CN115600795A - Data analysis method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a data analysis method, a data analysis device, computer equipment and a storage medium. The method comprises the following steps: acquiring green license price and carbon emission right price in a comparison period, carbon emission coefficient of the carbon product, and supply and demand quantity and product price of the carbon product in the comparison period; and determining the influence factor of the carbon product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand and the product price in the comparison period. By adopting the method, the interaction mechanism of carbon and green certificate markets can be effectively carded and clarified, and the price fluctuation of upstream carbon products and the influence of downstream carbon product industries on the combined market are determined.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a data analysis method, an apparatus, a computer device, and a storage medium.
Background
With the synergistic development of domestic carbon and green certificate markets, an analysis method related to the carbon and green certificate markets appears, and in the traditional analysis method related to the carbon and green certificate markets, the influence of green certificate prices and carbon emission right prices on a carbon trading market is mainly analyzed.
However, the current analysis method related to the carbon trading market faces many policy, mechanism, management and market problems, and the interaction mechanism between the upstream and downstream carbon production products and the carbon trading market cannot be effectively combed.
Disclosure of Invention
In view of the above, it is necessary to provide a data analysis method, an apparatus, a computer device, and a storage medium that can take into account the influence of changes in supply and demand, price, and the like of upstream-produced carbon products and downstream-produced carbon products on the carbon trading market.
In a first aspect, the present application provides a data analysis method, including:
acquiring green license price and carbon emission right price in a comparison period, carbon emission coefficient of the carbon product, and supply demand amount and product price of the carbon product in the comparison period; wherein the carbon production product comprises an upstream carbon production product and a downstream carbon production product, and the comparison period comprises a reference period and a target period;
and determining the influence factor of the carbon product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand and the product price in the comparison period.
In one embodiment, determining the influence factor of the carbon product on the total carbon emission according to the green license price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand in the comparison period and the product price comprises the following steps:
determining a first influence factor of the upstream carbon production product on the total carbon emission according to the upstream carbon emission coefficient of the upstream carbon production product, the supply and demand in the comparison period and the price of the upstream product;
and determining a second influence factor of the downstream carbon production product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient of the downstream carbon production product, the supply and demand amount in the comparison period and the downstream product price.
In one embodiment, determining a first impact factor of an upstream carbon product on a total amount of carbon emissions based on an upstream carbon emission coefficient of the upstream carbon product, a supply demand over a comparison period, and an upstream product price comprises:
determining an upstream demand price elastic coefficient corresponding to the upstream carbon production product according to the demand of the upstream carbon production product in the comparison period and the upstream product price;
determining an upstream supply price elastic coefficient corresponding to the upstream carbon production product according to the supply amount of the upstream carbon production product in the comparison time period and the upstream product price;
determining the price of the upstream supply and demand change product corresponding to the upstream carbon production product according to the upstream demand price elasticity coefficient, the upstream supply price elasticity coefficient, the supply and demand in the comparison time period and the upstream product price in the target time period corresponding to the upstream carbon production product;
and determining a first influence factor of the upstream carbon production product on the total carbon emission according to the upstream carbon emission coefficient of the upstream carbon production product, the upstream demand price elasticity coefficient, the upstream supply and demand change product price, the upstream product price in the comparison time period and the demand in the target time period.
In one embodiment, determining a second impact factor of the downstream carbon product on the total carbon emission based on the green license price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient, the demand in the comparison period, and the downstream product price of the downstream carbon product comprises:
determining a downstream cross price elastic coefficient corresponding to the downstream carbon production product according to the green certificate price and the carbon emission right price in the comparison period and the supply quantity of the downstream carbon production product in the comparison period;
determining a downstream supply price elastic coefficient corresponding to the downstream carbon production product according to the supply amount of the downstream carbon production product in the comparison time period and the downstream product price;
determining a downstream demand price elastic coefficient corresponding to the downstream carbon production product according to the demand of the downstream carbon production product in the comparison period and the downstream product price;
determining the downstream supply and demand change product price corresponding to the downstream carbon production product according to the downstream cross price elastic coefficient, the downstream demand price elastic coefficient, the downstream supply price elastic coefficient, the supply and demand amount in the comparison time period and the downstream product price in the target time period corresponding to the downstream carbon production product;
and determining a second influence factor of the downstream carbon production product on the total carbon emission according to the downstream carbon emission coefficient of the downstream carbon production product, the downstream demand price elasticity coefficient, the downstream supply and demand change product price, the downstream product price in the comparison time period and the demand in the target time period.
In one embodiment, in the case that the downstream carbon-producing product is a new energy product, determining a downstream cross price elasticity coefficient corresponding to the downstream carbon-producing product according to the green license price and the carbon emission right price in the comparison period and the supply amount of the downstream carbon-producing product in the comparison period includes:
and determining a downstream cross price elasticity coefficient corresponding to the downstream carbon production product according to the green certificate price, the carbon emission right price and the petroleum price in the upstream carbon production product in the comparison period and the supply amount of the downstream carbon production product in the comparison period.
In one embodiment, the method further comprises:
and determining the influence factor of the total carbon emission on the green certificate according to the green certificate conversion ratio coefficient and the total carbon emission in the comparison period.
In a second aspect, the present application further provides a data analysis apparatus, comprising:
the acquisition module is used for acquiring the green license price and the carbon emission right price in the comparison time period, the carbon emission coefficient of the carbon-producing product, and the supply and demand quantity and the product price of the carbon-producing product in the comparison time period; wherein the carbon product comprises an upstream carbon product and a downstream carbon product, and the comparison period comprises a reference period and a target period;
and the analysis module is used for determining the influence factor of the carbon product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand and the product price in the comparison period.
In a third aspect, the present application further provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the following steps when executing the computer program:
acquiring green license price and carbon emission right price in a comparison period, carbon emission coefficient of the carbon product, and supply demand amount and product price of the carbon product in the comparison period; wherein the carbon product comprises an upstream carbon product and a downstream carbon product, and the comparison period comprises a reference period and a target period;
and determining the influence factor of the carbon product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand and the product price in the comparison period.
