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农业全要素生产率、数字经济与农业高质量发展。

Agricultural total factor productivity, digital economy and agricultural high-quality development.

机构信息

Party School of Liaoning Provincial Party Committee, Shenyang, China.

出版信息

PLoS One. 2023 Oct 4;18(10):e0292001. doi: 10.1371/journal.pone.0292001. eCollection 2023.

Abstract

The long-term and stable development of agriculture is the key to China's economic development and social stability. Agricultural total factor productivity and the digital economy have become new kinetic energy and new engines driving agricultural high-quality development. It is of great significance to verify whether there are significant spatial and threshold effects in the process of high-quality development of agriculture and to explore the intrinsic relationship between high-quality development of agriculture and agricultural total factor productivity and digital economy. This paper takes 31 provinces in China from 2011 to 2020 as the research object. The coefficient of variation method is used to estimate the comprehensive evaluation index of agricultural high-quality development and digital economy. And Dea-Malmquist index method is used to estimate agricultural total factor productivity. On this basis, the spatial Durbin model and threshold regression model are constructed to explore the spatial and threshold effects of agricultural total factor productivity, digital economy and other factors and high-quality agricultural development. The conclusion is as follows: the high-quality development of agriculture has significant spatial autocorrelation. Agricultural total factor productivity and digital economy have significant direct effect and indirect spillover effect on the high-quality development of agriculture. Agricultural total factor productivity has stage differences in each range of digital economy level, but its influence on agricultural high-quality development shows a positive state. Based on this, the paper puts forward some countermeasures to promote the high-quality development of agriculture.

摘要

农业的长期稳定发展是中国经济发展和社会稳定的关键。农业全要素生产率和数字经济已成为推动农业高质量发展的新动能和新引擎。验证农业高质量发展过程中是否存在显著的空间和门槛效应,探索农业高质量发展与农业全要素生产率和数字经济之间的内在关系,具有重要意义。本文以 2011-2020 年中国 31 个省份为研究对象,采用变异系数法估算农业高质量发展和数字经济的综合评价指数,采用 Dea-Malmquist 指数法估算农业全要素生产率。在此基础上,构建空间 Durbin 模型和门槛回归模型,探讨农业全要素生产率、数字经济等因素及高质量农业发展的空间和门槛效应。结论如下:农业高质量发展具有显著的空间自相关性。农业全要素生产率和数字经济对农业高质量发展具有显著的直接效应和间接溢出效应。农业全要素生产率在数字经济水平的每个范围内都存在阶段性差异,但对农业高质量发展的影响呈正状态。基于此,提出了一些促进农业高质量发展的对策。

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