不同地理环境下“空间贫困陷阱”分异机制比较——基于大别山与黄土高原的实证

doi:10.12118/j.issn.1000–6060.2022.244

干旱区地理 ›› 2022, Vol. 45 ›› Issue (2): 650-659.doi: 10.12118/j.issn.1000–6060.2022.244

不同地理环境下“空间贫困陷阱”分异机制比较——基于大别山与黄土高原的实证

孙健武¹(),高军波^2,³(),马志飞^1,³,喻超^1,³,张欣怡^1,³

1.信阳师范学院地理科学学院,河南信阳 464000
2.信阳师范学院旅游学院,河南信阳 464000
3.信阳师范学院河南省精准扶贫与乡村振兴软科学研究基地,河南信阳 464000

收稿日期:2021-05-26 修回日期:2021-09-21 出版日期:2022-03-25 发布日期:2022-04-02
通讯作者: 高军波
作者简介:孙健武（1993-）,男,硕士研究生,主要从事乡村贫困与乡村转型发展研究. E-mail: sunjwx@163.com
基金资助:
国家自然科学基金项目(U1904125);教育部人文社会科学研究项目(18YJA840003);信阳师范学院研究生科研创新基金项目资助(2020KYJJ37)

Comparison of spatial poverty trap formation mechanisms in different geographical environments: A case of Dabie Mountains and Loess Plateau

SUN Jianwu¹(),GAO Junbo^2,³(),MA Zhifei^1,³,YU Chao^1,³,ZHANG Xinyi^1,³

1. School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, Henan, China
2. School of Tourism, Xinyang Normal University, Xinyang 464000, Henan, China
3. The Center of Targeted Poverty Alleviation and Rural Revitalization, Xinyang Normal University, Xinyang 464000, Henan, China

Received:2021-05-26 Revised:2021-09-21 Online:2022-03-25 Published:2022-04-02
Contact: Junbo GAO

摘要/Abstract

摘要：

脱贫攻坚战的打赢使贫困治理的目光转向缓解相对贫困,脱贫人口与相对贫困人口的重合性决定了集中连片特困地区仍将是我国解决贫困问题的主战场。以大别山区的新县和黄土高原地区的延长县为例,以贫困发生率为因变量,从“人”、“业”、“地”3个维度选取自变量,综合运用空间自相关和地理探测器等方法,解析不同地理环境下贫困空间分异模式与作用机制。结果表明：大别山区贫困空间集聚为点状和团块状相间分布为主,黄土高原地区则以团块状为主。大别山区“地”和“业”2个维度对空间贫困作用显著,黄土高原地区则“人”、“业”、“地”3个维度相对均衡。承载空间“地”的资源丰度带来的生存压力不同两地贫困形成机制的差异所在,黄土高原地区基于足够的生存资源,在相对封闭的空间中形成3个维度的负向循环累积,而大别山区在资源匮乏作用下,个体生存理性抉择下选择外出务工,从而打破贫困累积的循环。

关键词: 空间自相关, 地理探测器, 大别山区, 黄土高原

Abstract:

With the success of the fight against poverty, the focus of poverty governance has shifted to relative poverty. The overlap between the absolute and relatively poor shows that concentrated contiguous areas with extreme poverty will remain the main battlefield for China to solve the poverty problem. The causes and mechanisms of poverty of poor farmers in different natural geographical environments are quite different. Analyzing and comparing rural poverty-causing factors and differentiation mechanisms under the same scale and different geographical environments can more clearly show the outstanding problems of regional poverty and the common problems of comprehensive regional poverty. Taking the Xinxian County of Dabie Mountains and Yanchang County of the Loess Plateau as examples, taking the incidence of poverty as the dependent variable, selecting independent variables from the three dimensions of “person, origin, and land” comprehensively using spatial autocorrelation, geographic detectors, and other methods to analyze the characteristics and mechanism of the spatial differentiation of poverty in different geographical environments. The results are as follows. (1) The spatial agglomeration of poverty in the Dabie Mountains is mainly distributed in dots and clumps, whereas the Loess Plateau is mainly distributed in clumps. The level of spatial poverty agglomeration in the Loess Plateau is significantly higher than that in the Dabie Mountains. (2) The two dimensions of “land” and “industry” in the Dabie Mountains significantly affect spatial poverty, whereas the three dimensions of “people, industry, and land” in the Loess Plateau are relatively balanced. However, the incidence of poverty in the Loess Plateau is lower than that in the Dabie Mountains, indicating that the occurrence of spatial poverty is independent of the dimensions of poverty-causing factors, but more importantly, its mode and depth of action. (3) The distance to the county center ranks first in the determinative power of each factor in the Dabie Mountains and Loess Plateau, with 0.179 and 0.198, respectively. Additionally, the total population of the village in the Dabie Mountains (0.124), distance from the township government (0.070), and proportion of migrant workers’ income in the income structure (0.070) are the main influencing factors. In the Loess Plateau region, the proportion of children under 15 years old (0.162), the proportion of crop income in the income structure (0.159), per capita net income (0.159), and the proportion of primary school education or above (0.140) are the main impact factors. (4) The difference in subsistence pressure brought about by the abundance of “land” resources in the carrying space is the source of the difference in poverty formation mechanisms between the two places. The Loess Plateau has formed a three-dimensional negative circulation accumulation in a relatively closed space based on sufficient living resource. However, the Dabie Mountains area is under the effect of lack of resources, and individual survival rationally chooses to go out to work; thus, breaking the cycle of accumulation of poverty.

