农药最大残留限量标准差异对我国茶叶出口RCEP成员国的贸易效率影响研究——基于随机前沿引力模型
Study on the Impact of Standards Differences in Pesticide Maximum Residue Limits on the Trade Efficiency of RCEP Members Exporting Tea from China:Based on the Stochastic Frontier Gravity Model
霍增辉 1柳畅 1张玫 2陈富桥 3刘仲华4
作者信息
- 1. 中国计量大学经济与管理学院,浙江 杭州 310018
- 2. 浙江水利水电学院经济与管理学院,浙江 杭州 310018
- 3. 中国农业科学院茶叶研究所,浙江 杭州 310008
- 4. 湖南农业大学,湖南 长沙 410128
- 折叠
摘要
目前,茶叶外贸面临着来自技术性贸易壁垒的挑战,以农药最大残留限量(MRLs)标准差异为切入点,构建异质性贸易指数(HIT)量化各国农药MRLs的具体差异,利用随机前沿引力模型研究农药MRLs标准差异对我国茶叶出口区域全面经济伙伴关系协定(RCEP)国家的贸易效率的影响.结果表明,中国与 RCEP 成员国的农药MRLs标准存在差异,但总体呈缩小的趋势.中国与RCEP成员国的农药MRLs标准的负面差异会导致中国出口茶叶的贸易效率降低;抑制作用路径表现为显著降低了茶叶出口额和出口单价.我国应进一步完善农药MRLs标准体系,使之与国际标准接轨,推动RCEP区域内国家间的标准互认,减小贸易壁垒的不利影响.
Abstract
Currently,tea trade is facing challenges from technical trade barriers.This study used the standards differences in pesticide maximum residue limits(MRLs)as the entry point to construct The Heterogeneity Index of Trade(HIT)to quantify the specific differences in pesticide MRLs between countries.The stochastic frontier gravity model was used to study the impact of standards differences in pesticide MRLs on the trade efficiency of RCEP members exporting tea from China.The results show that there are differences in the pesticide MRLs standards between China and RCEP members,but overall there is a decreasing trend.The negative differences in pesticide MRLs standards between China and RCEP members will lead to a reduction in the trade efficiency of China's tea exports.The inhibitory effect path is manifested by significantly reducing tea export volume and export unit price.China's pesticide MRLs standard system should be further improved to align with international standards,promote mutual recognition of standards among countries in the RCEP region,and reduce the adverse effects of trade barriers.
关键词
农药最大残留限量标准差异/茶叶贸易效率/随机前沿引力模型/异质性贸易指数Key words
the standards difference in pesticide maximum residue limits(MRLs)/tea trade efficiency/stochastic frontier gravity model/heterogeneity index of trade引用本文复制引用
基金项目
中国工程院战略研究与咨询项目(2023-XY-29)
国家社会科学基金(19BGL225)
浙江省科技计划项目软科学研究项目(2024C35091)
浙江省高校基本科研业务费资助项目(2023YW79)
出版年
2024
国家科技期刊平台
NSTL
万方数据