ECONOMIC RESILIENCE AND ITS INFLUENCING FACTORS BASED ON NIGHTTIME LIGHT DATA FROM THE BOHAI RIM REGION DURING THE COVID-19 PANDEMIC
ZHANG Xue-bo1,2, LU Bing-kun1, HE Zhi-hao1, WU Jiang-nan1
1. School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China; 2. Institute of Yellow River Ecology, Qufu Normal University, Qufu 273165, China
Abstract Based on nighttime light data from the fourth quarter of 2019 to the fourth quarter of 2021, thisstudy analyzes the spatiotemporal evolution of economic resilience at different timescales in the Bohai Rim region, and explores the main factors influencing regional economic resilience. The conclusions are as follows: 1) Economic resilience in the Bohai Rim region exhibits significant fluctuations on a quarterly basis, with Beijing and Tianjin experiencing greater volatility than other provinces. However, from an annual perspective, changes in the overall economic resilience of the region are relatively minor, and the differences in annual economic resilience among the provinces and cities are not pronounced. 2) The northern part of the Beijing-Tianjin-Hebei urban agglomeration displays high levels of economic resilience both quarterly and annually, consistently demonstrating a "high-high" clustering in terms of economic resilience. The middle and southern Liaoning urban agglomeration overall shows a lower level of resilience, yet the overall trend is positive. The Shandong Peninsula urban agglomeration, on the other hand, exhibits considerable internal differences in economic resilience levels. 3) While the diversification of industrial structures has a dampening effect on quarterly economic resilience, social consumption and government regulation contribute to enhancing it. Differently, there is an inverted U-shaped relationship between the advancement of industrial structures and annual economic resilience. Along with the level of industrial advancement increases, the positive impact on annual economic resilience gradually diminishes. Additionally, the positive effects of technological innovation manifest with a certain delay, and an increased level of openness to the outside world does not favor the enhancement of annual economic resilience during the pandemic period.
ZHANG Xue-bo,LU Bing-kun,HE Zhi-hao等. ECONOMIC RESILIENCE AND ITS INFLUENCING FACTORS BASED ON NIGHTTIME LIGHT DATA FROM THE BOHAI RIM REGION DURING THE COVID-19 PANDEMIC[J]. HUMAN GEOGRAPHY, 2024, 39(4): 46-56,117.
刘卫东. 新冠肺炎疫情对经济全球化的影响分析[J]. 地理研究, 2020, 39(7): 1439-1449. [Liu Weidong. The impacts of COVID-19 pandemic on the development of economic globalization[J]. Geographical Research, 2020, 39(7):1439-1449.]
[2]
Martin R, Sunley P. On the notion of regional economic resilience: Conceptualization and explanation[J]. Journal of Economic Geography, 2014, 15(1):1-42.
[3]
Martin R, Sunley P, Tyler P. Local growth evolutions: Recession, resilience and recovery[J]. Cambridge Journal of Regions, Economy and Society, 2015, 8(2):141-148.
[4]
李艳, 陈雯, 孙阳.关联演化视角下地理学区域韧性分析的新思考[J]. 地理研究, 2019, 38(7):1694-1704. [Li Yan, Chen Wen, SunYang. New reflections on the analysis of regional resilience in geographical sciences from a relational-dynamic perspective[J]. Geographical Research, 2019, 38(7):1694-1704.]
[5]
Giannakis E, Bruggeman A. Regional disparities in economic resilience in the European Union across the urban-rural divide[J]. Regional Studies, 2020, 54(9):1200-1213.
[6]
宗会明, 张嘉敏, 刘绘敏.COVID-19疫情冲击下的中国对外贸易韧性格局及影响因素[J]. 地理研究, 2021, 40(12):3349-3363. [Zong Huiming, Zhang Jiamin, Liu Huimin. Spatial pattern and influencing factors of China's foreign trade resilience under the COVID-19 pandemic[J]. Geographical Research, 2021, 40(12):3349-3363.]
