Land value-added tax data processing method and system

Abstract

The invention discloses a land increment tax data processing method and system, relates to the technical field of data processing, and solves the problem of few application scenes of an existing land increment tax data processing method, and the method comprises the steps: S1, obtaining land circulation stage division data, an average land increment coefficient and an average land increment coefficient, the method comprises the steps of S1, obtaining regional land value-added tax data, S2, carrying out environment analysis on a target land region according to the regional land value-added tax data to obtain a regional popularity change coefficient, and S3, carrying out economic development state evaluation on the target land region according to the regional popularity change coefficient and the regional land value-added tax data. The economic development state of the target land region is evaluated according to the regional popularity change coefficient and the regional land value-added tax data, so that the utilization value of the tax data is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and system for processing land value-added tax data. Background Art

[0002] The existing land value-added tax data processing methods have the following defects in the process of tax data processing:

[0003] 1. The existing tax data processing method is simply used to determine whether there is tax evasion in the target land area, which results in a single application scenario for tax data and a waste of statistical resources;

[0004] 2. Existing tax data cannot be combined with environmental and human data to evaluate the economic development status of the target land area, resulting in low reference value of tax data for regional economic policies;

[0005] To this end, we propose a land value-added tax data processing method and system. Summary of the invention

[0006] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a land value-added tax data processing method and system. The present invention is based on respectively obtaining land transfer stage division data, average land value-added coefficient and average land value-added coefficient to obtain regional land value-added tax data, analyzes the target land area according to the regional land value-added tax data, obtains the regional heat coefficient corresponding to the target land area at each land transfer, obtains multiple regional heat coefficients, and calculates the regional heat change coefficient through multiple regional heat coefficients, analyzes the regional heat change coefficient and the regional land value-added tax data to obtain the land economic benefit evaluation coefficient, and obtains the land economic benefit evaluation coefficient threshold, performs numerical comparison between the land economic benefit evaluation coefficient and the land economic benefit evaluation coefficient threshold, and evaluates the economic development status of the target land area according to the numerical comparison result.

[0007] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: a land value-added tax data processing method, comprising the following specific steps:

[0008] Step S1: respectively obtain the land transfer stage division data, the average land appreciation coefficient and the average land appreciation coefficient to obtain the regional land appreciation tax data;

[0009] Step S2: Analyze the target land area according to the regional land value-added tax data, obtain the regional heat coefficient corresponding to the target land area at each land transfer, obtain multiple regional heat coefficients, and calculate the regional heat change coefficient through the multiple regional heat coefficients;

[0010] Step S3: Analyze the regional heat change coefficient and the regional land value-added tax data to obtain the land economic benefit evaluation coefficient and obtain the land economic benefit evaluation coefficient threshold, compare the land economic benefit evaluation coefficient with the land economic benefit evaluation coefficient threshold, and evaluate the economic development status of the target land area based on the numerical comparison results.

[0011] Furthermore, the step S1 further includes the following specific steps:

[0012] Step S11: acquiring the target land area, and performing land transfer analysis on the target land area to obtain land transfer stage division data;

[0013] Step S12: performing a value-added tax analysis on the first land transfer in the target land area, obtaining a land value-added coefficient corresponding to the first land transfer, and naming it the first land value-added coefficient;

[0014] Step S13: respectively obtaining the land appreciation coefficients corresponding to the second land transfer to the ath land transfer, and obtaining the second land appreciation coefficient to the ath land appreciation coefficient;

[0015] Step S14: Calculate the average of the first land appreciation coefficient to the ath land appreciation coefficient to obtain the average land appreciation coefficient corresponding to the target land area;

[0016] Step S15: passing the first land appreciation coefficient to the ath land appreciation coefficient through the land appreciation change coefficient corresponding to the target land area;

[0017] The specific working process of each module of the data processing system is as follows:

[0018] The tax data module is used to obtain the land transfer stage division data, the average land appreciation coefficient and the average land appreciation coefficient, and obtain the regional land appreciation tax data;

[0019] The land data module is used to analyze the human environment of the target land area based on the regional land value-added tax data and obtain the regional heat change coefficient;

[0020] The analysis and processing module is used to evaluate the economic development status of the target land area based on the regional heat change coefficient and regional land value-added tax data.

