CN113177711A - Intensive sea use adjusting method and system for marine ranching - Google Patents
Intensive sea use adjusting method and system for marine ranching Download PDFInfo
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Abstract
The invention discloses a method and a system for adjusting intensive sea use in a marine ranching, which comprises the steps of firstly, extracting main components from input indexes and output indexes respectively by adopting a main component analysis method; secondly, respectively carrying out standardization treatment on the principal component values of the input index and the principal component values of the output index by using a maximum standardization method to obtain a first parameter and a second parameter; calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch; then substituting the efficiency value, the third parameter and the fourth parameter of each marine ranch into a Tobit model, and estimating by adopting a maximum likelihood method to obtain a regression coefficient corresponding to each variable; and finally, adjusting the intensive sea level of each marine ranch based on the regression coefficient corresponding to each variable, thereby improving the overall intensive property of the marine ranch sea and realizing reasonable planning and management of the marine industry construction sea.
Description
Technical Field
The invention relates to the technical field of marine management for marine industrial construction, in particular to a method and a system for adjusting intensive sea utilization of a marine ranch.
Background
In recent years, the marine ranch has become a new growth point of marine economy as a new state with the functions of fishery resource recovery and ecological restoration of water areas. The government of China actively promotes the high-speed development of the marine ranch, and the marine ranch is an important emerging marine type no matter from the perspective of the right area of a single ranch or the overall scale. Because the sea surface area and the scale for the marine ranch are large, the rapidly developed marine ranch inevitably occupies the space of the sea area, and the blind construction also easily causes the extensive development of the marine ranch, thereby causing the waste of resources occupying the sea and the sea area in other industries.
Currently, in order to enhance the supervision of marine ranches, standardize and guide the continuous healthy development of marine ranches, the annual evaluation work of marine ranches is carried out continuously in various places of China, and the evaluation of marine ranches is mainly carried out by taking annual evaluation and recovery (trial) of demonstration areas of national-level marine ranches, which are issued in 2018 by the agricultural rural areas. In recent years, with the gradual perfection of a marine ranching monitoring system, the number of monitoring indexes is more and more, all monitoring data are more and more complete and accurate, in the past, single indexes are graded and scored, and then adjustment is carried out to gather sea utilization, and due to the fact that the number of the indexes is increased and the internal relation among the indexes is neglected by the original method, scientific rationality is lacked, and therefore reasonable planning and management of sea utilization for marine industry construction are difficult.
In order to make the sea level prediction for intensive marine ranching more objective, reasonable and accurate, a marine ranching intensive sea-using adjustment method based on objective data needs to be designed.
Disclosure of Invention
The invention aims to provide a method and a system for adjusting intensive sea use of a marine ranch so as to realize reasonable planning and management of sea use for marine industry construction.
In order to achieve the above object, the present invention provides a method for regulating the sea for intensive marine ranching, the method comprising:
step S1: acquiring intensive data corresponding to a plurality of marine ranches; the intensive data comprises input indexes and output indexes;
step S2: extracting principal components from the input index and the output index respectively by adopting a principal component analysis method to obtain the principal component values of the input index and the output index;
step S3: respectively carrying out standardization processing on the principal component values of the input indexes and the principal component values of the output indexes by using a maximum value standardization method to obtain a first parameter and a second parameter; the first parameter is the main component value of the processed input index, and the second parameter is the main component value of the processed output index;
step S4: calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch;
step S5: acquiring the proportion of staff occupied by the fishermen to be absorbed and settled and the area proportion of the area for putting in the artificial fish reef, taking the proportion of staff occupied by the fishermen to be absorbed and settled as a third parameter, and taking the area proportion of the area for putting in the artificial fish reef as a fourth parameter;
step S6: substituting the efficiency value, the third parameter and the fourth parameter of each marine ranch into a Tobit model, and estimating by adopting a maximum likelihood method to obtain a regression coefficient corresponding to each variable;
step S7: and adjusting the intensive seawater level of each marine ranch based on the regression coefficient corresponding to each variable.
Optionally, the step S4 specifically includes:
step S41: calculating an optimal weight set of input indexes and an optimal weight set of output indexes by using a CCR model;
step S42: and determining the efficiency value of each marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes.
