Multiple Paths of Agricultural Green Total Factor Productivity Improvement from the Perspective of Institutional Grouping:A Panel Data Analysis Based on Dynamic QCA
Based on Chinese provincial panel data from 2001 to 2020,this paper examines the multi-factor linkage effects of the government,market,and society on enhancing the agricultural green total factor productivity(AGTFP)from the spatial and temporal dimensions using the dynamic fsQCA method,and explores the multiple paths of agricultural green development in the context of progressive reforms.The findings are as follows.Achieving high AGTFP requires the synergistic effect of multiple factors,and individual factors cannot work alone to achieve high AGTFP.Abundant government support has a universal role in raising AGTFP,and the lack of government support and the backwardness in marketization are the core constraints that cause low AGTFP.There are multiple paths and complex mechanisms for the green development of agriculture in China,and four types of grouping paths can achieve high AGTFP,including the multiple-driven"government-market-society"mode,the government-led mode,the dual-driven"government-market'mode,and the multiple-synergistic urbanization-driven mode.There are significant time effects in agricultural greening and provinces do not follow a consistent grouping path in achieving high AGTFP.Urbanization brings new opportunities for green agricultural development,and the scale of agricultural operations should follow the principles of moderation and localization under the basic condition of"big country,small farmers".
Agricultural Green Total Factor ProductivityEnvironmental RegulationSystem ConfigurationDynamic QCA
NETL
NSTL
万方数据