In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring green license price and carbon emission right price in a comparison period, carbon emission coefficient of the carbon product, and supply and demand quantity and product price of the carbon product in the comparison period; wherein the carbon production product comprises an upstream carbon production product and a downstream carbon production product, and the comparison period comprises a reference period and a target period;
and determining the influence factor of the carbon product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand and the product price in the comparison period.
In a fifth aspect, the present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring green license price and carbon emission right price in a comparison period, carbon emission coefficient of the carbon product, and supply demand amount and product price of the carbon product in the comparison period; wherein the carbon production product comprises an upstream carbon production product and a downstream carbon production product, and the comparison period comprises a reference period and a target period;
and determining the influence factor of the carbon production product on the total carbon emission according to the green license price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon production product, the supply demand and the product price in the comparison period.
The data analysis method, the data analysis device, the computer equipment and the storage medium are used for obtaining the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon-producing product and the supply demand and the product price of the carbon-producing product in the comparison period, and determining the influence factor of the carbon-producing product on the total carbon emission amount according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon-producing product, the supply demand and the product price in the comparison period. By the scheme, the effect of effectively combing and clearing the interaction mechanism between the upstream and downstream carbon production products and the carbon trading market can be achieved, and the influence of the upstream carbon production product price fluctuation and the downstream carbon production product industry on the carbon trading market is determined.
Drawings
FIG. 1 is a diagram of an exemplary data analysis application;
FIG. 2 is a schematic flow chart diagram of a data analysis method in one embodiment;
FIG. 3 is a causal loop diagram for a carbon-based trading market in one embodiment;
FIG. 4 is a schematic flow chart illustrating the process for determining the impact factor of carbon production on the total carbon emissions in one embodiment;
FIG. 5 is a schematic flow chart illustrating the influence of upstream carbon production on the total carbon emissions in one embodiment;
FIG. 6 is a schematic flow chart illustrating the impact factors of downstream carbon products on total carbon emissions in one embodiment;
FIG. 7 is a block diagram showing the construction of a data analysis apparatus according to an embodiment;
FIG. 8 is a block diagram of the structure of an analysis module in one embodiment;
FIG. 9 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
The data analysis method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process, for example, storing data such as green license prices and carbon emission prices for different periods of time. The data storage system may be integrated on the server 104, or may be located on the cloud or other network server. The data analysis method provided by the application can be applied to the server 104, can also be applied to the terminal 102, and can also be realized through the interaction between the terminal 102 and the server 104. For example, the server 104 may construct a causal kinetic model based on green license prices and carbon emission right prices for the comparison period, and data such as carbon emission coefficients of the carbon-produced product, supply demand amounts and product prices for the comparison period, and analyze the influence of the carbon-produced product on the carbon emission market based on the causal kinetic model; further, the server 104 may send the analyzed result to the terminal 102 for presentation. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, and the like. The server 104 may be implemented as a stand-alone server or a server cluster comprised of multiple servers.
In one embodiment, as shown in fig. 2, a data analysis method is provided, which relates to how to analyze the impact of carbon-producing products on the carbon emission market, and in particular to the impact of carbon-producing products in a certain area on the carbon emission market.
The embodiment is described by taking the application of the method to the server 104 in fig. 1 as an example, and includes the following steps:
s201, acquiring green license price and carbon emission right price in a comparison time period, carbon emission coefficient of the carbon product, and supply and demand quantity and product price of the carbon product in the comparison time period.
The green certificate is a certificate issued to a renewable energy power generator, and is used for proving that part of electric power of the power generator comes from renewable energy, and the electric power represents a certain amount of green electric quantity, and the green certificate has certain timeliness, so that the price of the green certificate is determined by a short-term supply-demand relationship.
The carbon emission price is a pricing basis and a core element in the whole carbon market trading system. Alternatively, the carbon emission right price may be influenced by various factors, such as government quota allocation, energy market conditions, etc., in addition to the market supply and demand law, and the green license price and the carbon emission right price may be directly obtained from documents related to the green license price and the carbon emission right price.
The carbon-producing product in this embodiment refers to a product that generates a certain amount of carbon dioxide during production or use, for example, products such as copper, aluminum, glass, stainless steel, and batteries that generate a certain amount of carbon dioxide during production; fossil energy sources such as petroleum, coal, natural gas, etc. produce a certain amount of carbon dioxide during use, and these products may be collectively referred to as carbon-producing products. Alternatively, the present embodiment may classify the carbon products into two major categories, i.e., upstream carbon products and downstream carbon products. Further, the upstream carbon production product mainly comprises fossil energy, and the downstream carbon production product mainly comprises traditional carbon production products and new energy products. Wherein, the traditional carbon production products mainly comprise copper, aluminum, glass, stainless steel, batteries and other products.
The carbon emission coefficient refers to a fixed value of the amount of carbon dioxide produced per unit time during the production or use of these carbon-producing products.
The comparison period includes a reference period and a target period. The target time interval refers to any time interval in which the supply and demand quantity, the product price or the green certificate price of the carbon product and the like are changed, and the reference time interval refers to any time interval with reference value, such as the time interval closest to the target time interval. For example, the target period may be the current year and the reference period may be the previous year.
S202, determining an influence factor of the carbon product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand and the product price in the comparison period.
Wherein, the total carbon emission refers to the total carbon dioxide emission in the process of producing or using the carbon products (i.e. the upstream carbon product and the downstream carbon product); and the influence factor of the carbon production product on the total carbon emission can be understood as the influence condition of the change of the carbon production product on the total carbon emission.
It is understood that the total amount of carbon emissions will vary depending on the supply and demand of the carbon-producing product; further, the supply and demand of the carbon product may vary according to the price of the carbon product, the green license price, and the carbon emission right price. Thus, after determining the green license price and the carbon emission rights price for the comparison period, the carbon emission coefficient of the carbon product, and the supply demand and the product price for the comparison period, a causal loop diagram can be constructed, as shown in fig. 3, which includes the carbon product, green license and carbon emission rights upstream and downstream. For example, when the green license price and the carbon emission right price are changed, the yield of the carbon products such as copper, aluminum, glass, stainless steel and batteries is changed, the price and the demand of the carbon products are changed, and the change of the total carbon emission is influenced when the price and the demand of the carbon products are changed; in addition, the change of the total carbon emission quantity also influences the requirements, prices and the like of green certificates and carbon emission rights, and therefore a causal loop diagram comprising downstream carbon products, green certificates and carbon emission rights is formed.
