中国民族地区高质量发展空间演变及其影响机理

doi:10.12118/j.issn.1000-6060.2023.405

Abstract

Abstract:

Achieving high-quality development in ethnic minority areas of China is essential for promoting co-ordinated regional development and building a modern socialist country. Considering eight ethnic provinces and autonomous regions as research areas, this study constructs an evaluation index system for the high-quality development of ethnic minority areas. We apply the entropy weight TOPSIS method, geographical detector, and other methods to study the spatial evolution pattern and influence mechanism of high-quality development in ethnic areas from 2000 to 2020. The results show that: (1) High-quality development in ethnic minority areas has generally maintained an upward trend from 2000 to 2020. From the perspective of spatial differentiation, inter-regional distribution is “high in northwest China, low in south China, southwest China, and Qinghai-Tibet”, interprovincial distribution is “high in north China and low in south China”, and intraprovincial distribution is “polarization and equilibrium coexist”. (2) The high-quality growth rate showed a spatial trend from “high in the northwest and southwest China, low in Qinghai-Tibet and south China” to “high in southwest China and Qinghai-Tibet, low in south and northwest China”. (3) The spatial evolution of high-quality development in minority areas will change from “low level-low growth, low level-medium growth, and medium level-low growth” to “low level-medium growth, low level-high growth, and medium level-medium growth”. (4) The high-quality development level of ethnic minority areas is most affected by investment intensity, followed by income level and government regulation.

Key words: ethnic areas, high-quality development, spatial evolution, geographic detector, influence mechanism

LI Junjia, ZHAO Meifeng. Spatial evolution and influencing mechanism of high-quality development in ethnic minority areas of China[J].Arid Land Geography, 2024, 47(3): 496-505.

Figures/Tables 8

Tab. 1

Fig. 1

Tab. 2

Spatial types and basic characteristics of high-quality development in ethnic minority areas during 2000—2010 and 2010—2020"

