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The Coupling and Coordination of Agricultural Carbon Emissions Efficiency and Economic Growth in the Yellow River Basin, China.
- Source :
- Sustainability (2071-1050); Jan2023, Vol. 15 Issue 2, p971, 20p
- Publication Year :
- 2023
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20711050
- Volume :
- 15
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Sustainability (2071-1050)
- Publication Type :
- Academic Journal
- Accession number :
- 161562654
- Full Text :
- https://doi.org/10.3390/su15020971