scholarly journals The Impact of Technological Innovation on Economic Growth: Evidence from China

2021 ◽  
Author(s):  
Xiaowei Wang ◽  
Lingwen Xu
Keyword(s):  
Economic Growth ◽  
Technological Innovation ◽  
The Impact

scholarly journals Research on the Impact of Environmental Regulation and Technology Innovation on the Quality of Economic Growth

2021 ◽  
Author(s):  
Qingyang Wu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Environmental Regulations ◽  
Threshold Model ◽  
Fixed Effect Model ◽  
Paper Test ◽  
The Impact

Abstract：This paper uses the balanced panel data from 29 provinces (autonomous regions and municipalities) in China for a total of 17 years from 2000 to 2016 as a research sample, and establishes an empirical model to examine the impact of environmental regulations and technological innovation on the quality of economic growth. Then this paper test technological innovation as a threshold variable, in which play a regulatory role. Taking the provincial balanced panel data as a research sample, a fixed effect model, a system GMM model, and a panel threshold model were established for empirical testing and the robustness test. Based on the empirical results, this article draws the following conclusions: from a national perspective, environmental regulations and technological innovation can significantly promote the quality of economic growth; from a regional perspective, there are regional differences in impact effects. Under the constraints of environmental regulations, the promotion effect of technological innovation on the quality of economic growth will be reduced; the impact of environmental regulation on the quality of economic growth will have a "threshold effect", and environmental regulation can significantly promote the quality of economic growth only after crossing the threshold and the threshold of technological innovation.

scholarly journals Research of the synergetic Effects of the Impact of Innovative and Related Macroeconomic Factors on Economic Growth

2021 ◽  
Vol 25 (4) ◽  
pp. 98-109
Author(s):  
B. D. Matrizaev
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Technological Innovation ◽  
Positive Impact ◽  
Innovation Policy ◽  
Coordinated Development ◽  
Macroeconomic Factors ◽  
Long Run ◽  
Stable Growth ◽  
The Impact

This article examines the main mechanisms and tools for implementing innovation policy in countries with fastgrowing economies such as China and India. The study aims to explore the causal relationship between innovation, key macroeconomicvariables and economic growth.The author applies the entropy method and adapts the Graymodel to build a system of indices for assessing the coordination of the interaction of technological innovation, financial development and economic growth. The results show that the degree of integration of the financial system into innovation processes has a significant positive impact on the success of innovation, which is measured by patent activity. Our research proves that innovation indirectly affects economic growth through quality of life, infrastructure efficiency, employment, and rade openness. The findings of the research reveal that both economic growth and innovation tend to depend on a number of conjugate variables in the long run: capital, labor, etc. The author concludes that a comprehensive analysis of technological innovation, financial development and economic growth shows that the three-factor relationship has great potential for coordinated development, as a result of which, according to the calculated forecasts, economic growth in fast-growing economies will significantly accelerate its pace in the next five years. The subject of further research may be an analysis of whether the degree of conjugation of connectivity and coordination between the three systems will maintain stable growth at high values and whether they will be able to reach the stage of transformation.

scholarly journals The Impact of Higher Education and Human Capital Quality on “Local-Neighborhood” Economic Growth

2021 ◽  
Vol 8 (1) ◽  
pp. 1041-1057
Author(s):  
Ran Zhao ◽  
Yuhong Du
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Technological Innovation ◽  
River Delta ◽  
Neighborhood Effect ◽  
Local Neighborhood ◽  
Catch Up ◽  
The Impact

Based on China’s provincial panel data from 1990 to 2017 and the improved Lucas, Nelson & Phelps model, the Spatial Dubin Model is used to test the spatial effects of higher education and human capital quality. The results showed that high-level human capital, characterized by higher education and urban labor income index, indirectly promoted local economic growth through technological innovation. There was also a “local-neighborhood” synergy effect. The neighborhood effect was manifested in that it affected the economic development of neighbors by promoting technological catch-up. After considering the quality factor, both the local and neighborhood effects were enhanced. From a regional perspective, higher education in the Yangtze River Delta, where the level of economic development is relatively high, was manifested as a spatial spillover effect of technological innovation and the neighborhood effect in the northeastern Bohai Rim and the Pearl River Delta was manifested as a technological catch-up.

Relationships between fluctuations of environmental regulation, technological innovation, and economic growth: a multinational perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zaiyang Xie ◽  
Liang Qu ◽  
Runhui Lin ◽  
Qiutong Guo
Keyword(s):  
Economic Growth ◽  
Environmental Regulation ◽  
Technological Innovation ◽  
Negative Impact ◽  
Oecd Country ◽  
Mediating Effect ◽  
Content Type ◽  
Innovation Activities ◽  
Continuous State ◽  
The Impact

