Does regional economic development drive sustainable grain production growth in China? Evidence from spatiotemporal perspective on low-carbon total factor productivity

IF 5.4 2区 经济学 Q1 ECONOMICS Socio-economic Planning Sciences Pub Date : 2025-04-01 Epub Date: 2024-12-03 DOI:10.1016/j.seps.2024.102129
Ruixue Wang , Xiangzheng Deng , Yunxiao Gao , Jiancheng Chen
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Abstract

Contrary to conventional expectations, the impact of economic development on food green efficiency exhibits pronounced regional heterogeneity. This study utilizes total factor productivity (TFP) as a key metric, establishing a model for carbon emissions from grain production and developing a framework for measuring grain low-carbon TFP growth. Employing the undesirable super-slacks-based measure (SBM) and the Malmquist-Luenberger (ML) index, we assess the low-carbon TFP growth across 31 Chinese provinces from 2000 to 2021. The Dagum–Gini coefficient and variance decomposition are applied to analyze disparities from both regional and structural perspectives. An econometric model further validates the influence of economic development on low-carbon TFP growth. Our findings reveal that China's technical efficiency (TE) and low carbon TE initially show a declining trend, with the gap between them narrowing over time. The eastern region consistently demonstrates high low-carbon TE, while the northeastern region lags. All regions exhibit positive low-carbon TFP growth, with efficiency change (EC) significantly contributing to this growth. Although economic development generally fosters low-carbon TFP growth, marked regional heterogeneity persists. Interestingly, certain traditionally economically developed regions, such as the eastern region, exert a significantly negative impact on low-carbon TFP growth. Balancing economic development with low-carbon TFP growth remains an ongoing challenge that necessitates effective management strategies.
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区域经济发展是否推动了中国粮食产量的可持续增长?低碳全要素生产率的时空证据
与传统预期相反,经济发展对食品绿色效率的影响表现出明显的区域异质性。本研究以全要素生产率(TFP)为关键指标,建立了粮食生产碳排放模型,并构建了粮食低碳全要素生产率增长的测度框架。本文采用“不受欢迎的超宽松测度”(SBM)和Malmquist-Luenberger (ML)指数,对中国31个省份2000 - 2021年的低碳全要素生产率增长进行了评估。运用Dagum-Gini系数和方差分解从区域和结构两个角度分析差异。计量经济模型进一步验证了经济发展对低碳全要素生产率增长的影响。研究结果表明,中国的技术效率和低碳技术效率在初始阶段呈现下降趋势,两者之间的差距随着时间的推移逐渐缩小。东部地区持续呈现高低碳TE,而东北地区滞后。所有地区均呈现低碳全要素生产率正增长,效率变化(EC)对这一增长贡献显著。尽管经济发展总体上促进了低碳全要素生产率的增长,但明显的区域异质性依然存在。有趣的是,某些传统上经济发达的地区,如东部地区,对低碳全要素生产率增长产生了显著的负面影响。平衡经济发展与低碳全要素生产率增长仍然是一项持续的挑战,需要有效的管理战略。
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来源期刊
Socio-economic Planning Sciences
Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
9.40
自引率
13.10%
发文量
294
审稿时长
58 days
期刊介绍: Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.
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