中国茶产业政策与全要素生产率变动

doi:10.13305/j.cnki.jts.2022.06.010

Abstract

Abstract: In this paper, the changing trend of China's tea industry policy from 1986 to 2018 was sorted out, the total factor productivity of China's tea industry was calculated by using data envelopment analysis, and the impact of tea industry policy on the change of total factor productivity was tested by using Tobit model. The results show that: (1) The number of industrial policies can significantly improve the total factor productivity of tea industry, and this promotion effect still exists after the endogenous problem is solved. (2) The number of encouraging policies and direct policies have a lasting impact on the total factor productivity (TFP) of tea industry, while the number of restrictive policies and indirect policies have a time lag effect on the TFP of tea industry. (3) Direct policies have the greatest impact on the total factor productivity of the tea industry, and indirect policies have the least impact on the total factor productivity of the tea industry. In order to improve the total factor productivity of tea industry, the government should strengthen policy support and improve the timeliness of industrial policies.

Key words: industry policy, total factor productivity, tea industry, data envelopment analysis

CLC Number:

ZHU Weili, CHEN Jianghua, LI Daohe. Policy and the Total Factor Productivity Change of Tea Industry in China[J]. Journal of Tea Science, 2022, 42(6): 886-899.

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Policy and the Total Factor Productivity Change of Tea Industry in China

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