Research on the Spatial Spillover Effect of Ecological Innovation Ability and Regional Economic Growth

Abstract

This article using the spatial econometric analysis technology to build a space from the perspective of geographical feature weighting matrix, spatial correlation of the regional economic growth and integration, to explore the ecological innovation capacity and regional spatial spillover effect of economic growth, and using the spatial regression model decomposition of the partial differential method of actual effect based on 2009-2017 panel data from 29 provinces cities and autonomous regions in China. Based on the data of 29 provinces and cities in China from 2009 to 2017, this paper constructs the spatial weight matrix from the perspective of geographical features, establishes the spatial panel econometric model, and investigates the spatial correlation and clustering of regional economic growth uses spatial econometric analysis technology. We explore the spatial spillover effect of ecological innovation ability and regional economic growth, and uses the partial differential method of spatial regression model to decompose this effect. The results show that, firstly, China’s regional economic development is not balanced, and the economic development of neighboring regions is basically the same, which has a certain degree of spatial agglomeration and significant spatial correlation, and China’s economic growth has significant spatial heterogeneity. Second, the ecological innovation environment has a great spillover effect on the economic growth of neighboring regions, and the human resource level and capital investment have significant positive spillover effect between neighboring regions. The coefficient of ecological innovation output is significantly negative. Thirdly, the regional flows of capital input, labor force, the level of opening up, industrial structure and human capital not only have obvious direct effects, but also have a significant promoting effect on economic growth through the spatial spillover effect. The conclusion of this paper provides policy enlightenment for promoting sustainable economic growth among provinces and regions in China.

An Analysis of the Effects of Spatial Dependence on Economic Growth Among Regencies and Cities in Java

“…In the context of multi-national dependence, Ertur & Koch (2007) and Fischer (2011) found the impact of such dependence on the economic growth of 91 countries from 1960 to 1995 and of 198 regions from 22 European countries from 1995 to 2004. Then, Sun et al (2017) and Wang et al (2021) also found the significant role of spatial dependence on economic growth among prefectures (from 1992 to 2010) and provinces (from 2009 to 2017) in China. In the Indonesian context, there are several researchers who have found the existence of spatial dependence in interregional economic growth; they are Aspiansyah & Damayanti (2019) at provincial level, Nurjanna et al (2020) at cross-regional level in Sulawesi, Miranti & Mendez (2022), Day & Lewis (2013), Ervina & Jaya (2018), Aritenang (2014), andSantos-Marquez et al (2022) across regions in national level, Wibisono & Kuncoro (2015), Rummaya et al (2005), Laksono et al (2018) across regions in East Java.…”