Characteristics of evolution of rural revitalization in counties in the Qinba Mountainous Region of Shaanxi， China

doi:10.7522/j.issn.1000-694X.2025.00017

Journal of Desert Research ›› 2025, Vol. 45 ›› Issue (5): 308-317.DOI: 10.7522/j.issn.1000-694X.2025.00017

Characteristics of evolution of rural revitalization in counties in the Qinba Mountainous Region of Shaanxi， China

Min Huang¹^,²(), Honglian Wan¹(), Xiaoli Wang¹, Jingfeng Ni¹, Huiyue Liu¹, Wenzhe Zhang¹, Yiyi Cui¹

^1.College of Economic and Management，Baoji University of Arts and Sciences，Baoji 721013，Shaanxi，China
^2.Fujian Huian Senior High School，Quanzhou 362100，Fujian，China

Received:2024-07-30 Revised:2025-02-18 Online:2025-09-20 Published:2025-09-27
Contact: Honglian Wan

Abstract

Abstract:

The Rural Revitalization Strategy is a critical component in the comprehensive construction of a socialist modernized country and holds significant importance for promoting coordinated urban-rural development. Taking 30 counties in the Qinba Mountainous region of Shaanxi Province as the research object， this study constructs an evaluation index system for measuring the level of rural revitalization in mountainous county areas. It assesses the development status of rural revitalization in the Qinba Mountainous Region of Shaanxi Province from 2017 to 2021， using the entropy weight-TOPSIS method， trend surface analysis， and hotspot analysis to explore the spatial evolution characteristics of rural revitalization. The results indicate：（1） The trend surface curve of rural revitalization levels in the study area counties generally shows a distribution pattern of “low in the southwest and high in the northeast”， with varying distribution forms along the east-west and north-south directions. （2） The overall level of rural revitalization development in the study area shows an upward trend， but the growth rate is relatively slow， with a fluctuating increase along a southwest-northeast orientation. Imbalances exist in this development. （3） There are significant differences in the development levels across various dimensions. The scores， ranked from highest to lowest， are： prosperous living > ecological sustainability > thriving industries > effective governance > civilized rural customs. Socioeconomic conditions are key factors constraining the level of rural revitalization. （4） Hotspot areas of rural revitalization levels in the study area are concentrated in a belt-like distribution along the southern slopes of the eastern segment of the Qinba Mountains， while cold spot areas are mainly located in the western and eastern parts of the Han River Valley. Secondary cold spot regions generally exhibit a spatial distribution pattern radiating outward from the cold spot centers.This study provides empirical support for targeted policy-making by local governments， assisting in the in-depth implementation of the Rural Revitalization Strategy.

Key words: rural revitalization, county area, Qinba Mountainous Region, spatial pattern, evolution

CLC Number:

Min Huang, Honglian Wan, Xiaoli Wang, Jingfeng Ni, Huiyue Liu, Wenzhe Zhang, Yiyi Cui. Characteristics of evolution of rural revitalization in counties in the Qinba Mountainous Region of Shaanxi， China[J]. Journal of Desert Research, 2025, 45(5): 308-317.

