生态保护视角下的黄河流域高质量发展非均衡性及演进趋势分析

doi:10.12118/j.issn.1000－6060.2023.182

Abstract

Abstract:

Promoting high-quality development in the Yellow River Basin is a necessary path for China’s economic construction to comprehensively move into the high-quality development stage. Objectively evaluating the quality of basin development is the basis for effectively improving the quality of development. Therefore, based on the five development concepts and the connotation of high-quality development, this study constructs an evaluation index system of high-quality development in the Yellow River Basin, measures the high-quality development level of 60 prefecture-level cities in the Yellow River Basin and the 5 economic growth poles from 2010 to 2021 using the TOPSIS evaluation method, explores the regional unbalanced development and the sources of differences using the Dagum Gini coefficient and the variance decomposition method, and applies the Kernel density estimation method to analyze the evolutionary trend of regional high-quality development. The results are as follows: (1) During the sample period, the high-quality development of cities along the Yellow River shows an “N”-shaped change and an upward trend, with the provincial capitals and coastal and resource-based cities leading the development level in general. (2) The overall difference in the basin is narrowing; however, the gap and the trend of change are different within and between regions. (3) Intergroup disparity is the main spatial source of high-quality development differences, and differences in the supporting environment are the main structural source of differences in the basin and the five economic growth poles. (4) The evolutionary trends of the river basin and the five economic growth poles are different, and most of the regions continue to improve their high-quality development levels. Based on these results, suggestions are made to develop a good top-level design program, strengthen cooperation between regions, create special economic growth poles, avoid homogeneous competition, strengthen the radiation-driven role of central cities, and enhance the soft power of economic development.

Key words: ecological conservation, high-quality development, Dagum Gini coefficient, Kernel density estimation, Yellow River Basin

WANG JiaJia, ZHANG Ke. Unevenness and evolutionary trend of high-quality development in the Yellow River Basin from an ecological protection perspective[J].Arid Land Geography, 2024, 47(4): 695-706.

