Urbanization and low-carbon transformation in China's agriculture: An empirical investigation

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Xiao Lei , Xingru Chen , Nan Wang , Jiayi Wu , Bin Zhang
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引用次数: 0

Abstract

As one of the world's largest carbon emitters, China faces significant challenges in managing agricultural carbon emissions (ACE). Urbanization (UR), propelled by economic development, plays a crucial role in reducing carbon emissions by facilitating agricultural structural adjustments, enhancing production efficiency, and promoting technological advancements. This study employs nighttime light data to model UR, thus overcoming the problems in data acquisition, update and accuracy of traditional methods, comparing it with indicators such as built-up area, population and economy. The results demonstrate that both ACE and UR are spatially spread from east to west, with UR demonstrating a strong capacity to reduce ACE—a conclusion corroborated by robustness analysis. The positive impact of UR on emission reduction remains consistent across different regions and innovation levels. Furthermore, through intermediary mechanisms, UR enhances its emission reduction impact by stimulating technological innovation and high-quality economic transformation, generating positive spatial spillover effects in neighboring regions. This study provides valuable insights for government policy formulation, presents a fresh perspective on UR and agricultural carbon emissions reduction (ACER) strategies, and serves as a reference for local governments seeking to harness UR for technological innovation and economic development.
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来源期刊
Energy
Energy 工程技术-能源与燃料
CiteScore
15.30
自引率
14.40%
发文量
0
审稿时长
14.2 weeks
期刊介绍: Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics. The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management. Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.
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