甘肃省农业绿色低碳转型的趋势预测、区域差异及组态路径研究

Research on trend forecasting, regional differences and grouping paths of agricultural green and low carbon transformation in Gansu Province

  • 摘要: 甘肃省面临水资源短缺、土壤侵蚀与生态压力等挑战, 复杂地理环境加剧农业困境, 需通过绿色低碳转型促进生态保护与高质量协同发展。本研究基于农业绿色低碳转型内涵, 构建甘肃省农业绿色低碳转型水平评价指标体系, 采用基于CRITIC-熵权组合赋权法的秩和比综合评价法、Hurst指数和泰尔指数测算并分析2008—2022年甘肃省农业绿色低碳转型、时空特征、变化趋势及区域差异, 以此为基础借助模糊集定性比较分析方法(fsQCA)解析甘肃省农业绿色低碳转型组态优化路径。研究结果表明: 1)2008—2022年间, 甘肃省农业绿色低碳转型整体水平呈缓慢增长态势, 年均增长率为0.19%, 区域分异显著(河西>陇中>陇东南), 存在“西高东低”的空间分布特征。2)甘肃省农业绿色低碳转型整体呈上升趋势, 但区际差异明显; 河西与陇中地区呈上升趋势, 陇东南地区呈下降趋势。3)甘肃省农业绿色低碳转型水平整体差异变化较小, 区间差异显著高于区内差异, 陇中地区差异最为突出, 河西相对均衡。4)存在技术环境支撑型、组织环境驱动型、协调融合驱动型3类高农业绿色低碳转型水平组态提升路径, 环境因素在所有路径中均作为核心条件出现。

     

    Abstract: Gansu Province, located in the arid and semi-arid region of northwestern China, has long faced multiple challenges, including water scarcity, increased soil erosion and fragile ecological carrying capacity, and its complex and diverse geography has further magnified the plight of agricultural development. Promoting the green and low-carbon transformation of agriculture and realizing the synergy between ecological environmental protection and high-quality development of agriculture have become the key paths for sustainable development in the region. Based on the connotation of agricultural green and low-carbon transformation, this study constructs the evaluation index system of agricultural green and low-carbon transformation level in Gansu Province, and adopts the rank-and-ratio comprehensive evaluation method based on the CRITIC-entropy weight combination empowerment method, the Hurst index, and the Terre index to measure and analyze the agricultural green and low-carbon transformation, spatial and temporal characteristics, trends and regional differences of agriculture in Gansu Province in the period of 2008−2022, based on which, with the help of the fuzzy set of indexes, we analyze the agricultural green and low-carbon transformation in Gansu Province. Based on this, the fuzzy set qualitative comparative analysis method (fsQCA) was used to analyze the optimization path of agricultural green low-carbon transition in Gansu Province. The results of the study show that: 1) during the period of 2008−2022, the overall level of agricultural green and low-carbon transformation in Gansu Province showed a slow growth trend, with an average annual growth rate of 0.19%, and significant regional differences (west of the river>Longzhong>south of the east of the Longnan), with a spatial distribution characteristic of “high in the west and low in the east”. Among them, the contribution of agricultural modernization and resource conservation dimension is relatively prominent, while the greening and low-carbon dimension is relatively weak and slow to improve, becoming a key bottleneck restricting the depth of the overall transformation. 2) The overall green and low-carbon transformation of Gansu Province's agriculture is on an upward trend, but the inter-regional differences are obvious; the west of the river and the Longzhong region is on an upward trend, and the south of the Longdong region is on a downward trend. 3)The overall difference in the level of agricultural green low-carbon transformation in Gansu Province is small, the inter-area difference is significantly higher than the intra-area difference, the most prominent difference in Longzhong area, and the relative balance in Hexi. 4) There are three types of high agricultural green low-carbon transition level grouping paths of technological environment support type, organizational environment driven type, coordination and integration driven type, and environmental factors appear as core conditions in all paths.

     

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