序号	空间类型	2000—2010年		2010—2020年
序号	空间类型	涉及城市（数量）	分布特征	涉及城市（数量）	分布特征
Ⅰ1	高水平-高增长型	包头、乌海、鄂尔多斯、阿拉善盟（4）	“团块状”分布在蒙西资源型城市	-	-
Ⅰ2	高水平-中增长型	海西州（1）	仅分布在青海西部资源型城市	-	-
Ⅰ3	高水平-低增长型	克拉玛依（1）	仅分布在北疆资源型城市	克拉玛依、包头、乌海、鄂尔多斯、阿拉善盟、海西州（6）	“团块+零星状”分布在蒙西、北疆、青海西部等资源型城市
Ⅱ1	中水平-高增长型	呼和浩特、锡林郭勒、通辽（3）	“零星状”分布在内蒙古省会和蒙东地区等	哈密、博尔塔拉蒙古自治州、迪庆州、伊犁哈萨克自治州直属县市（4）	“零星状”分布在北疆农牧业地区和旅游城市等
Ⅱ2	中水平-中增长型	呼伦贝尔、巴彦淖尔、防城港、西宁、石嘴山、昌吉回族自治州、博尔塔拉蒙古自治州（7）	“零星状”分布在青海省会城市和西北民族地区资源型城市等	拉萨、吐鲁番、西宁、昌吉回族自治州、昆明、玉溪、南宁、柳州、北海、贵阳、乌兰察布、林芝、塔城（13）	“团块+零星状”分布在新疆北部、西藏东南部、云南中部及广西中部等省会城市和工业城市等
Ⅱ3	中水平-低增长型	南宁、柳州、北海、贵阳、昆明、玉溪、拉萨、银川、乌鲁木齐、吐鲁番、哈密、巴音郭楞蒙古自治州（12）	“团块+零星状”分布在新疆东南部资源型城市、广西中部工业城市及省会城市	呼和浩特、呼伦贝尔、巴彦淖尔、锡林郭勒、防城港、银川、石嘴山、乌鲁木齐、巴音郭楞蒙古自治州（9）	“零星状”分布在内蒙古、宁夏北部及新疆东南部
Ⅲ1	低水平-高增长型	乌兰察布、赤峰、崇左、六盘水、毕节、铜仁、黔西南州、黔东南州、固原（9）	“零星状”分布在贵州东部和西部及蒙东地区	遵义、安顺、毕节、铜仁、黔西南州、黔东南州、黔南州、保山、昭通、丽江、普洱、临沧、楚雄州、红河州、文山州、大理州、怒江州、昌都、山南、那曲、海东、固原、克孜勒苏柯尔克孜自治州、和田（24）	“团块+零星状”分布在贵州、云南及西藏东北部等农牧业地区和旅游城市等
Ⅲ2	低水平-中增长型	迪庆州、兴安、梧州、钦州、贵港、玉林、百色、河池、来宾、遵义、安顺、黔南州、曲靖、丽江、普洱、红河州、文山州、怒江州、日喀则、山南、阿里、海东、海南州、玉树州、海北州、中卫、克孜勒苏柯尔克孜自治州、喀什、和田、阿勒泰（30）	“条带+零星状”分布在新疆西南部、西藏西南部及青海东南部等农牧业地区，云南西北部和东南部、贵州中部、广西东部和西部等旅游城市	赤峰、兴安、桂林、梧州、钦州、贵港、玉林、百色、贺州、河池、来宾、崇左、六盘水、曲靖、西双版纳、德宏州、日喀则、阿里、海南州、果洛州、玉树州、海北州、黄南州、吴忠、中卫、阿克苏、喀什、阿勒泰（28）	“团块+零星状”分布在宁夏中部、青海东南部、西藏西南部等农牧业地区及广西东部和西部旅游城市等
Ⅲ3	低水平-低增长型	林芝、伊犁哈萨克自治州直属县市、塔城、桂林、贺州、保山、昭通、临沧、楚雄州、西双版纳、大理州、德宏州、昌都、那曲、果洛州、黄南州、吴忠、阿克苏（18）	“团块+零星状”分布在新疆西部、青海西南部、西藏东北部、云南中部等农牧业地区	通辽（1）	仅分布在蒙东地区