And constructing a dynamic model containing upstream and downstream carbon-producing products, green certificates and carbon emission rights based on the causal loop diagram, and specifically analyzing the influence of the upstream and downstream carbon-producing products on a carbon market, namely the influence on the total carbon emission.
Further, the kinetic model can be constructed by building a causal loop diagram using commercial software, such as stella, itthin, powersim, vensmim, DYNAMO, and the like. The specific implementation mode is that variables of a reference time interval are input as initial data to simulate to obtain a group of states. Wherein the variables include green license price, carbon emission right price, and the like. And then, inputting the variables of the target time period into the dynamic model as comparison data to simulate to obtain another group of states. And comparing the two simulation results to obtain the price fluctuation of the upstream carbon production product and the influence of the downstream carbon production product industry on the carbon trading market.
In the data analysis method, the influence factor of the carbon product on the total carbon emission amount is determined by acquiring the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, and the supply demand amount and the product price of the carbon product in the comparison period, according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, and the supply demand amount and the product price in the comparison period. By the scheme, the effect of effectively combing and clearing the interaction mechanism between the upstream and downstream carbon production products and the carbon trading market can be achieved, and the price fluctuation of the upstream carbon production product and the influence of the downstream carbon production product industry on the carbon trading market are determined.
Further, as shown in fig. 3, the influence of the total carbon emission on green certificate can be analyzed through the relationship between the green certificate conversion ratio coefficient, the total carbon emission and the green certificate requirement. Optionally, the influence factor of the total carbon emission on green certificates can be determined according to the green certificate conversion ratio coefficient and the total carbon emission in the comparison period.
Specifically, the influence factor of the total carbon emission on green licenses can be determined based on the formulas 1 and 2 according to the green license conversion proportionality coefficient and the total carbon emission in the current year.
Q′ l ＝η l V (formula 1)
ΔQ l ＝Q′ l -Q l (formula 2)
Wherein eta is l The green evidence exchange rate coefficient is referred to; v refers to the total amount of carbon emissions; q' l Refers to green certificate requirement, Q, after the total carbon emission is changed l Green license requirement when the total carbon emission is unchanged; delta Q l Refers to the variation of green requirements, i.e., the influence factor of the total carbon emission on green.
In an embodiment, based on the above embodiment, S202 is further explained in detail, as shown in fig. 4, the specific steps include:
s401, determining a first influence factor of the upstream carbon product on the total carbon emission according to the upstream carbon emission coefficient of the upstream carbon product, the supply and demand amount in the comparison period and the price of the upstream product.
Optionally, the supply and demand amount of the upstream carbon production product in the reference time period may be subtracted from the supply and demand amount of the upstream carbon production product in the target time period to obtain the supply and demand variation amount of the upstream carbon production product; similarly, the price variation of the upstream carbon product may be obtained by subtracting the upstream product price of the upstream carbon product in the reference time period from the upstream product price in the target time period.
And then determining the influence of the upstream carbon product on the total carbon emission according to the supply and demand variation, the price variation and the upstream carbon emission coefficient of the upstream carbon product. For example, the supply and demand variation, the price variation, and the upstream carbon emission coefficient of the upstream carbon product may be input to a pre-trained influence factor determination model, and then a first influence factor of the upstream carbon product on the total carbon emission may be determined according to an output result of the influence factor determination model.
S402, determining a second influence factor of the downstream carbon production product on the total carbon emission according to the green license price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient, the supply and demand amount and the downstream product price in the comparison period.
Optionally, the supply and demand amount of the downstream carbon production product in the reference time period may be subtracted from the supply and demand amount of the downstream carbon production product in the target time period to obtain a demand variation amount of the downstream carbon production product; similarly, the price variation of the downstream carbon product can be obtained by subtracting the downstream product price of the downstream carbon product in the reference time period from the downstream product price of the downstream carbon product in the target time period.
And then determining the influence condition of the downstream carbon production product on the total carbon emission according to the supply and demand variable quantity, the price variable quantity and the downstream carbon emission coefficient of the downstream carbon production product, and the green certificate price and the carbon emission right price in the comparison period. For example, the supply and demand variation, the price variation and the downstream carbon emission coefficient of the downstream carbon production product, as well as the green license price and the carbon emission right price in the comparison period may be input into the pre-trained influence factor determination model, and then the second influence factor of the downstream carbon production product on the total carbon emission amount may be determined according to the output result of the influence factor determination model.
In this embodiment, the interaction mechanism in the carbon trading market can be comprehensively and accurately combed by analyzing the influence of the carbon-producing product on the total amount of carbon emission from two dimensions of the upstream carbon-producing product and the downstream carbon-producing product.
On the basis of the previous embodiment, in an embodiment, in the case that the supply and demand, price and the like of the downstream carbon production product do not change, the first influence factor of the upstream carbon production product on the total carbon emission is determined, as shown in fig. 5, the specific steps include:
s501, determining an upstream demand price elastic coefficient corresponding to the upstream carbon production product according to the demand quantity of the upstream carbon production product in the comparison time period and the upstream product price.
Specifically, the amount of change in demand of the upstream carbon product in the comparison period may be determined by formula 3, and the amount of change in price of the upstream carbon product in the comparison period may be determined by formula 4; then, the upstream demand price elastic coefficient corresponding to the upstream carbon product can be determined by equation 5.
