High-quality development of marine fisheries provides an important advantage for China to build itself into a maritime power and implement the Blue Granary Plan effectively.Based on the concepts of‘new development’,...High-quality development of marine fisheries provides an important advantage for China to build itself into a maritime power and implement the Blue Granary Plan effectively.Based on the concepts of‘new development’,‘food security’,and the six dimensions of‘openness,innovation,coordination,green,sharing,and security’,in this study,we established an evaluation index system for the high-quality development of China’s marine fishery sector.We applied the entropy method to evaluate the high-quality development level of China’s marine fishery sector from 2000 to 2016 and explored its spatial and temporal evolution rules.Our results indicated that:1)from 2000 to 2016,China’s marine fishery sector was in the primary stage of high-quality development;2)spatially,the highquality development of marine fisheries showed an upward trend in all provinces,autonomous regions,and municipalities in the country(not including Hong Kong,Macao and Taiwan of China),and with time,the distribution pattern changed from single to multi-polarization;3)temporally,the development level of high-quality marine fisheries fluctuated during the study period.From 2000 to 2010,the growth rate in openness was relatively slow,but after 2010,it increased rapidly.Notably,innovation is the driving force for high-quality development.The green and security factors provide a solid guarantee for high-quality development.In the high-quality development of a region,economic development is better coordinated,and the distribution of benefits is more inclusive.This study provides a theoretical basis to formulate effective marine fishery policies for the high-quality development of the marine fishery sector in China.Exploring the high-quality development and evolution process of marine fishery is conducive to promoting the sustainable development of marine fishery industry,ensuring marine fishery food security,and alleviating global food crisis.展开更多
Green development of agriculture is important for achieving coordinated and high-quality regional development for China. Using provincial data from 1990 to 2020, this work explored the dynamics of agricultural green d...Green development of agriculture is important for achieving coordinated and high-quality regional development for China. Using provincial data from 1990 to 2020, this work explored the dynamics of agricultural green development efficiency of 31 provinces in China, its spatiotemporal characteristics, and its driving factors using a super-efficiency slacks-based measure(Super-SBM), the Malmquist productivity index(MPI), spatial autocorrelation, and a geographic detector. Results showed that the overall agricultural green development efficiency showed a U-shaped trend, suggesting a low level of efficiency. Although a gradient difference was visible among eastern, central, and western regions, the efficiency gap narrowed each year. Technological progress and efficiency both promoted agricultural green development efficiency, especially technological progress. Agricultural green development efficiency had significant spatial aggregation characteristics, but Moran’s Ⅰ result showed a downward trend from 2015 to 2020, indicating a risk of spatial dispersion in the later stage. The provinces with high agricultural green development efficiency were mainly concentrated in the eastern region, while those with low efficiency were concentrated in the central and western regions. Agricultural green development efficiency was influenced by various factors, which showed differences according to time and region. The impact of the labor force’s education level and technological progress increased during the study period, and significantly facilitated agricultural green development efficiency in the eastern region, while the central and western regions were still affected by the scale level and environmental regulation, reflecting the advantages of the eastern region in terms of economy and technology. In the future, strengthening agricultural scientific and technological innovation and deepening interprovincial cooperation can help further improve the level of green agricultural development. In addition, local governments should formulate more precise local agricultural support policies based on macro-level policies and local conditions.展开更多
采用含非期望产出的超效率SBM-DEA模型,对中国内地地区30个省(区、市)的乡村产业高质量发展效率做了测度研究。结果表明,2011—2022年中国乡村产业高质量发展效率整体表现出决策单元(Decision Making Units,简称DMU)有效特征;到2022年...采用含非期望产出的超效率SBM-DEA模型,对中国内地地区30个省(区、市)的乡村产业高质量发展效率做了测度研究。结果表明,2011—2022年中国乡村产业高质量发展效率整体表现出决策单元(Decision Making Units,简称DMU)有效特征;到2022年仅新疆、云南等地区仍位居较低水平区,且效率的空间差异来源,2011年主要由超变密度贡献,2012—2022年主要由区域间差异贡献。最后,采用Tobit模型实证分析发现,人均有效灌溉面积、人民币涉农信贷人均余额等因素均是影响中国乡村产业高质量发展效率的重要原因。为此,建议从提高中、西部地区乡村产业高质量发展效率、调整人民币涉农信贷的地区投入结构及更好发挥城镇化建设的支持带动作用等方面,不断提升中国乡村产业高质量发展效率。展开更多
