Technological innovation on economic growth from the perspective of investment-oriented environmental regulations: considering the threshold effect of China human capital

2021 ◽  
pp. 1-14
Author(s):  
Z M Dai ◽  
Xiuheng Shen ◽  
Lu Guo
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Technological Innovation ◽  
Environmental Regulations ◽  
Threshold Effect

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 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.

ANALISIS FAKTOR PENENTU INOVASI TEKNOLOGI DI INDUSTRI PANGAN

2013 ◽  
Vol 14 (1) ◽  
Author(s):  
Dyan Vidyatmoko ◽  
Husni Yasin Rosadi ◽  
Susetyanto Susetyanto ◽  
Pudji Hastuti ◽  
Manifas Zubair
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Regression Analysis ◽  
Qualitative Analysis ◽  
Technological Innovation ◽  
Analytical Methods ◽  
Food Industry ◽  
Developed Countries ◽  
Empirical Observation ◽  
Depth Interviews

Despite the fact that technological innovation and its role in the economic growth of developed countries have been much studied, but there is only little knowledge about the factors that determine technological innovation in Indonesia. In an effort to fill this gap, this study is conducted with the aim to analyze the factors that affect innovation in the food industry inIndonesia. Analytical methods used to achieve the research objective are regression analysis with 2 SLS (Two Stage Least) method and qualitative analysis. The results showed that there sixteen factors that influence technological innovation in the Indonesian food industry. By usingfurther 2 SLS method, empirical observation, in-depth interviews and discussions with experts, it is obtained the strong of technological innovation determinants to enhance technological innovation in the food industry. The determinants include the style of leadership, human capital,learning orientation, the company's ability to provide incentives / rewards, company relationships with outsiders and corporate location.

scholarly journals Threshold Effect of Poverty Alleviation Funds on Human Capital Accumulation: A Case Study of Impoverished Counties in China

2019 ◽  
Vol 11 (3) ◽  
pp. 809 ◽  
Author(s):  
Zhenshan Yang
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Endogenous Growth ◽  
Poverty Alleviation ◽  
Capital Accumulation ◽  
Growth Dynamics ◽  
Threshold Effect ◽  
Human Capital Accumulation ◽  
Per Capita ◽  
The Relationship

Studies have shown that the effectiveness of poverty alleviation funds is not always as intended; hence, there is an urgent need for researchers and policy makers to study the relationship between such funds and their impact on endogenous growth dynamics. This study focuses on the impact of these funds on human capital accumulation, which is an important driver of endogenous economic growth, and analyzes whether there is a threshold level for the efficacy of funds in countering poverty. This study examines the relationship between the Chinese government’s fund transfers to key poverty-stricken counties and the level of human capital in these regions by employing a fixed-effect threshold panel regression model on data from 592 counties from 2002 to 2015. Our study finds that the Chinese government’s fund transfers for poverty alleviation display a significant threshold effect. When funds are less than RMB 1291 per capita, there is a significant effect on local economic development; once this threshold is exceeded, there is a significant inhibitory effect instead. When the amount exceeds RMB 4469 per capita, fund transfers once again stimulate economic growth. This study enriches the theoretical understanding of the complex relationship between the use of funds in poverty-stricken areas and their impact on endogenous growth dynamics. It also provides useful suggestions for the effective use of poverty alleviation funds.

scholarly journals Research on the Effects of Environmental Regulations on Industrial-Technological Innovation Based on Pressure Transmission

2021 ◽  
Vol 13 (19) ◽  
pp. 11010
Author(s):  
Mengqi Quan ◽  
Quan Guo ◽  
Qing Xia ◽  
Min Zhou
Keyword(s):  
Technological Innovation ◽  
Environmental Regulations ◽  
Threshold Effect ◽  
Technological Innovations ◽  
Industrial Firms ◽  
The Public ◽  
Industrial Sectors ◽  
Effect Model ◽  
Pressure Transmission

This paper investigates the transmission of pressure between the public, relevant government departments, and industrial firms through the use of formal environmental regulations. The data include formal environmental regulations issued from 2005 to 2019 in 179 cities in 27 provinces in China. The intermediary effect model and the threshold effect model are used to carry out research studies on the relationships between public-participated environmental regulations, formal environmental regulations, and industrial-technological innovations. Results indicate that: (1) Pressure is transmitted between the public, and relevant government sectors and industries. For instance, public-participated environmental regulations pressure relevant government departments to apply strong formal environmental regulations on industrial sectors. (2) Labor and capital have a positive moderating effect on the effect of formal environmental regulations on industrial-technological innovations. (3) Both public-participated and formal environmental regulations promote industrial-technological innovations. (4) There is a threshold effect in formal environmental regulations. For instance, when the intensity of public-participated environmental regulations is higher than 93, the role of formal environmental regulations in promoting industrial-technological innovation can be completely maximized.