Key words: spatial autocorrelation, geographic setector, Dabie Mountains, Loess Plateau

孙健武,高军波,马志飞,喻超,张欣怡. 不同地理环境下“空间贫困陷阱”分异机制比较——基于大别山与黄土高原的实证[J]. 干旱区地理, 2022, 45(2): 650-659.

SUN Jianwu,GAO Junbo,MA Zhifei,YU Chao,ZHANG Xinyi. Comparison of spatial poverty trap formation mechanisms in different geographical environments: A case of Dabie Mountains and Loess Plateau[J]. Arid Land Geography, 2022, 45(2): 650-659.

图/表 8

图1

表1

图2

图3

表2

表3

新县和延长县贫困发生影响因子交互作用探测结果"

单元		X₁₁	X₁₂	X₁₃	X₁₄	X₂₁	X₂₂	X₂₃	X₃₁	X₃₂	X₃₃	X₃₄	X₃₅	X₃₆	X₃₇
新县	X₁₁	0.045
	X₁₂	0.079^**	0.053
	X₁₃	0.093^*	0.096^*	0.035
	X₁₄	0.080^*	0.096^*	0.072^*	0.012
	X₂₁	0.075^**	0.089^**	0.089^*	0.073^*	0.037
	X₂₂	0.101^**	0.100^**	0.116^*	0.118^*	0.099^**	0.071
	X₂₃	0.105^**	0.093^**	0.147^*	0.101^*	0.110^*	0.098^**	0.063
	X₃₁	0.088^*	0.099^*	0.079^*	0.070^*	0.082^*	0.109^*	0.116^*	0.019
	X₃₂	0.093^*	0.105^*	0.093^*	0.050^*	0.104^*	0.115^*	0.120^*	0.070^*	0.019
	X₃₃	0.264^*	0.274^*	0.255^*	0.227^*	0.280^*	0.306^*	0.292^*	0.222^*	0.273^*	0.180
	X₃₄	0.147^*	0.160^*	0.151^*	0.112^*	0.155^*	0.168^*	0.173^*	0.132^*	0.136^*	0.360^*	0.069
	X₃₅	0.106^*	0.105^*	0.083^*	0.045^*	0.094^*	0.118^*	0.123^*	0.073^*	0.070^*	0.245^*	0.118^*	0.018
	X₃₆	0.116^*	0.121^*	0.098^*	0.072^*	0.114^*	0.143^*	0.127^*	0.085^*	0.081^*	0.221^*	0.134^*	0.084^*	0.036
	X₃₇	0.202^*	0.220^*	0.187^*	0.157^*	0.205^*	0.238^*	0.220^*	0.163^**	0.175^*	0.315^*	0.194^*	0.175^*	0.178^*	0.125
延长县	X₁₁	0.123
	X₁₂	0.191^**	0.162
	X₁₃	0.175^**	0.179^**	0.140
	X₁₄	0.149^*	0.184^*	0.165^*	0.021
	X₂₁	0.201^**	0.224^**	0.193^**	0.182^*	0.159
	X₂₂	0.195^**	0.198^**	0.157^**	0.155^*	0.205^**	0.121
	X₂₃	0.207^**	0.207^**	0.190^**	0.178^**	0.195^**	0.229^**	0.159
	X₃₁	0.165^*	0.221^*	0.188^*	0.069^*	0.207^*	0.166^*	0.201^*	0.012
	X₃₂	0.151^*	0.189^*	0.166^*	0.053^*	0.190^*	0.148^*	0.186^*	0.063^*	0.018
	X₃₃	0.305^**	0.322^**	0.319^**	0.221	0.303^**	0.314^**	0.303^**	0.227^*	0.257^*	0.198
	X₃₄	0.193^*	0.240^*	0.244^*	0.099^*	0.257^*	0.200^*	0.241^*	0.105^*	0.096^*	0.292^*	0.065
	X₃₅	0.166^*	0.222^*	0.193^*	0.051^*	0.215^*	0.190^*	0.216^*	0.096^*	0.050^*	0.314^*	0.115^*	0.016
	X₃₆	0.136^*	0.181^*	0.156^*	0.043^*	0.179^*	0.144^*	0.176^*	0.041^*	0.038^*	0.218^*	0.098^*	0.042^*	0.008
	X₃₇	0.194^*	0.238^*	0.209^*	0.058^**	0.240^*	0.203^*	0.227^*	0.166^*	0.093^*	0.275^*	0.152^*	0.093^*	0.073^*	0.051

