The Coupling and Coordination of Agricultural Carbon Emissions Efficiency and Economic Growth in the Yellow River Basin, China

Abstract

The balanced ecological protection and high-quality development of the Yellow River basin (YRB) has become a major national strategy in China in which low-carbon agricultural development in the region is crucial. In this context, studying the coupling and coordination between agricultural carbon emissions efficiency and economic growth in the YRB is of great significance to promote low-carbon, green, and sustainable agricultural development. Therefore, based on the data of 30 cities in the YRB from 2010 to 2020, the super-efficient slacks-based measure (SBM) model with non-expected output was employed to effectively measure the agricultural carbon emissions efficiency in the YRB. Subsequently, the coupling and coordination degree of agricultural carbon emissions efficiency and economic growth in the YRB was further calculated. Finally, the Dagum Gini coefficient and kernel density estimation methods were adopted in order to comprehensively examine the spatial differences, as well as the dynamic evolution pattern of the coupled coordination in the YRB. The results demonstrate that there is a significant spatial non-equilibrium in the coupling and coordination degree of agricultural carbon emission efficiency and economic growth in the YRB, in addition to the decreasing trend of coupling coordination during the sample observation period. As such, there is still considerable room for improvement of the efficiency of agricultural carbon emissions and the degree of coupling and coordination in the YRB. This study may serve as a reference for improving the low-carbon development of agriculture and economy in the YRB, providing theoretical guidance for solving the contradiction between ecological protection and economic development in this region.

Coordination analysis of flood-sediment transportation, eco-environment, and socio-economy coupling in the governance of the Yellow River Basin system

“…At present, research on the elements of the Yellow River Basin system mainly includes water, energy and food 63 , low-carbon development and eco-environment 65 , sustainable development and environmental protection 66 , water utilization, industrial development and ecological welfare 67 , urbanization and water resource 78 , urbanization and ecosystem service value 79 , ecology and economy 80 , resources, economy and ecosystem 81 , human settlement environment and tourism industry 82 , public health, ecological environment and economic development 83 . agricultural carbon emissions efficiency and economic growth 84 , tourism, ecological-environment and public service 85 . This study found that the CCD values in the FES system of the Yellow River Basin showed an increasing trend, ranging from 0.53 to 0.87 for flood-sediment transportation, eco-environment, and socio-economy.…”

Analysis of spatial and temporal pattern changes and spatial spillover effects of regional agricultural carbon emission efficiency-Taking the Yangtze River Economic Belt as an example

“…From 2010 to 2020, Henan Province's ACEE and degree of food security were assessed using Super-E cient SBM (based on the relaxation model) and the Comprehensive Index Method (Gu et al 2023). The ultrae cient slack measure (SBM) model of unexpected output was utilized to effectively measure the ACEE of the YRB based on data from 30 cities from 2010 to 2020 (Qing et al 2023). Furthermore, when considering the features of temporal and spatial evolution, spatial analysis methods, such as kernel density estimation and the primary purpose of spatial autocorrelation, are used to investigate the temporal and geographical variations and convergence of the ACEE.…”

Evaluation of Green Development Level of Mianyang Agriculture, Based on the Entropy Weight Method

“…DID models and comparative studies were employed [36]. To effectively measure agricultural carbon emission efficiency in the Yangtze River Delta, an ultra-efficient relaxation-based measurement (SBM) model with unexpected outputs was used [37]. Scholars have performed research from the national, provincial, or a localized development region, depending on the scope of the study.…”