Optionally, the step S42 specifically includes:
calculating a cross efficiency evaluation value of the jth marine ranch under the optimal weight evaluation standard of the d-th marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes; wherein j is more than or equal to 1 and less than or equal to n, d is more than or equal to 1 and less than or equal to n, j is not equal to d, and n is the total number of the marine ranches;
forming a cross evaluation matrix according to the cross evaluation efficiency values;
and calculating the efficiency value of each marine ranch according to the cross evaluation matrix.
Optionally, the normalizing the principal component values of the input index and the principal component values of the output index by using a maximum value normalizing method respectively to obtain a first parameter and a second parameter, where a specific formula is as follows:
wherein: f'ij (investment)Represents a first parameter, wherein the first parameter is a primary component value, F ', of the processed input index'ij (output)Representing a second parameter being a primary component value of the processed yield indicator, Fij (investment)And Fij (output)The input index and the output index before processing are respectively expressed by the primary component value of the input index and the primary component value of the output index.
The invention discloses an intensive sea adjustment system for a marine ranch, which comprises:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring intensive data corresponding to a plurality of marine ranches; the intensive data comprises input indexes and output indexes;
the extraction module is used for extracting main components from the input index and the output index respectively by adopting a main component analysis method to obtain a main component value of the input index and a main component value of the output index;
the standardization processing module is used for respectively carrying out standardization processing on the principal component values of the input indexes and the principal component values of the output indexes by using a maximum value standardization method to obtain a first parameter and a second parameter; the first parameter is the main component value of the processed input index, and the second parameter is the main component value of the processed output index;
the efficiency value calculation module is used for calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch;
the second acquisition module is used for acquiring the proportion of staff occupied by the fishermen for taking up and placing and the area proportion of the area for putting in the artificial fish reef, taking the proportion of staff occupied by the fishermen for taking up and placing as a third parameter, and taking the area proportion of the area for putting in the artificial fish reef as a fourth parameter;
the estimation module is used for substituting the efficiency value, the third parameter and the fourth parameter of each marine ranch into a Tobit model, estimating by adopting a maximum likelihood method and obtaining a regression coefficient corresponding to each variable;
and the adjusting module is used for adjusting the level of the intensive seawater for each marine ranch based on the regression coefficient corresponding to each variable.
Optionally, the efficiency calculation module specifically includes:
the optimal weight set determining unit is used for calculating an optimal weight set of input indexes and an optimal weight set of output indexes by applying a CCR model;
and the efficiency value determining unit is used for determining the efficiency value of each marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes.
Optionally, the efficiency determining unit specifically includes:
the crossing efficiency evaluation value determining subunit is used for calculating a crossing efficiency evaluation value of the jth marine ranch under the optimal weight evaluation standard of the d-th marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes; wherein j is more than or equal to 1 and less than or equal to n, d is more than or equal to 1 and less than or equal to n, j is not equal to d, and n is the total number of the marine ranches;
the cross evaluation matrix determining subunit is used for forming a cross evaluation matrix according to each cross evaluation efficiency value;
and the efficiency value determining subunit is used for calculating the efficiency values of the marine ranches according to the cross evaluation matrix.
Optionally, the normalizing the principal component values of the input index and the principal component values of the output index by using a maximum value normalizing method respectively to obtain a first parameter and a second parameter, where a specific formula is as follows:
wherein: f'ij (investment)Represents a first parameter, wherein the first parameter is a primary component value, F ', of the processed input index'ij (output)Representing a second parameter being a primary component value of the processed yield indicator, Fij (investment)And Fij (output)The input index and the output index before processing are respectively expressed by the primary component value of the input index and the primary component value of the output index.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention discloses a method and a system for adjusting intensive sea use in a marine ranching, which comprises the steps of firstly, extracting main components from input indexes and output indexes respectively by adopting a main component analysis method; secondly, respectively carrying out standardization treatment on the principal component values of the input index and the principal component values of the output index by using a maximum standardization method to obtain a first parameter and a second parameter; calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch; then substituting the efficiency value, the third parameter and the fourth parameter of each marine ranch into a Tobit model, and estimating by adopting a maximum likelihood method to obtain a regression coefficient corresponding to each variable; and finally, adjusting the intensive sea level of each marine ranch based on the regression coefficient corresponding to each variable, thereby improving the overall intensive property of the marine ranch sea and realizing reasonable planning and management of the marine industry construction sea.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of the method for adjusting the intensive sea of a marine ranch according to the present invention;
fig. 2 is a structural view of the intensive sea adjustment system for marine ranch of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method and a system for adjusting intensive sea use of a marine ranch so as to realize reasonable planning and management of sea use for marine industry construction.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, the invention discloses a method for adjusting intensive sea utilization in a marine ranch, which is characterized by comprising the following steps:
step S1: acquiring intensive data corresponding to a plurality of marine ranches.