Figures/Tables 6

References 40

[1]	闫周府，吴方卫.从二元分割走向融合发展：乡村振兴评价指标体系研究［J］.经济学家，2019（6）：90-103.
[2]	张鹏，刘承.巩固拓展脱贫攻坚成果同乡村振兴有效衔接的逻辑机理与实现路径［J］.改革与战略，2021，37（7）：88-97.
[3]	李二玲，邓晴晴，何伟纯.基于产业集群发展的中部传统平原农区乡村振兴模式与实现路径［J］.经济地理，2019，39（12）：110-118.
[4]	Li Y， Fan P， Liu Y.What makes better village development in traditional agricultural areas of China？Evidence from long-term observation of typical villages［J］.Habitat International，2019，83：111-124.
[5]	尹君锋，石培基.甘肃省县域乡村振兴发展评估与空间格局分异［J］.中国沙漠，2022，42（5）：1-9.
[6]	朱彩云.中央一号文件绘就乡村全面振兴“路线图”［N］.中国青年报，2025-02-24（3）.
[7]	苗俊霞，宋晓谕，冯人和，等.欠发达山区可持续发展目标相互作用研究：以云南省临沧市为例［J］.地球科学进展，2022，37（9）：949-962.
[8]	Romeo R V A T R.Mapping the vulnerability of mountain peoples to food insecurity［R］.Rome，Italy：FAO，2015.
[9]	Pollermann K R P S G.Rural Development experiences in Germany：opportunities and obstacles in fostering smart places through LEADER［J］.Studies in Agricultural Economics，2013，115（2）：111-117.
[10]	Aubert F， Frère Q， Lépicier D，et al.Decentralization and rural development policies effectiveness：a quasi-experimental evaluation of the LEADER programme［J］.Regional Studies，2025，59（1）：2129606.
[11]	Georgios C， Nikolaos N， Michalis P.Neo-endogenous rural development：a path toward reviving rural Europe［J］.Rural Sociology，2021（86）：911-937.
[12]	Michalek J， Ciaian P， Di M F.Regional impacts of the EU rural development programme：poland's food processing sector［J］.Regional Studies，2020，54（10）：1389-1401.
[13]	Laidin C， Berriet-Solliec M.Understanding rural development policies：a proposal for a typology of the seven main policy repertoires in Europe and locally，based on French case studies［J］.Annals of Regional Science，2022，71（4）：121-144.
[14]	Makkonen T， Kahila P.Vitality policy as a tool for rural development in peripheral Finland［J］.Growth and Change，2021，52（2）：706-726.
[15]	曹斌.乡村振兴的日本实践：背景、措施与启示［J］.中国农村经济，2018（8）：117-129.
[16]	韩道铉，田杨.韩国新村运动带动乡村振兴及经验启示［J］.南京农业大学学报（社会科学版），2019，19（4）：20-27.
[17]	夏金梅.“三农”强富美：美国乡村振兴的实践及其经验借鉴［J］.世界农业，2019（5）：10-14.
[18]	Feng W， Liu Y， Qu L.Effect of land-centered urbanization on rural development：a regional analysis in China［J］.Land Use Policy，2019，87：104072.
[19]	郭远智，周扬，刘彦随.贫困地区的精准扶贫与乡村振兴：内在逻辑与实现机制［J］.地理研究，2019，38（12）：2819-2832.
[20]	胡守庚，吴思，刘彦随.乡村振兴规划体系与关键技术初探［J］.地理研究，2019，38（3）：550-562.
[21]	乔陆印.乡村振兴村庄类型识别与振兴策略研究：以山西省长子县为例［J］.地理科学进展，2019，38（9）：1340-1348.
[22]	郭远智，刘彦随.中国乡村发展进程与乡村振兴路径［J］.地理学报，2021，76（6）：1408-1421.
[23]	姜长云.实施乡村振兴战略需努力规避几种倾向［J］.农业经济问题，2018（1）：8-13.
[24]	贾晋，李雪峰，申云.乡村振兴战略的指标体系构建与实证分析［J］.财经科学，2018（11）：70-82.
[25]	韩欣宇，闫凤英.乡村振兴背景下乡村发展综合评价及类型识别研究［J］.中国人口·资源与环境，2019，29（9）：156-165.
[26]	郑兴明.基于分类推进的乡村振兴潜力评价指标体系研究：来自福建省3县市6个村庄的调查数据［J］.社会科学，2019（6）：36-47.
[27]	易小燕，陈印军，向雁，等.县域乡村振兴指标体系构建及其评价：以广东德庆县为例［J］.中国农业资源与区划，2020，41（8）：187-195.
[28]	张晓杰，刘芳清，刘静波，等.村域乡村振兴评价指标体系构建：以津市市金鱼岭街道大关山村为例［J］.安徽农业科学，2021，49（7）：212-214.
[29]	万红莲，毛楠，宋海龙，等.基于县域尺度的榆林市农业生态系统脆弱性空间演变研究［J］.江西农业学报，2021，33（10）：131-137.
[30]	尹君锋，石培基，张韦萍，等.乡村振兴背景下县域农业农村创新发展评价及空间格局：以甘肃省为例［J］.自然资源学报，2022，37（2）：291-306.
[31]	李雪敏，李同宁，李道政，等.内蒙古县域生态系统服务与居民福祉耦合协调关系时空特征及影响因素研究［J］.干旱区资源与环境，2023，37（7）：27-37.
[32]	刘海娇，范明元，管清花，等.县域“四水四定”协调性评价及应用［J］.干旱区资源与环境，2023，37（4）：194-200.
[33]	倪敬峰，张翀，赵昕.陕西省县域旅游景点空间分异与影响机制研究［J］.干旱区资源与环境，2022，36（3）：202-208.
[34]	吕承超，崔悦.乡村振兴发展：指标评价体系、地区差距与空间极化［J］.农业经济问题，2021（5）：20-32.
[35]	毛锦凰.乡村振兴评价指标体系构建方法的改进及其实证研究［J］.兰州大学学报（社会科学版），2021，49（3）：47-58.
[36]	万红莲，毛楠，宋海龙，等.基于三角图法的榆林市农业生态系统脆弱性类型变化研究［J］.中国沙漠，2021，41（3）：224-234.
[37]	龚晓菊，臧杨杨.乡村振兴与我国县域产业发展路径：浙江范例研究［J］.生态经济，2022，38（9）：111-117.
[38]	化祥雨，金祥荣，吕海萍，等.高质量发展耦合协调时空格局演化及影响因素：以浙江省县域为例［J］.地理科学，2021，41（2）：223-231.
[39]	文琦，郑殿元.西北贫困地区乡村类型识别与振兴途径研究［J］.地理研究，2019，38（3）：509-521.
[40]	张玉，王介勇，刘彦随.陕西秦巴山区地域功能转型与高质量发展路径［J］.自然资源学报，2021，36（10）：2464-2477.