scholarly journals Digital Innovation Adoption and Its Economic Impact Focused on Path Analysis at National Level

2019 ◽  
Vol 5 (3) ◽  
pp. 56 ◽  
Author(s):  
HyunJee Park ◽  
Sang Ok Choi
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Path Analysis ◽  
Economic Impact ◽  
Technological Innovation ◽  
Value Chain ◽  
Innovation Adoption ◽  
Integrative Model ◽  
Regulatory Environment ◽  
Digital Innovation

Purpose: The advancement of technologies and their adoption affects the socio-economic growth of nations. This research is focused on how this innovation adoption path is linked to economic growth of nations since the previous IT revolution has been combined with existing industries and adding values in terms of applying intelligence through adopting digital technologies. Approach/Design/Methodology: There are two different approaches—process approach and factor approach—in innovation adoption research. Innovation diffusion research, which is one of the process approaches, is related to adoption, diffusion, and impact theories, but there are limitations in explaining the perspective of a nation other than individual and organization on the basis of previous literatures. Therefore, we build the integrative model to verify innovative growth path of nations by applying Diffusion of Innovation Theory (DoI) and Technology (T)-Organization (O)-Environment (E) framework, which can explain factors of affecting innovation. We evaluate eight hypotheses with data collected from 137 to 212 nations using international information index by credible organizations: World Economic Forum (WEF), World Bank, United Nations (UN), and International Communications Union (ITU), based on the integrative model we proposed. The path analysis using Structural Equation Modeling (SEM) is performed, and the result shows that the path from technological innovation capabilities (T), human capital (O), and environment (E) is related directly to economic impact, except for the path from human capital to value chain breadth directly and indirectly. The indirect path through Information and Communication Technology (ICT) access, use, and value chain helps to understand the full impact of digital innovation. Practical implications: By verifying this relationship, we expect to give suggestions in policy perspective and in building strategy towards innovative growth of countries. Our results show that technological innovation capabilities take time to show impact in terms of economic growth than the other factors, which are human capital, and political and regulatory environment of country. The nurture of human capital directly affects to the economic growth of nations relative to other T and E factors. The political and regulatory environment support stable ICT usage, which gives impact to the economic growth of nations.

scholarly journals Social Security and Sustainable Economic Growth: Based on the Perspective of Human Capital

2019 ◽  
Vol 11 (3) ◽  
pp. 662 ◽  
Author(s):  
Ming Zhang ◽  
Xiaorong Zou ◽  
Long Sha
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Social Security ◽  
Threshold Model ◽  
Threshold Effect ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Sustainable Economic Growth ◽  
The Impact

China’s social security expenditure has rapidly grown during the past decade, and concerns about the impact of social security on productivity and sustained economic growth have attracted attention. Based on Chinese provincial panel data over the period 2007–2016, a threshold model analysis found that the impact of social security on productivity has a “double threshold” on human capital. Using dynamic panel data models and system General Moment Method estimators also found the existence of this threshold effect: When the human capital level is low or high, social security is favorable for sustained economic growth. However, if the human capital level is at the intermediate level, the function of social security is weak. The main conclusions were still valid after we examined the robustness of our results with several methods.

Human Capital Accumulation and Resource Abundance

2011 ◽  
pp. 66-77
Author(s):  
O. Vasilieva
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Capital Accumulation ◽  
Relevant Literature ◽  
Harmful Effect ◽  
Human Capital Accumulation ◽  
Resource Abundance ◽  
Empirical Results ◽  
Theoretical Predictions ◽  
Crowd Out

Does resource abundance positively affect human capital accumulation? Or, alternatively, does it «crowd out» the human capital leading to the deterioration of economic growth? The paper gives an overview of the relevant literature and discusses both theoretical and empirical results obtained regarding the connection between human capital accumulation and resource abundance. It shows that despite some theoretical predictions about the harmful effect of resource abundance on human capital accumulation, unambiguous evidence of such impact that would be robust with respect to the change of resource abundance parameter has not been obtained yet.

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