[0021] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0022] 1. The present invention analyzes the value-added tax data of the target land area to obtain the regional land value-added tax data, which can expand the application scenarios of the value-added tax data and improve the efficiency of the use of statistical resources;

[0023] 2. The present invention evaluates the economic development status of the target land area based on the regional heat change coefficient and the regional land value-added tax data, thereby improving the reference value of the tax data for regional economic policy formulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0025] Figure 1 It is a diagram of the implementation steps of the present invention;

[0026] Figure 2 is the overall system block diagram of the present invention;

[0027] Figure 3 It is a schematic plan view of the target land area in the present invention. DETAILED DESCRIPTION

[0028] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] Embodiment 1

[0030] See also Figure 1 The present invention provides a technical solution: a land value-added tax data processing method, the data processing method comprising the following specific steps:

[0031] Step S1: respectively obtain the land transfer stage division data, the average land appreciation coefficient, the average land appreciation coefficient and the cumulative number of land transfers to obtain the regional land appreciation tax data;

[0032] Step S11: acquiring the target land area, and performing land transfer analysis on the target land area to obtain land transfer stage division data;

[0033] The step S11 further includes the following specific steps:

[0034] Step S111: Acquire the cumulative number of land transfers corresponding to the target land area, and respectively acquire the value-added tax payment time value corresponding to each land transfer, to obtain multiple value-added tax payment time values;

[0035] Step S112: obtaining the time value corresponding to the current time as the reference time value, and calculating the difference between each VAT payment time value and the reference time value, to obtain multiple VAT payment time differences;

[0036] Step S113: sorting the VAT payment time differences in descending order according to the value, obtaining a VAT payment time difference sorting queue, and naming the corresponding land transfers from the first land transfer to the ath land transfer according to the VAT payment time difference sorting queue, to obtain land transfer stage division data;

[0037] Step S12: performing a value-added tax analysis on the first land transfer in the target land area, obtaining a land value-added coefficient corresponding to the first land transfer, and naming it the first land value-added coefficient;

[0038] The step S12 further includes the following specific steps:

[0039] Step S121: obtaining a price value corresponding to the target land area at the time of initial purchase to obtain a first price value, and obtaining a time value of the initial purchase to obtain a first time value;

[0040] Step S122: obtaining the land transfer price corresponding to the target land area when the first land transfer is performed to obtain a second price value, and obtaining the transfer time value corresponding to the first land transfer to obtain a second time value;

[0041] Step S123: Compare the first price value and the second price value. When the first price value is greater than or equal to the second price value, calculate the land value increment coefficient corresponding to the first land transfer by using the second price value, the first time value and the second time value.

[0042] The land value-added coefficient corresponding to the first land transfer is calculated using the following formula:

[0043]

[0044] Among them, Tzz is the land appreciation coefficient corresponding to the first land transfer, Jg2 is the second price value, Sj1 is the first time value, and Sj2 is the second time value;

[0045] Step S124: Compare the first price value and the second price value. When the first price value is smaller than the second price value, calculate the land value increment coefficient corresponding to the first land transfer by using the first price value, the second price value, the first time value and the second time value.

[0046] The land value-added coefficient corresponding to the first land transfer is calculated using the following formula:

[0047]

[0048] Among them, Tzz is the land appreciation coefficient corresponding to the first land transfer, Jg1 is the first price value, Jg2 is the second price value, Sj1 is the first time value, and Sj2 is the second time value;

[0049] Step S13: respectively obtaining the land appreciation coefficients corresponding to the second land transfer to the ath land transfer, and obtaining the second land appreciation coefficient to the ath land appreciation coefficient;

[0050] Step S14: Calculate the average of the first land appreciation coefficient to the ath land appreciation coefficient to obtain the average land appreciation coefficient corresponding to the target land area;

[0051] Step S15: passing the first land appreciation coefficient to the ath land appreciation coefficient through the land appreciation change coefficient corresponding to the target land area;

[0052] The land value-added change coefficient is calculated as follows:

[0053]

[0054] Among them, Tzb is the land appreciation change coefficient corresponding to the target land area, Tzz1 to Tzza are the first land appreciation coefficient to the ath land appreciation coefficient respectively, and a is the quantity value corresponding to the cumulative number of land transfers;

[0055] Step S16: defining the land transfer stage division data, the average land appreciation coefficient and the land appreciation change coefficient as regional land appreciation tax data;

[0056] Step S2: Conduct a humanistic environment analysis on the target land area based on the regional land value-added tax data to obtain the regional heat change coefficient;

[0057] Step S21: Acquire regional land value-added tax data, and acquire land transfer stage division data based on the regional land value-added tax data;

