河南省农业绿色低碳发展效率评价研究OA
Research on efficiency evaluation of agricultural green and low-carbon development in Henan Province
推动农业绿色低碳转型是兼顾国家粮食安全与生态可持续发展的关键举措.以河南省18个地级市为研究对象,基于2005-2024年面板数据,文章将农业碳排放作为非期望产出纳入分析框架,综合运用全局超效率SBM模型、Malmquist指数和Tobit模型,系统测算河南省20年农业绿色低碳发展效率情况,揭示其动态演化特征并识别关键影响因素.结果表明:(1)河南省农业绿色低碳发展效率总体呈现波动下行(2005-2010年)、缓慢修复(2011-2019年)、持续提升(2020-2024年)三个阶段,整体由低位分化逐步走向高位收敛;(2)动态分解结果显示,河南省农业绿色低碳发展效率增长核心依靠技术进步拉动,综合技术效率提升不足,技术推广、资源配置、经营管理层面存在明显约束;(3)影响因素检验表明,农业生产结构、土地规模化经营水平、有效灌溉面积、化肥使用效率均在1%的显著性水平上对低碳效率提升产生正向驱动作用,农村居民可支配收入在10%的显著性水平上正向驱动低碳效率提升,财政支农因资金投向错配在5%的显著性水平上抑制低碳效率提升,农业机械化水平表现不显著.政策启示:以产业结构优化、规模化与节水基础设施建设、农户增收扶持、财政支农结构调整、农机绿色转型为重点,协同推进河南省乃至全国同类粮食主产区实现稳产增效与农业低碳转型.
Promoting the green and low-carbon transformation of agriculture is a key pathway for achieving both national food security and ecological sustainability.Taking 18 prefecture-level cities in Henan Province as the research object,based on panel data from 2005 to 2024,this paper incorporated agricultural carbon emissions as an undesirable output into the analysis framework,and systematically evaluated the efficiency of agricultural green and low-carbon development in Henan Province over the past two decades by comprehensively using the global super-efficiency SBM model,Malmquist index and Tobit model to reveal its dynamic evolution characteristics and identify the key influencing factors.The results showed that:(1)The agricultural green and low-carbon development efficiency in Henan Province exhibited three distinct stages:fluctuating decline(2005-2010),slow recovery(2011-2019)and continuous improvement(2020-2024),and the overall pattern gradually shifted from low-level differentiation toward higher-level convergence.(2)The dynamic decomposition results indicated that the improvement in agricultural green and low-carbon development efficiency was primarily driven by technological progress,while the enhancement of comprehensive technical efficiency remained insufficient.Significant constraints still existed in technology diffusion,resource allocation and agricultural management.(3)The Tobit regression results revealed that agricultural production structure,land-scale operation level,effective irrigation area and fertilizer use efficiency significantly promoted agricultural green and low-carbon development efficiency at the 1%significance level.The disposable income of rural residents also exerted a significant positive effect at the 10%significance level.In contrast,agricultural fiscal support showed a significant negative effect at the 5%significance level due to mismatches in the allocation of financial resources.The level of agricultural mechanization was not significant.Policy implications:focus on optimizing agricultural production structure,promoting large-scale land operation,improving water-saving infrastructure,enhancing farmers'income support,adjusting the structure of agricultural financial investment and promoting the green transformation of agricultural machinery to achieve coordinated improvements in agricultural production efficiency and low-carbon transformation in Henan Province and other major grain-producing regions in China.
李士省;李建钦
西南林业大学经济管理学院 昆明 650224西南林业大学经济管理学院 昆明 650224
资源环境
农业绿色低碳发展SBM模型碳排放河南省
agricultural green low-carbon developmentsuper-efficiency SBM modelagricultural carbon emissionsHenan Province
《林业经济》 2026 (6)
30-43,14
国家社会科学基金项目"西南边疆生态戍边方略研究"(25XMZ038).
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