Translate 
Abstract
A profound understanding of the present status and regional characteristics of China's agricultural carbon emissions (ACE) is the basic prerequisite for exploring a pathway to ACE reduction that is compatible with China's national conditions. This study uses the inter-provincial agricultural industry panel data from 2001 to 2017 and selects the three-stage slack-based measure data envelope analysis (SBM-DEA) model and Malmquist-Luenberger(ML) index model to measure the dynamic efficiency of agricultural carbon emissions (ACE). Additionally, this study uses the Dagum Gini coefficient and the panel vector auto-regression(PVAR) model to analyze the sources of regional differences in dynamic efficiency and the internal structure, respectively. The empirical results reveal the following: (i) The dynamic efficiency of China's ACE is in a state of "efficiency optimization." Although both technological change and technological efficiency change are in an "efficient" state, they also show a decline in technological efficiency change and a regression in technological change, respectively. (ii) The overall Dagum Gini coefficient of China's ACE dynamic efficiency, technological change, and technological efficiency change all demonstrate upward trends. The gap between regions is the main reason for the long-term gap between the dynamic efficiency of China's ACE, technological change, and technological efficiency change. (iii) Regardless of the time horizon, technological change has always been the main driving force for the continuous growth of dynamic efficiency; the contribution of technological change to dynamic efficiency is far greater than that of technological efficiency change. This conclusion has been verified in samples from different regions of China.
Highlights
As the global climate problem has become increasingly serious, the “low-carbon economy” has become a new schema for global development
This study focuses on the regional differences and contribution sources of the dynamic efficiency of agricultural carbon emissions (ACE) in various regions and expands the research perspective to evaluate the internal structure of dynamic efficiency
This study examines the regional differences in the dynamic efficiency of ACE from 2001 to 2017 in China and empirically analyzes the dynamic effects of the internal structure of dynamic efficiency by using the Dagum Gini coefficient and the PVAR model
Summary
As the global climate problem has become increasingly serious, the “low-carbon economy” has become a new schema for global development. The marginal contributions of this paper are as follows: First, the correct division of the study area according to the research question is an important prerequisite for exploring the road to carbon emission reduction in China’s agricultural sector. This study conducts an empirical analysis of the regional differences in the dynamic efficiency of ACE and its formation mechanism according to the division of the seven major agricultural regions. This study focuses on the regional differences and contribution sources of the dynamic efficiency of ACE in various regions and expands the research perspective to evaluate the internal structure of dynamic efficiency. The findings of this research can be used to diagnose the regional differences in the dynamic efficiency of ACE and their mechanisms and to provide reference about ACE reduction for policy makers and planning of relevant government entities
Sign-in/Register to view highlights & summary 
Submitted Version (
Free)
Published Version
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
