Will land transfer affect agricultural carbon emission efficiency? An empirical study based on provinces in China.

Studying the carbon emission efficiency of the agricultural sector plays an important role in achieving the goal of global carbon neutrality. As a common economic behavior in agricultural production, it is still unclear about that how land transfer affects agricultural carbon emission efficiency (ACEE). Therefore, according to panel data of 30 provinces (including autonomous regions and municipalities at the same level) from 2005 to 2019 in the Chinese mainland, this work adopts the panel Ordinary Least Square (OLS) to reveal the influential mechanism of land transfer on ACEE.

Driving factors and decoupling trend analysis between agricultural CO emissions and economic development in China based on LMDI and Tapio decoupling.

Based on mathematical models, in-depth analysis about the interrelationship between agricultural CO emission and economic development has increasingly become a hotly debated topic. By applying two mathematical models including logarithmic mean divisia index (LMDI) and Tapio decoupling, this work aims to study the driving factor and decoupling trend for Chinese agricultural CO emission from 1996 to 2020. Firstly, the intergovernmental panel on climate change (IPCC) method is selected to estimate the agricultural CO emission from 1996 to 2020, and the LMDI model is adopted to decompose the driving factors of agricultural CO emission into four agricultural factors including economic development, carbon emission intensity, structure, and labor effect.