ΔQ x ＝Q xc -Q x (formula 3)
ΔP x ＝P xc -P x (formula 4)
Wherein Q xc Refers to the annual demand on the upstream carbon-producing product x; q x Refers to the demand of upstream carbon production product x this year; delta Q x Refers to the amount of change in demand for upstream carbon product x; p is xc Refers to the upstream product price one year prior to the upstream carbon-producing product x; p is x Refers to the upstream carbon product price of x this year; delta P x Refers to the amount of price change of the upstream carbon product x; epsilon xd Refers to the upstream demand price elasticity coefficient of the upstream carbon-produced product x. Furthermore, the value of the upstream carbon product x can be o, g and f, wherein o refers to petroleum, g refers to natural gas and f refers to coal.
S502, determining an upstream supply price elastic coefficient corresponding to the upstream carbon production product according to the supply quantity of the upstream carbon production product in the comparison time period and the upstream product price.
Specifically, the supply variation of the upstream carbon product in the comparison period may be determined according to the supply amount of the upstream carbon product in the comparison period, and the price variation of the upstream carbon product in the comparison period may be determined according to the price of the upstream carbon product in the comparison period; thereafter, an upstream supply price elastic coefficient corresponding to the upstream carbon-producing product can be determined by equation 6.
Wherein S is xc Refers to the amount of supply of the upstream carbon-producing product x in the last year; delta S x Refers to the amount of variation in the supply of upstream carbon-producing product x; epsilon xs Refers to the upstream supply price elastic modulus of the upstream carbon-produced product x.
S503, determining the upstream supply and demand change product price corresponding to the upstream carbon production product according to the upstream demand price elasticity coefficient, the upstream supply price elasticity coefficient, the supply and demand in the comparison time period and the upstream product price in the target time period corresponding to the upstream carbon production product.
The price of the upstream carbon product x caused by the change in supply and demand is referred to as the upstream supply and demand change product price.
Specifically, the upstream supply and demand change product price corresponding to the upstream carbon production product can be determined by equation 7.
Wherein S is x Means the supply of upstream carbon-producing products x this year; p' x The upstream supply and demand change product price of the upstream carbon product x after the supply and demand change is referred to.
Further, the consumption of upstream carbon products can be determined by equation 8. Wherein, Q' x Refers to the demand of upstream carbon-producing product x as affected by price.
S504, determining a first influence factor of the upstream carbon production product on the total carbon emission according to the upstream carbon emission coefficient of the upstream carbon production product, the upstream demand price elasticity coefficient, the upstream supply and demand change product price, the upstream product price in the comparison time period and the demand in the target time period.
Optionally, changes in the supply demand and product price of upstream carbon-producing products can affect the total carbon emissions. Specifically, the carbon emissions that are affected when the supply demand and the product price of the upstream carbon-producing product change, that is, the first influence factor of the upstream carbon-producing product on the total carbon emissions, can be determined by equations 9 and 10.
V′ c ＝∑ x x x Q' x (formula 9)
ΔV c ＝V′ c -V c (formula 10)
Wherein x is x Refers to the carbon emission coefficient corresponding to the upstream carbon production product x; v' c The carbon emission of all the upstream carbon production products is changed after the supply demand and the product price of any upstream carbon production product are changed; v c The carbon emission of all upstream carbon products when the supply demand and the product price of all upstream carbon products are not changed; Δ V c Means the amount of change in carbon emission of an upstream carbon product, and further, when supply and demand, price, etc. of a downstream carbon product are not changed c I.e., the first impact factor of upstream carbon products on the total carbon emissions.
In this embodiment, through carrying out the integrated analysis to the upstream carbon emission coefficient, the supply and demand volume and the upstream product price etc. of upstream carbon product, can accurately quantify the influence of upstream carbon product to the total amount of carbon emission, and then reach the effect of effectively combing clear carbon trading market interaction mechanism.
In another embodiment, under the condition that the supply and demand, the price, and the like of the upstream carbon production product are not changed, the second influence factor of the downstream carbon production product on the total carbon emission is determined, as shown in fig. 6, the specific steps include:
s601, determining a downstream cross price elastic coefficient corresponding to the downstream carbon production product according to the green license price and the carbon emission right price in the comparison time period and the supply amount of the downstream carbon production product in the comparison time period.
In this embodiment, the downstream cross price elastic coefficient includes a first downstream cross price elastic coefficient and a second downstream cross price elastic coefficient. The so-called first downstream cross-price elasticity coefficient is used to characterize the effect of green-bill price changes on the downstream carbon-producing product supply (also referred to as throughput); the second downstream cross price elasticity coefficient is used to characterize the effect of carbon emission rights price changes on downstream carbon product supply.
Alternatively, a first downstream cross price elastic coefficient corresponding to the downstream carbon-yielding product can be determined by equation 11.
Wherein, delta S i The change of the supply amount of the downstream carbon-producing product i in the previous year and the current year is shown; s ic The supply amount of the downstream carbon-producing product i in the current year is shown; delta P l The variable quantity of the green certificate price of the last year and the current year is represented; p is l The green license price of the year is shown; epsilon lc The first downstream cross-over price elastic coefficient for downstream carbon-yielding product i is indicated. Furthermore, the value of i can be copper, aluminum, glass, stainless steel, batteries, new energy and other products.
Similarly, a second downstream cross-price elastic coefficient corresponding to the downstream carbon-yielding product can be determined by equation 12.
Wherein, Δ P t Representing the variation of the carbon emission right value of the previous year and the current year; p t The carbon emission right price of the year is shown; epsilon tc Representing a second downstream cross-price elastic coefficient corresponding to the downstream carbon-yielding product i.
S602, determining a downstream supply price elastic coefficient corresponding to the downstream carbon production product according to the supply amount of the downstream carbon production product in the comparison time period and the downstream product price.
Wherein the downstream supply price elasticity coefficient is used for representing the influence of the downstream supply quantity change on the downstream product price.
Specifically, the downstream supply price elastic coefficient corresponding to the downstream carbon-producing product can be determined by equation 13.
Wherein, Δ P i Showing the last year and the current year of the downstream carbon-producing product iPrice variance of degrees; p is ic Represents the price of the downstream carbon-producing product i in the current year; epsilon is The downstream feed price elastic coefficient corresponding to the downstream carbon-producing product i is indicated.
S603, determining the downstream demand price elastic coefficient corresponding to the downstream carbon production product according to the demand of the downstream carbon production product in the comparison period and the downstream product price.