[0058] Step S22: Analyze the regional environment of the target land area corresponding to the first land transfer to obtain the regional heat coefficient corresponding to the first land transfer, and name it as the first regional heat coefficient;

[0059] The step S22 further includes the following specific steps:

[0060] See also Figure 3 , Step S221: Acquire regional household registration data, mark a regional population flow monitoring circle around the target land area, and mark the time point corresponding to the first land transfer as the first land transfer time point;

[0061] Step S222: obtaining the number of permanent residents in the regional flow monitoring circle at the first land transfer time point according to the regional household registration data, and obtaining the number of permanent residents in the region;

[0062] Step S223: Obtain the first vehicle flow quantity value to the bth vehicle flow quantity value;

[0063] The step S223 further includes the following specific steps:

[0064] See also Figure 3 , step S2231: marking a vehicle flow monitoring sub-area in the target land area, and marking a vehicle flow monitoring period with the first land transfer time point as the intermediate time point, and naming it the first vehicle flow monitoring period;

[0065] Step S2232: Mark b traffic flow monitoring time points in the first traffic flow monitoring period, and name them as the first traffic flow monitoring time point to the bth traffic flow monitoring time point respectively;

[0066] Step S2233: respectively acquiring monitoring images in the traffic flow monitoring sub-area from the first traffic flow monitoring time point to the bth traffic flow monitoring time point, and naming them as the first traffic flow monitoring image to the bth traffic flow monitoring image;

[0067] Step S2234: obtaining the number of vehicles corresponding to the first traffic flow monitoring image to the bth traffic flow monitoring image respectively through an image recognition algorithm, and obtaining the first traffic flow number value to the bth traffic flow number value;

[0068] Step S224: Calculate the average of the first vehicle flow quantity value to the bth vehicle flow quantity value to obtain the average quantity value of the monitored vehicle flow;

[0069] Step S225: Calculate the first vehicle flow quantity value to the b-th vehicle flow quantity value to obtain a monitoring vehicle flow stability coefficient;

[0070] The stability coefficient of monitored traffic flow is calculated, and the specific formula configuration is as follows:

[0071]

[0072] Wherein, Wdx is the stability coefficient of the monitored traffic flow, Lc1 to Lcb are the first traffic flow quantity value to the bth traffic flow quantity value respectively, Lcp is the average quantity value of the monitored traffic flow, and b is the quantity value corresponding to the traffic flow monitoring time point;

[0073] Step S226: The regional heat coefficient corresponding to the first land transfer is obtained by calculating the monitored vehicle flow stability coefficient, the average number of monitored vehicle flows, and the number of permanent residents in the region;

[0074] The regional heat coefficient corresponding to the first land transfer is calculated, and the specific formula configuration is as follows:

[0075] Qrx=Cls×(1+Wdx)+Rks;

[0076] Among them, Qrx is the regional heat coefficient corresponding to the first land transfer, C ls is the average number of monitored vehicle flows, Wdx is the stability coefficient of monitored vehicle flows, and Rks is the number of permanent residents in the region;

[0077] Step S23: respectively obtaining the heat coefficients of the regions corresponding to the second land transfer to the ath land transfer, and obtaining the heat coefficients of the second region to the ath region;

[0078] Step S24: Calculate the heat coefficient of the first region to the heat coefficient of the ath region to obtain the regional heat change coefficient corresponding to the target land region;

[0079] Calculate the regional heat change coefficient. The specific formula configuration is as follows:

[0080]

[0081] Among them, Qrb is the regional heat change coefficient, Qrx1 to Qrxa are the heat coefficients of the first region to the ath region respectively, and a is the quantity value corresponding to the cumulative number of land transfers;

[0082] Step S3: Analyze the regional heat change coefficient and the regional land value-added tax data to obtain the land economic benefit evaluation coefficient and obtain the land economic benefit evaluation coefficient threshold, compare the land economic benefit evaluation coefficient with the land economic benefit evaluation coefficient threshold, and evaluate the economic development status of the target land area according to the numerical comparison result;

[0083] Step S31: Obtain regional land value-added tax data, and obtain the land value-added change coefficient and the average land value-added coefficient according to the regional land value-added tax data;

[0084] Step S32: Obtaining the regional heat change coefficient;

[0085] Step S33: Calculating the land value-added change coefficient, the average land value-added coefficient and the regional heat change coefficient to obtain a land economic benefit evaluation coefficient;

