Exploring the High-Quality County-Level Development and Governance Response for Farming–Pastoral Ecotone in China: A Case Study of Kulun
Abstract
:1. Introduction
2. Literature Review
2.1. Overview of the Farming–Pastoral Ecotone
2.2. Progress of High-Quality Development Research
3. Materials and Methods
3.1. Study Area
3.2. The DPSIR Model
3.3. Constructing the Index System
3.4. Entropy Method
- i.
- Variables are normalized. The higher the value, the better the positive indicator. Equation (1) is used for the normalization of positive indicators. The smaller the value, the better the negative indicator. Equation (1) is used for the normalization of negative indicators:
- ii.
- According to the standardized matrix = )m×n, n is the number of evaluation objects and m is the number of evaluation indicators. The information entropy of the evaluation index is calculated as follows:
- iii.
- The weights of the indicators are determined as follows:
3.5. Data Acquisition
4. Results
4.1. High-Quality County-Level Development Evaluation Results and Analysis
4.1.1. Analysis of DPSIR Index Based on Weight
4.1.2. Comprehensive Evaluation of High-Quality Development in Kulun
4.2. Regional Pressure Status and State Demands
4.2.1. Analysis of the Current Situation of County-Level Pressure
4.2.2. County-Level Development State and Transformation Demands
4.3. Governance Response
4.3.1. Implement the People-Centered Development Concept
4.3.2. Promote the Coordinated Development of Urban and Rural Areas
4.3.3. Promote Ecological Protection-Oriented Industrial Transformation
4.3.4. Promote Rural Revitalization
4.3.5. Improve the Modern Urban and Rural Governance Mechanism
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Target | Criterion | Indicator | Unit | Effect of Indicator |
---|---|---|---|---|
High-quality county-level development evaluation | Drivers (D) | Urbanization rate | % | + |
GDP | Ten thousand yuan | + | ||
Investment in fixed assets | Ten thousand yuan | + | ||
Per capita disposable income of all residents | Yuan | + | ||
Total retail sales of social consumption | Ten thousand yuan | + | ||
Pressure (P) | Proportion of employees in the primary industry | % | − | |
Proportion of employees in the secondary industry | % | − | ||
Proportion of employees in the tertiary industry | % | + | ||
Crop sown area | Hectare | + | ||
Population density | Person/km2 | − | ||
Balance of loans of financial institutions at the end of the year | Ten thousand yuan | + | ||
Number of professional technicians | Person | + | ||
State (S) | Comprehensive income of tourism society | Ten thousand yuan | + | |
Total power of agricultural machinery | Ten thousand kilowatts | + | ||
Green coverage in built-up areas | Ten thousand yuan | + | ||
Road mileage | km | + | ||
Impact (I) | Ratio of per capita disposable income in urban and rural pastoral areas | - | − | |
Number of industrial enterprises above designated size | - | + | ||
Proportion of added value of strategic emerging industries in GDP | % | + | ||
Responses (R) | Facility agriculture area | Hectare | + | |
Sandy land comprehensive management area | Hectare | + | ||
Proportion of added value of the tertiary industry | % | + | ||
Proportion of science and technology expenditure in public budget expenditure | % | + | ||
Proportion of social security and employment expenditure in public budget expenditure | % | + | ||
Proportion of energy conservation and environmental protection expenditure in public budget expenditure | % | + |
Unit | Mean | Median | Max | Min | Variance | SD | |
---|---|---|---|---|---|---|---|
Urbanization rate | % | 38.117 | 40.45 | 44.8 | 21 | 75.76 | 8.7039 |
GDP | Ten thousand yuan | 554,677.83 | 538,300 | 720,695 | 408,638 | 16,093,684,172 | 126,860.88 |
Investment in fixed assets | Ten thousand yuan | 556,847.5 | 663,986.5 | 750,776 | 123,836 | 57,785,561,733 | 240,386.27 |
Per capita disposable income of all residents | Yuan | 16,004.67 | 15,954.5 | 19,014 | 12,852 | 5,863,060.67 | 2421.37 |
Total retail sales of social consumption | Ten thousand yuan | 160,683.5 | 168,244.5 | 189,600 | 105,230 | 959,573,375.9 | 30,976.98 |
Proportion of employees in the primary industry | % | 66.5 | 66.5 | 68 | 65 | 1.9 | 1.37 |
Proportion of employees in the secondary industry | % | 7.67 | 8.5 | 10 | 3 | 6.27 | 2.5 |
Proportion of employees in the tertiary industry | % | 25.67 | 26.5 | 29 | 22 | 9.07 | 3.01 |
Crop sown area | Hectare | 108,659.67 | 110,151.5 | 118,496 | 92,302 | 77,156,006.67 | 8783.84 |
Balance of loans of financial institutions at the end of the year | Ten thousand yuan | 204,611.5 | 205,498.5 | 292,300 | 129,564 | 3,492,215,815 | 59,094.97 |
Population density | Person/km2 | 37.817 | 37.8 | 38 | 37.6 | 0.03 | 0.16 |
