Spatial Distribution of Agricultural Eco-Efficiency and Agriculture High-Quality Development in China

Abstract

Agricultural ecological efficiency is not only the key link between green development and high-quality development of agriculture, but also an important regulatory indicator for China’s rural revitalization. Based on provincial panel data of China from 2000 to 2019, using land, mechanical, labor, fertilizer, pesticide, and agricultural film as input variables and economic output and agricultural carbon emissions as output variables, the inter-provincial agricultural ecological efficiency is calculated by a super-efficient SBM model, and the traditional spatial Markov probability transfer matrices are constructed based on time series and spatial correlation analyses. By exploring the spatial and temporal dynamic evolution characteristics of agricultural ecological efficiency, it is found that the agricultural ecological efficiency of China increased steadily with fluctuations. In addition, the provincial gap has been narrowing, but the overall level is still at a low level; thus, there is still a large space for improvement in agricultural ecological efficiency. The overall trend of agricultural ecological efficiency shifting to a high level in China is significant, but its evolution has the stability to maintain the original state, and achieving leapfrog transfer is relatively hard. The geospatial pattern plays an important role in the spatial-temporal evolution of agricultural ecological efficiency, with significant spatial agglomeration characteristics. Provinces with high agricultural ecological efficiency enjoy positive spillover effects, while provinces with low agricultural ecological efficiency have negative spillover effects; thus, gradually forming a “club convergence” phenomenon of “high agglomeration, low agglomeration, high radiation, and low suppression” in the spatial pattern. In addition, support for the improvement of agricultural ecological efficiency will be provided in this study.

Can Agricultural Productive Services Promote Agricultural Environmental Efficiency in China?

“…When farmland operation scale exceeds the threshold value, agricultural environmental efficiency declines. The reason lies in the difficulty of managing and realizing the maximum potential if the farmland per capita is too large [ 30 ]. There is a significant positive relationship between rural human capital and agricultural environmental efficiency at a 1% level.…”

Spatiotemporal characteristics and influencing factors of agricultural low-carbon economic efficiency in china

“…Therefore, some scholars gradually began to use the Super-SBM model to calculate agricultural total factor productivity, which breaks through the limitation of efficiency value 1 and improved accuracy. Liu et al (2020); Chi et al (2022) used the Super-SBM model to calculate agricultural ecological efficiency. calculated agricultural total factor productivity based on the Super-SBM model.…”

“…The ALEE index we used is a more comprehensive index, involving more comprehensive indicators. Most studies take agricultural land, machinery, labor, fertilizers, pesticides and film as input variables, and economic output and agricultural carbon emissions as output variables (Xiang et al, 2020;Chi et al, 2022). However, we add agricultural capital and agricultural irrigation input variables on this basis.…”

“…In general, ALEE in each province has a mutual spatial effect. That is, the geographical location of an area affects not only its own ALEE, but also the ALEE of adjacent areas (Chi et al, 2022). Global Moran's I statistic is a widely used spatial autocorrelation statistic, in its specific form as follows:…”

Spatial–Temporal pattern and evolutionary trend of eco-efficiency of real estate development in the yangtze river economic belt

“…This method does not need to weigh the original indicator and can preserve the original data to a large extent; thus, it has become the mainstream model for measuring efficiency (Ning et al, 2018). In terms of practical application, scholars have conducted numerous research about eco-efficiency in different application fields, including agriculture (Van Grinsven et al, 2019;Chi et al, 2022), industry (Lin et al, 2019;Chen and Lin, 2020), and tourism (Liu et al, 2017;Peng et al, 2017). The study areas cover cities, regions, and countries, focusing mainly on the evaluation indicator design, spatial-temporal evolutionary characteristics, and influencing factors of eco-efficiency (Moutinho et al, 2018;Golas et al, 2020;Xu et al, 2021).…”