[0086] The land economic benefit evaluation coefficient is calculated, and the specific formula is configured as follows:

[0087] Xyx=Tzb+Zpx+Qrb;

[0088] Among them, Xyx is the land economic benefit evaluation coefficient, Tzb is the land value-added change coefficient, Zpx is the average land value-added coefficient, and Qrb is the regional heat change coefficient;

[0089] Step S34: obtaining a land economic benefit evaluation coefficient threshold, performing a numerical comparison between the land economic benefit evaluation coefficient and the land economic benefit evaluation coefficient threshold, and evaluating the economic development status of the target land area according to the numerical comparison result;

[0090] The step S34 further includes the following specific steps:

[0091] Step S341: respectively obtaining a land value-added change coefficient threshold, an average land value-added coefficient threshold, and a regional heat change coefficient threshold;

[0092] Step S342: Calculating the land value-added coefficient threshold, the average land value-added coefficient threshold, and the regional heat value change coefficient threshold to obtain a land economic benefit evaluation coefficient threshold;

[0093] The threshold of the land economic benefit evaluation coefficient is calculated, and the specific formula configuration is as follows:

[0094] Xyxy=Tzby+Zpxy+Qrby;

[0095] Among them, Xyxy is the land economic benefit evaluation coefficient threshold, Tzby is the land value-added change coefficient threshold, Zpxy is the average land value-added coefficient threshold, and Qrby is the regional heat change coefficient threshold;

[0096] Step S343: when the land economic benefit evaluation coefficient is greater than or equal to the land economic benefit evaluation coefficient threshold, the land economic benefit of the target land area is evaluated as the first economic benefit level;

[0097] Step S344: when the land economic benefit evaluation coefficient is less than the land economic benefit evaluation coefficient threshold, the land economic benefit of the target land area is evaluated as the second economic benefit level;

[0098] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0099] Embodiment 2

[0100] See also Figure 2Based on another concept of the same invention, a land value-added tax data processing system is proposed, which includes a tax data module, a land data module, an analysis and processing module and a server. The tax data module, the land data module and the analysis and processing module are respectively connected to the server, and the server controls the tax data module, the land data module and the analysis and processing module respectively;

[0101] The tax data module obtains the land transfer stage division data, the average land value-added coefficient and the average land value-added coefficient respectively, and obtains the regional land value-added tax data;

[0102] The cumulative number of land transfers corresponding to the target land area is obtained, and the value-added tax payment time value corresponding to each land transfer is obtained respectively, so as to obtain multiple value-added tax payment time values;

[0103] Get the time value corresponding to the current time as the base time value, calculate the difference between each VAT payment time value and the base time value, and obtain multiple VAT payment time differences;

[0104] The VAT payment time differences are sorted in descending order according to the numerical values ​​to obtain the VAT payment time difference sorting queue. The corresponding land transfers are named from the first land transfer to the ath land transfer according to the VAT payment time difference sorting queue to obtain the land transfer stage division data;

[0105] It should be noted here that:

[0106] In this application, the target land area involved here is the object of land value-added tax data processing in this implementation;

[0107] The a involved here is the quantity value corresponding to the cumulative number of land transfers, and a is an integer greater than 0;

[0108] Conduct value-added tax analysis on the first land transfer in the target land area, obtain the land value-added coefficient corresponding to the first land transfer, and name it the first land value-added coefficient;

[0109] The details are as follows:

[0110] Obtaining a price value corresponding to the target land area at the time of initial purchase to obtain a first price value, and obtaining a time value of the initial purchase to obtain a first time value;

[0111] What needs to be explained here is;

[0112] The initial purchase involved here is a commodity transaction for the target land area;

[0113] Obtaining the land transfer price corresponding to the target land area when the first land transfer is performed to obtain a second price value, and obtaining the transfer time value corresponding to the first land transfer to obtain a second time value;

[0114] The first price value and the second price value are compared in numerical value. When the first price value is greater than or equal to the second price value, the land appreciation coefficient corresponding to the first land transfer is calculated by using the second price value, the first time value and the second time value;

[0115] The land value-added coefficient corresponding to the first land transfer is calculated using the following formula:

[0116]

[0117] Among them, Tzz is the land appreciation coefficient corresponding to the first land transfer, Jg2 is the second price value, Sj1 is the first time value, and Sj2 is the second time value;