Number of professional technicians | Person | 3683.4 | 3708 | 4022 | 3300 | 71,941.8 | 268.22 |
Comprehensive income of tourism society | Ten thousand yuan | 43,645.83 | 50,500 | 65,000 | 1475 | 524,436,604.2 | 22,900.58 |
Total power of agricultural machinery | Ten thousand kilowatts | 41.17 | 40.5 | 46 | 38 | 8.56 | 2.927 |
Road mileage | km | 1960.83 | 2013.5 | 2031 | 1683 | 18,648.16 | 136.55 |
Green coverage in built-up areas | % | 36.065 | 36.01 | 37.6 | 34.8 | 0.79 | 0.8919 |
Ratio of per capita disposable income in urban and rural pastoral areas | — | 2.32 | 2.37 | 2.4 | 2.11 | 0.01 | 0.1141 |
Number of industrial enterprises above designated size | — | 15.5 | 16 | 25 | 4 | 96.7 | 9.83 |
Proportion of added value of strategic emerging industries in GDP | % | 9.83 | 9.5 | 15 | 5 | 13.76 | 3.71 |
Facility agriculture area | Hectare | 1476.17 | 709.5 | 3500 | 133 | 2,115,850.16 | 1454.59 |
Sandy land comprehensive management area | Hectare | 25.35 | 21.7 | 44 | 12.9 | 140.01 | 11.83 |
Proportion of added value of the tertiary industry | % | 49.67 | 50 | 68 | 35 | 170.667 | 13.064 |
Proportion of science and technology expenditure in public budget expenditure | % | 0.2 | 0.22 | 0.31 | 0.11 | 0.007 | 0.08456 |
Proportion of social security and employment expenditure in public budget expenditure | % | 16.8133 | 16.96 | 22.61 | 11.46 | 14.906 | 3.86087 |
Proportion of energy conservation and environmental protection expenditure in public budget expenditure | % | 1.4367 | 1.305 | 2.46 | 0.8 | 0.35 | 0.5915 |
Target | Criterion | Weight | Indicator | Weight |
---|---|---|---|---|
High-quality county-level development evaluation | Drivers (D) | 0.185 | Urbanization rate | 0.0008 |
GDP | 0.1007 | |||
Investment in fixed assets | 0.0566 | |||
Per capita disposable income of all residents | 0.0248 | |||
Total retail sales of social consumption | 0.0019 | |||
Pressure (P) | 0.327 | Proportion of employees in the primary industry | 0.1178 | |
Proportion of employees in the secondary industry | 0.0511 | |||
Proportion of employees in the tertiary industry | 0.0536 | |||
Crop sown area | 0.0008 | |||
Population density | 0.0732 | |||
Balance of loans of financial institutions at the end of the year | 0.0202 | |||
Number of professional technicians | 0.0104 | |||
State (S) | 0.044 | Comprehensive income of tourism society | 0.0016 | |
Total power of agricultural machinery | 0.0269 | |||
Green coverage in built-up areas | 0.0157 | |||
Road mileage | 0.0001 | |||
Impact (I) | 0.097 | Ratio of per capita disposable income in urban and rural pastoral areas | 0.0047 | |
Number of industrial enterprises above designated size | 0.0727 | |||
Proportion of added value of strategic emerging industries in GDP | 0.0195 | |||
Responses (R) | 0.347 | Facility agriculture area | 0.0716 | |
Sandy land comprehensive management area | 0.0728 | |||
Proportion of added value of the tertiary industry | 0.0547 | |||
Proportion of science and technology expenditure in public budget expenditure | 0.0440 | |||
Proportion of social security and employment expenditure in public budget expenditure | 0.0554 | |||
Proportion of energy conservation and environmental protection expenditure in public budget expenditure | 0.0485 |
Year | Comprehensive Evaluation Result | Drivers (D) | Pressure (P) | State (S) | Impact (I) | Responses (R) |
---|---|---|---|---|---|---|
2015 | 0.437 | 0.419 | 0.629 | 0.320 | 0.561 | 0.257 |
2016 | 0.570 | 0.430 | 0.598 | 0.455 | 0.496 | 0.395 |
2017 | 0.545 | 0.459 | 0.655 | 0.549 | 0.505 | 0.373 |
2018 | 0.499 | 0.525 | 0.520 | 0.642 | 0.468 | 0.398 |
2019 | 0.514 | 0.550 | 0.428 | 0.727 | 0.511 | 0.467 |
2020 | 0.538 | 0.648 | 0.381 | 0.571 | 0.613 | 0.762 |
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Cheng, Z.; Tang, A.; Cai, J.; Song, T. Exploring the High-Quality County-Level Development and Governance Response for Farming–Pastoral Ecotone in China: A Case Study of Kulun. Agriculture 2022, 12, 2042. https://doi.org/10.3390/agriculture12122042
Cheng Z, Tang A, Cai J, Song T. Exploring the High-Quality County-Level Development and Governance Response for Farming–Pastoral Ecotone in China: A Case Study of Kulun. Agriculture. 2022; 12(12):2042. https://doi.org/10.3390/agriculture12122042
Chicago/Turabian StyleCheng, Zhe, Anni Tang, Jianming Cai, and Tao Song. 2022. "Exploring the High-Quality County-Level Development and Governance Response for Farming–Pastoral Ecotone in China: A Case Study of Kulun" Agriculture 12, no. 12: 2042. https://doi.org/10.3390/agriculture12122042
APA StyleCheng, Z., Tang, A., Cai, J., & Song, T. (2022). Exploring the High-Quality County-Level Development and Governance Response for Farming–Pastoral Ecotone in China: A Case Study of Kulun. Agriculture, 12(12), 2042. https://doi.org/10.3390/agriculture12122042