Step S2: and extracting principal components from the input index and the output index respectively by adopting a principal component analysis method to obtain the principal component values of the input index and the output index.
Step S3: respectively carrying out standardization processing on the principal component values of the input indexes and the principal component values of the output indexes by using a maximum value standardization method to obtain a first parameter and a second parameter; the first parameter is a main component value of the processed input index, and the second parameter is a main component value of the processed output index.
Step S4: and calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch.
Step S5: acquiring the proportion of staff occupying fishermen and the area proportion of the area occupying area of the released artificial fish reef, taking the proportion of staff occupying fishermen and the area occupying area of the released artificial fish reef as a third parameter, and taking the proportion of staff occupying area of the released artificial fish reef as a fourth parameter.
Step S6: substituting the efficiency value, the third parameter and the fourth parameter of each marine ranch into a Tobit model, and estimating by adopting a maximum likelihood method to obtain a regression coefficient corresponding to each variable.
Step S7: and adjusting the intensive seawater level of each marine ranch based on the regression coefficient corresponding to each variable.
The individual steps are discussed in detail below:
step S1: acquiring intensive data corresponding to a plurality of marine ranches; the intensive data comprises input indexes and output indexes; the investment indexes comprise pasture area, government subsidies, sea area gold, reef throwing quantity, annual construction fund and labor investment; the yield indicator comprises: breeding income, leisure tourism income, fishery resource recovery and marine environment quality improvement. The specific intensive data for the marine ranch is detailed in table 1.
TABLE 1 intensive data sheet corresponding to marine ranch
Step S2: and extracting principal components from the input index and the output index respectively by adopting a principal component analysis method to obtain the principal component values of the input index and the output index.
Step S3: respectively carrying out standardization processing on the principal component values of the input indexes and the principal component values of the output indexes by using a maximum value standardization method to obtain first parameters and second parameters, wherein the concrete formula is as follows:
wherein: f'ij (investment)Represents a first parameter, wherein the first parameter is a primary component value, F ', of the processed input index'ij (output)Representing a second parameter being a primary component value of the processed yield indicator, Fij (investment)And Fij (output)The input index and the output index before processing are respectively expressed by the primary component value of the input index and the primary component value of the output index.
Step S4: and calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch, and sequencing according to the efficiency values. Relative efficiency value eiBetween 0 and 1 as shown in table 2.
TABLE 2 efficiency value Table corresponding to the marine ranch
The DEA cross efficiency evaluation model can be specifically subdivided into two calculation steps (the actual operation process can be calculated in a programmed manner):
step S41: and calculating the optimal weight set of the input indexes and the optimal weight set of the output indexes by using a CCR model.
Is provided with a DMUjThe input index and output index (referring to the jth marine ranch) can be expressed as:
wherein, XjDenotes an input index, Y, of the jth marine ranchjRepresenting the yield index, x, of the jth marine ranchmjIndicates the m index, y, of the input indexes corresponding to the j-th marine ranchsjAnd the s index in the output indexes corresponding to the j marine ranch is represented, and n represents the total number of the marine ranches.
Solving the linear programming equation set by matlab programming can obtain the DMU of the d-th marine ranchdOptimal weight ω for each input and output index* 1d,ω* 2d,…,ω* md,μ* 1d,μ* 2d,…,μ* sd。
The efficiency evaluation was performed on the d (d ═ 1,2, …, n) th marine ranch using the following fractional programming model:
wherein: omega1d,ω2d,…,ωmd,μ1d,μ2d,…,μsdThe relative weights, μ, representing respectively the D-th pasture input and outputrdIndicating the output index yrdWeight of (a), yrdDenotes the r-th yield index, h, of the d-th marine ranchdRepresents the optimal efficiency value omega of the d-th marine ranch under the traditional CCR modelidIndicates an input index xidWeight of (1), xidIndicates the i-th investment index, h, representing the d-th marine ranchjEfficiency value, y, representing the jth marine ranchrjRepresents the r-th yield index, x, of the jth marine ranchijThe method is characterized by comprising the following steps of representing the ith input index of the jth marine ranch, representing the number of the input indexes of the marine ranch by m, and representing the number of the output indexes of the marine ranch by s.
