阅读说明：本技术 交通运输电子证照生成效率确定方法和装置 (Method and device for determining generation efficiency of electronic license of transportation ) 是由 李琳琳 许济沧 章稷修 孙乐 徐志远 徐洪磊 梁粤 周国强 李柏丹 艾雨豪 于 2021-08-13 设计创作，主要内容包括：本发明涉及一种交通运输电子证照生成效率确定方法和装置,通过获取电子证照发放历史数据并对历史数据进行预处理得到电子证照相关数据；基于预设投入指标和预设产出指标对电子证照相关数据进行量化,以得到电子证照相关指标；基于电子证照相关指标构建测定效率框架；基于预设电子证照效率模型和测定效率框架中的投入指标和产出指标确定电子证照生成效率。克服了以往测定指标主观性强,指标选取困难等问题能够进行更加全面可靠的效率评测。(The invention relates to a method and a device for determining the generation efficiency of a transportation electronic license.A historical data is issued by acquiring the electronic license and the historical data is preprocessed to obtain the relevant data of the electronic license; quantifying the electronic license related data based on the preset input index and the preset output index to obtain the electronic license related index; constructing a determination efficiency frame based on the relevant indexes of the electronic license; and determining the generation efficiency of the electronic license based on the input index and the output index in the preset electronic license efficiency model and the measurement efficiency frame. The problems of strong subjectivity of the conventional measured indexes, difficulty in selecting the indexes and the like are solved, and more comprehensive and reliable efficiency evaluation can be performed.)

1. A method for determining the generation efficiency of a transportation electronic license is characterized by comprising the following steps:

acquiring historical data of electronic certificate issuing and preprocessing the historical data to obtain electronic certificate related data;

quantifying the electronic license related data based on a preset input index and a preset output index to obtain an electronic license related index;

constructing a measuring efficiency frame based on the relevant indexes of the electronic license;

and determining the generation efficiency of the electronic license based on a preset electronic license efficiency model and the input index and the output index in the measurement efficiency frame.

2. The method for determining the generation efficiency of the transportation electronic license according to claim 1, further comprising:

and determining the technical efficiency change rate and the technical progress change rate of the electronic license based on a preset electronic license index model and the input-output index and the output index in the measurement efficiency frame.

3. The method for determining the generation efficiency of the transportation electronic certificate as claimed in claim 1, wherein the step of obtaining the historical data of the electronic certificate issuance comprises the steps of:

and acquiring at least the electronic license issuing historical data including the name, the attribution, the license level, the license type, the reviewer and the issuing expiration date of the license issuing enterprise.

4. The method for determining the generation efficiency of the transportation electronic license according to claim 3, wherein the step of preprocessing the historical data to obtain the relevant data of the electronic license further comprises the steps of:

and performing characteristic preprocessing at least including repeated value deletion, abnormal value deletion and missing value supplement on the historical data of the electronic certificate issuance to obtain the related data of the electronic certificate.

5. The method for determining the generation efficiency of the transportation electronic certificate as claimed in claim 1, wherein the preset investment index includes the operation number of a reviewer, the operation allocation of the reviewer and the depreciation of fixed assets;

the preset output indexes comprise a newly added electronic license composite index, a changed electronic license composite index, an annual audit electronic license composite index and index generation efficiency.

6. The method for determining the generation efficiency of the transportation electronic license according to claim 1, wherein the quantifying the electronic license-related data based on a preset input index and a preset output index to obtain the electronic license-related index comprises:

respectively calculating a newly added electronic license composite index, a changed electronic license composite index, an annual audit electronic license composite index and index generation efficiency based on O1, O2, O3 and O4, wherein:

O1＝α₁₁λ₁+α₁₂λ₂+α₁₃λ₃

O2＝α₂₁λ₁+α₂₂λ₂+α₂₃λ₃

O3＝α₃₁λ₁+α₃₂λ₂+α₃₃λ₃

O4＝x₁O₁+x₂O₂+x₃O₃

wherein O1 is a new electronic certificate composite index, O2 is a changed electronic certificate composite index, O3 is an annual review electronic certificate composite index, and O4 is an indexEfficiency of formation, α_ijQuantizing the coefficients for each index difficulty; lambda [ alpha ]_iIs the statistics of each index; x is the number of_iAre weights.