Tab. 2

Fig. 2

Tab. 3

Tab. 4

Tab. 5

Fig. 3

References 28

[1]	魏敏, 李书昊. 新时代中国经济高质量发展水平的测度研究[J]. 数量经济技术经济研究, 2018, 35(11): 3-20.
	[Wei Min, Li Shuhao. Study on the measurement of economic high-quality development level in China in the new era[J]. Journal of Quantitative & Technological Economics, 2018, 35(11): 3-20.]
[2]	方大春, 马为彪. 中国省际高质量发展的测度及时空特征[J]. 区域经济评论, 2019(2): 61-70.
	[Fang Dachun, Ma Weibiao. Study on the measurement of China's inter-provincial high-quality development and its spatial-temporal characteristics[J]. Regional Economic Review, 2019(2): 61-70.]
[3]	郭芸, 范柏乃, 龙剑. 我国区域高质量发展的实际测度与时空演变特征研究[J]. 数量经济技术经济研究, 2020, 37(10): 118-132.
	[Guo Yun, Fan Bonai, Long Jian. Practical evaluation of China's regional high-quality development and its spatiotemporal evolution characteristics[J]. Journal of Quantitative & Technological Economics, 2020, 37(10): 118-132.]
[4]	习近平. 以铸牢中华民族共同体意识为主线推动新时代党的民族工作高质量发展[J]. 中国民族, 2021(8): 4-7.
	[Xi Jinping. To cast a strong sense of community of the Chinese nation as the main line and to promote the high-quality development of the Party's ethnic work in the new era[J]. China's Ethnic Groups, 2021(8): 4-7.]
[5]	金碚. 关于“高质量发展”的经济学研究[J]. 中国工业经济, 2018(4): 5-18.
	[Jin Bei. Study on the “high-quality development” economics[J]. China Industrial Economics, 2018(4): 5-18.]
[6]	赵剑波, 史丹, 邓洲. 高质量发展的内涵研究[J]. 经济与管理研究, 2019, 40(11): 15-31.
	[Zhao Jianbo, Shi Dan, Deng Zhou. A framework of China's high-quality economic development[J]. Research on Economics and Management, 2019, 40(11): 15-31.]
[7]	张军扩, 侯永志, 刘培林, 等. 高质量发展的目标要求和战略路径[J]. 管理世界, 2019, 35(7): 1-7.
	[Zhang Junkuo, Hou Yongzhi, Liu Peilin, et al. The goal requirements and strategic path of high-quality development[J]. Journal of Management World, 2019, 35(7): 1-7.]
[8]	张新成, 高楠, 王琳艳, 等. 红色旅游高质量发展评价指标体系与培育路径研究——以红色旅游城市为例[J]. 干旱区地理, 2022, 45(6): 1927-1937.
	[Zhang Xincheng, Gao Nan, Wang Linyan, et al. Evaluation index system and cultivation path of high-quality development of red tourism: A case of red tourism cities[J]. Arid Land Geography, 2022, 45(6): 1927-1937.]
[9]	孙久文, 蒋治. 中国沿海地区高质量发展的路径[J]. 地理学报, 2021, 76(2): 277-294. doi: 10.11821/dlxb202102003
	[Sun Jiuwen, Jiang Zhi. Paths of high-quality development in China's coastal areas[J]. Acta Geographica Sinica, 2021, 76(2): 277-294.] doi: 10.11821/dlxb202102003
[10]	王江涛, 黄立玮, 周维第. 我国高质量发展水平的演变特征及其影响因素识别[J]. 统计与决策, 2023, 39(4): 95-100.
	[Wang Jiangtao, Huang Liwei, Zhou Weidi. Evolution characteristics and influencing factor identification of China's high-quality development level[J]. Statistics & Decision, 2023, 39(4): 95-100.]
[11]	陈明华, 王哲, 谢琳霄, 等. 中国中部地区高质量发展的时空演变及形成机理[J]. 地理学报, 2023, 78(4): 859-876. doi: 10.11821/dlxb202304006
	[Chen Minghua, Wang Zhe, Xie Linxiao, et al. The spatiotemporal pattern evolution and formation mechanism of high-quality development in central China[J]. Acta Geographica Sinica, 2023, 78(4): 859-876.] doi: 10.11821/dlxb202304006
[12]	李海英. 民族地区新型城镇化高质量发展研究[J]. 企业经济, 2019, 38(12): 147-153.
	[Li Haiying. Research on high-quality development of new urbanization in ethnic minority areas[J]. Enterprise Economy, 2019, 38(12): 147-153.]
[13]	熊斌, 任丽萍. 边疆民族地区经济高质量发展水平测度与差异分析[J]. 边疆经济与文化, 2022(9): 36-41.
	[Xiong Bin, Ren Liping. Measurement and difference analysis of economic high-quality development level in frontier ethnic areas[J]. The Border Economy and Culture, 2022(9): 36-41.]
[14]	马胜春, 张天宇, 高睿. 新发展理念下民族地区经济高质量增长的动力解析及路径选择[J]. 经济师, 2022(3): 11-14, 18.
	[Ma Shengchun, Zhang Tianyu, Gao Rui. The dynamic analysis and path choice of high quality economic growth in minority areas under the new development concept[J]. China Economist, 2022(3): 11-14, 18.]
[15]	谢莹. 我国西南民族地区生态文明建设路径研究——评《中国民族地区生态文明高质量发展研究》[J]. 生态经济, 2022, 38(9): 230-231.
