Abstract

This paper applies a spatial econometric model to measure the impact of environmental regulation on urban innovation capacity from a spatial interaction perspective by using panel data from 41 cities in the Yangtze River Delta urban agglomeration from 2009 to 2018. The study findings are as follows: first, environmental regulation has a significant positive impact on urban innovation capacity and a significant positive spatial spillover effect; second, innovation capacity has significant positive spatial dependence; third, city informatization level, government expenditures on science and technology, city economic scale, and industrial development level all positively affect the innovation capacity of neighboring cities and all have positive spatial spillover effects on the innovation capacity of neighboring cities; and finally, city expansion reduces the innovation capacity of a city and has negative spatial spillover effects on the innovation capacity of neighboring cities.

Highlights

  • Based on the findings and shortcomings of existing studies, this paper explores whether environmental regulation effectively stimulates urban innovation capacities from the perspective of spatial interaction

  • This paper mainly applies a spatial econometric model to empirically test the spatial relationship between environmental regulation and urban innovation capacity

  • By testing the likelihood ratio of the spatial econometric model (Table 4), we found that the p-values of the LR test results for both regional fixed effects and time fixed effects were significant at the 1% level

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Summary

Methods

We present an overview of the study area, the selection and treatment of research variables, the selection and design of the empirical model and the data sources.This paper mainly applies a spatial econometric model to empirically test the spatial relationship between environmental regulation and urban innovation capacity. 3.1. We present an overview of the study area, the selection and treatment of research variables, the selection and design of the empirical model and the data sources. This paper mainly applies a spatial econometric model to empirically test the spatial relationship between environmental regulation and urban innovation capacity. With the rapid progress of urbanization in China, the number and scale of cities are expanding, and the connection between cities is growing closer and closer, as urban agglomerations have become the mainstream and trend of urban development [29]. The Yangtze River Delta urban agglomeration is the most dynamic and potential core area in China’s economic development as well as being the only world-class urban agglomeration in China. In this paper, the Yangtze River Delta urban agglomeration was selected as the research area to study the impact of environmental regulation on urban innovation capacity

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