7. The method for determining the generation efficiency of the transportation electronic license according to claim 1, wherein the constructing a measurement efficiency framework based on the relevant indexes of the electronic license comprises:

performing matrix rotation on the electronic license correlation index based on factor analysis to obtain a component factor matrix, and grading the component factor matrix to obtain a correlation characteristic vector of the measurement efficiency frame;

and constructing the measuring efficiency framework based on indexes corresponding to the related feature vectors.

8. The method for determining the generation efficiency of the transportation electronic license according to claim 1, wherein the determining the generation efficiency of the electronic license based on the input index and the output index in the preset electronic license efficiency model and the measurement efficiency frame comprises:

electronic license efficiency measurements were performed based on the following formula:

s.t.ωx_j-μ^Ty_j≥0,j＝1,...,n

ω^Tx₀＝1

ω≥0,μ≥0

wherein x and y represent a preset input index and a preset output index respectively; s.t is the correlation coefficient, ω is the relaxation variable; omega^TTransposing a relaxation variable; mu.s^TIs an index weight;is an output vector;

when ω is^*＞0,μ^*Is greater than 0, andthe efficiency value of the model can be obtained while the model is effective.

9. The method for determining the generation efficiency of the transportation electronic license according to claim 2, wherein determining the technical efficiency change rate and the technical progress change rate of the electronic license based on a preset electronic license index model and the input-output index and the output index in the measurement efficiency frame comprises:

calculating the change rate based on a Malmquist index model:

wherein D is^t(x_t,y_t) As a function of distance during t, x_tTo preset the input index, y_tFor the preset output index, Techch is the change rate of technical efficiency, and Effch is the change rate of technical progress.

10. The utility model provides a transportation electron license generation efficiency determining means which characterized in that includes:

the preprocessing module is used for acquiring historical data of electronic certificate issuing and preprocessing the historical data to obtain electronic certificate related data;

the index quantization module is used for quantizing the electronic license related data based on a preset input index and a preset output index to obtain an electronic license related index;

the efficiency frame module is used for constructing a measurement efficiency frame based on the electronic license related indexes; and

and the generation efficiency evaluation module is used for determining the generation efficiency of the electronic license based on a preset electronic license efficiency model and the input index and the output index in the measurement efficiency frame.

Technical Field

The invention belongs to the technical field of transportation information management, and particularly relates to a method and a device for determining the generation efficiency of a transportation electronic license.

Background

With the continuous popularization of the concept of 'internet + government affair service' in the transportation field, the transportation safety production standardized management system falls to the ground, and the transportation electronic certificate becomes the important content of the government affair service and is also the information resource which is mainly invested in construction in the finance of the transportation department. The traffic electronic certificate has the application and management characteristics of centralized and unified management, authenticity guarantee and normative utilization, and is representative in the research of information resource generation efficiency. A measuring framework of information resource generating efficiency is constructed, and the generating efficiency is measured by taking an electronic certificate of a transportation safety production standardized management system which is comprehensively constructed by a transportation department as an example, so that the method has important significance for improving and optimizing the information resource efficiency measurement.

Most of the existing methods for evaluating the generation efficiency of the traffic electronic license cannot carry out quantitative evaluation, and the single measuring method cannot carry out more comprehensive and reliable evaluation.

Disclosure of Invention

In order to solve the problem that the prior art has a single determination method and cannot perform more comprehensive and reliable evaluation, the invention provides a method and a device for determining the generation efficiency of a transportation electronic certificate, which have the characteristics of scientificity, reasonability, objectivity, quantifiability, wider applicability and the like.