[0118] The first price value and the second price value are compared in numerical value. When the first price value is less than the second price value, the land appreciation coefficient corresponding to the first land transfer is calculated by using the first price value, the second price value, the first time value and the second time value;

[0119] The land value-added coefficient corresponding to the first land transfer is calculated using the following formula:

[0120]

[0121] Among them, Tzz is the land appreciation coefficient corresponding to the first land transfer, Jg1 is the first price value, Jg2 is the second price value, Sj1 is the first time value, and Sj2 is the second time value;

[0122] It should be noted here that:

[0123] In this application, when the first price value is less than the second price value, that is, the price value corresponding to the target land area at the time of initial purchase is less than the land transfer price corresponding to the target land area during the first land transfer, it means that the price of the target land area has increased, otherwise it means that the price of the target land area has decreased, so two different formulas are used here to calculate the land appreciation coefficient for the two situations of increase and decrease;

[0124] In this application, if the land value increases within a certain period of time, it is considered that the corresponding target land area has appreciated, and the relationship between the land appreciation and the regional economic development is positively correlated;

[0125] The land appreciation coefficients corresponding to the second land transfer to the ath land transfer are obtained respectively, and the second land appreciation coefficient to the ath land appreciation coefficient are obtained;

[0126] Calculate the average of the first land appreciation coefficient to the ath land appreciation coefficient to obtain the average land appreciation coefficient corresponding to the target land area;

[0127] The first land appreciation coefficient to the ath land appreciation coefficient are passed through the land appreciation change coefficient corresponding to the target land area;

[0128] The land value-added change coefficient is calculated as follows:

[0129]

[0130] Among them, Tzb is the land appreciation change coefficient corresponding to the target land area, Tzz1 to Tzza are the first land appreciation coefficient to the ath land appreciation coefficient respectively, and a is the quantity value corresponding to the cumulative number of land transfers;

[0131] The land transfer stage division data, average land value-added coefficient and land value-added change coefficient are defined as regional land value-added tax data;

[0132] The tax data module acquires the regional land value-added tax data and transmits it to the land data module and the analysis and processing module;

[0133] The land data module conducts human environment analysis on the target land area based on the regional land value-added tax data to obtain the regional heat change coefficient;

[0134] Obtain regional land value-added tax data, and obtain land transfer stage division data based on regional land value-added tax data;

[0135] The regional environment of the target land area corresponding to the first land transfer is analyzed to obtain the regional heat coefficient corresponding to the first land transfer, and it is named the first regional heat coefficient;

[0136] The details are as follows:

[0137] Obtain regional household registration data, mark a regional population flow monitoring circle around the target land area, and mark the time point corresponding to the first land transfer as the first land transfer time point;

[0138] According to the regional household registration data, the number of permanent residents in the regional flow monitoring circle at the first land transfer time point is obtained to obtain the number of permanent residents in the region;

[0139] Mark a traffic flow monitoring sub-area in the target land area, and mark a traffic flow monitoring period with the first land transfer time point as the middle time point, and name it the first traffic flow monitoring period;

[0140] Mark b traffic flow monitoring time points in the first traffic flow monitoring period, and name them as the first traffic flow monitoring time point to the bth traffic flow monitoring time point respectively;

[0141] It should be noted here that:

[0142] In this application, b is the quantity value corresponding to the traffic flow monitoring time point, and b is an integer greater than 0;

[0143] Acquire monitoring images in the traffic flow monitoring sub-area from the first traffic flow monitoring time point to the bth traffic flow monitoring time point respectively, and name them as the first traffic flow monitoring image to the bth traffic flow monitoring image;

[0144] Obtain the number of cars corresponding to the first traffic flow monitoring image to the bth traffic flow monitoring image respectively through an image recognition algorithm, and obtain the first traffic flow number value to the bth traffic flow number value;

[0145] Calculate the average of the first vehicle flow quantity value to the bth vehicle flow quantity value to obtain the average quantity value of the monitored vehicle flow;

[0146] The first vehicle flow quantity value to the bth vehicle flow quantity value are calculated to obtain a monitoring vehicle flow stability coefficient;

[0147] The stability coefficient of monitored traffic flow is calculated, and the specific formula configuration is as follows:

[0148]

[0149] Wherein, Wdx is the stability coefficient of the monitored traffic flow, Lc1 to Lcb are the first traffic flow quantity value to the bth traffic flow quantity value respectively, Lcp is the average quantity value of the monitored traffic flow, and b is the quantity value corresponding to the traffic flow monitoring time point;

