The impact of market integration on the digital divide: An analysis based on the heterogeneous effect of innovation resource synergy
Data files
Jan 30, 2024 version files 180.27 KB
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data_20231013.dta
176.01 KB
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README.md
4.26 KB
Abstract
Resource market reforms have provided opportunities for reducing the digital divide (DD). In this study, we analyzed the theoretical mechanism of the impact of market integration (MI) on DD and the intermediary role of innovation resource (IR) synergy. Data from 271 cities in China were collected, and the DEA–Malmquist index and Thiel index were utilized to quantify DD among these cities during 2011–2019. The intermediary effect and SDM models were adopted for an empirical analysis. The results showed that (1) MI had a negative effect on DD in addition to significant spatial spillover effects. MI widened DD in the local city but narrowed the same in the adjacent cities. (2) IR synergy exerted positive intermediary effects, which were heterogeneous. Through human resource synergy, MI narrowed DD, through knowledge synergy, MI widened DD, and through the R&D capital synergy, MI did not significantly influence DD. (3) There was no significant spatial spillover effect of the intermediary role of IR synergy.
README
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Provenance for this README
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* File name: README.txt
* Authors: Shujuan Wu
* Other contributors: Jinting Li, Daqian Huang, Jianhua Xiao
* Date created: 2023-07-03
* Date modified: 2024-01-28
Dataset Version and Release History
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* Current Version:
* Number: 1.0.0
* Date: 2024-01-28
* Persistent identifier: https://doi.org/10.5061/dryad.xgxd254mj
* Summary of changes: n/a
* Embargo Provenance: n/a
* Scope of embargo: n/a
* Embargo period: n/a
Dataset Attribution and Usage
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* Dataset Title: Data for the article "The impact of market integration on the digital divide: An analysis based on the heterogeneous effect of innovation resource synergy"
* Persistent Identifier: https://doi.org/10.5061/dryad.xgxd254mj
* Dataset Contributors:
* Creators: Shujuan Wu, Jinting Li, Daqian Huang, Jianhua Xiao
* Date of Issue: 2024-
* Publisher: Princeton University
* License: Use of these data is covered by the following license:
* Title:
* Specification:
* Suggested Citations:
* Dataset citation: Wu, Shujuan (Forthcoming 2024). The impact of market integration on the digital divide: An analysis based on the heterogeneous effect of innovation resource synergy [Dataset]. Dryad. https://doi.org/10.5061/dryad.xgxd254mj
* Corresponding publication: Wu SJ, Li JT, Huang DQ and Xiao JH. 2022. The impact of market integration on the digital divide: An analysis based on the heterogeneous effect of innovation resource synergy. Accepted.
Contact Information
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* Name: Shujuan Wu
* Affiliations: Economy and Management College, Wuyi University
* ORCID ID: https://orcid.org/0000-0002-7789-3519
* Email: jane333444@126.com
* Alternate Email: wushujuan@wyu.edu.cn
* Address: e-mail preferred
* Contributor ORCID IDs:
* Shujuan Wu: https://orcid.org/0000-0002-7789-3519
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Additional Dataset Metadata
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Acknowledgements
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* Funding sources: The 2021 General Project of Guangdong Philosophy and Social Sciences Planning*, Award: GD21CYJ28
The 13th Five-year plan of Educational Science in Guangdong Province, Award: 2020GXJK105
Ministry of Education of the People's Republic of China, Award: 21YJA630097, Humanities and Social Science Research Planning Fund Project
Wuyi University, Award: 2021WGALH20, Hong Kong and Macao Joint Research and Development Fund.
Dates Collection and Sources
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* Dates of data collection: Field data collected between May and November in 2022 and 2023
* Geographic locations of data collection: China (see publication for more details)
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Methodological Information
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* Methods of data collection/generation: see manuscript for details
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Data and File Overview
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Summary Metrics
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* File count: 1
* Total file size: 183 KB
* File formats: .dta
Table of Contents
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* data_20231013.dta
Setup
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* Unpacking instructions: n/a
* Recommended software/tools: Stata 16.0
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File/Folder Details
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Details for: data_20231013.dta
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* Description: data_20231013.dta is penal data of 271 listed digital enterprises in China in the study. The file is currently formatted for use with Stata 16.0.
* Format(s): .dta
* Size(s): 183 KB
* Dimensions: 16 rows x 2439 columns
* Variables:
- year: year (YYYY) to which the data value belongs
- cityno: Number of the cities
- dd: digital divide
- frd: R&D fund synergy value
- fhr: Human resource synergy valu
- fkn: Knowledge synergy value
- cir: composite synergy index of innovation resources
- tfp: Total factor productivity
- market: market intergration
- lnmarket: Logarithm of market intergration
- ecoopen: Economic openness
- innenv: Innovation environment
- indstr: Industrial coordination degree
- urban: Urbanization level
- lnmanglab: Logarithm of transaction system quality value
* Missing data codes: missing genotypes are coded as individual zeroes ("0")
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END OF README
Methods
For the selection of spatial scope, missing data were excluded from the national list of cities, resulting in 271 cities. Most empirical data were sourced from the China Statistical Yearbook, China Science and Technology Statistical Yearbook, the statistical yearbooks of provinces (municipals and districts) and cities, the web of Mark Data (https://www.macrodatas.cn/). The expedition period was between the year 2011 to 2019 owing to the availability of data.
|
Type of variable |
Variable |
Index |
Proxy Variables |
Data source |
|
Dependent variable |
Variables for measuring the efficiency of DE |
Input: Labor |
Number of employees in information transmission, computer services, and software industries |
The China Statistical Yearbook |
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|
|
Output: Total telecom services revenue |
Total telecom services revenue |
The webpage of Mark Data |
|
|
|
Output: DE output |
DE index |
The webpage of Mark Data |
|
|
DE efficiency |
Total factor productivity |
Total factor productivity |
/ |
|
|
DD |
Thiel index |
Thiel index |
/ |
|
Intermediary variable |
Degree of intercity IR collaboration |
R&D fund synergy value |
R&D fund synergy value |
China Science and Technology Statistical Yearbook |
|
|
|
HR synergy value |
HR synergy value |
China Science and Technology Statistical Yearbook |
|
|
|
Knowledge synergy value |
Knowledge synergy value |
China Science and Technology Statistical Yearbook |
|
|
|
composite synergy index of IRs |
Composite synergy index of IRs |
/ |
|
Independent variable |
MI |
MI Index |
MI Index |
/ |
|
Control variable |
Economic openness |
Trade |
Total import and export trade (100 million yuan) |
The China Statistical Yearbook |
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|
|
Investment transactions |
Foreign capital level: Actual amount of foreign capital used (USD 10,000) |
The China Statistical Yearbook |
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|
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Number of foreign enterprises: Number of foreign direct investment enterprises |
The China Statistical Yearbook |
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|
Factor flow |
Freight volume (10,000 tons) |
The China Statistical Yearbook |
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|
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|
Passenger traffic volume (10,000 tons) |
The China Statistical Yearbook |
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|
Transaction system quality |
Market stability maintenance capability |
Ratio of the number of employees in public management and social organizations to the total population (%) |
The China Statistical Yearbook |
|
|
Industrial coordination degree |
Advanced industrial structure |
Ratio of tertiary industry output value to secondary industry output value (%) |
The China Statistical Yearbook |
|
|
Urbanization level |
Social urbanization |
Lighting index of urbanization level |
The Harvard Dataverse |
|
|
Innovation environment |
R&D personnel input |
Number of full-time teachers in ordinary colleges and universities (per person) |
The China Statistical Yearbook |