维度层	指标	指标性质	权重
产业兴旺	特色农产品产值(元)	+	0.0057
	生态旅游收入(元)	+	0.0070
	粮食单产（t·hm^-2)	+	0.0041
	垦殖指数(%)	+	0.0102
	农业机械化水平（kW·hm^-2)	+	0.0080
	村均规模以上工业企业(个)	+	0.0041
生态宜居	农用塑料薄膜使用量(t)	－	0.0078
	化肥使用强度(t·hm^-2)	－	0.0017
	农药施用量（kg·hm^-2）	－	0.0148
	生活垃圾集中处理率(%)	+	0.2283
	人均公园绿地面积（m²·人^-1)	+	0.0105
	生活污水处理率(%)	+	0.0315
	空气质量优良率(%)	+	0.1203
	山区绿化覆盖率(%)	+	0.0575
乡风文明	提供住宿的社会工作机构床位(张)	+	0.0081
	山区养老服务机构数(个)	+	0.0045
	广播节目综合覆盖率与电视节目综合覆盖率均值(%)	+	0.1033
	人均拥有公共图书馆藏量(册)	+	0.0039
	小学教师数与在校学生数比例(%)	+	0.0032
生活富裕	居民人均可支配收入(元)	+	0.0024
	城乡居民收入比(%)	－	0.0353
	人均道路面积（m²)	+	0.0058
	山区供水普及率(%)	+	0.1044
	山区燃气普及率(%)	+	0.1217
	万人医疗卫生机构床位数(张)	+	0.0094
	营业面积50 m²以上的综合商店(个)	+	0.0086
治理有效	全县平安建设满意度(%)	+	0.0382
	山区居民最低生活保障人数(人)	+	0.0080
	城乡最低生活保障比率(%)	－	0.0066
	省级及以上国家文明村镇(个)	+	0.0046
	山区村委会占比(%)	+	0.0097
	山区公共卫生设施数量(个)	+	0.0108

维度层	指标	指标性质	权重
产业兴旺	特色农产品产值(元)	+	0.0057
	生态旅游收入(元)	+	0.0070
	粮食单产（t·hm^-2)	+	0.0041
	垦殖指数(%)	+	0.0102
	农业机械化水平（kW·hm^-2)	+	0.0080
	村均规模以上工业企业(个)	+	0.0041
生态宜居	农用塑料薄膜使用量(t)	－	0.0078
	化肥使用强度(t·hm^-2)	－	0.0017
	农药施用量（kg·hm^-2）	－	0.0148
	生活垃圾集中处理率(%)	+	0.2283
	人均公园绿地面积（m²·人^-1)	+	0.0105
	生活污水处理率(%)	+	0.0315
	空气质量优良率(%)	+	0.1203
	山区绿化覆盖率(%)	+	0.0575
乡风文明	提供住宿的社会工作机构床位(张)	+	0.0081
	山区养老服务机构数(个)	+	0.0045
	广播节目综合覆盖率与电视节目综合覆盖率均值(%)	+	0.1033
	人均拥有公共图书馆藏量(册)	+	0.0039
	小学教师数与在校学生数比例(%)	+	0.0032
生活富裕	居民人均可支配收入(元)	+	0.0024
	城乡居民收入比(%)	－	0.0353
	人均道路面积（m²)	+	0.0058
	山区供水普及率(%)	+	0.1044
	山区燃气普及率(%)	+	0.1217
	万人医疗卫生机构床位数(张)	+	0.0094
	营业面积50 m²以上的综合商店(个)	+	0.0086
治理有效	全县平安建设满意度(%)	+	0.0382
	山区居民最低生活保障人数(人)	+	0.0080
	城乡最低生活保障比率(%)	－	0.0066
	省级及以上国家文明村镇(个)	+	0.0046
	山区村委会占比(%)	+	0.0097
	山区公共卫生设施数量(个)	+	0.0108

