Spatial correlations and driving mechanisms of low-carbon agricultural development in china

Abstract

Low-carbon agricultural development in China is a prerequisite for rural revitalization and a key to achieving socio-economic green transformation. This paper used agricultural data from 30 Chinese provinces from 2001 to 2020, considering both carbon emissions from farming and livestock, agricultural low-carbon total factor productivity (ALTFP) was measured using the RSBM-GML index. Based on this, the network characteristics and driving mechanisms of low-carbon synergistic development in agriculture were explored with the help of an improved gravity model and social network analysis, and the dominant provinces in low-carbon synergistic development in agriculture are identified. The study revealed that the spatially linked network of ALTFP in China exhibits multi-threaded characteristics of spillover to non-adjacent provinces, and the whole network has a sparse structure and hierarchy. The eastern regions such as Beijing, Tianjin, Shanghai, Jiangsu, and Zhejiang are at the core of the network, with closer ties to other regions and a stronger role in allocating resources. While the western regions such as Xinjiang, Qinghai, and Gansu are located at the periphery of the network, with weaker access to the resources. Meanwhile, the spatial proximity of provinces, the widening of differences in urbanization levels and differences in financial support for agriculture, and the narrowing of differences in the educational attainment of rural labor have significantly contributed to the formation of provincial spatial linkages. This study reveals that China’s government needs to give full play to the role of core regions as “leaders”, and promote the balanced and coordinated regional development of low-carbon agriculture in China. In addition, policy makers should further optimize the spatial allocation of agricultural resource elements between provinces. The findings of the study provide reference suggestions for the development of regionally differentiated agricultural low-carbon development plans.

Analyzing the Key Industrial Chain of Energy-Food Coupling in the Yangtze River Basin – Based on the Multi-Regional Input-Output Approach

“…As modern agriculture is an energy-intensive industry, energy consumption is spread across all aspects of grain production, so how to innovate agricultural production patterns and improve technology to better energy utilization in grain production has become a hot research topic for scholars [14,15]. In particular, under the dual-control targets for carbon emissions, the emissions caused by the energy consumption of agricultural machinery will become the biggest uncertainty of the agricultural carbon peak, so how to implement the "low carbon-driven green transformation of agriculture" and accelerate the integration of digital technologies and agriculture have become important explorations for the agricultural sector to practice the new development concept [16,17]. Du Xiangbei et al assessed the environmental footprint, energy balance, and cost-benefit analysis for wheat after rice production and pointed out that raised bed planting increases economic efficiency and energy use efficiency while reducing the environmental footprint for wheat after rice production and was shown to be an effective measure to achieve sustainable agricultural development and ensure national food security [18].…”

The Impact of Digital Financial Inclusion on Green and Low-Carbon Agricultural Development

“…The low-carbon development of agriculture in China is the premise of rural revitalization and the key to realizing the green transformation of the social economy [8]. The relevant literature mainly includes research related to digital inclusive finance, research related to the green and low-carbon development of agriculture, and research related to digital inclusive finance in the green and low-carbon development of agriculture.…”

The Spatio-Temporal Patterns and Influencing Factors of Different New Agricultural Business Entities in China—Based on POI Data from 2012 to 2021

“…At the same time, local governments in the eastern region have high fiscal revenues and abundant agricultural subsidies, which provide strong financial guarantees for the development of NABEs. In contrast, the western region has a weak economic base and lacks cohesion in economic development [29,30]. Coupled with an over-dependence on energy, the lack of investment in the agricultural field in the western region makes it difficult to engage in large-scale agricultural production, further widening the gap between agricultural development in the eastern and western regions [31].…”