Abstract
Against the background of globalization, institutional embeddedness has become an important theoretical tool to understand the changes in regional economic patterns. This paper starts by discussing the theory of location choice of enterprises and then uses the statistical method of negative binomial regression to analyze the impact factors of enterprises’ transfer from the perspective of institutional embeddedness by taking Guangdong Province, China, as a case study area. It was found that informal institutional factors such as the same language, the same industry, and geographical proximity have significant positive effects on the transfer of regional enterprises. Formal institutions such as counterpart assistance are the core driving force of enterprise transfer, while traditional economic factors such as cost comparative advantage have no significant impact on the transfer of regional enterprises. This research shows that the transfer of regional enterprises is greatly influenced by the current regional institutional environment. Therefore, it is important for future policy makers to consider the regional institutional environment and to deepen regional institutional embeddedness to advance urban and regional development.
Highlights
“Embeddedness” has become an effective theoretical tool to understand the process and mechanism of interactive coupling between transfer enterprises and host clusters, as well as global/cross-regional production networks [1]
The impact of the land price difference, total investment difference, and the labor cost difference between counties on enterprise transfer are not obvious. This conclusion is not consistent with the neoclassical theory of enterprise transfer guided by cost-saving, but it is internally consistent with the concept of “location stickiness” in economic sociology. It shows that enterprise transfer in Guangdong Province is mainly affected by regional institutional environment factors and the cost Is not the main factor of enterprise transfer The above results are significant when the ratio of sample variance to mathematical expectation is less than 1, which shows that the model results meet the requirements of negative binomial regression, and further proves the rationality of the regression equation setting
The research shows that the institutional arrangement of Counterpart Assistance is the main influencing factor on the transfer of enterprises between counties in Guangdong Province, which shows that government forces are still playing an important role in shaping the regional economic pattern
Summary
“Embeddedness” has become an effective theoretical tool to understand the process and mechanism of interactive coupling between transfer enterprises and host clusters, as well as global/cross-regional production networks [1]. This paper takes the industrial transfer of Guangdong Province as an example to demonstrate these To answer these questions, by crawling through the data of industrial land transactions in Guangdong Province from 2005 to June 2017, this paper obtains the inter-county enterprise transfer volume and the Guangdong dialect and river basin as the core explained variables, the counterpart assistance relationship as the formal institutional factor, and the industrial association and the proximity of counties as the informal institutional factor, supplemented by geographical distance and inter-county land Price differences, labor wage differences, and total investment differences as economic factors. It is found that the same language, the same local industrial base, Counterpart Assistance, and geographical proximity can improve institutional embeddedness This shows that institutional embeddedness can directly promote a firm’s migration but can be affected by the specific regional history and culture and the local industrial base. These mainly include location theory that emphasizes external factors (such as market price), behavior theory that emphasizes internal factors (such as enterprise-scale), and institutionalism theory that emphasizes social and cultural systems (such as trust, reciprocity, and cooperation) [46]
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