	[Xie Ying. Study on the path of ecological civilization construction in China's southwest minority areas: A review of the study on the high-quality development of ecological civilization in China's minority areas[J]. Ecological Economy, 2022, 38(9): 230-231.]
[16]	董建红, 张志斌, 刘奔腾, 等. “三生”空间视角下西北地区生态环境质量分异机制的地理探测[J]. 干旱区地理, 2023, 46(4): 515-526.
	[Dong Jianhong, Zhang Zhibin, Liu Benteng, et al. Geographical exploration of the spatial differentiation mechanism of ecoenvironmental quality in northwest China from the perspective of “production-living-ecological” space[J]. Arid Land Geography, 2023, 46(4): 515-526.]
[17]	陈丽芳, 董蕾. 乡村振兴背景下少数民族地区文化产业高质量发展的路径[J]. 云南民族大学学报(哲学社会科学版), 2021, 38(4): 46-52.
	[Chen Lifang, Dong Lei. Approaches to high-quality development of cultural industry in ethnic minority areas against the background of rural revitalization[J]. Journal of Yunnan Minzu University (Philosophy and Social Sciences Edition), 2021, 38(4): 46-52.]
[18]	周丽, 蔡张瑶, 黄德平. 西部民族地区乡村旅游高质量发展的现实需求、丰富内涵和实现路径[J]. 农村经济, 2021(6): 137-144.
	[Zhou Li, Cai Zhangyao, Huang Deping. The realistic demand, rich connotation and realization path of high-quality development of rural tourism in western minority areas[J]. Rural Economy, 2021(6): 137-144.]
[19]	曹开军, 商宁, 王秘秘. 中国西北五省乡村旅游重点村时空分布格局与可达性分析[J]. 干旱区地理, 2023, 46(7): 1196-1205.
	[Cao Kaijun, Shang Ning, Wang Mimi. Spatial distribution pattern and accessibility analysis of the key rural tourism villages in the five northwestern provinces of China[J]. Arid Land Geography, 2023, 46(7): 1196-1205.]
[20]	方创琳, 刘海猛, 罗奎, 等. 中国人文地理综合区划[J]. 地理学报, 2017, 72(2): 179-196. doi: 10.11821/dlxb201702001
	[Fang Chuanglin, Liu Haimeng, Luo Kui, et al. Comprehensive regionalization of human geography in China[J]. Acta Geographica Sinica, 2017, 72(2): 179-196.] doi: 10.11821/dlxb201702001
[21]	李梦欣, 任保平. 新时代中国高质量发展的综合评价及其路径选择[J]. 财经科学, 2019(5): 26-40.
	[Li Mengxin, Ren Baoping. Comprehensive evaluation and path choice of China's high-quality development in the new era[J]. Finance & Economics, 2019(5): 26-40.]
[22]	侯祥鹏. 中国城市群高质量发展测度与比较[J]. 现代经济探讨, 2021(2): 9-18.
	[Hou Xiangpeng. Measurement and comparison of high-quality development of urban agglomerations in China[J]. Modern Economic Research, 2021(2): 9-18.]
[23]	庞如超, 韩钰, 赵金发. 中国地区数字经济发展质量评价研究[J]. 浙江档案, 2021(1): 41-43.
	[Pang Ruchao, Han Yu, Zhao Jinfa. Research on quality evaluation of regional digital economy development in China[J]. Zhejiang Archives, 2021(1): 41-43.]
[24]	Wang J F, Li X H, Christakos G, et al. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region, China[J]. International Journal of Geographical Information Science, 2010, 24(1): 107-127. doi: 10.1080/13658810802443457
[25]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	[Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.] doi: 10.11821/dlxb201701010
[26]	张若琰, 刘卫东, 宋周莺. 基于地理探测器的中国国家级开发区时空演化过程及其驱动力研究[J]. 自然资源学报, 2021, 36(10): 2672-2683. doi: 10.31497/zrzyxb.20211015
	[Zhang Ruoyan, Liu Weidong, Song Zhouying. Spatio-temporal evolution and driving factors of national development zones of China based on geodetectors[J]. Journal of Natural Resources, 2021, 36(10): 2672-2683.] doi: 10.31497/zrzyxb.20211015
[27]	张国俊, 王运喆, 陈宇, 等. 中国城市群高质量发展的时空特征及分异机理[J]. 地理研究, 2022, 41(8): 2109-2124. doi: 10.11821/dlyj020210799
	[Zhang Guojun, Wang Yunzhe, Chen Yu, et al. Spatiotemporal characteristics and differentiation mechanism of high-quality development of urban agglomerations in China[J]. Geographical Research, 2022, 41(8): 2109-2124.] doi: 10.11821/dlyj020210799
[28]	李汝资, 黄晓玲, 刘耀彬. 2010—2020年中国城镇化的时空分异及影响因素[J]. 地理学报, 2023, 78(4): 777-791. doi: 10.11821/dlxb202304001
	[Li Ruzi, Huang Xiaoling, Liu Yaobin. Spatio-temporal differentiation and influencing factors of China's urbanization from 2010 to 2020[J]. Acta Geographica Sinica, 2023, 78(4): 777-791.] doi: 10.11821/dlxb202304001

