4.5 Article

Does agricultural mechanisation promote agricultural TFPG? Evidence from spatial panel data in China

Journal

APPLIED ECONOMICS
Volume 54, Issue 59, Pages 6809-6828

Publisher

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/00036846.2022.2083767

Keywords

Agricultural mechanization; agricultural total factor productivity; spatial spillover effects; regional heterogeneity analysis

Categories

Funding

  1. National Social Science Found Youth Project of China [21CJY025]

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Based on spatial panel data analysis, this study finds that the promotion of agricultural mechanization level has significant spatial spillover effects on agricultural total factor productivity growth, especially in the eastern and northeast regions of China. However, the central and western regions show weaker spatial spillovers due to different patterns of agricultural development. These findings provide important references for optimizing the spatial layout of agricultural mechanization, promoting agricultural development according to local conditions, and formulating reasonable agricultural economic development policies.
Does the promotion of agricultural mechanization level have spatial driving effects on the agricultural total factor productivity growth (TFPG)? Based on spatial panel data from 2000 to 2019, we begin by measuring agricultural TFPG, then incorporating spatial econometric models as well as carrying out spatial regression to first explore the influence agricultural mechanization level has on the agricultural TFPG. Meanwhile, we also perform decomposition of the spatial regression results to further study the spatial spillover effects performed by agricultural mechanization. The study suggests that the promotion of agricultural mechanization level has exerted significant spatial spillover effects on the agricultural TFPG, especially in the eastern and northeast regions of China, demonstrating obvious radiation effects, whereas the central and western regions may not produce such intense spatial spillovers due to the pattern of agricultural development. The results could not only enhance the understanding of agricultural mechanization on the agricultural TFPG but also produce constructive implications for optimizing the spatial layout of agricultural mechanization development, promoting agricultural development according to local conditions and formulating reasonable agricultural economic development policies.

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