According to the specific implementation mode of the invention, the method for determining the generation efficiency of the transportation electronic license is characterized by comprising the following steps:

acquiring historical data of electronic certificate issuing and preprocessing the historical data to obtain electronic certificate related data;

quantifying the electronic license related data based on a preset input index and a preset output index to obtain an electronic license related index;

constructing a measuring efficiency frame based on the relevant indexes of the electronic license;

and determining the generation efficiency of the electronic license based on a preset electronic license efficiency model and the input index and the output index in the measurement efficiency frame.

Further, the method for determining the generation efficiency of the transportation electronic license further comprises the following steps:

and determining the technical efficiency change rate and the technical progress change rate of the electronic license based on a preset electronic license index model and the input-output index and the output index in the measurement efficiency frame.

Further, the acquiring the historical data of the electronic certificate issuance includes:

and acquiring at least the electronic license issuing historical data including the name, the attribution, the license level, the license type, the reviewer and the issuing expiration date of the license issuing enterprise.

Further, the step of preprocessing the historical data to obtain the electronic license related data further comprises:

and performing characteristic preprocessing at least including repeated value deletion, abnormal value deletion and missing value supplement on the historical data of the electronic certificate issuance to obtain the related data of the electronic certificate.

Further, the preset input indexes comprise operation numbers of reviewers, operation allocation of the reviewers and depreciation of fixed assets;

the preset output indexes comprise a newly added electronic license composite index, a changed electronic license composite index, an annual audit electronic license composite index and index generation efficiency.

Further, the quantifying the electronic license related data based on the preset input index and the preset output index to obtain the electronic license related index comprises:

respectively calculating a newly added electronic license composite index, a changed electronic license composite index, an annual audit electronic license composite index and index generation efficiency based on O1, O2, O3 and O4, wherein:

O1＝α₁₁λ₁+α₁₂λ₂+α₁₃λ₃

O2＝α₂₁λ₁+α₂₂λ₂+α₂₃λ₃

O3＝α₃₁λ₁+α₃₂λ₂+α₃₃λ₃

O4＝x₁O₁+x₂O₂+x₃O₃

wherein, O1 is a new electronic certificate composite index, O2 is a changed electronic certificate composite index, O3 is an annual review electronic certificate composite index, O4 is index generation efficiency, alpha_ijQuantizing the coefficients for each index difficulty; lambda [ alpha ]_iIs the statistics of each index; x is the number of_iAre weights.

Further, the constructing a determination efficiency framework based on the relevant indexes of the electronic license comprises:

performing matrix rotation on the electronic license correlation index based on factor analysis to obtain a component factor matrix, and grading the component factor matrix to obtain a correlation characteristic vector of the measurement efficiency frame;

and constructing the measuring efficiency framework based on indexes corresponding to the related feature vectors.

Further, the determining the generation efficiency of the electronic license based on the preset electronic license efficiency model and the input index and the output index in the measurement efficiency frame comprises:

electronic license efficiency measurements were performed based on the following formula:

s.t.ωx_j-μ^Ty_j≥0,j＝1,...,n

ω^Tx₀＝1

ω≥0,μ≥0

wherein x and y represent a preset input index and a preset output index respectively; s.t is the correlation coefficient, ω is the relaxation variable; omega^TTransposing a relaxation variable; mu.s^TIs an index weight;is an output vector;

when ω is^*＞0,μ^*Is greater than 0, andthe efficiency value of the model can be obtained while the model is effective.

Further, determining the technical efficiency change rate and the technical progress change rate of the electronic license based on a preset electronic license index model and the input-output index and the output index in the measurement efficiency frame comprises:

calculating the change rate based on a Malmquist index model:

wherein D is^t(x_t,y_t) As a function of distance during t, x_tTo preset the input index, y_tFor the preset output index, Techch is the change rate of technical efficiency, and Effch is the change rate of technical progress.

The invention provides a traffic transportation electronic license generation efficiency determination device, which comprises:

the preprocessing module is used for acquiring historical data of electronic certificate issuing and preprocessing the historical data to obtain electronic certificate related data;

the index quantization module is used for quantizing the electronic license related data based on a preset input index and a preset output index to obtain an electronic license related index;

the efficiency frame module is used for constructing a measurement efficiency frame based on the electronic license related indexes; and

and the generation efficiency evaluation module is used for determining the generation efficiency of the electronic license based on a preset electronic license efficiency model and the input index and the output index in the measurement efficiency frame.