[0150] The regional heat coefficient corresponding to the first land transfer is obtained by calculating the stability coefficient of monitored traffic flow, the average number of monitored traffic flow, and the number of permanent residents in the region;

[0151] The regional heat coefficient corresponding to the first land transfer is calculated, and the specific formula configuration is as follows:

[0152] Qrx=Cls×(1+Wdx)+Rks;

[0153] Among them, Qrx is the regional heat coefficient corresponding to the first land transfer, C ls is the average number of monitored vehicle flows, Wdx is the stability coefficient of monitored vehicle flows, and Rks is the number of permanent residents in the region;

[0154] It should be noted here that:

[0155] In this application, the regional heat coefficient involved here is positively correlated with the average number of monitored traffic, the stability coefficient of monitored traffic, and the number of regional permanent residents, that is, the larger the average number of monitored traffic, the more significant the stable growth of traffic, and the larger the number of regional permanent residents, the higher the regional heat;

[0156] The heat coefficients of the regions corresponding to the second land transfer to the ath land transfer are obtained respectively, and the heat coefficients of the second region to the ath region are obtained;

[0157] The regional heat change coefficient corresponding to the target land area is obtained by calculating the heat coefficient of the first area to the heat coefficient of the ath area;

[0158] Calculate the regional heat change coefficient. The specific formula configuration is as follows:

[0159]

[0160] Among them, Qrb is the regional heat change coefficient, Qrx1 to Qrxa are the heat coefficients of the first region to the ath region respectively, and a is the quantity value corresponding to the cumulative number of land transfers;

[0161] The land data module obtains the regional heat change coefficient and transmits it to the analysis and processing module;

[0162] The analysis and processing module analyzes the regional heat change coefficient and the regional land value-added tax data to obtain the land economic benefit evaluation coefficient and obtain the land economic benefit evaluation coefficient threshold, compares the land economic benefit evaluation coefficient with the land economic benefit evaluation coefficient threshold, and evaluates the economic development status of the target land area based on the numerical comparison results;

[0163] Obtain regional land value-added tax data, and obtain the land value-added change coefficient and average land value-added coefficient based on the regional land value-added tax data;

[0164] Get the regional heat change coefficient;

[0165] The land value-added change coefficient, the average land value-added coefficient and the regional heat change coefficient are calculated to obtain the land economic benefit evaluation coefficient;

[0166] The land economic benefit evaluation coefficient is calculated, and the specific formula is configured as follows:

[0167] Xyx=Tzb+Zpx+Qrb;

[0168] Among them, Xyx is the land economic benefit evaluation coefficient, Tzb is the land value-added change coefficient, Zpx is the average land value-added coefficient, and Qrb is the regional heat change coefficient;

[0169] Obtaining a land economic benefit assessment coefficient threshold, numerically comparing the land economic benefit assessment coefficient with the land economic benefit assessment coefficient threshold, and evaluating the economic development status of the target land area based on the numerical comparison result;

[0170] The details are as follows:

[0171] Obtain the land value-added change coefficient threshold, the average land value-added coefficient threshold, and the regional heat change coefficient threshold respectively;

[0172] It should be noted here that:

[0173] In this application, the land appreciation change coefficient threshold, the average land appreciation coefficient threshold, and the regional heat change coefficient threshold are all the corresponding minimum land appreciation change coefficient, minimum average land appreciation coefficient, and minimum regional heat change coefficient of the land area of ​​the first economic benefit level;

[0174] In specific applications, the land value increase coefficient threshold, the average land value increase coefficient threshold and the regional heat change coefficient threshold can be specifically set according to the actual situation of the region;

[0175] The land value-added coefficient threshold, the average land value-added coefficient threshold and the regional heat change coefficient threshold are calculated to obtain the land economic benefit evaluation coefficient threshold;

[0176] The threshold of the land economic benefit evaluation coefficient is calculated, and the specific formula configuration is as follows:

[0177] Xyxy=Tzby+Zpxy+Qrby;

[0178] Among them, Xyxy is the land economic benefit evaluation coefficient threshold, Tzby is the land value-added change coefficient threshold, Zpxy is the average land value-added coefficient threshold, and Qrby is the regional heat change coefficient threshold;

[0179] The numerical comparison process is as follows:

[0180] When the land economic benefit evaluation coefficient is greater than or equal to the land economic benefit evaluation coefficient threshold, the land economic benefit evaluation of the target land area is at the first economic benefit level;

[0181] When the land economic benefit evaluation coefficient is less than the land economic benefit evaluation coefficient threshold, the land economic benefit evaluation of the target land area is the second economic benefit level;

[0182] It should be noted here that:

[0183] The economic benefits corresponding to the first economic benefit level involved here are better than the economic benefits corresponding to the second economic benefit level.