Figures/Tables 9

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References 26

[1]	葛金田. 黄河流域三大中心城市都市圈经济联系的时空演变特征[J]. 济南大学学报(社会科学版), 2023, 33(2): 71-81.
	[Ge Jintian. Spatial and temporal evolutionary characteristics of economic linkages in the metropolitan areas of three maior central cities in the Yellow River Basin[J]. Journal of University of Jinan (Social Science Edition), 2023, 33(2): 71-81. ]
[2]	任保平, 巩羽浩. 数字经济助推黄河流域高质量发展的路径与政策[J]. 经济问题, 2023(2): 15-22.
	[Ren Baoping, Gong Yuhao. The path and policy of digital economy promoting the high-quality development of the Yellow River Basin[J]. On Economic Problems, 2023(2): 15-22. ]
[3]	吕德胜, 王珏, 程振. 黄河流域数字经济、生态保护与高质量发展时空耦合及其驱动因素[J]. 经济问题探索, 2022(8): 135-148.
	[Lü Desheng, Wang Yu, Cheng Zhen. Spatio-temporal coupling and driving factors of digital economy, ecological protection and high-quality development in the Yellow River Basin[J]. Inquiry into Economic Issues, 2022(8): 135-148. ]
[4]	Fritz M, Koch M. Economic development and prosperity patterns around the world: Structural challenges for a global steady-state economy[J]. Global Environmental Change, 2016, 38(2): 41-48.
[5]	Barro R J, McCleary R M. Religion and economic growth across countries[J]. America Sociological Review, 2003, 68(5): 760-781.
[6]	任保平, 张倩. 黄河流域高质量发展的战略设计及其支撑体系构建[J]. 改革, 2019(10): 26-34.
	[Ren Baoping, Zhang Qian. The strategic design and supporting system construction of high-quality development in the Yellow River Basin[J]. Reform, 2019(10): 26-34. ]
[7]	Kim S E, Kim H, Chae Y. A new approach to measuring greengrowth: Application to the OECD and Korea[J]. Futures, 2014, 63(11): 37-48.
[8]	沙德春, 王茂林. 黄河流域高质量发展效率的演变及耦合协调水平[J]. 科技管理研究, 2022, 42(20): 80-88.
	[Sha Dechun, Wang Maolin. Evolution and coupling coordination level of high-quality development efficiency in the Yellow River Basin[J]. Science and Technology Management Research, 2022, 42(20): 80-88. ]
[9]	Knight J, Song L. The spatial contribution to income inequality in rural China[J]. Cambridge Journal of Economics, 1993, 17(2): 195-213.
[10]	任保平. 黄河流域生态保护和高质量发展的创新驱动战略及其实现路径[J]. 宁夏社会科学, 2022(3): 131-138.
	[Ren Baoping. The ecological protection and high-quality development innovation-driven strategy and its realization path in the Yellow River Basin[J]. Ningxia Social Sciences, 2022(3): 131-138. ]
[11]	Abdouli M, Hammami S. The dynamic links between environmental quality, foreign direct investment, and economic growth in the middle eastern and north African countries[J]. Journal of the Knowledge Economy, 2018, 9(1): 833-853.
[12]	Mlachila M, Tapsoba R, Tapsoba S J. A quality of growth index for developing countries: A proposal[J]. Social Indicators Research, 2017, 134(2): 675-710.
[13]	康晓虹, 朱天奇, 李文龙. 黄河中游经济区政府绿色投资对经济高质量发展的影响效应研究——基于金融效率的门槛效应[J]. 生态经济, 2023, 39(4): 51-57.
	[Kang Xiaohong, Zhu Tianqi, Li Wenlong. Research on the impact of government green investment on high-quality economic development in the middle Yellow River economic zone: Threshold effect based on financial efficiency[J]. Ecological Economy, 2023, 39(4): 51-57. ]
[14]	牛惠, 吴潇, 程慧娴, 等. 黄河下游沿黄地市农业高质量发展水平评价及比较研究[J]. 中国农业资源与区划, 2022, 43(10): 19-29.
	[Niu Hui, Wu Xiao, Cheng Huixian, et al. Evaluation and comparative study on high-quality agricultural development level of cities along the lower Yellow River[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2022, 43(10): 19-29. ]
[15]	刘娇妹, 王刚, 付晓娣, 等. 黄河流域河南段生态保护和高质量发展评价研究[J]. 人民黄河, 2023, 45(1): 1-7.