The invention has the beneficial effects that: obtaining electronic certificate issuing historical data and preprocessing the historical data to obtain electronic certificate related data; quantifying the electronic license related data based on the preset input index and the preset output index to obtain the electronic license related index; constructing a determination efficiency frame based on the relevant indexes of the electronic license; and determining the generation efficiency of the electronic license based on the input index and the output index in the preset electronic license efficiency model and the measurement efficiency frame. The problems of strong subjectivity of the conventional measured indexes, difficulty in selecting the indexes and the like are solved, and more comprehensive and reliable efficiency evaluation can be performed.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a flow chart of a transportation electronic license generation efficiency determination method provided in accordance with an exemplary embodiment;

FIG. 2 is another flow chart of a transportation electronic license generation efficiency determination method provided in accordance with an exemplary embodiment;

FIG. 3 is a block diagram of an efficiency determination framework for electronic license plate for transportation provided in accordance with an exemplary embodiment;

FIG. 4 is an electronic license efficiency area diagram for transportation provided in accordance with an exemplary embodiment;

fig. 5 is a schematic diagram of a transportation electronic license generation efficiency determination apparatus provided according to an exemplary embodiment.

Reference numerals

1-a pre-processing module; 2-index quantization module; 3-an efficiency frame module; 4-generation efficiency evaluation module.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.

Referring to fig. 1, an embodiment of the present invention provides a method for determining a generation efficiency of a transportation electronic license, specifically including the following steps:

101. acquiring historical data of electronic certificate issuing and preprocessing the historical data to obtain electronic certificate related data;

the national transportation safety production standardization system is a system platform for applying, registering, operating and issuing electronic certificates, and nearly 20 operations from user registration to certificate exchange and verification are completed in an identification system. The electronic certificate issuing historical data of each provincial administrative unit can be obtained based on a transportation safety production standardization system. And the historical data is preprocessed, so that the data format is unified, the data quality is improved, and a foundation is made for data model processing.

102. Quantifying the electronic license related data based on the preset input index and the preset output index to obtain the electronic license related index;

because the measuring efficiency of the transportation electronic license is influenced by various factors in a typical information system which is participated by multiple interest relevant parties such as enterprises, social public and the like, the related data of the electronic license needs to be quantized by adopting a preset input index and a preset output index to obtain the related index of the electronic license, and further, the quantitative measurement and calculation of the index can be better carried out.

103. Constructing a determination efficiency frame based on the relevant indexes of the electronic license;

and constructing a traffic electronic license generation efficiency determination framework based on the division of input-process-output by combining the related indexes of the traffic electronic license with the actual situation of the traffic electronic license.

104. And determining the generation efficiency of the electronic license based on the input index and the output index in the preset electronic license efficiency model and the measurement efficiency frame.

Can be solved based on the traffic transportation electronic license super-efficiency CCR model, and is used as a decision unit (DMU)_j(j is more than or equal to 1 and less than or equal to n)) is used as an evaluation object, and the generation efficiency of the electronic license of transportation is determined by adopting a yield oriented planning method based on a CCR (Charnes, Cooper, hodes) super-efficiency model with unchanged scale yield in DEA.

Therefore, by adopting the characteristic engineering processing of data, an index quantification processing method and an integrated algorithm of an electronic license efficiency model. The electronic certificate generation efficiency of provincial administrative units can be measured. The method overcomes the problems of strong subjectivity, difficult index selection and the like of the conventional measured indexes, and has important significance for provincial administrative unit decision and management personnel to master national transportation electronic certificate situation, timely adjust input-output structures and perform regional regulation. The method has the characteristics of scientific and reasonable calculation, objectivity, quantifiability, wide applicability and the like.