基金Under the auspices of the National Natural Science Foundation of China(No.41976207,42076222,42071159)。
文摘High-quality development of marine fisheries provides an important advantage for China to build itself into a maritime power and implement the Blue Granary Plan effectively.Based on the concepts of‘new development’,‘food security’,and the six dimensions of‘openness,innovation,coordination,green,sharing,and security’,in this study,we established an evaluation index system for the high-quality development of China’s marine fishery sector.We applied the entropy method to evaluate the high-quality development level of China’s marine fishery sector from 2000 to 2016 and explored its spatial and temporal evolution rules.Our results indicated that:1)from 2000 to 2016,China’s marine fishery sector was in the primary stage of high-quality development;2)spatially,the highquality development of marine fisheries showed an upward trend in all provinces,autonomous regions,and municipalities in the country(not including Hong Kong,Macao and Taiwan of China),and with time,the distribution pattern changed from single to multi-polarization;3)temporally,the development level of high-quality marine fisheries fluctuated during the study period.From 2000 to 2010,the growth rate in openness was relatively slow,but after 2010,it increased rapidly.Notably,innovation is the driving force for high-quality development.The green and security factors provide a solid guarantee for high-quality development.In the high-quality development of a region,economic development is better coordinated,and the distribution of benefits is more inclusive.This study provides a theoretical basis to formulate effective marine fishery policies for the high-quality development of the marine fishery sector in China.Exploring the high-quality development and evolution process of marine fishery is conducive to promoting the sustainable development of marine fishery industry,ensuring marine fishery food security,and alleviating global food crisis.
基金supported by the Fundamental Research Funds for the Central Universities(21lzujbkydx010).
文摘Green development of agriculture is important for achieving coordinated and high-quality regional development for China. Using provincial data from 1990 to 2020, this work explored the dynamics of agricultural green development efficiency of 31 provinces in China, its spatiotemporal characteristics, and its driving factors using a super-efficiency slacks-based measure(Super-SBM), the Malmquist productivity index(MPI), spatial autocorrelation, and a geographic detector. Results showed that the overall agricultural green development efficiency showed a U-shaped trend, suggesting a low level of efficiency. Although a gradient difference was visible among eastern, central, and western regions, the efficiency gap narrowed each year. Technological progress and efficiency both promoted agricultural green development efficiency, especially technological progress. Agricultural green development efficiency had significant spatial aggregation characteristics, but Moran’s Ⅰ result showed a downward trend from 2015 to 2020, indicating a risk of spatial dispersion in the later stage. The provinces with high agricultural green development efficiency were mainly concentrated in the eastern region, while those with low efficiency were concentrated in the central and western regions. Agricultural green development efficiency was influenced by various factors, which showed differences according to time and region. The impact of the labor force’s education level and technological progress increased during the study period, and significantly facilitated agricultural green development efficiency in the eastern region, while the central and western regions were still affected by the scale level and environmental regulation, reflecting the advantages of the eastern region in terms of economy and technology. In the future, strengthening agricultural scientific and technological innovation and deepening interprovincial cooperation can help further improve the level of green agricultural development. In addition, local governments should formulate more precise local agricultural support policies based on macro-level policies and local conditions.
文摘采用含非期望产出的超效率SBM-DEA模型,对中国内地地区30个省(区、市)的乡村产业高质量发展效率做了测度研究。结果表明,2011—2022年中国乡村产业高质量发展效率整体表现出决策单元(Decision Making Units,简称DMU)有效特征;到2022年仅新疆、云南等地区仍位居较低水平区,且效率的空间差异来源,2011年主要由超变密度贡献,2012—2022年主要由区域间差异贡献。最后,采用Tobit模型实证分析发现,人均有效灌溉面积、人民币涉农信贷人均余额等因素均是影响中国乡村产业高质量发展效率的重要原因。为此,建议从提高中、西部地区乡村产业高质量发展效率、调整人民币涉农信贷的地区投入结构及更好发挥城镇化建设的支持带动作用等方面,不断提升中国乡村产业高质量发展效率。