PurposeEnvironmental regulation is in a continuous state of intense change and modification amid the long-term tensions between environmental protection and economic growth. In this article, the authors creatively investigate how fluctuations of environmental regulation influence a nation's economic growth while also examining the mediating effect of technological innovation.Design/methodology/approachUsing sample data of 36 Organisation for Economic Co-operation and Development (OECD) countries from 2013 to 2018, environmental regulation is differentiated in two aspects of formal environmental regulation (FER) and informal environmental regulation (IER) and analyzed to assess the effects of regulatory fluctuations on investment and technological innovation.FindingsThe research results demonstrate that both FER fluctuation and IER fluctuation exert a significant negative impact on economic growth. These two fluctuations in environmental regulation increase uncertainty and unpredictable risks for corporations and investors, significantly stifling the willingness to contribute to innovation activities and leading to a diminished level of innovation. Technological innovation is revealed to have a mediating influence on the relationship of environmental regulation fluctuation to economic growth.Originality/valueThese findings enrich the research on the impact of environmental regulation from a dynamic, multinational perspective, contributing to the literature by exploring the relationships between environmental regulation fluctuation, technological innovation and economic growth at the OECD-country level.

scholarly journals Research on the impact of economic growth and technological innovation on carbon emissions from the perspective of space

2021 ◽  
Vol 275 ◽  
pp. 02014
Author(s):  
Bingwen Bao ◽  
Beiqiao Lin
Keyword(s):  
Economic Growth ◽  
Technological Innovation ◽  
Carbon Emissions ◽  
Positive Response ◽  
Geographic Distance ◽  
Spillover Effect ◽  
Economic Activities ◽  
Vector Autoregressive ◽  
Response Characteristics ◽  
The Impact

As many economic activities have a spatial spillover effect on carbon emissions, this paper selects the data of various provinces and cities from 2003 to 2017 to construct a spatial vector autoregressive model to analyze and study the effects of economic growth and technological innovation on carbon emissions from a spatial perspective. The results of the study found that carbon emissions, economic growth, and technological innovation generally showed positive response characteristics after being impacted by each other in time, but they weakened over time. In space, carbon emissions will also increase with geographic distance, and the response received will continue to weaken.

Can technological innovation spur economic development? The case of Indonesia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eddy Junarsin ◽  
Mamduh Mahmadah Hanafi ◽  
Nofie Iman ◽  
Usman Arief ◽  
Ahmad Maulin Naufa ◽  
...  
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Technological Innovation ◽  
Optimal Allocation ◽  
Empirical Studies ◽  
Delayed Effect ◽  
Optimal Point ◽  
Content Type ◽  
P2p Lending ◽  
The Impact

Purpose Innovation in digital technologies has been the main force in promoting growth and inclusion. However, the impact of such innovations remains ambiguous. Within this context, this study aims to analyze the distribution of digitally empowered peer-to-peer (P2P) lending in Indonesia. Design/methodology/approach This study uses a quantitative approach to estimate the impact of technological innovation in promoting economic development. In particular, this study employs empirical panel data from 135 financial technology (FinTech) companies from 2015 to 2019 and use the dynamic panel threshold regression approach. This study collects secondary data to build the estimated model. Findings Contrary to conventional wisdom, this study’s evidence suggests that there is a delayed effect between the contribution of P2P lending by FinTech firms on economic growth in the country. While the immense growth of FinTech seems promising, the findings indicate that FinTech is far from its optimal point. This study calculates the optimal combination between productive and consumptive lending and between Java and non-Java. In view of this finding, this study proposes strategies to effectively distribute lending and bring about the expected benefit to the economy. Practical implications Since the contribution of P2P lending on economic development has not reached its optimum, the findings expose the limitation of current technological innovation in the financial sectors. In this sense, P2P penetration on the financing market needs encouragement. The calculations for optimal allocation between productive and consumptive and between Java and non-Java provide guidance to policymakers. This study helps practitioners to shape strategy and to begin experimenting with different approaches to distribute loans effectively. Originality/value To the best of the authors’ knowledge, there are no empirical studies that examine the impact of emerging FinTech companies in promoting economic growth and financial development. The findings close this research gap, especially in regard to innovation management literature, and provide insights for practitioners, policymakers and regulators.

scholarly journals Technology or Institutions: Which Is the Source of Green Economic Growth in Chinese Cities?

2021 ◽  
Vol 13 (19) ◽  
pp. 10934
Author(s):  
Jing Han ◽  
Xi Chen ◽  
Yawen Sun
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Total Factor Productivity ◽  
Technological Innovation ◽  
Institutional Innovation ◽  
Green Economy ◽  
Productivity Index ◽  
Factor Productivity ◽  
Urban Green ◽  
The Impact

To relax the increasingly tight resource and environmental constraints on development, China needs to follow a pattern of growth that comprehensively encompasses economic growth, environmental protection, and resource conservation, namely, green economic growth. The key to achieving green economic growth is to improve green total factor productivity, of which technological innovation and institutional innovation are the primary driving forces. Based on the panel data of 266 cities in China from 2004 to 2018, this paper first uses the Directional Distance Function and Global Malmquist–Luenberger productivity index to measure the urban green total factor productivity to represent urban green economic growth; then, the impact of technological innovation and institutional innovation on urban green economic growth is studied by using the panel Granger causality test and SYS-GMM dynamic panel model. The results are described as follows: China’s urban green total factor productivity shows an increasing trend from 2004 to 2018, and the average growth rate of green total factor productivity is 3.27%, which is far lower than the average GDP growth rate of 9.14%; both technological innovation and institutional innovation can significantly promote the growth of the urban green economy, but institutional innovation has a greater role in promoting the growth of the urban green economy than technological innovation. In addition, the relationship between institutional innovation and urban green economic growth is more stable.

Sign in / Sign up

Export Citation Format

Share Document