文章摘要
基于动态QCA东北地区耕地利用生态效率测度及影响因素研究
Measurement of eco-efficiency of cultivated land use and influencing factors in northeast China based on dynamic QCA
Received:August 28, 2024  
DOI:10.13254/j.jare.2024.0676
中文关键词: 东北地区;耕地利用生态效率(ECLU);区域差异;动态QCA
英文关键词: northeast China;eco-efficiency of cultivated land use(ECLU);regional difference;dynamic QCA
基金项目:黑龙江省自然科学基金优青项目(YQ2021D009);哈尔滨师范大学科技创新攀登计划国家自然科学基金培育项目(XPPY202203);黑龙江省省属高等学校基本科研业务费项目(2022-KYYWF-0160)
Author NameAffiliationE-mail
WU Xinyu School of Economics and Management, Harbin Normal University, Harbin 150025, China  
CUI Jia School of Economics and Management, Harbin Normal University, Harbin 150025, China ccc13936400919@163.com 
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中文摘要:
      为揭示东北地区近20年耕地利用生态效率的时空变化规律及区域差异,深入考察影响耕地利用生态效率水平的多元组合路径,本研究基于2001—2021年东北地区耕地利用面板数据,运用超效率SBM模型和Dagum基尼系数评价耕地利用生态效率水平与区域差异,并使用动态QCA方法从时间效应和个体效应出发,探究耕地利用生态效率影响因素组态效应的变化。结果表明:2001—2021年东北地区耕地利用生态效率波动上升,年均增长率为 1.01%,黑龙江效率水平最高(1.049),吉林效率水平最低(0.897),各地市耕地利用生态效率存在空间非均衡性,呈现东北高、西南低的整体态势;东北地区总体基尼系数整体较大,且大致呈波浪形的变化趋势,超变密度是东北地区耕地利用生态效率差异的主要来源;耕地利用生态效率是多因素共同作用的结果,单个因素无法单独发挥作用来实现高耕地利用生态效率,存在多因素驱动型、自然-经济条件主导型和农业生产-经济条件主导型3种模式驱动高耕地利用生态效率水平,且各城市在耕地绿色发展中并不遵循一致的组态路径。研究表明,东北地区耕地利用生态效率水平整体较高,耕地利用生态效率受自然-经济-农业生产等多因素协同驱动,地方政府应该注重发挥多重因素的协同作用,制定差异化政策措施,全面推动耕地利用生态效率提升。
英文摘要:
      To reveal the spatio-temporal change pattern and regional differences in the ecological efficiency of cropland utilization in the northeast China in the past 20 years, and examine in depth the multifaceted combinatorial paths affecting the level of eco-efficiency of cultivated land use, based on the panel data of cropland utilization in the region from 2001 to 2021, the study evaluated the level of ecoefficiency of cultivated land use and regional differences by using the super-efficiency SBM model and Dagum; and used the dynamic QCA method to explore the changes of the group effect of factors influencing the eco-efficiency of cultivated land use in terms of the time effect and the individual effect. From 2001 to 2021, the eco-efficiency of cultivated land use in the region fluctuated and risesd, average annual growth rate of 1.01%, with the highest level of efficiency in Heilongjiang(1.049)and the lowest in Jilin(0.897), and the eco-efficiency of cropland use in each city had spatial imbalance, presenting the overall trend of high in the northeast and low in the southwest. The overall Gini coefficient in the region was large, and the trend was roughly in wave type, hypervariable density was the main source of differences in the ecological efficiency of cultivated land use in the region. The ecological efficiency of cultivated land use was the result of the joint action of multiple factors, and individual factors could not play a role in realizing the ecological efficiency of high cultivated land use. There were three models of multi-factor-driven model, natural-economic conditions dominant and agricultural production-economic conditions dominant models could be driven by the high cultivated land use eco-efficiency level, and the cities in cultivated land green development did not follow a consistent grouping path. The level of eco-efficiency of cultivated land use in the northeast region was generally high, and eco-efficiency of cultivated land use was driven by the synergy of multiple factors such as nature-economy-agricultural production. Local governments should focus on exerting the synergy of multiple factors, formulating differentiated policies and measures, comprehensively promoting the enhancement of the eco-efficiency of cultivated land use, and promoting the green transformation of cultivated land use.
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