目标层	准则层	指标层	权重
高质量发展	创新	R&D经费支出占GDP比重/%	0.068
		每万人专利申请受理量/件·(10⁴人)^-1	0.105
		每万人专利授权量/件·(10⁴人)^-1	0.098
		每万人高等学校在校学生数/人·(10⁴人)^-1	0.109
	协调	人均GDP/元·人^-1	0.051
		城镇化率/%	0.019
		第三产业占比/%	0.007
		城镇居民人均可支配收入/元·人^-1	0.035
		农村居民人均可支配收入/元·人^-1	0.044
		人均地方财政收入/元·人^-1	0.065
	绿色	人均公园绿地面积/m²·人^-1	0.018
		建成区绿色覆盖率/%	0.013
		生活垃圾无害处理率/%	0.006
	开放	进出口总额占GDP比重/%	0.111
	开放	实际利用外资占GDP比重/%	0.101
	共享	公路密度/km·(10² km²)^-1	0.039
		每万人拥有医生数/人·(10⁴人)^-1	0.019
		每百人公共图书馆藏书量/本·(10²人)^-1	0.041
		人均居民储蓄存款余额/元·人^-1	0.051

维度	影响因子	q值	P	解释力排序
自然环境	人口密度（X₁）	0.02	0.446	-
政府调控	人均财政支出（X₂）	0.57	0.000^***	3
收入水平	人均职工工资（X₃）	0.58	0.000^***	2
教育水平	高等教育教师占比（X₄）	0.27	0.000^***	4
投资强度	人均全社会固定资产投资（X₅）	0.70	0.000^***	1

探测因子	2000年		2010年		2020年
探测因子	q值	P	q值	P	q值	P
X₁	0.02	0.791	0.02	0.804	0.06	0.852
X₂	0.38	0.000^***	0.25	0.027^*	0.07	0.734
X₃	0.23	0.047^**	0.20	0.007^**	0.03	0.703
X₄	0.32	0.000^***	0.15	0.137	0.24	0.043^**
X₅	0.85	0.000^***	0.71	0.000^***	0.26	0.017^**

探测因子	西北民族地区		青藏地区		西南民族地区		华南民族地区
探测因子	q值	P	q值	P	q值	P	q值	P
X₁	0.04	0.606	0.10	0.762	0.07	0.733	0.06	0.736
X₂	0.65	0.000^***	0.53	0.000^***	0.77	0.000^***	0.83	0.000^***
X₃	0.67	0.000^***	0.62	0.000^***	0.84	0.000^***	0.84	0.000^***
X₄	0.27	0.000^***	0.51	0.100^*	0.41	0.000^***	0.34	0.058^*
X₅	0.79	0.000^***	0.77	0.000^***	0.73	0.000^***	0.91	0.000^***

Spatial evolution and influencing mechanism of high-quality development in ethnic minority areas of China

