Dataset of Regional Economic Resilience and Industrial Evolution Path in China's Coastal Areas (2002-2017)
QU Yi1,2,3WU FangYi2,3LI Bo*2,3
1 Zhanjiang University of Science and Technology，Zhanjiang 524094，China2 Key Research Base of Humanities and Social Sciences of the Ministry Education，Center for Studies of Marine Economy and Sustainable Development，Liaoning Normal University，Dalian 116029，China3 University Collaborative Innovation Center of Marine Economy High-Quality Development of Liaoning Province，Dalian 116029，China
DOI:10.3974/geodb.2023.03.09.V1
Published:Mar. 2023
Visitors：2504 Data Files Downloaded：109
Data Downloaded：13.21 MB Citations：
Key Words：
Industrial evolution,path dependence,path creation,regional economic resilience,coastal areas of China
Abstract：
Coastal areas of China include provinces and regions of Liaoning, Hebei, Tianjin, Shandong, Jiangsu, Shanghai, Zhejiang, Fujian, Taiwan, Guangdong, Hong Kong, Macao, Guangxi and Hainan. The Dataset of Regional Economic Resilience and Industrial Evolution Path in China's Coastal Areas (2002-2017) was developed based on export product data and national economic accounting data of coastal areas in China (data of Hong Kong, Macao and Taiwan are unavailable), integrated with the calculating method of regional economic resilience proposed by Martin et al. (2016) and the method of identifying new industrial path dependence and path creation proposed by Coniglio et al. (2018). This dataset includes the following data in the coastal areas from 2002 to 2017: (1) regional economic resilience; (2) new industries of 2-digit HS codes; (3) industrial evolution path dependence; (4) industrial evolution path creation; (5) other variables affecting the regional economic resilience; (6) economic resilience and its influencing factors of major cities in Yangtze River Delta from 2002 to 2016. The dataset is archived in .xlsx format, and consists of one file with data size of 124 KB. The analysis paper based on this dataset will be coordinated published in Acta Geographica Sinica, Vol. 78, No. 4, 2023.Browse
Foundation Item：
National Natural Science Foundation of China (41976207, 42076222)
Data Citation：
QU Yi, WU FangYi, LI Bo*.Dataset of Regional Economic Resilience and Industrial Evolution Path in China's Coastal Areas (2002-2017)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.03.09.V1.
QU Yi, WU FangYi, LI Bo. Dataset of regional economic resilience and industrial evolution path in China’s coastal areas (2002-2017) [J]. Journal of Global Change Data & Discovery, 2023, 7(1): 40-47.
References：
[1] Guan, H. M., Yang, Q. S., Hao, F. L., et al. Economic resilience characteristics of Shenyang city based on a perspective of industry-enterprise-space [J]. Acta Geographica Sinica, 2021, 76(2): 415-427.
[2] Sun, J. W., Sun, X. Y. Research progress of regional economic resilience and exploration of its application in China [J]. Economic Geography, 2017, 37(10): 1-9.
[3] Shao, Y. W., Xu, J. Understanding urban resilience: A conceptual analysis based on integrated international literature review [J]. Urban Planning International, 2015, 30(2): 48-54.
[4] Han, Z. L., Zhu, W. C., Li, B. Research hotspots of regional resilience and the visualization of research frontiers [J]. Tropical Geography, 2021, 41(1): 206-215.
[5] Li, T. Y. New progress in study on resilient cities [J]. Urban Planning International, 2017, 32(5): 15-25.
[6] Zhao, R. D., Fang C. L., Liu H.M. Progress and prospect of urban resilience research [J]. Progress in Geography, 2020, 39(10): 1717-1731.
[7] Li, W., He, C. F. Regional new industrial development paths: A literature review and future development [J]. Regional economic review, 2020, (06): 12-24.
[8] Ma, L. Green industrial transformation path of Chinese coastal areas based on coupling types of industrial development with environment [J]. Geographical Research, 2018, 37(8): 1587-1598.
[9] Li, L. G., Zhang, P. Y., Tan, J. T., et al. Review on the evolution of resilience concept and research progress on regional economic resilience [J]. Human Geography, 2019, 34(2): 1-7, 151.
[10] Boschma, R. Towards an evolutionary perspective on regional resilience [J]. Regional Studies, 2015, 49(5): 733-751.
[11] Coniglio, N. D., Lagravinese, R., Vurchio, D., et al. The pattern of structural change: Testing the product space framework [J]. Industrial and Corporate Change, 2018, 27(4): 763-785.
[12] Li, W., He, C. F. New industries and urban economic growth: Perspective from evolutionary economic geography [J]. Urban Development Studies, 2020, 27(6): 51-61, 173.
[13] 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.
[14] Hidalgo, C. A., Klinger, B., Barabasi, A. L., et al. The product space conditions the development of nations [J]. Science, 2007, 317(5837): 482-487.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 0 | Datapaper_Res_EvolPath_CoastalChina.pdf | 895.00kb | DownLoad |
| 1 |
Res_EvolPath_CoastalChina.xlsx |
124.14KB |
|