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

摘要/Abstract

摘要： 梳理了1986—2018年我国茶产业政策变迁趋势,并利用数据包络分析法测算了我国茶产业的全要素生产率,使用Tobit模型检验了茶产业政策对全要素生产率变动的影响。结果表明：（1）产业政策数量能够显著提升茶产业全要素生产率,这一促进作用在解决了内生性后依然存在;（2）鼓励型政策数量和直接政策数量对茶产业全要素生产率的影响具有持久性,限制型政策数量和间接政策数量对茶产业全要素生产率的影响具有时滞效应;（3）直接政策对茶产业全要素生产率的影响最大,间接政策对茶产业全要素生产率的影响最小。为提升茶产业全要素生产率,应加强政策支持,提高产业政策时效性。

关键词: 产业政策, 全要素生产率, 茶产业, 数据包络分析

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

中图分类号:

朱伟丽, 陈江华, 李道和. 中国茶产业政策与全要素生产率变动[J]. 茶叶科学, 2022, 42(6): 886-899. doi: 10.13305/j.cnki.jts.2022.06.010.

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. doi: 10.13305/j.cnki.jts.2022.06.010.

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