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 8

References 28

Related Articles 15

Metrics

Comments

Recommended 0

[1]	MU Shilei, YANG Yuhuan, Wuritaoketaohu . Spatial differentiation pattern and influencing factors of national desert (rocky desert) parks [J]. Arid Land Geography, 2024, 47(2): 356-368.
[2]	LI Jianhui, CHEN Lin, DANG Zheng. Spatial pattern and influencing factors of patriotic education bases in the Yellow River Basin [J]. Arid Land Geography, 2023, 46(9): 1536-1544.
[3]	ZHANG Hao, HAN Zenglin, QIAO Guorong, WANG Hui, WANG Hongye, DUAN Ye. Patterns and influencing factors of tourism economic linkages between cities in the Yellow River Basin [J]. Arid Land Geography, 2023, 46(8): 1344-1354.
[4]	KANG Ligang, CAO Shengkui, CAO Guangchao, YAN Li, CHEN Lianxuan, LI Wenbin, ZHAO Haoran. Spatiotemporal variation of land surface temperature in Qinghai Lake Basin [J]. Arid Land Geography, 2023, 46(7): 1084-1097.
[5]	ZHU Lei, LI Yannan, HU Jing, TIAN Xiaobo, XU Jiahui, QING Qi. Multi-scale characteristics and influencing mechanism of spatial pattern on research and practice bases in China [J]. Arid Land Geography, 2023, 46(4): 625-635.
[6]	BAI Yang,TAN Li’na,CHEN Chunyan,LI Zhuoyuan. Influence effect and driving mechanism of intercity trains on high-quality development of tourism economy in Xinjiang [J]. Arid Land Geography, 2023, 46(4): 658-666.
[7]	TIAN Xiaobo,HU Jing,JIA Yaoyan,ZHU Lei. 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.
[8]	CHENG Jing,WANG Peng,CHEN Hongxiang,HAN Yonggui. Spatiotemporal evolution of habitat quality in the Weihe River Basin and its topographic gradient effects and influencing factors [J]. Arid Land Geography, 2023, 46(3): 481-491.
[9]	LU Chenyu,HUANG Ping,ZHANG Tong,LIU Xiaowan,CHENG Wei. Spatiotemporal evolution and driving factors of the green development efficiency in Gansu Province [J]. Arid Land Geography, 2023, 46(2): 305-315.
[10]	YANG Yang, QIAO Jiajun, WANG Wei, ZHANG Ershen. Impact of poverty alleviation resource allocation on income of rural low-income farmer households: A case of 18 villages in Qinghai Province [J]. Arid Land Geography, 2023, 46(2): 325-336.
[11]	NI Honghong, MA Qiang, BU Yuankun, YANG Xiaoxuan, LI Weizhong. Spatiotemporal distribution pattern evolution and influencing factors of forestry enterprises in Shaanxi Province [J]. Arid Land Geography, 2023, 46(12): 2098-2110.
[12]	MA Xiaomin, ZHANG Zhibin, GUO Qianqian, WU Zhixiang, FENG Xueli. Spatial distribution, type structure and influencing factors of popular science education bases in China [J]. Arid Land Geography, 2023, 46(11): 1879-1890.
[13]	CHENG Jing,WANG Peng,CHEN Hongxiang,HAN Yonggui. Geographical exploration of the spatial and temporal evolution of ecological risk and its influencing factors in semi-arid regions: A case of Yanchi County in Ningxia [J]. Arid Land Geography, 2022, 45(5): 1637-1648.
[14]	HE Junqi,WEI Yan,GAO Wande,CHEN Yunfei,MA Yandong,LIU Xiuhua. Temporal and spatial variation of vegetation NDVI and its response to climatic factors in the southeastern margin of Mu Us Sandy Land [J]. Arid Land Geography, 2022, 45(5): 1523-1533.
[15]	LI Hongfei,HE Yingru,BI Xiaoli. Coupling coordination relationship between ecological environment and high-quality development in Lanzhou section of Yellow River Basin [J]. Arid Land Geography, 2022, 45(4): 1244-1253.