表3

图4

图5

参考文献 26

[1]	刘彦随, 周扬, 刘继来. 中国农村贫困化地域分异特征及其精准扶贫策略[J]. 中国科学院院刊, 2016, 31(3):269-278.
	[ Liu Yansui, Zhou Yang, Liu Jilai. Regional differentiation characteristics of rural poverty and targeted poverty alleviation strategy in China[J]. Bulletin of Chinese Academy of Sciences, 2016, 31(3):269-278. ]
[2]	刘彦随, 李进涛. 中国县域农村贫困化分异机制的地理探测与优化决策[J]. 地理学报, 2017, 72(1):161-173. doi: 10.11821/dlxb201701013
	[ Liu Yansui, Li Jintao. Geographic detection and optimizing decision of the differentiation mechanism of rural poverty in China[J]. Acta Geographica Sinica, 2017, 72(1):161-173. ] doi: 10.11821/dlxb201701013
[3]	叶兴庆, 殷浩栋. 从消除绝对贫困到缓解相对贫困:中国减贫历程与2020年后的减贫战略[J]. 改革, 2019(12):5-15.
	[ Ye Xingqing, Yin Haodong. From eliminating absolute poverty to alleviating relative poverty: China’s history of poverty reduction and poverty reduction strategies after 2020[J]. Reform, 2019(12):5-15. ]
[4]	汪三贵, 刘明月. 从绝对贫困到相对贫困: 理论关系、战略转变与政策重点[J]. 华南师范大学学报(社会科学版), 2020(6):18-29, 189.
	[ Wang San’gui, Liu Mingyue. From absolute poverty to relative poverty: Theoretical relationships, strategic shifts and policy priorities[J]. Journal of South China Normal University (Social Science Edition), 2020(6):18-29, 189. ]
[5]	高军波, 喻超, 戈大专, 等. 不同地理环境下农户致贫机理的多尺度比较——以河南省为例[J]. 资源科学, 2019, 41(9):1690-1702.
	[ Gao Junbo, Yu Chao, Ge Dazhuan, et al. Multiscale analysis of poverty creation for farming households in different geographical environments: A case study of Henan Province[J]. Resources Science, 2019, 41(9):1690-1702. ]
[6]	Rupasingha A, Goetz S J. Social and political forces as determinants of poverty: A spatial analysis[J]. The Journal of Socioeconomics, 2007, 36(4):650-671.
[7]	周扬, 李寻欢. 平原农区贫困地理格局及其分异机制——以安徽省利辛县为例[J]. 地理科学, 2019, 39(10):1592-1601. doi: 10.13249/j.cnki.sgs.2019.10.008
	[ Zhou Yang, Li Xunhuan. Geographical pattern and mechanism of poverty differentiation in plain areas: A case study of Lixin County, Anhui Province[J]. Scientia Geographica Sinica, 2019, 39(10):1592-1601. ] doi: 10.13249/j.cnki.sgs.2019.10.008
[8]	李玉恒, 武文豪, 宋传垚, 等. 世界贫困的时空演化格局及关键问题研究[J]. 中国科学院院刊, 2019, 34(1):42-50.
	[ Li Yuheng, Wu Wenhao, Song Chuanyao, et al. Spatial-temporal pattern of world poverty reduction and key problems analysis[J]. Bulletin of Chinese Academy of Sciences, 2019, 34(1):42-50. ]
[9]	张远新, 董晓峰. 论脱贫攻坚的中国经验及其意义[J]. 浙江社会科学, 2021(2):4-10, 155.