[0184] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for processing land value-added tax data, characterized in that: include: Step S1: respectively obtain the land transfer stage division data, the average land appreciation coefficient and the average land appreciation coefficient to obtain the regional land appreciation tax data; Step S2: Analyze the target land area according to the regional land value-added tax data, obtain the regional heat coefficient corresponding to each land transfer of the target land area, obtain multiple regional heat coefficients, and calculate the regional heat change coefficient through the multiple regional heat coefficients; Step S3: Analyze the regional heat change coefficient and the regional land value-added tax data to obtain the land economic benefit evaluation coefficient and obtain the land economic benefit evaluation coefficient threshold, compare the land economic benefit evaluation coefficient with the land economic benefit evaluation coefficient threshold, and evaluate the economic development status of the target land area based on the numerical comparison results.

2. The land value-added tax data processing method according to claim 1, characterized in that: The step S1 further includes the following specific steps: Step S11: Acquire the target land area, and divide the target land area into the first land transfer to the ath land transfer, and obtain land transfer stage division data; Step S12: performing a value-added tax analysis on the first land transfer in the target land area, obtaining a land value-added coefficient corresponding to the first land transfer, and naming it the first land value-added coefficient; Step S13: respectively obtaining the land appreciation coefficients corresponding to the second land transfer to the ath land transfer, and obtaining the second land appreciation coefficient to the ath land appreciation coefficient; Step S14: Calculate the average of the first land appreciation coefficient to the ath land appreciation coefficient to obtain the average land appreciation coefficient corresponding to the target land area; Step S15: passing the first land appreciation coefficient to the ath land appreciation coefficient through the land appreciation change coefficient corresponding to the target land area; Calculate the coefficient of change of land value appreciation; Step S16: define the land transfer stage division data, the average land appreciation coefficient and the land appreciation change coefficient as regional land appreciation tax data.

3. The land value-added tax data processing method according to claim 2 is characterized in that: The step S11 further includes the following specific steps: Step S111: Acquire the cumulative number of land transfers corresponding to the target land area, and respectively acquire the value-added tax payment time value corresponding to each land transfer, to obtain multiple value-added tax payment time values; Step S112: obtaining the time value corresponding to the current time as the reference time value, and calculating the difference between each VAT payment time value and the reference time value, to obtain multiple VAT payment time differences; Step S113: Arrange the VAT payment time differences in descending order according to their numerical values ​​to obtain a VAT payment time difference sorting queue, and name the corresponding land transfers from the first land transfer to the ath land transfer according to the VAT payment time difference sorting queue to obtain land transfer stage division data.

4. The land value-added tax data processing method according to claim 2 is characterized in that: The step S12 further includes the following specific steps: Step S121: obtaining a price value corresponding to the target land area at the time of initial purchase to obtain a first price value, and obtaining a time value of the initial purchase to obtain a first time value; Step S122: obtaining the land transfer price corresponding to the target land area when the first land transfer is performed to obtain a second price value, and obtaining the transfer time value corresponding to the first land transfer to obtain a second time value; Step S123: Compare the first price value and the second price value. When the first price value is greater than or equal to the second price value, calculate the land value increment coefficient corresponding to the first land transfer by using the second price value, the first time value and the second time value. Calculate the land value-added coefficient corresponding to the first land transfer; Step S124: Compare the first price value and the second price value. When the first price value is smaller than the second price value, calculate the land value increment coefficient corresponding to the first land transfer by using the first price value, the second price value, the first time value and the second time value. Calculate the land appreciation coefficient corresponding to the first land transfer.

5. The land value-added tax data processing method according to claim 1, characterized in that: The step S2 further includes the following specific steps: Step S21: Acquire regional land value-added tax data, and acquire land transfer stage division data based on the regional land value-added tax data; Step S22: Analyze the regional environment of the target land area corresponding to the first land transfer to obtain the regional heat coefficient corresponding to the first land transfer, and name it as the first regional heat coefficient; Step S23: respectively obtaining the heat coefficients of the regions corresponding to the second land transfer to the ath land transfer, and obtaining the heat coefficients of the second region to the ath region; Step S24: Calculate the heat coefficient of the first region to the heat coefficient of the ath region to obtain the regional heat change coefficient corresponding to the target land region; Calculate the regional heat variation coefficient.