Wherein the downstream demand price elasticity coefficient is used for representing the influence of the downstream demand quantity change on the downstream product price.
Alternatively, in response to determining the downstream supply demand price elasticity coefficient, the present embodiment may also determine the downstream demand price elasticity coefficient corresponding to the downstream carbon-produced product by equation 14.
Wherein, Δ Q i Representing the change of the demand of the downstream carbon-producing product i from the previous year to the current year; q ic Represents the annual demand on the downstream carbon-producing product i; epsilon id The downstream demand price elastic coefficient corresponding to the downstream carbon production product i is shown.
S604, determining the downstream supply and demand change product price corresponding to the downstream carbon production product according to the downstream cross price elastic coefficient, the downstream demand price elastic coefficient, the downstream supply price elastic coefficient, the supply and demand amount in the comparison time period and the downstream product price in the target time period corresponding to the downstream carbon production product.
The price of the downstream carbon product x caused by the change of supply and demand is referred to as the price of the downstream carbon product x.
Specifically, the downstream supply and demand change product price corresponding to the downstream carbon production product can be determined by equation 15. Wherein, P' i The downstream supply and demand change product price of the downstream carbon production product i is shown.
S605, determining a second influence factor of the downstream carbon production product on the total carbon emission according to the downstream carbon emission coefficient of the downstream carbon production product, the downstream demand price elasticity coefficient, the downstream supply and demand change product price, the downstream product price in the comparison period and the demand in the target period.
Specifically, the demand quantity Q 'of the downstream carbon-producing product i affected by the price can be determined according to the downstream demand price elasticity coefficient, the downstream supply and demand variation product price and the downstream product price of the downstream carbon-producing product in the comparison period through the formula 16' i 。
Then, the carbon emission amount that is affected when the supply demand and the product price of the downstream carbon product i change can be determined by the formula 17 according to the downstream carbon emission coefficient of the downstream carbon product i and the demand of the downstream carbon product i affected by the price.
V′ m ＝∑ i X i Q′ i (formula 17)
Wherein X i Refers to the carbon emission coefficient of the downstream carbon-producing product i; v' m Refers to the carbon emission of all downstream carbon-producing products after the supply demand and the product price of any downstream carbon-producing product are changed.
Further, the influence of the downstream carbon product on the total amount of carbon emissions, i.e., the second influence factor of the downstream carbon product on the total amount of carbon emissions, can be determined by equation 18.
ΔV m ＝V′ m -V m (formula 18)
Wherein, V m The carbon emission of all downstream carbon production products when the supply demand and the product price of all downstream carbon production products are not changed; Δ V m Refers to the amount of change in carbon emission of the downstream carbon-producing product, i.e., the total amount of carbon emission of the downstream carbon-producing productA second impact factor.
In the embodiment, the influence of the downstream carbon production product on the total carbon emission amount can be accurately quantified by comprehensively analyzing the downstream carbon emission coefficient of the downstream carbon production product, the supply and demand amount in the comparison period, the downstream product price and the like, and the effect of effectively combing and clearing the interaction mechanism of the carbon trading market is further achieved.
On the basis of the above embodiment, in an embodiment, in the case that the downstream carbon-producing product is a new energy product, determining the downstream cross price elastic coefficient corresponding to the downstream carbon-producing product according to the green license price and the carbon emission right price in the comparison period and the supply amount of the downstream carbon-producing product in the comparison period may further be: and determining a downstream cross price elasticity coefficient corresponding to the downstream carbon production product according to the green certificate price, the carbon emission right price and the petroleum price in the upstream carbon production product in the comparison period and the supply amount of the downstream carbon production product in the comparison period.
Optionally, in the case that the downstream carbon production product is a new energy product, the downstream cross price elastic coefficient further includes a third downstream cross price elastic coefficient. The third downstream cross price elasticity coefficient is used for representing the influence of the supply quantity change of the new energy product on the price of the new energy product.
Specifically, the first downstream cross price elasticity coefficient and the second downstream cross price elasticity coefficient may be determined based on the green license price and the carbon emission right price in the comparison period, and the supply amount of the downstream carbon-producing product in the comparison period, in combination with the above equations 11 and 12.
Further, the third downstream cross-price elastic coefficient may also be determined by equation 19 based on the supply amount of the downstream carbon product in the comparison period and the price of oil in the upstream carbon product in the comparison period.
Wherein, Δ S o The change of the supply amount of the petroleum in the previous year and the current year is shown; s oc The supply amount of the petroleum in the previous year is shown; delta P o The price change quantity of the previous year and the current year of the oil is shown; p o The price of the oil in the year is shown; epsilon oc The third downstream cross-price elastic coefficient is indicated.
Correspondingly, when determining the downstream supply and demand change product price corresponding to the downstream carbon production product, the downstream supply and demand change product price corresponding to the downstream carbon production product can be determined according to the first downstream cross price elasticity coefficient, the second downstream cross price elasticity coefficient, the third downstream cross price elasticity coefficient, the downstream demand price elasticity coefficient, the downstream supply price elasticity coefficient, the supply and demand in the comparison time period and the downstream product price in the target time period corresponding to the downstream carbon production product.
In the embodiment, new energy products in downstream carbon production products are specifically analyzed, and when the supply amount of the new energy products is changed, the carbon emission amount of the new energy products is changed. Through the more detailed downstream carbon production product that divides for the result when the analysis carbon production product is to the influence of carbon emission total amount is more laminated actual, and then reaches the effect of effectively combing clear carbon and green card market interaction mechanism, and confirms the influence of downstream carbon production product trade to the joint market of carbon and green card.
It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps. Based on the same inventive concept, the embodiment of the present application further provides a data analysis apparatus for implementing the data analysis method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the method, so specific limitations in one or more embodiments of the data analysis device provided below can be referred to as limitations on the data analysis method in the foregoing, and details are not described herein again.
