Year: 2019
Type: article
Abstract: Since China’s the Belt and Road Initiative, overseas industrial parks as an important carrier for economic and trade cooperation have become an important force for Chinese enterprises to go global. However, although there are many industrial parks invested by Chinese companies abroad, there is a lack of comprehensive statistical data on them that is crucial for national or corporate investors. It is difficult to search for the start-up time of some parks and the name of Chinese enterprises that are under construction, so comprehensive statistical work is relatively impossible. This paper collects data through the network crawling technology, the public number of the Belt and Road International Industrial Park, the official website of the major enterprises involving in the Belt and Road construction, and the database of the Ministry of Commerce. Based on the most comprehensive collection possible, we compiled a detailed dataset of the China Outland Campus Belt and Road Project from 1992 to 2018. At present, the data about a total of 182 parks have been collected, which are divided into six categories according to their types: agricultural industrial parks, light industrial parks, heavy industrial parks, high-tech parks, logistics cooperative parks and comprehensive industrial parks. The main contents include: whether the park-based countries have joined the AIIB and joins the AIIB time, the continents, regions and countries where the industrial park is located, development conditions of the country, industrial park names, the names of Chinese cooperative enterprises, enterprise identification codes, industrial park categories and the starting years of construction of the industrial parks. The data have been verified as a whole, and the overall data consistency was 99.23%. The collection of this data is conducive to providing medium and long-term prospects for the development planning of the Belt and Road overseas parks, which is conducive to providing reliable information for government departments to make decisions, and is beneficial to providing reference for Chinese enterprises to go out and reducing the risk of Chinese enterprises going global.
Source: China Scientific Data
Authors: Humei Li, Mingquan Wu, Zheng Niu, Qi Li
Language: English
Topic: Belt and Road Initiative
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4402284091