6. The land value-added tax data processing method according to claim 5 is characterized in that: The step S22 further includes the following specific steps: Step S221: Acquire regional household registration data, mark a regional human flow monitoring circle around the target land area, and mark the time point corresponding to the first land transfer as the first land transfer time point; Step S222: obtaining the number of permanent residents in the regional flow monitoring circle at the first land transfer time point according to the regional household registration data, and obtaining the number of permanent residents in the region; Step S223: Obtain the first vehicle flow quantity value to the bth vehicle flow quantity value; Step S224: Calculate the average of the first vehicle flow quantity value to the bth vehicle flow quantity value to obtain the average quantity value of the monitored vehicle flow; Step S225: Calculate the first vehicle flow quantity value to the b-th vehicle flow quantity value to obtain a monitoring vehicle flow stability coefficient; Calculate the stability coefficient of monitored traffic flow; Step S226: The regional heat coefficient corresponding to the first land transfer is obtained by calculating the monitored vehicle flow stability coefficient, the average number of monitored vehicle flows, and the number of permanent residents in the region; Calculate the regional heat coefficient corresponding to the first land transfer.

7. The land value-added tax data processing method according to claim 6, characterized in that: The step S223 further includes the following specific steps: Step S2231: Mark a traffic flow monitoring sub-area in the target land area, and mark a traffic flow monitoring period with the first land transfer time point as the intermediate time point, and name it the first traffic flow monitoring period; Step S2232: Mark b traffic flow monitoring time points in the first traffic flow monitoring period, and name them as the first traffic flow monitoring time point to the bth traffic flow monitoring time point respectively; Step S2233: respectively acquiring monitoring images in the traffic flow monitoring sub-area from the first traffic flow monitoring time point to the bth traffic flow monitoring time point, and naming them as the first traffic flow monitoring image to the bth traffic flow monitoring image; Step S2234: Obtain the vehicle quantity values ​​corresponding to the first traffic flow monitoring image to the bth traffic flow monitoring image respectively through an image recognition algorithm to obtain the first traffic flow quantity value to the bth traffic flow quantity value.

8. The land value-added tax data processing method according to claim 1, characterized in that: The step S3 further includes the following specific steps: Step S31: Obtain regional land value-added tax data, and obtain the land value-added change coefficient and the average land value-added coefficient according to the regional land value-added tax data; Step S32: Obtaining the regional heat change coefficient; Step S33: Calculating the land value-added change coefficient, the average land value-added coefficient and the regional heat change coefficient to obtain a land economic benefit evaluation coefficient; Calculate the land economic benefit evaluation coefficient; Step S34: Obtain the land economic benefit evaluation coefficient threshold, compare the land economic benefit evaluation coefficient with the land economic benefit evaluation coefficient threshold, and evaluate the economic development status of the target land area according to the comparison result.

9. The land value-added tax data processing method according to claim 8, characterized in that: The step S34 further includes the following specific steps: Step S341: respectively obtaining a land value-added change coefficient threshold, an average land value-added coefficient threshold, and a regional heat change coefficient threshold; Step S342: Calculating the land value-added coefficient threshold, the average land value-added coefficient threshold, and the regional heat value change coefficient threshold to obtain a land economic benefit evaluation coefficient threshold; Step S343: when the land economic benefit evaluation coefficient is greater than or equal to the land economic benefit evaluation coefficient threshold, the land economic benefit of the target land area is evaluated as the first economic benefit level; Step S344: When the land economic benefit evaluation coefficient is less than the land economic benefit evaluation coefficient threshold, the land economic benefit of the target land area is evaluated as the second economic benefit level.

10. The land value-added tax data processing system is applicable to the land value-added tax data processing method according to any one of claims 1 to 9, characterized in that: The specific working process of each module of the data processing system is as follows: The tax data module is used to obtain the land transfer stage division data, the average land appreciation coefficient and the average land appreciation coefficient, and obtain the regional land appreciation tax data; The land data module is used to analyze the human environment of the target land area based on the regional land value-added tax data and obtain the regional heat change coefficient; The analysis and processing module is used to evaluate the economic development status of the target land area based on the regional heat change coefficient and regional land value-added tax data.

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