In one embodiment, as shown in fig. 7, there is provided a data analysis apparatus 1 including: an acquisition module 10 and an analysis module 20, wherein:
the acquisition module 10 is used for acquiring a green license price and a carbon emission right price in a comparison period, a carbon emission coefficient of a carbon product, and a supply and demand amount and a product price of the carbon product in the comparison period; wherein the carbon product comprises an upstream carbon product and a downstream carbon product, and the comparison period comprises a reference period and a target period;
and the analysis module 20 is used for determining the influence factor of the carbon product on the total carbon emission according to the green license price and the carbon emission right price in the comparison time period, the carbon emission coefficient of the carbon product, the supply and demand amount in the comparison time period and the product price.
In one embodiment, as shown in fig. 8, the analysis module 20 in fig. 7 includes:
an upstream analysis unit 21, configured to determine a first influence factor of the upstream carbon product on the total carbon emission amount according to an upstream carbon emission coefficient of the upstream carbon product, the supply and demand amount in the comparison period, and the upstream product price;
and the downstream analysis unit 22 is used for determining a second influence factor of the downstream carbon production product on the total carbon emission amount according to the green license price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient, the demand and the price of the downstream carbon production product in the comparison period.
In one embodiment, the upstream analysis unit 21 in fig. 8 further comprises:
the first coefficient subunit is used for determining an upstream demand price elastic coefficient corresponding to the upstream carbon production product according to the demand quantity of the upstream carbon production product in the comparison time period and the upstream product price;
the first coefficient subunit is further used for determining an upstream supply price elastic coefficient corresponding to the upstream carbon production product according to the supply quantity of the upstream carbon production product in the comparison period and the upstream product price;
the first price grid unit is used for determining the upstream supply and demand change product price corresponding to the upstream carbon production product according to the upstream demand price elasticity coefficient and the upstream supply price elasticity coefficient corresponding to the upstream carbon production product, the supply and demand in the comparison time period and the upstream product price in the target time period;
and the first factor subunit is used for determining a first influence factor of the upstream carbon production product on the total carbon emission amount according to the upstream carbon emission coefficient of the upstream carbon production product, the upstream demand price elasticity coefficient, the upstream supply and demand change product price, the upstream product price in the comparison time period and the demand in the target time period.
In one embodiment, the downstream analysis unit 22 in fig. 8 further comprises:
the second coefficient subunit is used for determining a downstream cross price elastic coefficient corresponding to the downstream carbon production product according to the green license price and the carbon emission right price in the comparison period and the supply quantity of the downstream carbon production product in the comparison period;
the second coefficient subunit is also used for determining a downstream supply price elastic coefficient corresponding to the downstream carbon production product according to the supply quantity of the downstream carbon production product in the comparison period and the downstream product price;
the second coefficient subunit is also used for determining a downstream demand price elastic coefficient corresponding to the downstream carbon production product according to the demand of the downstream carbon production product in the comparison period and the downstream product price;
the second grid unit is used for determining the downstream supply and demand change product price corresponding to the downstream carbon production product according to the downstream cross price elasticity coefficient, the downstream demand price elasticity coefficient, the downstream supply price elasticity coefficient, the supply and demand in the comparison time period and the downstream product price in the target time period corresponding to the downstream carbon production product;
and the second factor subunit is used for determining a second influence factor of the downstream carbon production product on the total carbon emission according to the downstream carbon emission coefficient of the downstream carbon production product, the downstream demand price elasticity coefficient, the downstream supply and demand change product price, the downstream product price in the comparison period and the demand in the target period.
On the basis of the previous embodiment, the second coefficient subunit is further specifically configured to:
and determining the downstream cross price elastic coefficient corresponding to the downstream carbon production according to the green certificate price, the carbon emission right price and the petroleum price in the upstream carbon production in the comparison period, and the supply amount of the downstream carbon production in the comparison period.
In one embodiment, the data analysis apparatus further comprises:
and the green certificate analysis module is used for determining influence factors of the total carbon emission on the green certificate according to the green certificate conversion ratio coefficient and the total carbon emission in the target time period.
The modules in the data analysis device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data such as green license prices and carbon emission right prices in different periods. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data analysis method.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring green license price and carbon emission right price in a comparison period, carbon emission coefficient of the carbon product, and supply and demand quantity and product price of the carbon product in the comparison period; wherein the carbon product comprises an upstream carbon product and a downstream carbon product, and the comparison period comprises a reference period and a target period;
and determining the influence factor of the carbon production product on the total carbon emission according to the green license price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon production product, the supply demand and the product price in the comparison period.
In one embodiment, when the processor executes the logic of the computer program for determining the influence factor of the carbon product on the total carbon emission according to the green license price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand in the comparison period and the product price, the following steps are specifically realized:
determining a first influence factor of the upstream carbon production product on the total carbon emission according to an upstream carbon emission coefficient of the upstream carbon production product, the supply and demand in the comparison period and the price of the upstream product; and determining a second influence factor of the downstream carbon production product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient of the downstream carbon production product, the supply and demand amount in the comparison period and the downstream product price.
In one embodiment, the following steps are embodied in the processor executing logic in the computer program for determining a first impact factor of the upstream carbon product on the total amount of carbon emissions based on the upstream carbon emission coefficient of the upstream carbon product, the supply and demand over the comparison period, and the upstream product price:
determining an upstream demand price elastic coefficient corresponding to the upstream carbon production product according to the demand of the upstream carbon production product in the comparison period and the upstream product price; determining an upstream supply price elastic coefficient corresponding to the upstream carbon production product according to the supply amount of the upstream carbon production product in the comparison period and the upstream product price; determining the price of the upstream supply and demand change product corresponding to the upstream carbon production product according to the upstream demand price elasticity coefficient, the upstream supply price elasticity coefficient, the supply and demand in the comparison time period and the upstream product price in the target time period corresponding to the upstream carbon production product; and determining a first influence factor of the upstream carbon production product on the total carbon emission according to the upstream carbon emission coefficient of the upstream carbon production product, the upstream demand price elasticity coefficient, the upstream supply and demand change product price, the upstream product price in the comparison time period and the demand in the target time period.