Step S42: determining the efficiency value of each marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes, and specifically comprising the following steps:
1) calculating a cross efficiency evaluation value of the jth marine ranch under the optimal weight evaluation standard of the d-th marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes, wherein the specific formula is as follows:
wherein the content of the first and second substances,
is the optimal weight, y, of the nth output index of the d-th marine ranchrjFor the nth yield indicator of the jth marine ranch,
the optimal weight, x, of the ith investment index for the d-th marine ranchrjAn r-th input index for the jth marine ranch, EdjAnd the cross evaluation efficiency value of the jth marine ranch under the optimal weight evaluation standard of the d-th marine ranch is represented.
2) Forming a cross evaluation matrix according to the cross evaluation efficiency values, wherein the specific formula is as follows:
wherein E represents a cross-evaluation matrix, EdjAnd the cross evaluation efficiency value of the jth marine ranch under the optimal weight evaluation standard of the d-th marine ranch is represented, and n represents the total number of the marine ranches.
3) Calculating the efficiency value of the ith marine ranch according to the cross evaluation matrix, wherein the specific formula is as follows:
wherein: ekiFor the cross evaluation efficiency value of the ith marine ranch under the k-th marine ranch optimal weight evaluation criterion,eifor the efficiency value of the ith marine ranch, n represents the total number of marine ranches.
The ith marine ranch DMUiCan be selected from eiMeasurement, eiLarger indicates DMUiThe better.
Step S5: acquiring the proportion of staff occupying fishermen and the area proportion of the area occupying area of the released artificial fish reef, taking the proportion of staff occupying fishermen and the area occupying area of the released artificial fish reef as a third parameter, and taking the proportion of staff occupying area of the released artificial fish reef as a fourth parameter.
Step S6: substituting the efficiency value, the third parameter and the fourth parameter of each marine ranch into a Tobit model, and estimating by adopting a maximum likelihood method to obtain a regression coefficient corresponding to each variable.
The Tobit model is embodied as follows:
wherein the content of the first and second substances,
denotes an intermediate parameter, eiThe efficiency value of the ith marine ranch is represented, X represents the proportion of staff for absorbing and arranging fishermen, T represents the area ratio of the area for putting the artificial fish reef, and beta represents the ratio of the area for putting the artificial fish reefkExpressing the regression coefficient corresponding to the kth variable, and the error term εiIndependent and normal distribution obeyed: epsiloni～N(0,σ2)。
The regression coefficient is estimated by the maximum likelihood method to obtain the regression coefficient beta required by the invention1And beta2。
Step S7: and adjusting the intensive seawater level of each marine ranch based on the regression coefficient corresponding to each variable.
When the regression coefficient is positive, the variable has positive influence on the pasture efficiency value, namely when the variable value is increased, the efficiency value of the marine pasture is increased along with the variable value, and further the intensive seawater level of each marine pasture is improved; conversely, when the regression coefficient is negative, the variable has a negative effect on pasture efficiency, i.e., when the variable value is decreased, the efficiency value of the pasture is increased, thereby increasing the intensive seawater level for each marine pasture.
Step S7 specifically includes: and adjusting the intensive seawater level of each marine ranch below a set threshold value according to the regression coefficient corresponding to each variable. Specifically, the set threshold of the present invention is set to 30%, i.e., each marine ranch below the set threshold is actually each marine ranch with an efficiency value of the latter 30%. Adjusting each marine ranch lower than a set threshold value according to a regression coefficient corresponding to each variable, and specifically comprising the following steps: the index value with the positive regression coefficient is increased, and the index value with the negative regression coefficient is reduced at the same time, so that the pasture efficiency value tends to be excellent, the overall integration of the sea for the marine pasture is improved, and the reasonable planning and management of the sea for marine industry construction are realized.
Compared with the prior art, the invention has the following advantages:
the invention designs 10 indexes in total and sets up corresponding index values, and compared with the indexes in the prior patents, the indexes have wider coverage, cover a plurality of aspects such as economy, ecology and the like, and enable the evaluation result to be more objective and reasonable.
And secondly, the evaluation index system is suitable for adjusting different functional types of marine ranches in national level and provincial level. The method can be applied to the establishment of the unified marine ranch construction standard.