[7]
刘逸, 纪捷韩, 张一帆, 等.粤港澳大湾区经济韧性的特征与空间差异研究[J]. 地理研究, 2020, 39(9):2029-2043. [Liu Yi, Ji Jiehan, Zhang Yifan, et al. Economic resilience and spatial divergence in the Guangdong-Hong Kong-Macao Greater Bay Area in China[J]. Geographical Research, 2020, 39(9):2029-2043.]
[8]
丁建军, 王璋, 柳艳红, 等.中国连片特困区经济韧性测度及影响因素分析 [J]. 地理科学进展, 2020, 39(6): 924-937. [Ding Jianjun, Wang Zhang, Liu Yanhong, et al. Measurement of economic resilience of contiguous poverty-stricken areas in China and influencing factor analysis[J]. Progress in Geography, 2020, 39(6):924-937.]
[9]
李玉恒, 黄惠倩, 宋传垚.中国西南贫困地区乡村韧性研究——以重庆市为例[J]. 人文地理, 2022, 37(5):97-105. [Li Yuheng, Huang Huiqian, Song Chuanyao. Rural resilience in impoverished areas of southwest China: A case study of Chongqing[J]. Human Geography, 2022, 37(5):97-105.]
[10]
关皓明, 张平, 刘文, 等.基于演化弹性理论的中国老工业城市经济转型过程比较[J]. 地理学报, 2018, 73(4):771-783. [Guan Haoming, Zhang Ping, Liu Wen, et al. A comparative analysis of the economic transition process of China's old industrial cities based on evolutionary resilience theory[J]. Acta Geographica Sinica, 2018, 73(4):771-783.]
[11]
Hu X, Hassink R. Exploring adaptation and adaptability in uneven economic resilience: A tale of two Chinese mining regions[J]. Cambridge Journal of Regions, Economy and Society, 2017, 10(3):527-541.
[12]
胡晓辉, 张文忠.制度演化与区域经济弹性——两个资源枯竭型城市的比较[J]. 地理研究, 2018, 37(7): 1308-1319. [Hu Xiaohui, Zha-ng Wenzhong. Institutional evolution and regional economic resilience: A comparison of two resource-exhaused cities in China [J]. Geographical Research, 2018, 37(7):1308-1319.]
[13]
Hu X, Hassink R. Place leadership with Chinese characteristics? A case study of the Zaozhuang coal-mining region in transition[J]. Regional studies, 2017, 51(2):224-234.
[14]
谭俊涛, 赵宏波, 刘文新, 等.中国区域经济韧性特征与影响因素分析[J]. 地理科学, 2020, 40(2):173-181. [Tan Juntao, Zhao Hongbo, Liu Wenxin, et al. Regional economic resilience and influencial mechanism during economic crises in China[J]. Scientia Geographica Sinica, 2020, 40(2):173-181.]
[15]
Folke C. Resilience: The emergence of a perspective for socialecological systems analyses[J]. Global Environmental Change: Human and Policy Dimensions, 2006, 16(3):253-267.
[16]
Martin R, Sunley P, Gardiner B, et al. How regions react to recessions: Resilience and the role of economic structure[J]. Regional Studies, 2016, 50(4):561-585.
[17]
Davies S. Regional resilience in the 2008—2010 downturn: Comparative evidence from European countries[J]. Cambridge Journal of Regions, Economy and Society, 2011, 4(3):369-382.
[18]
周侃, 刘宝印, 樊杰.汶川Ms8.0地震极重灾区的经济韧性测度及恢复效率[J]. 地理学报, 2019, 74(10):2078-2091. [Zhou Kan, Liu Baoyin, Fan Jie. Economic resilience and recovery efficiency in the severely affected area of MS 8.0 Wenchuan earthquake[J]. Acta Geographica Sinica, 2019, 74(10):2078-2091.]
[19]
李连刚, 张平宇, 谭俊涛等.韧性概念演变与区域经济韧性研究进展[J]. 人文地理, 2019, 34(2):1-7, 151. [Li Liangang, Zhang Pingyu, Tan Juntao. Review on the evolution of resilience concept and research progress on regional economic resilience[J]. Human Geography, 2019, 34(2):1-7, 151.]
