County Manufacturing Upgrading Impact Dataset of Turning Counties into Districts in China (1998-2015)
QIAO Yibo1HE Canfei2,3
1 School of Architecture and Urban Planning，Nanjing University，Nanjing 210093，China2 College of Urban and Environmental Sciences，Peking University，Beijing 100871，China3 Peking University-Lincoln Institute Center for Urban Development and Land Policy，Beijing 100871，China
DOI:10.3974/geodb.2023.10.05.V1
Published:Oct. 2023
Visitors：2700 Data Files Downloaded：85
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Key Words：
Turning Counties into Districts; manufacturing upgrading; industrial evolution; China
Abstract：
The county manufacturing upgrading Impact dataset of turning counties into districts in China (1998-2015) was developed based on the Annual Survey of Industrial Firms (1998-2015), and the Changes in Administrative Divisions above the County Level (1998-2015) published by the Ministry of Civil Affairs of the People's Republic of China, and the analysis model. The region covers 1110 counties and 376 four-digit industries ranging from 1998 to 2015. The dataset includes: (1) county-level industry entry and exit (variables: entry and exit); (2) industrial knowledge complexity in 1998 (complexity); (3) counties which were turned into districts (ctd); (4) county-level industrial relatedness density (relden); (5) county-level industry size (size); (6) regression result of impact of turning counties into districts on manufacturing upgrading. The dataset is archived in .rds and .xlsx formats, and consists of 2 data files with data size of 108 MB. The analysis paper based on this dataset will be published in Acta Geographica Sinica, Vol. 78, 2023.
Foundation Item：
National Natural Science Foundation of China (52378059, 52278066, 42171169)
Data Citation：
QIAO Yibo, HE Canfei. County Manufacturing Upgrading Impact Dataset of Turning Counties into Districts in China (1998-2015)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.10.05.V1.
References：
[1] Li, X., Xu, X. X. Impact analysis of turning counties (cities) into districts to the urban economic growth in China [J]. Acta Geographica Sinica, 2015, 70(8): 1202-1214.
[2] Deng, H., Pan, X. How does the "big country and big city" drive industrial upgrading: Evidence from turning counties to districts [J]. World Economic Papers, 2020(6): 88-103.
[3] Hidalgo, C. A., Hausmann, R. The building blocks of economic complexity [J]. Proceedings of the National Academy of Sciences, 2009, 106(26): 10570-10575.
[4] Balland, P. A, Boschma, R., Crespo, J., et al. Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification [J]. Regional Studies, 2019, 53(9): 1252-1268.
[5] He, C., Yan, Y., Rigby, D. Regional industrial evolution in China [J]. Papers in Regional Science, 2018, 97(2): 173-198.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
Impact_Counties_Districts_1998-2015.rar |
109872.88KB |
|