As a possible implementation manner of the above embodiment, referring to fig. 2, the electronic certificate issuing history data is shown. The method comprises the following steps: certificate issuing enterprise name, home, certificate level, certificate type. The reviewers and release due dates, and the like, the variable fields are shown in the following table. And a data foundation is laid for the following step analysis:

when data preprocessing is carried out, a pandas data analysis tool in Python is used for carrying out data characteristic engineering processing such as repeated value, abnormal value deletion and missing value supplement on the acquired electronic license data of transportation, and carrying out format conversion and recoding work on fields such as provinces. Therefore, the data format is unified, the data quality is improved, and a foundation is made for data model processing.

The label of the transportation electronic certificate is a unique value, the data comparison is carried out on the field, and repeated numerical values are deleted;

acquiring the place values of 5% and 95% of each variable of the whole data set of the electronic certificate, and eliminating the obvious abnormal values according to the place values;

the variable terms with missing values are filled in with the mode of the data set.

Then the quantitative measurement and calculation of the input-output indexes of the electronic license totally comprises 3 input indexes and 4 output indexes as shown in the following table:

the input related indexes include: the operation number of a reviewer, the operation allocation of the reviewer and the depreciation of fixed assets;

the yield-related indicators include: the generation efficiency related to the indexes such as the newly added electronic certificate composite index, the changed electronic certificate composite index, the annual audit electronic certificate composite index, the composite output index and the like.

The input-output index quantification method adopts O1, O2 and O3 to respectively carry out weighting calculation indexes by inquiring annual electronic license statistics and corresponding difficulty scales; o4 is calculated by weighted summation of the indexes O1, O2 and O3, wherein:

O1＝α₁₁λ₁+α₁₂λ₂+α₁₃λ₃

O2＝α₂₁λ₁+α₂₂λ₂+α₂₃λ₃

O3＝α₃₁λ₁+α₃₂λ₂+α₃₃λ₃

O4＝x₁O₁+x₂O₂+x₃O₃

α_ijquantizing the coefficients for each index difficulty; lambda [ alpha ]_iIs the statistics of each index; x is the number of_iAre weights.

The output index is calculated by weighting indexes of data fields such as database type, provision, grade field and the like:

the reviewer operand I1 queries the reviewer operations: type, provide, grade query reviewer operation;

reviewer operation contribution I2 queries reviewer operations: type, provide, grade query auditor operate, and allocate;

fixed asset depreciation I3 double balance decreasing method (net residual rate 5% estimated, depreciation by 15 years) makes the total investment share among provinces.

And then constructing a measurement efficiency frame, and performing matrix rotation calculation on 7 indexes such as the operation number of a reviewer, the operation allocation of the reviewer, the fixed assets and the like by using a factor analysis method based on the quantized relevant indexes of the traffic electronic license, wherein the aim is to obtain a rotated component factor matrix.

In the factor analysis, the orthogonally transformed variable coefficients are the corresponding elements of the eigenvectors of the correlation matrix R, and the model variable coefficients of the factor analysis are taken from the factor load. The factor load matrix A and the correlation matrix R satisfy the following relationship:

wherein AA^TRespectively are load matrixes; lambda [ alpha ]_iAre matrix coefficients.

Then SPSS data processing analysis software can be used for carrying out factor molecules to obtain a rotation matrix corresponding to the characteristic variable. And selecting a characteristic matrix with the index of the component matrix larger than 0.6, reserving the characteristic matrix, and deleting the characteristic vector smaller than 0.6 to obtain the related characteristic vector for constructing the measuring frame.

And constructing a transportation electronic license generation efficiency determination framework which takes 'input-process-output' as a division basis as shown in figure 3 according to the reserved corresponding indexes and by combining the actual situation of the transportation electronic license.

And finally, carrying out transportation electronic license efficiency determination: and solving the traffic transport electronic license super-efficiency CCR model. In a decision unit (DMU)_j(j is more than or equal to 1 and less than or equal to n)) is used as an evaluation object, and the generation efficiency of the electronic license of transportation is determined by adopting a yield oriented planning method based on a CCR (Charnes, Cooper, hodes) super-efficiency model with unchanged scale yield in DEA. The specific calculation method is as follows:

s.t.ωx_j-μ^Ty_j≥0,j＝1,...,n

ω^Tx₀＝1

ω≥0,μ≥0

wherein x and y represent a preset input index and a preset output index respectively; s.t is the correlation coefficient, ω is the relaxation variable; omega^TTransposing a relaxation variable; mu.s^TIs an index weight;is an output vector;

when ω is^*＞0,μ^*Is greater than 0, andthe efficiency value of the model can be obtained while the model is effective. Otherwise, the model is invalid.