Characteristics of evolution of rural revitalization in counties in the Qinba Mountainous Region of Shaanxi， China

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 40

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	Guangqin Li, Jiaxin Li, Xigen Guo. Spatio-temporal evolution and regional differences of coupling coordination between green innovation and green finance in the Yellow River Basin [J]. Journal of Desert Research, 2025, 45(5): 113-123.
[2]	Siqi Li, Haibing Wang, Xiaofei Yuan, Huricha Ao, Haoqin Yang. Temporal and spatial evolution of landscape ecological risks and driving forces in the Mu Us Sandy Land [J]. Journal of Desert Research, 2025, 45(5): 230-240.
[3]	Bo Yao, Jie Lian, Xiangwen Gong, Xiaoming Mou, Yulin Li, Yuqiang Li, Xuyang Wang. Spatial patterns and influencing factors of soil microbial carbon， nitrogen and phosphorus stoichiometry in Horqin Sandy Land [J]. Journal of Desert Research, 2025, 45(4): 153-165.
[4]	Lijiang Shi, Qianjin Li, Shan Gao, Yongning Li, Xiaojun Yao, Xiaolong Zhang, Yinbo Zhang, Feng Gao. Analysis on the spatiotemporal evolution and influencing factors of green technology innovation capability of urban agglomerations in the middle reaches of the Yellow River [J]. Journal of Desert Research, 2024, 44(6): 122-134.
[5]	Yixin Ma, Zifeng Wu, Zhuoran Wang, Xujiao Han, Youhan Wu, Hasi Eerdun. Internal sedimentary structure of source-limited parabolic dune in southern margin of Hobq Desert [J]. Journal of Desert Research, 2024, 44(5): 41-49.
[6]	Weihua Pang, Bin Wei, Yanfang Chen, Wenbin Zhang. The configuration paths and development models of rural revitalization in Gansu， China [J]. Journal of Desert Research, 2024, 44(4): 293-301.
[7]	Zhihan Xie, Min Liu, Xugang Yan, Yapeng Ren. Spatial pattern of important geological remains and evaluation of geotourism development potential in the Yellow River Basin [J]. Journal of Desert Research, 2024, 44(3): 128-139.
[8]	Jun Luo, Xuebin Zhang, Peiji Shi. Spatial evolution characteristics and zoning optimization of Lanzhou-Xining urban agglomeration in the upper reaches of the Yellow River [J]. Journal of Desert Research, 2024, 44(3): 182-193.
[9]	Min Han, Yong Gao, Minghui He, Ru Yan, Fang Bai, Wenyuan Yang, Xiaole Li, Xiaoman Yuan, Juan Yang. Morphology and sediment characterization of a scrub sandpile in Caragana tibetica [J]. Journal of Desert Research, 2024, 44(2): 185-195.
[10]	Jialong Ren, Jiliang Liu, Yongzhen Wang, Jing Fang, Yilin Feng, Anling Gao, Yuanxia Song, Weidong Xin. Response of ground arthropod assemblages to precipitation and temperature changes in the gobi desert [J]. Journal of Desert Research, 2024, 44(2): 207-219.
[11]	Kongsen Wu, Dongyan Kong, Chuanyan An. Spatial-temporal evolution pattern and coordinated development of human-environment system resilience in the Yellow River Basin [J]. Journal of Desert Research, 2023, 43(6): 246-257.
[12]	Wenfeng Chi, Yuetian Wang, Xiaohong Dang, Xiaoguang Wu, Qiancheng Luo. Temporal variation and spatial pattern of soil erosion in the Yellow River Basin [J]. Journal of Desert Research, 2023, 43(3): 305-317.
[13]	Mengjun Hu, Jing Zhuang, Wenli Sun, Dengyou Zheng, Tianqi Ji, Aokang Xu. Geochemical characteristics of major elements and environmental evolution in the Holocene in the northeastern Tibetan Plateau [J]. Journal of Desert Research, 2023, 43(2): 11-20.
[14]	Funing Yang, Lü Ping, Fang Ma, Min Cao, Nan Xiao, Lixia Gu, Ying Yang. Morphological evolution and migration characteristics of reticulate dunes at southern fringe of Tengger Desert [J]. Journal of Desert Research, 2023, 43(1): 107-115.
[15]	Guojun Sun, Linxuan Fang, Haijun Liu. The characteristics and influencing factors of the development of cultural industry in Gansu Province [J]. Journal of Desert Research, 2023, 43(1): 75-82.