	[ Zhang Yuanxin, Dong Xiaofeng. The valuable experience and great significance of China’s poverty alleviation[J]. Zhejiang Social Sciences, 2021(2):4-10, 155. ]
[10]	文琦, 施琳娜, 马彩虹, 等. 黄土高原村域多维贫困空间异质性研究——以宁夏彭阳县为例[J]. 地理学报, 2018, 73(10):1850-1864. doi: 10.11821/dlxb201810003
	[ Wen Qi, Shi Linna, Ma Caihong, et al. Spatial heterogeneity of multidimensional poverty at the village level: Loess Plateau[J]. Acta Geographica Sinica, 2018, 73(10):1850-1864. ] doi: 10.11821/dlxb201810003
[11]	潘竟虎, 冯娅娅. 中国农村深度贫困的空间扫描与贫困分异机制的地理探测[J]. 地理学报, 2020, 75(4):769-788. doi: 10.11821/dlxb202004008
	[ Pan Jinghu, Feng Yaya. Spatial distribution of extreme poverty and mechanism of poverty differentiation in rural China based on spatial scan sta-tistics and geographical detector[J]. Acta Geographica Sinica, 2020, 75(4):769-788. ] doi: 10.11821/dlxb202004008
[12]	葛咏, 刘梦晓, 胡姗, 等. 时空统计学在贫困研究中的应用及展望[J]. 地球信息科学学报, 2021, 23(1):58-74. doi: 10.12082/dqxxkx.2021.200628
	[ Ge Yong, Liu Mengxiao, Hu Shan, et al. The application and prospect of spatiotemporal statistics in poverty research[J]. Journal of Geo-Information Science, 2021, 23(1):58-74. ] doi: 10.12082/dqxxkx.2021.200628
[13]	Burke W J, Jayne T S. Spatial disadvantages or spatial poverty traps: Household evidence from rural Kenya[M]. London: Overseas Development Institute, 2008: 2-26.
[14]	Bied K, Mckay A, Shinyekwa I. Isolation and poverty: The relationship between spatially differentiated access to goods and services and poverty[C]//Chronic Poverty Research Centre. International aid and Development. London: Chronic Poverty Research Centre Press, 2007: 1-16.
[15]	赵春雨, 温瑞霞, 杨娜. 皖西地区贫困空间分异的影响机制[J]. 自然资源学报, 2020, 35(12):2916-2928.
	[ Zhao Chunyu, Wen Ruixia, Yang Na. The influence mechanism of poverty spatial differentiation in western Anhui Province[J]. Journal of Natural Resources, 2020, 35(12):2916-2928. ]
[16]	刘倩, 张戬, 何艳冰, 等. 秦巴山特困区农户生计资本及生计策略研究——以商洛市为例[J]. 干旱区地理, 2020, 43(1):237-247.
	[ Liu Qian, Zhang Jian, He Yanbing, et al. Livelihood capital and livelihood strategies of the farmer household in the exceptional poverty regions of Qinling-Daba mountainous area: A case of Shangluo City[J]. Arid Land Geography, 2020, 43(1):237-247. ]
[17]	刘小鹏, 李永红, 王亚娟, 等. 县域空间贫困的地理识别研究——以宁夏泾源县为例[J]. 地理学报, 2017, 72(3):545-557. doi: 10.11821/dlxb201703014
