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The influence of agricultural industrial policy on non-grain production of cultivated land: A case study of the “one village, one product” strategy implemented in Guanzhong Plain of China

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  • Yang, Qi
  • Zhang, Daojun

Abstract

As a populous country, China has always attached importance to the protection of cultivated land and food security. However, in the process of promoting rural development, agricultural industrial policies introduced by local governments may affect the realization of food security. Although there are many studies paying attention to the influence of agricultural industrial policy on food security, quantitative analyses are lacking. This paper takes the “one village, one product” strategy (OVOP) implemented in the Guanzhong Plain of China as an example. Through remote sensing and GIS technology, the ranges of the non-grain production of cultivated land (NGPOCL) from 2000 to 2018 were extracted for the study area. The regression discontinuity design was used to analyze the impact of the OVOP on the NGPOCL increase using the county as the basic sample. On these bases, food security was analyzed combined with the established evaluation indicators. The results show that 35 of the 47 counties in the Guanzhong Plain owned a significant jump in the NGPOCL area after the implementation of the OVOP, which indicates that the OVOP is an important reason for the NGPOCL expansion; meanwhile, the pressure index of cultivated land increased by 29.53%, which means the OVOP implementation has threatened food security seriously. This study can offer the authorities a clear truth and severity of the negative impacts of industrial policies, and warn them to be more cautious in implementing industrial policies.

Suggested Citation

  • Yang, Qi & Zhang, Daojun, 2021. "The influence of agricultural industrial policy on non-grain production of cultivated land: A case study of the “one village, one product” strategy implemented in Guanzhong Plain of China," Land Use Policy, Elsevier, vol. 108(C).
    • Handle: RePEc:eee:lauspo:v:108:y:2021:i:c:s0264837721003021
    DOI: 10.1016/j.landusepol.2021.105579
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    References listed on IDEAS

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    1. Hu, Yun-fei & You, Fei & Luo, Qi-you, 2018. "Characterizing the attitudes of the grain-planting farmers of Huaihe Basin, China," Food Policy, Elsevier, vol. 79(C), pages 224-234.
    2. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    3. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    4. Zhang, Daojun & Jia, Qiqi & Xu, Xin & Yao, Shunbo & Chen, Haibin & Hou, Xianhui, 2018. "Contribution of ecological policies to vegetation restoration: A case study from Wuqi County in Shaanxi Province, China," Land Use Policy, Elsevier, vol. 73(C), pages 400-411.
    5. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," Review of Economic Studies, Oxford University Press, vol. 79(3), pages 933-959.
    6. Aditya Parmar & Barbara Sturm & Oliver Hensel, 2017. "Crops that feed the world: Production and improvement of cassava for food, feed, and industrial uses," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(5), pages 907-927, October.
    7. Su, Yue & Qian, Kui & Lin, Lin & Wang, Ke & Guan, Tao & Gan, Muye, 2020. "Identifying the driving forces of non-grain production expansion in rural China and its implications for policies on cultivated land protection," Land Use Policy, Elsevier, vol. 92(C).
    8. Zhang, Daojun & Jia, Qiqi & Xu, Xin & Yao, Shunbo & Chen, Haibin & Hou, Xianhui & Zhang, Jinting & Jin, Gui, 2019. "Assessing the coordination of ecological and agricultural goals during ecological restoration efforts: A case study of Wuqi County, Northwest China," Land Use Policy, Elsevier, vol. 82(C), pages 550-562.
    9. Zang, Yuzhu & Liu, Yansui & Yang, Yuanyuan & Woods, Michael & Fois, Francesca, 2020. "Rural decline or restructuring? Implications for sustainability transitions in rural China," Land Use Policy, Elsevier, vol. 94(C).
    10. Khan, M. Mahmud & Riely, Frank, 1995. "A note on choice of indicators for food security and nutrition monitoring," Food Policy, Elsevier, vol. 20(1), pages 63-68, February.
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    1. Zhiyuan Zhu & Jiajia Duan & Shilin Li & Zhenzhong Dai & Yongzhong Feng, 2022. "Phenomenon of Non-Grain Production of Cultivated Land Has Become Increasingly Prominent over the Last 20 Years: Evidence from Guanzhong Plain, China," Agriculture, MDPI, vol. 12(10), pages 1-14, October.
    2. Chen, Qianru & Wu, Manyu & Xie, Hualin, 2023. "Tillage conditions or social economy? An analysis of the dominant driving force of farmland marginalization from the farmers' perspective," Land Use Policy, Elsevier, vol. 133(C).
    3. Yumeng Wang & Jiaxu Li & Xiangzhi Kong, 2022. "What Drives Land Abandonment in Core Grain-Producing Areas? Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-19, April.
    4. Guanyi Yin & Yi Lou & Shuai Xie & Wei Wei, 2022. "Evaluation of the Response of Grain Productivity to Different Arable Land Allocation Intensities in the Land Use Planning System of China," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    5. Zhang, Daojun & Yang, Wanjing & Kang, Dingrong & Zhang, Han, 2023. "Spatial-temporal characteristics and policy implication for non-grain production of cultivated land in Guanzhong Region," Land Use Policy, Elsevier, vol. 125(C).
    6. Qing Li & Xueyan Zhang, 2022. "Identifying Peach Trees in Cultivated Land Using U-Net Algorithm," Land, MDPI, vol. 11(7), pages 1-15, July.
    7. Jing Tang & Xiaoyong Zhang & Zhengchao Chen & Yongqing Bai, 2022. "Crop Identification and Analysis in Typical Cultivated Areas of Inner Mongolia with Single-Phase Sentinel-2 Images," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    8. Xiaofu Lin & Hui Fu, 2022. "Spatial-Temporal Evolution and Driving Forces of Cultivated Land Based on the PLUS Model: A Case Study of Haikou City, 1980–2020," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    9. Yue Su & Chong Su & Yan Xie & Tan Li & Yongjun Li & Yuanyuan Sun, 2022. "Controlling Non-Grain Production Based on Cultivated Land Multifunction Assessment," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    10. Chen Cao & Xueyun Chen, 2021. "Can Industrial Integration Improve the Sustainability of Grain Security?," Sustainability, MDPI, vol. 13(24), pages 1-17, December.

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