In one embodiment, the following steps are embodied in the logic of the computer program when executing the logic for determining the second influence factor of the downstream carbon-producing product on the total carbon emission according to the green license price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient, the supply and demand amount in the comparison period and the downstream product price of the downstream carbon-producing product:
determining a downstream cross price elastic coefficient corresponding to the downstream carbon production product according to the green certificate price and the carbon emission right price in the comparison period and the supply quantity of the downstream carbon production product in the comparison period; determining a downstream supply price elastic coefficient corresponding to the downstream carbon production product according to the supply amount of the downstream carbon production product in the comparison period and the downstream product price; determining a downstream demand price elastic coefficient corresponding to the downstream carbon production product according to the demand of the downstream carbon production product in the comparison period and the downstream product price; determining the downstream supply and demand change product price corresponding to the downstream carbon production product according to the downstream cross price elastic coefficient, the downstream demand price elastic coefficient, the downstream supply price elastic coefficient, the supply and demand amount in the comparison time period and the downstream product price in the target time period corresponding to the downstream carbon production product; and determining a second influence factor of the downstream carbon production product on the total carbon emission according to the downstream carbon emission coefficient of the downstream carbon production product, the downstream demand price elasticity coefficient, the downstream supply and demand change product price, the downstream product price in the comparison time period and the demand in the target time period.
In one embodiment, when the processor executes logic for determining a downstream cross price elasticity coefficient corresponding to the downstream carbon product according to the green license price and the carbon emission right price in the comparison period and the supply amount of the downstream carbon product in the comparison period in the case that the downstream carbon product is a new energy product in the computer program, the following steps are specifically implemented:
and determining the downstream cross price elastic coefficient corresponding to the downstream carbon production according to the green certificate price, the carbon emission right price and the petroleum price in the upstream carbon production in the comparison period, and the supply amount of the downstream carbon production in the comparison period.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and determining the influence factor of the total carbon emission on the green certificate according to the green certificate conversion ratio coefficient and the total carbon emission in the comparison period.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring green license price and carbon emission right price in a comparison period, carbon emission coefficient of the carbon product, and supply and demand quantity and product price of the carbon product in the comparison period; wherein the carbon product comprises an upstream carbon product and a downstream carbon product, and the comparison period comprises a reference period and a target period;
and determining the influence factor of the carbon production product on the total carbon emission according to the green license price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon production product, the supply demand and the product price in the comparison period.
In one embodiment, the following steps are specifically realized when the operation of determining the influence factor of the carbon product on the total carbon emission amount is executed by the processor according to the green license price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand in the comparison period and the product price in the comparison period in the computer program:
determining a first influence factor of the upstream carbon production product on the total carbon emission according to the upstream carbon emission coefficient of the upstream carbon production product, the supply and demand in the comparison period and the price of the upstream product; and determining a second influence factor of the downstream carbon production product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient of the downstream carbon production product, the supply and demand amount in the comparison period and the downstream product price.
In one embodiment, the operation of the computer program to determine a first impact factor of the upstream carbon product on the total amount of carbon emissions based on the upstream carbon emission coefficient of the upstream carbon product, the supply and demand over the comparison period, and the upstream product price is executed by the processor and specifically implements the steps of:
determining an upstream demand price elastic coefficient corresponding to the upstream carbon production product according to the demand of the upstream carbon production product in the comparison period and the upstream product price; determining an upstream supply price elastic coefficient corresponding to the upstream carbon production product according to the supply amount of the upstream carbon production product in the comparison period and the upstream product price; determining the price of the upstream supply and demand change product corresponding to the upstream carbon production product according to the upstream demand price elasticity coefficient, the upstream supply price elasticity coefficient, the supply and demand in the comparison time period and the upstream product price in the target time period corresponding to the upstream carbon production product; and determining a first influence factor of the upstream carbon production product on the total carbon emission according to the upstream carbon emission coefficient of the upstream carbon production product, the upstream demand price elasticity coefficient, the upstream supply and demand change product price, the upstream product price in the comparison time period and the demand in the target time period.
In one embodiment, the following steps are embodied in the computer program when the operation of determining the second influence factor of the downstream carbon product on the total carbon emission is executed by the processor according to the green license price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient of the downstream carbon product, the supply and demand in the comparison period and the downstream product price:
determining a downstream cross price elastic coefficient corresponding to the downstream carbon production product according to the green certificate price and the carbon emission right price in the comparison time period and the supply amount of the downstream carbon production product in the comparison time period; determining a downstream supply price elastic coefficient corresponding to the downstream carbon production product according to the supply amount of the downstream carbon production product in the comparison time period and the downstream product price; determining a downstream demand price elastic coefficient corresponding to the downstream carbon production product according to the demand of the downstream carbon production product in the comparison period and the downstream product price; determining the downstream supply and demand change product price corresponding to the downstream carbon production product according to the downstream cross price elastic coefficient, the downstream demand price elastic coefficient, the downstream supply price elastic coefficient, the supply and demand amount in the comparison time period and the downstream product price in the target time period corresponding to the downstream carbon production product; and determining a second influence factor of the downstream carbon production product on the total carbon emission according to the downstream carbon emission coefficient of the downstream carbon production product, the downstream demand price elasticity coefficient, the downstream supply and demand change product price, the downstream product price in the comparison time period and the demand in the target time period.
In one embodiment, in the case that the downstream carbon product is a new energy product, when the operation of determining the downstream cross price elasticity coefficient corresponding to the downstream carbon product according to the green license price and the carbon emission right price in the comparison period and the supply amount of the downstream carbon product in the comparison period in the computer program is executed by the processor, the following steps are specifically implemented:
and determining the downstream cross price elastic coefficient corresponding to the downstream carbon production according to the green certificate price, the carbon emission right price and the petroleum price in the upstream carbon production in the comparison period, and the supply amount of the downstream carbon production in the comparison period.
In one embodiment, the computer program, when executed by the processor, further performs the steps of:
and determining the influence factor of the total carbon emission on the green certificate according to the green certificate conversion ratio coefficient and the total carbon emission in the comparison period.