In order to further optimize the technical solution, in another specific embodiment of the present invention, the method for determining the generation efficiency of the transportation electronic license further includes:

and determining the technical efficiency change rate and the technical progress change rate of the electronic license based on the input-output index and the output index in the preset electronic license index model and the efficiency measurement frame.

Specifically, the solving of the traffic electronic license Malmquist index model method is to measure and calculate the input-output change rate of the traffic electronic license elements, carry out dynamic change trend measurement and calculation of the efficiency of an electronic license decision unit based on data of different years, further decompose the dynamic change trend measurement and calculation into technical efficiency change and technical progress change, further analyze and compare indexes of the traffic electronic licenses of different provincial administrative units of China in different periods and geographic areas, and the method comprises the following steps:

wherein D is^t(x_t,y_t) As a function of distance during t, x_tTo preset the input index, y_tFor the preset output index, Techch is the change rate of technical efficiency, and Effch is the change rate of technical progress.

And when the index value is larger than 1, the change trend is in an increasing type, when the index value is equal to 1, the change trend is unchanged, and when the index value is smaller than 1, the change trend is in a decreasing type.

The following will be described in further detail with reference to specific examples of efficiency evaluation:

firstly, acquiring data related to transportation electronic certificates of 31 provincial administrative districts from 2016 to 2019 from a transportation safety production standardized system database. In a Python programming environment, data characteristic engineering processing is carried out by calling a pandas data analysis tool, and data reduction, abnormal value processing and missing value filling are carried out by using a related algorithm. Finally, the related data of the transportation electronic license is obtained, and a part of data diagram is selected as shown in the following table:

then carrying out quantitative measurement and calculation on the input and output indexes of the electronic license:

calculating the newly increased number, the exchange number and the annual audit number of the electronic licenses for transportation in different levels from 2016 to 2019 in 4 years; and performing code conversion on the 31 provinces, and calculating the quantity of the electronic certificates of different levels corresponding to each province level by taking the province-level administrative regions as division bases. And then, inquiring and calculating the operation number of the personnel according to a transportation safety production standardized system database to obtain the relevant data of the transportation electronic license such as personnel investment, operation number and the like. The data results for 3 of the provinces are shown in the table below

And carrying out weighted calculation on the conformity indexes of the electronic license of the transportation. The difficulty of taking the first-level, second-level and third-level electronic certificates is respectively alpha₁₁、α₁₂、α₁₃，α₂₁、α₂₂、α₂₃And alpha₃₁、α₃₂、α₃₃The weighting calculations were performed for O1, O2, O3, and O4 as disclosed above. And then, carrying out personnel operand query calculation according to a transportation safety production standardized system database to obtain I1 and I2 through calculation. I3 was obtained by conversion by halving between provinces according to a double balance decreasing method (net residual rate 5% estimated, depreciation in 15 years).

Based on the processing process, the input and output indexes of the transportation electronic certificate can be quantized, so that the defects of strong subjectivity, difficulty in quantization and the like are overcome.

Then constructing a frame for measuring the efficiency of the transportation electronic license: and (3) quantizing the obtained related indexes of the electronic license of the transportation, and performing matrix rotation calculation on 7 indexes such as the operation number of a reviewer, the operation allocation of the reviewer, the fixed assets and the like by using a factor analysis method. Obtaining a rotated component factor matrix by using SPSS data processing software, selecting a characteristic matrix with a matrix score index larger than 0.6, and reserving the characteristic matrix; feature vectors smaller than 0.6 are deleted. The results are shown in the following table.

According to the division basis of 'input-process-output', a transportation electronic license generation efficiency determination framework is constructed, and is shown in figure 3.