Thirdly, the evaluation result according to the evaluation index system can be used as an important basis for improving the intensive use of the current marine ranch, and can be applied to compilation works such as marine use demonstration reports and other marine related legal documents for projects. The application of the indexes is beneficial to improving the intensive utilization level of the sea area, greatly improves the sea area management capability, and can realize institutionalization, quantification and initiative on the management of the sea area for the project.
As shown in fig. 2, the present invention also provides a sea adjustment system for intensive marine ranching, which is characterized in that the system comprises:
a first obtaining module 201, configured to obtain intensive data corresponding to a plurality of marine ranches; the intensive data includes input metrics and output metrics.
An extracting module 202, configured to extract principal components from the input index and the output index respectively by using a principal component analysis method, so as to obtain a principal component value of the input index and a principal component value of the output index.
The standardization processing module 203 is configured to respectively standardize the principal component values of the input index and the principal component values of the output index by using a maximum standardization method to obtain a first parameter and a second parameter; the first parameter is a main component value of the processed input index, and the second parameter is a main component value of the processed output index.
And the efficiency value calculating module 204 is used for calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch.
And the second acquisition module 205 is used for acquiring the proportion of the staff occupied by the fishermen and the area proportion of the area of the released artificial fish reef, taking the proportion of the staff occupied by the fishermen as a third parameter, and taking the area proportion of the area of the released artificial fish reef as a fourth parameter.
And the estimation module 206 is configured to substitute the efficiency values, the third parameters, and the fourth parameters of each marine ranch into the Tobit model, and estimate by using a maximum likelihood method to obtain regression coefficients corresponding to each variable.
And the adjusting module 207 is used for adjusting the level of the intensive seawater for each marine ranch based on the regression coefficient corresponding to each variable.
As an embodiment, the efficiency value calculation module of the present invention specifically includes:
and the optimal weight set determining unit is used for calculating the optimal weight set of the input indexes and the optimal weight set of the output indexes by applying a CCR model.
And the efficiency value determining unit is used for determining the efficiency value of each marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes.
As an embodiment, the efficiency value determining unit of the present invention specifically includes:
the crossing efficiency evaluation value determining subunit is used for calculating a crossing efficiency evaluation value of the jth marine ranch under the optimal weight evaluation standard of the d-th marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes; wherein j is more than or equal to 1 and less than or equal to n, d is more than or equal to 1 and less than or equal to n, j is not equal to d, and n is the total number of the marine ranches.
And the cross evaluation matrix determining subunit is used for forming a cross evaluation matrix according to each cross evaluation efficiency value.
And the efficiency value determining subunit is used for calculating the efficiency values of the marine ranches according to the cross evaluation matrix.
As an embodiment, the method of normalizing the maximum value according to the present invention obtains a first parameter and a second parameter by normalizing the principal component value of the input index and the principal component value of the output index respectively by using a maximum value normalization method, and the specific formula is as follows:
wherein: f'ij (investment)Represents a first parameter, wherein the first parameter is a primary component value, F ', of the processed input index'ij (output)Representing a second parameter being a primary component value of the processed yield indicator, Fij (investment)And Fij (output)The input index and the output index before processing are respectively expressed by the primary component value of the input index and the primary component value of the output index.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (8)
1. A method for sea-conditioning an intensive marine ranch, the method comprising:
step S1: acquiring intensive data corresponding to a plurality of marine ranches; the intensive data comprises input indexes and output indexes;
step S2: extracting principal components from the input index and the output index respectively by adopting a principal component analysis method to obtain the principal component values of the input index and the output index;
step S3: respectively carrying out standardization processing on the principal component values of the input indexes and the principal component values of the output indexes by using a maximum value standardization method to obtain a first parameter and a second parameter; the first parameter is the main component value of the processed input index, and the second parameter is the main component value of the processed output index;
step S4: calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch;
step S5: acquiring the proportion of staff occupied by the fishermen to be absorbed and settled and the area proportion of the area for putting in the artificial fish reef, taking the proportion of staff occupied by the fishermen to be absorbed and settled as a third parameter, and taking the area proportion of the area for putting in the artificial fish reef as a fourth parameter;
step S6: substituting the efficiency value, the third parameter and the fourth parameter of each marine ranch into a Tobit model, and estimating by adopting a maximum likelihood method to obtain a regression coefficient corresponding to each variable;
step S7: and adjusting the intensive seawater level of each marine ranch based on the regression coefficient corresponding to each variable.
