田璞玉,张丹婷,周灿芳.粤港澳大湾区现代都市农业评价、区域差异及驱动因素研究[J].广东农业科学,2023,50(1):1-12 |
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粤港澳大湾区现代都市农业评价、区域差异及驱动因素研究 |
Study on Evaluation, Regional Differences and Driving Factors of Modern Urban Agriculture in Guangdong-Hong KongMacao Greater Bay Area |
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DOI:10.16768/j.issn.1004-874X.2023.01.001 |
中文关键词: 粤港澳大湾区 现代化 都市农业 区域差异 动态演进 |
英文关键词: Guangdong-Hong Kong-Macao Greater Bay Area modernization urban agriculture regional difference dynamic evolution |
基金项目:广 东 省 基 础 与 应 用 基 础 研 究 项 目(2021A1515110259); 广 东 省 自 然 科 学 基 金 面 上 项 目(2021A1515012218);广东省农业科学院产业经济与都市农业团队项目(202124TD);佛山市财政专项资金—2022
年高水平广东省农业科技示范市建设项目 |
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中文摘要: |
【目的】构建现代都市农业评价体系,测度粤港澳大湾区都市农业发展水平、区域差异,并分析其驱动因素,提出优化大湾区都市农业发展的路径,为大湾区等发达城市群都市农业高质量发展提供理论支撑。【方法】利用熵值法评价了 2013—2020 年粤港澳大湾区现代都市农业发展,使用 Dagum 基尼系数分解分析了区域差异,采用地理探测器方法对驱动因素进行辨析。【结果】粤港澳大湾区现代都市农业发展水平年平均增长率为 5.3%,广州为发展水平最高的城市。菜篮子保障能力发展平稳,农业生态与可持续发展水平波动上涨,三产融合水平发展较快,年平均增长率为 12.1%;农业先进生产要素集聚水平小幅增长,年平均增长率仅为 0.45%;现代农业经营水平增长较快,年平均增长率达 17.2%。区域总体基尼系数波动下降,差异主要来源为区域间差距。目前,耕地面积占比、三产占比和人均地区生产总值等是都市农业发展的重要驱动因素,各区域都市农业驱动因素有差别,且各因素的交互作用都属于“双因子增强型”,任意两个驱动因素共同作用时,都会增强其对都市农业分异的作用强度。【结论】样本观测期内,粤港澳大湾区现代都市农业总体呈增长趋势,区域间发展差距缩小,但城市间发展差异依然较大。建议从整体规划和区域短板补齐、现代都市农业发展要素和政策供给等方面加以改进。 |
英文摘要: |
【Objective】The study was conducted to build an evaluation system of modern urban agriculture, measure urban agriculture development level and differences in different areas in Guangdong-Hong Kong-Macao Greater Bay Area (GBA), analyse the driving factors, and put forward the optimization path of the development of urban agriculture in the GBA, providing theoretical support for the high-quality development of urban agriculture in developed urban agglomerations such as the GBA.【Method】The entropy method was used to evaluate the development of modern urban agriculture in the GBA from 2013 to 2020. The Dagum Gini coefficient decomposition was used to analyse the regional differences,and the geographical detector method was used to study the driving factors of urban agriculture development in the GBA.【Result】The average annual growth rate of modern urban agriculture development level in the GBA is 5.3%, and Guangzhou is the city with the highest development level. The vegetable-basket product support capability in the GBA develops stably, agricultural ecology and sustainable development level rises in volatility, and level of integrated development of three industries develops quickly, with the average annual growth rate of 12.1%. Agglomeration level of advanced agricultural production factors increases slightly, with an average annual growth rate of 0.45%, and modern agricultural management level increases rapidly, with an average annual growth rate of 17.2%. The overall Gini coefficient of the area decline in the volatility, and the differences mainly come from the gap among areas. Currently, proportion of cultivated land area, proportion of three industries and percapita GDP are important driving factors for the development of urban agriculture. The driving factors differ in areas, and the interaction of all factors is “double factor enhancement”, and any two driving factors acting together will enhance the intensity of their effects on urban agriculture differentiation.【Conclusion】During sample observation period, there is a growing trend of the modern urban agriculture in Guangdong-Hong Kong-Macao Greater Bay Area generally, but there are declining trends between the gap of regional development of urban agriculture and the gaps among cities are still large. It is recommended to improve the overall planning and regional shortcomings, the development factors of modern urban agriculture and policy supply. |
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