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Can agricultural technological progress promote China’s interprovincial rural revitalization? an analytical perspective based on agricultural-scale operations

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  • Fei Wang
  • Dong Xue
  • Zheyi Yang

Abstract

To clarify the role of agricultural technological progress in the process of rural revitalization, this paper uses the agricultural panel data of 31 provinces in China from 2007 to 2020 to measure the Total Factor Productivity of agriculture, analyzes the impact direction and spatial spillover effect of agricultural technological progress on China’s rural revitalization through the spatial Durbin model, and analyzes the threshold mechanism of agricultural technological progress on China’s rural revitalization by using the panel threshold model. The results are as follows: (1) The spatial and geographical agglomeration of interprovincial rural revitalization in China has gradually weakened, and the regional imbalance has improved; (2) The progress in agricultural technology plays a positive role in promoting China’s interprovincial rural revitalization, and the overall nonlinear characteristics of "first inhibiting and then promoting" are presented, and the conclusion is still robust after fully considering the factors of time, region and economic distance; (3) Further analysis shows that the impact of agricultural technological progress on China’s interprovincial rural revitalization is based on the threshold constraints of land-scale operation and agricultural-industry agglomeration, and shows significant spatial heterogeneity. The inherent reason is that whether the land-scale operation entity adopts long-term investment decisions such as new agricultural technology depends on the expectation of land management risk stability, while agricultural-industry agglomeration hinders the diffusion and spillover of agricultural technology due to the exclusive characteristics of agricultural production geographical locations. Therefore, in the future of China’s rural revitalization, the government should guide the large-scale operation of land and agricultural production according to local conditions to give full play to the positive spillover effect and spatial radiation capacity of agricultural technology.

Suggested Citation

  • Fei Wang & Dong Xue & Zheyi Yang, 2024. "Can agricultural technological progress promote China’s interprovincial rural revitalization? an analytical perspective based on agricultural-scale operations," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-30, December.
  • Handle: RePEc:plo:pone00:0309339
    DOI: 10.1371/journal.pone.0309339
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    References listed on IDEAS

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    1. Tientao, A. & Legros, D. & Pichery, M.C., 2016. "Technology spillover and TFP growth: A spatial Durbin model," International Economics, Elsevier, vol. 145(C), pages 21-31.
    2. Siyu Yang & Feng Zhang, 2023. "The Impact of Agricultural Machinery Socialization Services on the Scale of Land Operation: Evidence from Rural China," Agriculture, MDPI, vol. 13(8), pages 1-22, August.
    3. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    4. Shulong Li & Zhizhang Wang, 2023. "The Effects of Agricultural Technology Progress on Agricultural Carbon Emission and Carbon Sink in China," Agriculture, MDPI, vol. 13(4), pages 1-21, March.
    5. YANG,Jinrong & CAO,Linlin & YANG,Zisheng, 2023. "Relationship between Rural Industry Revitalization and Land Resource Utilization and Its Practice in Ganning Town, Wanzhou District of Chongqing," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 15(08), August.
    6. Boubaker Dhehibi & Udo Rudiger & Hloniphani Peter Moyo & Mohamed Zied Dhraief, 2020. "Agricultural Technology Transfer Preferences of Smallholder Farmers in Tunisia’s Arid Regions," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    7. Xu Dong & Yali Yang & Xiaomeng Zhao & Yingjie Feng & Chenguang Liu, 2021. "Environmental Regulation, Resource Misallocation and Industrial Total Factor Productivity: A Spatial Empirical Study Based on China’s Provincial Panel Data," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    8. Shipeng Yang & Wanxiang Xu & Yuxuan Xie & Muhammad Tayyab Sohail & Yefang Gong, 2023. "Impact of Natural Hazards on Agricultural Production Decision Making of Peasant Households: On the Basis of the Micro Survey Data of Hunan Province," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    9. Aligui Tientao & Diego Legros & Marie Claude Pichery, 2016. "Technology spillover and TFP growth: A spatial Durbin model," International Economics, CEPII research center, issue 145, pages 21-31.
    10. Dayong Huang & Yangyang Zhu & Qiuyue Yu, 2022. "Spatial Spillover Effects of Agricultural Agglomeration on Agricultural Non-Point Source Pollution in the Yangtze River Basin," Sustainability, MDPI, vol. 14(24), pages 1-26, December.
    11. Liu, Yazhou & Ji, Yueqing & Shao, Shuai & Zhong, Funing & Zhang, Ning & Chen, Yishan, 2017. "Scale of Production, Agglomeration and Agricultural Pollutant Treatment: Evidence From a Survey in China," Ecological Economics, Elsevier, vol. 140(C), pages 30-45.
    12. Caifeng Tan & Jianping Tao & Lan Yi & Juan He & Qi Huang, 2022. "Dynamic Relationship between Agricultural Technology Progress, Agricultural Insurance and Farmers’ Income," Agriculture, MDPI, vol. 12(9), pages 1-17, August.
    13. Yingji Liu & Manchao Zhang & Qun Cao & Erhong Wang & Bingkun Zou, 2023. "Can Integration of Agriculture and Tourism Promote Rural Green Development?—Empirical Evidence from 152 Cities in China," Agriculture, MDPI, vol. 13(2), pages 1-20, February.
    14. Li Wang & Jinyang Tang & Mengqian Tang & Mengying Su & Lili Guo, 2022. "Scale of Operation, Financial Support, and Agricultural Green Total Factor Productivity: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-18, July.
    15. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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