2. The marine ranching intensive sea adjustment method of claim 1, wherein the step S4 specifically includes:
step S41: calculating an optimal weight set of input indexes and an optimal weight set of output indexes by using a CCR model;
step S42: and determining the efficiency value of each marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes.
3. The marine ranching intensive sea adjustment method of claim 2, wherein the step S42 specifically includes:
calculating a cross efficiency evaluation value of the jth marine ranch under the optimal weight evaluation standard of the d-th marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes; wherein j is more than or equal to 1 and less than or equal to n, d is more than or equal to 1 and less than or equal to n, j is not equal to d, and n is the total number of the marine ranches;
forming a cross evaluation matrix according to the cross evaluation efficiency values;
and calculating the efficiency value of each marine ranch according to the cross evaluation matrix.
4. The method according to claim 1, wherein the method for adjusting sea for intensive marine ranching of marine ranching comprises normalizing the principal component values of the input index and the output index by a maximum normalization method to obtain a first parameter and a second parameter, wherein the formula is as follows:
wherein: f'ij (investment)Represents a first parameter, wherein the first parameter is a primary component value, F ', of the processed input index'ij (output)Representing a second parameter being a primary component value of the processed yield indicator, Fij (investment)And Fij (output)The input index and the output index before processing are respectively expressed by the primary component value of the input index and the primary component value of the output index.
5. A marine conditioning system for intensive use in a marine ranch, said system comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring intensive data corresponding to a plurality of marine ranches; the intensive data comprises input indexes and output indexes;
the extraction module is used for extracting main components from the input index and the output index respectively by adopting a main component analysis method to obtain a main component value of the input index and a main component value of the output index;
the standardization processing module is used for respectively carrying out standardization processing on the principal component values of the input indexes and the principal component values of the output indexes by using a maximum value standardization method to obtain a first parameter and a second parameter; the first parameter is the main component value of the processed input index, and the second parameter is the main component value of the processed output index;
the efficiency value calculation module is used for calculating the efficiency value of each marine ranch by adopting a DEA cross efficiency evaluation model based on the first parameter and the second parameter corresponding to each marine ranch;
the second acquisition module is used for acquiring the proportion of staff occupied by the fishermen for taking up and placing and the area proportion of the area for putting in the artificial fish reef, taking the proportion of staff occupied by the fishermen for taking up and placing as a third parameter, and taking the area proportion of the area for putting in the artificial fish reef as a fourth parameter;
the estimation module is used for substituting the efficiency value, the third parameter and the fourth parameter of each marine ranch into a Tobit model, estimating by adopting a maximum likelihood method and obtaining a regression coefficient corresponding to each variable;
and the adjusting module is used for adjusting the level of the intensive seawater for each marine ranch based on the regression coefficient corresponding to each variable.
6. The marine farm intensive sea adjustment system of claim 5, wherein the efficiency value calculation module specifically comprises:
the optimal weight set determining unit is used for calculating an optimal weight set of input indexes and an optimal weight set of output indexes by applying a CCR model;
and the efficiency value determining unit is used for determining the efficiency value of each marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes.
7. The marine farm intensive sea adjustment system of claim 6, wherein the efficiency rate determination unit specifically comprises:
the crossing efficiency evaluation value determining subunit is used for calculating a crossing efficiency evaluation value of the jth marine ranch under the optimal weight evaluation standard of the d-th marine ranch according to the optimal weight set of the input indexes and the optimal weight set of the output indexes; wherein j is more than or equal to 1 and less than or equal to n, d is more than or equal to 1 and less than or equal to n, j is not equal to d, and n is the total number of the marine ranches;
the cross evaluation matrix determining subunit is used for forming a cross evaluation matrix according to each cross evaluation efficiency value;
and the efficiency value determining subunit is used for calculating the efficiency values of the marine ranches according to the cross evaluation matrix.
8. The system according to claim 5, wherein the standardization of the principal component values of the input index and the principal component values of the output index by using a maximum standardization method obtains a first parameter and a second parameter, and the formula is as follows:
wherein: f'ij (investment)Represents a first parameter, wherein the first parameter is a primary component value, F ', of the processed input index'ij (output)Representing a second parameter being a primary component value of the processed yield indicator, Fij (investment)And Fij (output)The input index and the output index before processing are respectively expressed by the primary component value of the input index and the primary component value of the output index.
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