Then carrying out transportation electronic license efficiency measurement: and the traffic transportation electronic license efficiency measurement adopts a super-efficiency CCR model to solve. In a decision unit (DMU)_j(j is more than or equal to 1 and less than or equal to n)) is used as an evaluation object, and the generation efficiency of the electronic license of transportation is determined by adopting a yield oriented planning method based on a CCR (Charnes, Cooper, hodes) super-efficiency model with unchanged scale yield in DEA.

And carrying out Malmquist exponential model solution on the transportation electronic certificate. And importing a transportation electronic certificate data set from 2016 to 2019 in 4 years into the model, respectively calculating the technical efficiency change and the technical progress change, and analyzing and comparing indexes of the transportation electronic certificates of different provincial administrative units in different periods and geographic areas.

Among them, Techch is the rate of change of technical efficiency, and Effch is the rate of change of technical progress.

According to the calculation method, the generation efficiency of the transportation electronic license is measured, and the generation efficiency and Malmquist index, technical efficiency and production technical change of 31 provinces of China are obtained as shown in the following table:

31 province transportation electronic license generation efficiency table

In general, the generation efficiency of the traffic electronic certificates of 31 provinces in China is 0.727307613, 0.613567976, 1.24843715 and 0.723408647 in the average value of four-year efficiency, namely the optimal output scale is realized in 2018, and the DEA effect is not achieved in other years. From the coefficient of variation, the efficiency difference between the provinces in 2018 is very obvious. For example, the efficiency value is higher in 2018 in Guangdong province, and the efficiency value in Hainan province is only 0.370686737.

Malmquist index, technical efficiency and production technology variation

Through the trend analysis of the generation efficiency of the traffic electronic license in China, the Malmquist efficiency value is reduced year by year, the EC value (catch-up effect) is increased, but the variation value of the production technology is reduced year by year, and the technology is degraded in 2019. Seven geographical areas can be divided into 3 types, "high-high" type areas, "high-low" type areas, "low-high" type areas, according to the four-year mean result of EC and TC values, according to 1 as the dividing point of EC value and 2 as the dividing point of TC value, and the result is shown in fig. 4.

Based on the same design idea, the embodiment of the invention shown in fig. 5 also provides a schematic structural diagram of a transportation electronic license generation efficiency determination device, and the device is suitable for executing the transportation electronic license generation efficiency determination method provided by the embodiment of the invention. As shown in fig. 5, the apparatus may specifically include:

the preprocessing module 1 is used for acquiring historical data of electronic certificate issuing and preprocessing the historical data to obtain related data of the electronic certificate;

the index quantization module 2 is used for quantizing the electronic license related data based on a preset input index and a preset output index to obtain an electronic license related index;

the efficiency frame module 3 is used for constructing a measurement efficiency frame based on the relevant indexes of the electronic license; and

and the generation efficiency evaluation module 4 is used for determining the generation efficiency of the electronic license based on the preset electronic license efficiency model and the input index and the output index in the measurement efficiency frame.

The device for determining the generation efficiency of the transportation electronic license provided by the embodiment of the invention can execute the method for determining the generation efficiency of the transportation electronic license provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

The embodiment of the invention also provides a storage medium, wherein a computer program is stored in the storage medium, and the computer program is at least used for executing the method for determining the generation efficiency of the transportation electronic license.

The method, the device and the storage medium for determining the generation efficiency of the transportation electronic license provided by the embodiment of the invention adopt the characteristic engineering processing of data, the index quantification processing method and the integrated algorithm based on factor analysis and the super-efficiency model. And the electronic license generation efficiency of 31 provincial administrative units is measured and calculated. The method overcomes the problems of strong subjectivity, difficult index selection and the like of the conventional measured indexes, and has important significance for provincial administrative unit decision and management personnel to master the electronic license situation of the transportation in China, timely adjust the input-output structure and perform regional regulation. The method has the characteristics of scientific and reasonable calculation, objectivity, quantifiability, wide applicability and the like.

It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.

In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.