	[Liu Jiaomei, Wang Gang, Fu Xiaodi, et al. Evaluation of ecological protection and high-quality development level in Henan section of the Yellow River Basin[J]. Yellow River, 2023, 45(1): 1-7. ]
[16]	丁宁, 陈瑜, 张玉英, 等. 西北地区经济高质量发展水平测度及影响因素[J]. 商业经济研究, 2023(3): 178-181.
	[Ding Ning, Chen Yu, Zhang Yuying, et al. Measuring the level of quality economic development in northwest China and influencing factors[J]. Journal of Commercial Economics, 2023(3): 178-181. ]
[17]	董洁芳, 张凯莉, 屈学书, 等. 黄河流域城市生态福利绩效测算及驱动因素研究[J]. 干旱区地理, 2023, 46(5): 834-845.
	[Dong Jiefang, Zhang Kaili, Qu Xueshu, et al. Measurement and influencing factors of ecological well-being performance of cities in Yellow River Basin[J]. Arid Land Geography, 2023, 46(5): 834-845. ]
[18]	田小波, 胡静, 贾垚焱, 等. 高质量发展阶段旅游业发展水平空间分异成因探测——基于因素分解的黄河流域实证[J]. 干旱区地理, 2023, 46(3): 460-470.
	[Tian Xiaobo, Hu Jing, Jia Yaoyan, et al. Exploring the causes of spatial differentiation of tourism development level in the high-quality development stage: Empirical evidence of Yellow River Basin based on factor decomposition[J]. Arid Land Geography, 2023, 46(3): 460-470. ]
[19]	李刚, 李建平, 孙晓蕾, 等. 主客观权重的组合方式及其合理性研究[J]. 管理评论, 2017, 29(12): 17-26, 61.
	[Li Gang, Li Jianping, Sun Xiaolei, et al. Research on a combined method of subjective-objective weighing and the its rationality[J]. Management Review, 2017, 29(12): 17-26, 61. ]
[20]	刘筱慧, 王斌, 陈凯, 等. 基于密切值改进TOPSIS的低碳经济评价研究[J]. 技术经济, 2021, 40(12): 74-84.
	[Liu Xiaohui, Wang Bin, Chen Kai, et al. Research on the low-carbon economy evaluation based on osculating value improvement TOPSIS[J]. Journal of Technology Economics, 2021, 40(12): 74-84. ]
[21]	肖黎明, 张润婕, 肖沁霖. 中国农村生态宜居水平的动态演进及其地区差距——基于非参数估计与Dagum基尼系数分解[J]. 中国农业资源与区划, 2021, 42(3): 119-130.
	[Xiao Liming, Zhang Runjie, Xiao Qinlin. Dynamic evolution of ecological livable level in rural China and its regional disparity: An empirical study based on non-parametric estimation and Gagum Gini coefficient decomposition[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2021, 42(3): 119-130. ]
[22]	杨玉文, 吴爱玲. 民族地区碳排放驱动机制分析及趋势预测[J]. 云南民族大学学报(哲学社会科学版), 2020, 37(3): 88-95.
	[Yang Yuwen, Wu Ailing. A study of the influencing factors and trends of carbon emissions in ethnic minority regions of China[J]. Journal of Yunnan Minzu University (Philosophy and Social Sciences Edition), 2020, 37(3): 88-95. ]
[23]	梁秀霞, 刘浩天. 我国公共图书馆资源配置水平的地区差距及其分布动态演进——基于Dagum基尼系数分解与Kernel密度估计的实证研究[J]. 图书馆理论与实践, 2022(3): 7-16.
	[Liang Xiuxia, Liu Haotian. On the regional disparity and distribution dynamic evolution of resource allocation level of public libraries in China: An empirical study with Dagum Gini coeffcient decomposition and Kernel density estimation[J]. Library Theory and Practice, 2022(3): 7-16. ]
[24]	梁丹丹. 中国绿色高质量发展道路的理论内涵、科学依据与路径选择[J]. 重庆社会科学, 2022(12): 54-65.
	[Liang Dandan. Theoretical connotation, scientifc basis and path selection of green and high quality development path in China[J]. Chongqing Social Sciences, 2022(12): 54-65. ]
[25]	万广华, 蓝菁, 刘震. 基于人民幸福感的共同富裕指标体系构建及测度[J]. 经济科学, 2023(2): 5-25.
	[Wan Guanghua, Lan Jing, Liu Zhen. Construction and measurement of common prosperity evaluation index system based or people’s sense of happiness[J]. Economic Science, 2023(2): 5-25. ]
[26]	孙久文, 崔雅琪, 张皓. 黄河流域城市群生态保护与经济发展耦合的时空格局与机制分析[J]. 自然资源学报, 2022, 37(7): 1673-1690. doi: 10.31497/zrzyxb.20220702
	[Sun Jiuwen, Cui Yaqi, Zhang Hao. Spatio-temporal pattern and mechanism analysis of coupling between ecological protection and economic development of urban agglomerations in the Yellow River Basin[J]. Journal of Natural Resources, 2022, 37(7): 1673-1690. ] doi: 10.31497/zrzyxb.20220702