	[ Liu Xiaopeng, Li Yonghong, Wang Yajuan, et al. Geographical identification of spatial poverty at county scale: A case study of Jingyuan County, Ningxia Province[J]. Acta Geographica Sinica, 2017, 72(3):545-557. ] doi: 10.11821/dlxb201703014
[18]	高军波, 韩勇, 喻超, 等. 河南省县域农作物生产空间格局演变及专业化分区研究[J]. 中国农业资源与区划, 2019, 40(7):152-163.
	[ Gao Junbo, Han Yong, Yu Chao, et al. Spatial evolution and specialization division of county crops production in Henan Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2019, 40(7):152-163. ]
[19]	张向敏, 罗燊, 李星明, 等. 中国空气质量时空变化特征[J]. 地理科学, 2020, 40(2):190-199. doi: 10.13249/j.cnki.sgs.2020.02.004
	[ Zhang Xiangmin, Luo Shen, Li Xingming, et al. Spatio-temporal variation features of air quality in China[J]. Scientia Geographica Sinica, 2020, 40(2):190-199. ] doi: 10.13249/j.cnki.sgs.2020.02.004
[20]	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
[21]	石天戈, 时卉. 基于地理探测器的乌鲁木齐城市扩张特征与时空驱动因素分析[J]. 干旱区地理, 2021, 44(3):867-876.
	[ Shi Tiange, Shi Hui. Urban expansion and its temporal and spatial driving forces of Urumqi based on geo-detector method[J]. Arid Land Geography, 2021, 44(3):867-876. ]
[22]	丁建军, 冷志明. 区域贫困的地理学分析[J]. 地理学报, 2018, 73(2):232-247. doi: 10.11821/dlxb201802003
	[ Ding Jianjun, Leng Zhiming. Regional poverty analysis in a view of geography science[J]. Acta Geographica Sinica, 2018, 73(2):232-247. ] doi: 10.11821/dlxb201802003
[23]	罗必良. 论生态经济系统的边界[J]. 农业现代化研究, 1991, 12(5):29-32.
	[ Luo Biliang. On the boundary of ecological economic system[J]. Research of Agricultural Modernization, 1991, 12(5):29-32. ]
[24]	李雨欣, 薛东前, 马蓓蓓, 等. 黄土高原地区农村贫困空间演化及偏远特征[J]. 干旱区地理, 2021, 44(2):534-543.
	[ Li Yuxin, Xue Dongqian, Ma Beibei, et al. Spatial evolution and remote characteristics of rural poverty in the Loess Plateau, China[J]. Arid Land Geography, 2021, 44(2):534-543. ]
[25]	喻超, 孙健武, 高军波. 从政府公开信息看脱贫攻坚与乡村振兴有机衔接——基于河南省53个贫困县的大数据分析[J]. 信阳师范学院学报(哲学社会科学版), 2021, 41(4):38-44.
	[ Yu Chao, Sun Jianwu, Gao Junbo. Organic connection between poverty alleviation and rural revitalization from the perspective of government public information: A big data analysis based on 53 poor counties in Henan Province[J]. Journal of Xinyang Normal University (Philosophy and Social Sciences Edition), 2021, 41(4):38-44. ]
[26]	贺雪峰, 董磊明. 农民外出务工的逻辑与中国的城市化道路[J]. 中国农村观察, 2009(2):12-18, 95.
	[ He Xuefeng, Dong Leiming. The logic of peasant’s work in the city and the path of Chinese urbanization[J]. China Rural Survey, 2009(2):12-18, 95. ]