[20]
彭荣熙, 刘涛, 曹广忠.中国东部沿海地区城市经济韧性的空间差异及其产业结构解释[J]. 地理研究, 2021, 40(6):1732-1748. [Peng Rongxi, Liu Tao, Cao Guangzhong. Spatial pattern of urban economic resilience in eastern coastal China and industrial explanations [J]. Geographical Research, 2021, 40(6):1732-1748.]
[21]
吴吉东, 李宁, 周扬, 等.灾害恢复度量框架——Katrina飓风灾后恢复应用案例[J]. 自然灾害学报, 2013, 22(4):58-64. [Wu Jidong, Li Ning, Zhou Yang, et al. Disaster recovery measurement framework: An application case of disaster recovery after hurricane Katrina[J]. Journal of Natural Disasters, 2013, 22(4):58-64.]
[22]
Zhao S, Chen H. Modeling the epidemic dynamics and control of COVID-19 outbreak in China[J]. Quantitative Biology, 2020, 8(1): 11-19.
Liu Y H, Liu W Y, Zhang X Y, et al. Nighttime light perspective in urban resilience assessment and spatiotemporal impact of COVID-19 from January to June 2022 in mainland China[J]. Urban Climate, 2023:101591. https://doi.org/10.1016/j.uclim.2023.101591.
[25]
李德仁, 李熙.论夜光遥感数据挖掘[J]. 测绘学报, 2015, 44(6):591-601. [Li Deren, Li Xi. An overview on data mining of nighttime light remote sensing[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(6):591-601.]
[26]
Keola S, Andersson M, Hall O. Monitoring economic development from space: Using nighttime light and land cover data to measure economic growth[J]. World Development, 2015, 66:322-334.
[27]
Christopher D. Elvidge, Daniel Ziskin, Kimberly E. Baugh, et al. A fifteen year record of global natural gas flaring derived from satellite data[J]. Energies, 2009, 2(3):595-622.
[28]
田健, 曾穗平.城市边缘区乡村产业系统风险评估与韧性格局重构——以天津市西郊乡村地区为例[J]. 城市规划, 2021, 45(10):19-30, 58. [Tian Jian, Zeng Huiping. Systematic risk assessment and resilient pattern reconstruction of rural industry in urban fringe areas: A case study on the western suburbs of Tianjin city[J]. City Planning Review, 2021, 45(10):19-30, 58.]
[29]
石忆邵, 吴婕.上海城乡经济多样化测度方法及其演变特征[J]. 经济地理, 2015, 35(2):7-13. [Shi Yishao, Wu Jie. Measuring methods and evolution features of urban-rural economic diversification in Shanghai[J]. Economic Geography, 2015, 35(2):7-13.]
[30]
高粼彤, 孟霏, 田启波. 中国经济韧性时空演化及影响因素研究——基于数字金融视角[J]. 经济问题探索, 2022(8):57-74. [Gao Qiantong, Meng Fei, Tian Qibo. Study on the temporal and spatial evolution and influencing factors of China's economic resilience: From the perspective of digital finance[J]. Inquiry into Economic Issues, 2022(8):57-74.]
[31]
Boschma R. Towards an evolutionary perspective on regional resilience[J]. Regional Studies, 2014, 49(5):733-751.
[32]
Angulo A M, Mur J, Trívez F J. Measuring resilience to economic shocks: An application to Spain[J]. The Annals of Regional Science, 2018, 60(2):349-373.
[33]
杨勇, 邹永广, 李媛, 等.疫情冲击下我国省域旅游经济韧性空间差异与组态影响研究[J]. 地理与地理信息科学, 2022, 38(5):111-120. [Yang Yong, Zou Yongguang, Li Yuan, et al. Configurational analysis and spatial difference of provincial tourism economy resilience under the impact of epidemic in China[J]. Geography and GeoInformation Science, 2022, 38(5):111-120.]
