长江经济带粮食生态全要素生产率的时空特征
F062; 在资源环境约束趋紧、确保粮食安全底线多重压力下,厘清长江经济带粮食生态全要素生产率对深入推进长江大保护至关重要.基于2011-2020年长江经济带110个地级市数据,对粮食生产环节的碳排放、面源污染和生态价值进行测算,构建非期望产出框架下的投入产出体系,运用超效率Slacks-Based Measure模型和全局Malmquist-Luenberger指数考察长江经济带粮食生态全要素生产率的时空动态特征.研究发现:1)2012-2020年间长江经济带粮食生态全要素生产率总体呈增长态势,年均增长0.98％,且其增长主要源于技术进步而非技术效率提升所致.2)从时空特征看,2012-20...
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| Published in | 中国生态农业学报（中英文） Vol. 32; no. 2; pp. 344 - 354 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
三峡大学经济与管理学院 宜昌 443002
01.02.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2096-6237 |
| DOI | 10.12357/cjea.20230418 |
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| Abstract | F062; 在资源环境约束趋紧、确保粮食安全底线多重压力下,厘清长江经济带粮食生态全要素生产率对深入推进长江大保护至关重要.基于2011-2020年长江经济带110个地级市数据,对粮食生产环节的碳排放、面源污染和生态价值进行测算,构建非期望产出框架下的投入产出体系,运用超效率Slacks-Based Measure模型和全局Malmquist-Luenberger指数考察长江经济带粮食生态全要素生产率的时空动态特征.研究发现:1)2012-2020年间长江经济带粮食生态全要素生产率总体呈增长态势,年均增长0.98％,且其增长主要源于技术进步而非技术效率提升所致.2)从时空特征看,2012-2020年长江经济带各地级市的粮食生态全要素生产率改善趋势明显,粮食综合技术效率变化的空间格局变化趋势无明显规律.3)在研究期内上游地区的粮食生态全要素生产率平均最高,然后依次是中游地区、下游地区.3个区域的粮食生态全要素生产率都处于递增状态.因此,在建设农业强国的征程中,要高度重视农业技术进步并不断提升粮食生产技术效率,以此来稳定提升长江经济带粮食生态全要素生产率,同时要根据区域禀赋差异设计针对性提升策略. |
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| AbstractList | F062; 在资源环境约束趋紧、确保粮食安全底线多重压力下,厘清长江经济带粮食生态全要素生产率对深入推进长江大保护至关重要.基于2011-2020年长江经济带110个地级市数据,对粮食生产环节的碳排放、面源污染和生态价值进行测算,构建非期望产出框架下的投入产出体系,运用超效率Slacks-Based Measure模型和全局Malmquist-Luenberger指数考察长江经济带粮食生态全要素生产率的时空动态特征.研究发现:1)2012-2020年间长江经济带粮食生态全要素生产率总体呈增长态势,年均增长0.98％,且其增长主要源于技术进步而非技术效率提升所致.2)从时空特征看,2012-2020年长江经济带各地级市的粮食生态全要素生产率改善趋势明显,粮食综合技术效率变化的空间格局变化趋势无明显规律.3)在研究期内上游地区的粮食生态全要素生产率平均最高,然后依次是中游地区、下游地区.3个区域的粮食生态全要素生产率都处于递增状态.因此,在建设农业强国的征程中,要高度重视农业技术进步并不断提升粮食生产技术效率,以此来稳定提升长江经济带粮食生态全要素生产率,同时要根据区域禀赋差异设计针对性提升策略. |
| Abstract_FL | Environmental problems caused by increasing agricultural non-point source pollution and agricultural carbon emissions are one of the main challenges to sustainable agricultural development.Given the importance of grain production in agriculture,promot-ing low-carbon and green grain production is critical for coping with agricultural environmental threats.The Yangtze River Econom-ic Belt is the core area of grain production in China;therefore,accurately measuring the ecological total factor productivity of grain in the Yangtze River Economic Belt and systematically analyzing its temporal and spatial evolution characteristics can provide a data basis for promoting the sustainable development of agriculture in this region and realizing the goal of protecting the Yangtze River.Based on the grain production data of 110 prefecture-level cities in the Yangtze River Economic Belt from 2011 to 2020,this study first measured the agricultural carbon emissions,agricultural non-point source pollution,and ecological value of grain cultivation,then constructed a calculation model that included both desired and non-desired outputs to measure the ecological total factor pro-ductivity of grain and finally applied the super-efficient Slacks-Based Measure(SBM)model and the Global Malmquist-Luenberger total factor production index to calculate and analyze the ecological total factor productivity of grains in the Yangtze River Economic Belt.The results showed that:1)the ecological total factor productivity of grain in the Yangtze River Economic Belt showed an over-all growth trend from 2012 to 2020,with an average annual growth rate of 0.98％.The decomposition index of the ecological total factor productivity of grain showed that the technical efficiency was 0.9998,less than 1,whereas the technical progress index was 1.0273,greater than 1.The decomposition index indicated that the growth of the ecological total factor productivity of grain in the Yangtze River Economic Belt relied mainly on technical progress rather than technical efficiency.2)From the perspective of spati-otemporal characterization,the ecological total factor productivity of grain in all prefecture-level cities in the Yangtze River Econom-ic Belt achieved a more obvious improvement from 2012 to 2020,indicating that the green and sustainable development of grain in this region had achieved relatively good results.In terms of the decomposition indicators of the ecological total factor productivity of grain,the technical efficiency of all prefecture-level cities did not show a clear pattern,whereas the technical progress indexes of each prefecture-level city showed a continuous improvement trend.3)In terms of regional comparison,the ecological total factor pro-ductivity of grains in the upstream area of the Yangtze River was the highest during the study period,reaching 1.0189,followed by the midstream region(1.0111);the lowest was in the downstream region(1.0014).Nevertheless,the ecological total factor productiv-ity of grains increased in all three regions over time.Therefore,in the process of promoting sustainable grain production in the Yangtze River Economic Belt,it is essential to attach great importance to the role of technical progress and compensate for the short-comings of technical efficiency as soon as possible. |
| Author | 田红宇 苏治豪 刘行 |
| AuthorAffiliation | 三峡大学经济与管理学院 宜昌 443002 |
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| Author_FL | TIAN Hongyu LIU Xing SU Zhihao |
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| Author_xml | – sequence: 1 fullname: 田红宇 – sequence: 2 fullname: 刘行 – sequence: 3 fullname: 苏治豪 |
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| Keywords | 数据包络分析 Sustainability of grain production Ecological total factor productivity of grain 粮食生态全要素生产率 Yangtze River Economic Belt 可持续粮食生产 长江经济带 Data envelopment analysis |
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| Title | 长江经济带粮食生态全要素生产率的时空特征 |
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