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A study on the influencing factors of total factor productivity of cultivated land resource utilization: evidences from direct influence and spatial spillover in China

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  • Yan Zhang
  • Jiachao Peng
  • Zhizhen Ding

Abstract

This paper provides a new perspective for the study on the influencing factors of total factor productivity of cultivated land resource utilization (CL-TFP). Due to the dynamic continuity and spatial dependence of CL-TFP, this paper analyses the main factors affecting CL-TFP. The results show that regional urban–rural income level difference has a significant positive spatial autocorrelation on cultivated land resources. From the perspective of spatial action effect, land acquisition reduces the cultivated land area of a single province but increases the CL-TFP of neighboring provinces. In terms of direct effects, the short-term and long-term effects of urban and rural income are both positive on CL-TFP, and the long-term positive effect is significantly greater than the short-term positive effect; the impact of land expropriation area on CL-TFP is negative both in the short term and the long term. As for indirect effects, only the short-term and long-term effects of land acquisition are positive, while that of other significant variables are negative. The policy constraints and social systems affect CL-TFP by the technology effect, scale effect and scope effect, respectively. Therefore, this paper proposes to promote CL-TFP by improving the urbanization land use, agricultural population transfer and optimizing the land use allocation.

Suggested Citation

  • Yan Zhang & Jiachao Peng & Zhizhen Ding, 2023. "A study on the influencing factors of total factor productivity of cultivated land resource utilization: evidences from direct influence and spatial spillover in China," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 18, pages 228-243.
  • Handle: RePEc:oup:ijlctc:v:18:y:2023:i::p:228-243.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctac101
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    References listed on IDEAS

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    1. Olivier Parent & James P. LeSage, 2008. "Using the variance structure of the conditional autoregressive spatial specification to model knowledge spillovers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 235-256.
    2. Dennis L. Chinn, 1977. "Land Utilization and Productivity in Prewar Chinese Agriculture: Preconditions for Collectivization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(3), pages 559-564.
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    Cited by:

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