In an embodiment, a computer program product is provided, comprising a computer program which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It should be noted that the green license and the related information of carbon emission (including but not limited to green license price, carbon emission right price, upstream carbon production product, downstream carbon production product, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) referred to in the present application are information and data which are fully authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases involved in the embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the various embodiments provided herein may be, without limitation, general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, or the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method of data analysis, the method comprising:
acquiring a green license price and a carbon emission right price in a comparison period, a carbon emission coefficient of a carbon production product, and a supply demand amount and a product price of the carbon production product in the comparison period; wherein the carbon product comprises an upstream carbon product and a downstream carbon product, and the comparison period comprises a reference period and a target period;
and determining the influence factor of the carbon product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand and the product price in the comparison period.
2. The method of claim 1, wherein determining the impact factor of the carbon product on the total amount of carbon emissions based on the green license price and the carbon emission rights price over the comparison period, and the carbon emission coefficient, the supply demand and the product price over the comparison period of the carbon product comprises:
determining a first influence factor of the upstream carbon production product on the total carbon emission according to an upstream carbon emission coefficient of the upstream carbon production product, the supply and demand in a comparison period and the price of the upstream product;
and determining a second influence factor of the downstream carbon production product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, and the downstream carbon emission coefficient of the downstream carbon production product, the supply and demand amount in the comparison period and the downstream product price.
3. The method of claim 2, wherein determining the first impact factor of the upstream carbon product on the total amount of carbon emissions based on the upstream carbon emission coefficient of the upstream carbon product, the supply and demand over the comparison period, and the upstream product price comprises:
determining an upstream demand price elastic coefficient corresponding to the upstream carbon production product according to the demand of the upstream carbon production product in the comparison period and the upstream product price;
determining an upstream supply price elasticity coefficient corresponding to the upstream carbon production product according to the supply amount of the upstream carbon production product in a comparison period and the upstream product price;
determining the upstream supply and demand change product price corresponding to the upstream carbon production product according to the upstream demand price elasticity coefficient, the upstream supply price elasticity coefficient, the supply and demand in the comparison time period and the upstream product price in the target time period corresponding to the upstream carbon production product;
and determining a first influence factor of the upstream carbon production product on the total carbon emission according to the upstream carbon emission coefficient, the upstream demand price elasticity coefficient, the upstream supply and demand change product price, the upstream product price in the comparison time period and the demand in the target time period of the upstream carbon production product.
4. The method of claim 2, wherein determining the second impact factor of the downstream carbon production product on the total amount of carbon emissions based on the green license price and the carbon emission rights price over the comparison period, and the downstream carbon emission coefficient, the supply demand over the comparison period, and the downstream product price of the downstream carbon production product comprises:
determining a downstream cross price elasticity coefficient corresponding to the downstream carbon production product according to the green certificate price and the carbon emission right price in the comparison time period and the supply quantity of the downstream carbon production product in the comparison time period;
determining a downstream supply price elastic coefficient corresponding to the downstream carbon production product according to the supply quantity of the downstream carbon production product in the comparison period and the downstream product price;
determining a downstream demand price elastic coefficient corresponding to the downstream carbon production product according to the demand of the downstream carbon production product in the comparison period and the downstream product price;
determining the downstream supply and demand change product price corresponding to the downstream carbon production product according to the downstream cross price elastic coefficient, the downstream demand price elastic coefficient, the downstream supply price elastic coefficient, the supply and demand amount in the comparison period and the downstream product price in the target period corresponding to the downstream carbon production product;
and determining a second influence factor of the downstream carbon production product on the total carbon emission according to the downstream carbon emission coefficient of the downstream carbon production product, the downstream demand price elasticity coefficient, the downstream supply and demand change product price, the downstream product price in the comparison time period and the demand in the target time period.
5. The method of claim 4, wherein determining the downstream cross-price elasticity coefficient corresponding to the downstream carbon-producing product based on the green license price and the carbon emission right price in the comparison period and the supply amount of the downstream carbon-producing product in the comparison period in the case that the downstream carbon-producing product is a new energy product comprises:
and determining a downstream cross price elasticity coefficient corresponding to the downstream carbon production product according to the green certificate price, the carbon emission right price and the price of the petroleum in the upstream carbon production product in the comparison period, and the supply amount of the downstream carbon production product in the comparison period.
6. The method of claim 1, further comprising:
and determining the influence factor of the total carbon emission on the green certificate according to the green certificate conversion ratio coefficient and the total carbon emission in the comparison period.
7. A data analysis apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring the green license price and the carbon emission right price in the comparison time period, the carbon emission coefficient of the carbon-producing product, and the supply and demand quantity and the product price of the carbon-producing product in the comparison time period; wherein the carbon-yielding product comprises an upstream carbon-yielding product and a downstream carbon-yielding product, and the comparison period comprises a reference period and a target period;
and the analysis module is used for determining the influence factor of the carbon product on the total carbon emission according to the green certificate price and the carbon emission right price in the comparison period, the carbon emission coefficient of the carbon product, the supply demand and the product price in the comparison period.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 6 when executing the computer program.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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| CN110415030A (en) * | 2019-07-22 | 2019-11-05 | 华北电力大学 | A kind of pricing method and calculating equipment of carbon emission power |
| CN110956344A (en) * | 2020-02-24 | 2020-04-03 | 华北电力大学 | Source-load coordinated optimization scheduling method considering green certificate and carbon trading system |
| CN113222465A (en) * | 2021-06-01 | 2021-08-06 | 昆明理工大学 | Comprehensive energy system optimization operation method considering carbon-green certificate transaction mechanism |
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| CN110415030A (en) * | 2019-07-22 | 2019-11-05 | 华北电力大学 | A kind of pricing method and calculating equipment of carbon emission power |
| CN110956344A (en) * | 2020-02-24 | 2020-04-03 | 华北电力大学 | Source-load coordinated optimization scheduling method considering green certificate and carbon trading system |
| CN113222465A (en) * | 2021-06-01 | 2021-08-06 | 昆明理工大学 | Comprehensive energy system optimization operation method considering carbon-green certificate transaction mechanism |
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