经济增长极	涵盖城市	GDP占比	人均GDP/元	三产比
山东半岛城市群	青岛市、济南市、威海市、烟台市、淄博市、潍坊市、东营市、泰安市、聊城市、枣庄市、临沂市、滨州市、日照市、济宁市、德州市、菏泽市	42.61	83737	7.26∶39.92∶52.18
中原城市群	郑州市、许昌市、洛阳市、焦作市、漯河市、三门峡市、新乡市、鹤壁市、开封市、平顶山市、周口市、商丘市、晋城市	23.26	66517	7.29∶43.37∶49.34
关中平原城市群	西安市、宝鸡市、渭南市、铜川市、商洛市、运城市、临汾市、咸阳市	11.90	57781	8.42∶40.13∶51.45
黄河几字弯都市圈	太原市、鄂尔多斯市、呼和浩特市、银川市、包头市、忻州市、晋中市、朔州市、榆林市、延安市、乌海市、吴忠市、中卫市、庆阳市、吕梁市、大同市、石嘴山市、乌兰察布市、巴彦淖尔市	19.20	85406	5.89∶51.82∶42.29
兰西城市群	兰州市、西宁市、海东市、白银市	3.03	53775	5.19∶35.02∶59.79

准则层	一级指标	二级指标	指标解释	指标属性	权重
生态保护	环境压力	单位GDP能耗	能源消耗量/GDP	-	0.03
		人均工业废水排放量	工业废水排放量/人口总数	-	0.03
		人均工业SO₂排放量	工业SO₂排放量/人口总数	-	0.04
		人均工业烟（粉）尘排放量	工业烟（粉）尘排放量/人口总数	-	0.03
		人均PM_2.5	PM_2.5/人口总数	-	0.03
		人均碳排放	碳排放/人口总数	-	0.03
	环境保护	一般工业固体废物综合利用率		+	0.04
		污水处理厂集中处理率		+	0.04
		生活垃圾无害化处理率		+	0.04
		人均公园绿地面积	公园绿地面积/人口总数	+	0.04
		城市公园个数		+	0.07
经济发展	市场环境	人均GDP		+	0.04
		FDI占比		+	0.04
		城乡收入差距		-	0.03
		金融环境	金融机构各项贷款余额	+	0.03
		区域市场需求规模	社会消费品总额/GDP	+	0.07
	支撑环境	创新创业指数		+	0.03
		万人专利授权量		+	0.04
		人均土地面积	行政面积/人口总数	+	0.03
		科学支出		+	0.05
		政府收入水平	一般公共预算收入	+	0.04
	民生环境	人均教育经费	教育经费/年末总人数	+	0.04
		万人拥有的医生数	（医生人数/年末总人数）×10000	+	0.04
		万人失业保险参保人数	（失业保险参保人数/年末总人数）×10000	+	0.04
		公共交通密度	客运量/年末总人数	+	0.04
		移动用户数量		+	0.04

等级	兰西城市群	黄河几字弯都市圈	关中平原城市群	中原城市群	山东半岛城市群
第1梯队	兰州市、西宁市	太原市、鄂尔多斯市、银川市、呼和浩特市	西安市	郑州市	青岛市、济南市、威海市、烟台市、泰安市
第2梯队		包头市、忻州市、庆阳市、晋中市	临汾市、宝鸡市	洛阳市、许昌市、焦作市、周口市、鹤壁市、漯河市、晋城市、新乡市、开封市、三门峡市	日照市、聊城市、东营市、枣庄市、临沂市、菏泽市、潍坊市、德州市、济宁市、滨州市
第3梯队	海东市、白银市	吕梁市、榆林市、朔州市、乌兰察布市、大同市、石嘴山市、巴彦淖尔市、乌海市、延安市、吴忠市、中卫市	咸阳市、渭南市、商洛市、运城市、铜川市	商丘市、平顶山市

Unevenness and evolutionary trend of high-quality development in the Yellow River Basin from an ecological protection perspective

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