维度	类型	指标	维度	类型	指标
人（主体）	抚养负担	家庭患大病人口比重（X₁₁）	地（客体）	区位条件	与道路距离（X₃₁）
	抚养负担	家庭15岁以下儿童人口比重（X₁₂）			与河流距离（X₃₂）
	人力资本	小学以上学历比重（X₁₃）			与县政府距离（X₃₃）
	自然资本	人均耕地面积（X₁₄）			与乡镇政府距离（X₃₄）
业（中介）	产业结构	收入结构中种植业收入比重（X₂₁）		地形地貌	高程（X₃₅）
	产业结构	收入结构中务工收入比重（X₂₂）	坡度（X₃₆）
	经济水平	人均纯收入（X₂₃）	要素禀赋		村总人口（X₃₇）

维度	指标	新县			延长县
维度	指标	q值	P值	排序	q值	P值	排序
人	家庭患大病人口比重（X₁₁）	0.044	0.010	7	0.123	0.000	6
	家庭15岁以下儿童人口比重（X₁₂）	0.053	0.000	6	0.162	0.000	2
	小学以上学历比重（X₁₃）	0.034	0.000	10	0.140	0.000	5
	人均耕地面积（X₁₄）	0.011	0.508	14	0.021	0.121	10
业	收入结构中种植业收入比重（X₂₁）	0.036	0.000	8	0.159	0.000	3
	收入结构中务工收入比重（X₂₂）	0.070	0.000	4	0.121	0.000	7
	人均纯收入（X₂₃）	0.062	0.000	5	0.159	0.000	4
地	与道路距离（X₃₁）	0.018	0.007	11	0.012	0.014	13
	与河流距离（X₃₂）	0.018	0.004	12	0.018	0.020	11
	与县政府距离（X₃₃）	0.179	0.000	1	0.198	0.000	1
	与乡镇政府距离（X₃₄）	0.070	0.000	3	0.065	0.000	8
	高程（X₃₅）	0.017	0.000	13	0.016	0.031	12
	坡度（X₃₆）	0.035	0.000	9	0.008	0.122	14
	村总人口（X₃₇）	0.124	0.000	2	0.052	0.000	9

不同地理环境下“空间贫困陷阱”分异机制比较——基于大别山与黄土高原的实证

Comparison of spatial poverty trap formation mechanisms in different geographical environments: A case of Dabie Mountains and Loess Plateau

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 8

参考文献 26

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	任贵秀, 刘凯. 黄河流域绿色创新的时空演化特征及影响因素分析[J]. 干旱区地理, 2024, 47(1): 158-169.
[2]	杨雨, 宋福铁, 张杰. 基于地理探测器的中国金融网络空间结构特征及影响因素研究[J]. 干旱区地理, 2023, 46(9): 1524-1535.
[3]	李建辉, 陈琳, 党争. 黄河流域爱国主义教育基地空间格局及影响因素研究[J]. 干旱区地理, 2023, 46(9): 1536-1544.
[4]	张昊, 韩增林, 乔国荣, 王辉, 王宏业, 段冶. 黄河流域城市间旅游经济联系格局及影响因素研究[J]. 干旱区地理, 2023, 46(8): 1344-1354.
[5]	康利刚, 曹生奎, 曹广超, 严莉, 陈链璇, 李文斌, 赵浩然. 青海湖流域地表温度时空变化特征研究[J]. 干旱区地理, 2023, 46(7): 1084-1097.
[6]	袁宏伟, 蔡俊, 章磊. 国家重点生态功能区人类活动与生境质量时空变化特征及空间效应[J]. 干旱区地理, 2023, 46(6): 934-948.
[7]	穆佳薇, 乔保荣, 余国新. 新疆塔里木河流域县域农业低碳生产率时空格局及影响效应研究[J]. 干旱区地理, 2023, 46(6): 968-981.
[8]	孔德明, 郝丽莎, 夏四友, 李红波. 粮食单产视角下中国北方农牧交错带粮食安全研究[J]. 干旱区地理, 2023, 46(5): 782-792.
[9]	罗嘉艳, 张靖, 徐梦冉, 莫宇, 同丽嘎. 浑善达克沙地植被变化定量归因及多情景预测[J]. 干旱区地理, 2023, 46(4): 614-624.
[10]	朱磊, 李燕楠, 胡静, 田小波, 徐佳慧, 卿琪. 中国研学实践基地空间格局的多尺度特征及影响机理研究[J]. 干旱区地理, 2023, 46(4): 625-635.
[11]	任涛涛,李双双,段克勤,何锦屏. 黄土高原热浪型和缺水型骤旱时空变化特征及其影响因素[J]. 干旱区地理, 2023, 46(3): 360-370.
[12]	杨玉欢,贺建雄,张新红,芮旸. 中国农文旅耦合协调发展空间分异特征及影响肌理[J]. 干旱区地理, 2023, 46(3): 448-459.
[13]	程静,王鹏,陈红翔,韩永贵. 渭河流域生境质量时空演变及其地形梯度效应与影响因素[J]. 干旱区地理, 2023, 46(3): 481-491.
[14]	鹿晨昱,黄萍,张彤,刘小莞,成薇. 甘肃省绿色发展效率时空演化与驱动因素研究[J]. 干旱区地理, 2023, 46(2): 305-315.
[15]	杨洋, 乔家君, 王伟, 张二申. 扶贫资源配置对低收入农户收入影响——以青海省18村为例[J]. 干旱区地理, 2023, 46(2): 325-336.