[34]
Di Caro P. Testing and explaining economic resilience with an application to Italian regions[J]. Paper in Regional Science, 2017, 96(1):93-113.
[35]
李连刚, 张平宇, 程钰, 等.黄河流域经济韧性时空演变与影响因素研究[J]. 地理科学, 2022, 42(4):557-567. [Li Liangang, Zhang Pingyu, Cheng Yu, et al. Spatio-temporal evolution and influencing factors of economic resilience in the Yellow River Basin[J]. Scientia Geographica Sinica, 2022, 42(4):557-567.]
[36]
陆铭, 欧海军.高增长与低就业：政府干预与就业弹性的经验研究[J]. 世界经济, 2011, 34(12):3-31. [Lu Ming, Ou Haijun. High growth and low employment: An empirical study of government intervention and employment elasticity[J]. The Journal of World Economy, 2011, 34(12):3-31.]
[37]
黄杰, 李倩倩, 钟朋舒.中国八大城市群经济韧性的空间差异与动态演进[J]. 统计与决策, 2022, 38(17):91-96. [Huang Jie, Li Qianqian, Zhong Pengshu. Spatial differences and dynamic evolution of economic resilience in China's eight major urban agglomerations [J]. Statistics & Decision, 2022, 38(17):91-96.]
赵东霞, 韩增林, 王利, 等. 环渤海地区产业地域分工的基本格局[J]. 经济地理, 2015, 35(6):8-16. [Zhao Dongxia, Han Zenglin, Wang Li, et al. The basic pattern about regional industrial division of Bohai Rim[J]. Economic Geography, 2015, 35(6):8-16.]
[40]
鲁莎莎, 刘彦随, 秦凡.环渤海地区农业地域功能演进及其影响因素[J]. 地理学报, 2019, 74(10):2011-2026. [Lu Shasha, Liu Yansui, Qin Fan. Spatio-temporal differentiation of agricultural regional function and its impact factors in the Bohai Rim region[J]. Acta Geographica Sinica, 2019, 74(10):2011-2026.]
[41]
张学波, 于伟, 张亚利, 等.京津冀地区经济增长的时空分异与影响因素[J]. 地理学报, 2018, 73(10):1985-2000. [Zhang Xuebo, Yu Wei, Zhang Yali, et al. Spatial-temporal differentiation and its influencing factors of regional economic growth in Beijing-Tianjin-Hebei region[J]. Acta Geographica Sinica, 2018, 73(10):1985-2000.]
[42]
袁丰, 熊雪蕾, 徐紫腾, 等.长江经济带经济韧性空间分异与驱动因素[J]. 地理科学进展, 2023, 42(2):249-259. [Yuan Feng, Xiong Xuelei, Xu Ziteng, et al. Spatial differentiation and driving factors of economic resilience in the Yangtze River Economic Belt, China[J]. Progress in Geography, 2023, 42(2):249-259.]
[43]
白立敏, 修春亮, 冯兴华, 等.中国城市韧性综合评估及其时空分异特征[J]. 世界地理研究, 2019, 28(6):77-87. [Bai Limin, Xiu Chunliang, Feng Xinghua, et al. A comprehensive assessment of urban resilience and its spatial differentiation in China[J]. World Regional Studies, 2019, 28(6):77-87.]
[44]
徐圆, 张林玲.中国城市的经济韧性及由来:产业结构多样化视角[J]. 财贸经济, 2019, 40(7):110-126. [Xu Yuan, Zhang Linling. The economic resilience of Chinese cities and its origin: From the perspective of diversification industrial structure[J]. Finance & Trade Economics, 2019, 40(7):110-126.]
[45]
胡立君, 薛福根, 王宇.后工业化阶段的产业空心化机理及治理——以日本和美国为例[J]. 中国工业经济, 2013(8):122-134. [Hu Lijun, Xue Fugen, Wang Yu. Industrial hollowing mechanism and governance in post-industrial stage: A case study of Japan and America[J]. China Industrial Economics, 2013(8):122-134.]
2024, Vol. 39 
