scholarly journals Is Improvement of Innovation Efficiency Conducive to Haze Governance? Empirical Evidence from 283 Chinese Cities

2020 ◽  
Vol 17 (17) ◽  
pp. 6095 ◽  
Author(s):  
Fei Fan ◽  
Dailin Cao ◽  
Ning Ma
Keyword(s):  
Industrial Structure ◽  
Least Squares Method ◽  
Mediating Effect ◽  
Regional Innovation ◽  
Innovation Activities ◽  
Haze Pollution ◽  
Level Of Economic Development ◽  
New Perspective ◽  
Threshold Regression Model ◽  
The Impact

In recent years, haze pollution has had a wide impact in China. This research systematically studies the influence mechanism of haze pollution from a new perspective of urban innovation efficiency. We use a generalised space two-stage least squares method to analyse the correlation between urban innovation efficiency and haze pollution. The periodic and regional influences of urban innovation efficiency on haze pollution is explored using a threshold regression model. Through the mediating effect model, we accurately identify the transmission mechanism of urban innovation efficiency affecting haze pollution. The results show a significant inverted ‘U’ relationship between improvement of urban innovation efficiency and haze pollution. The regional innovation activities of innovative cities differ greatly from those of non-innovative cities. The effect of innovation efficiency improvement in innovative cities on haze governance is better than that of non-innovative pilot cities. In eastern cities with a higher level of economic development, the improvement of innovation efficiency has a stronger impact on haze governance. Industrial structure and population agglomeration have a mediating effect on the impact of urban innovation efficiency on haze pollution, providing directions for the rational formulation and effective implementation of haze governance policies in China, as well as in other countries.

scholarly journals Study on the Spatial Pattern of Innovation Output and Influencing Factors in Guangdong-Hong Kong-Macao Greater Bay Area

2019 ◽  
Author(s):  
Dongliang Yang ◽  
Chunfeng Li
Keyword(s):  
Hong Kong ◽  
Spatial Pattern ◽  
Industrial Structure ◽  
Study Region ◽  
Bay Area ◽  
Innovation Activities ◽  
Level Of Economic Development ◽  
Innovation Output ◽  
Countermeasures And Suggestions ◽  
The Impact

The advantageous location, port clusters, strong economic strength, developed financial system, rational and orderly urban division of labor and modern industrial system of Guangdong-Hong Kong-Macao greater bay area provide sustainable driving force for innovation activities in this region. This paper selected the Gini-coefficient, first degree index and concentration index to measure the spatial pattern characteristics of innovation output in Guangdong-Hong Kong-Macao greater bay area. The results show that the innovation output presented a spatial pattern of center-periphery in the study region with Shenzhen and Guangzhou as the dual centers and engines of innovation and Dongguan and Foshan as the main innovative areas. Further empirical analysis of the impact of various factors on innovation output in the study region found that R&D expenditure, the number of R&D personnel, the level of economic development and industrial structure all have significant promoting effects on innovation output. Accordingly, this paper put forward countermeasures and suggestions to promote the innovative development of Guangdong-Hong Kong-Macao greater bay area and build a world-class scientific and technological innovation bay area.

scholarly journals Impacts of Foreign Direct Investment and Industrial Structure Transformation on Haze Pollution across China

2021 ◽  
Vol 13 (10) ◽  
pp. 5439
Author(s):  
Chenggang Li ◽  
Tao Lin ◽  
Zhenci Xu ◽  
Yuzhu Chen
Keyword(s):  
Foreign Direct Investment ◽  
Environmental Pollution ◽  
Direct Investment ◽  
Industrial Structure ◽  
Spatial Data Analysis ◽  
Annual Data ◽  
Eastern Region ◽  
Structure Transformation ◽  
Haze Pollution ◽  
The Impact

With the development of economic globalization, some local environmental pollution has become a global environmental problem through international trade and transnational investment. This paper selects the annual data of 30 provinces in China from 2000 to 2017 and adopts exploratory spatial data analysis methods to explore the spatial agglomeration characteristics of haze pollution in China’s provinces. Furthermore, this paper constructs a spatial econometric model to test the impact of foreign direct investment (FDI) and industrial structure transformation on haze pollution. The research results show that the high-high concentration area of haze pollution in China has shifted from the central and western regions to the eastern region and from inland regions to coastal regions. When FDI increases by 1%, haze pollution in local and neighboring areas will be reduced by 0.066% and 0.3538%, respectively. However, the impact of FDI on haze pollution is heterogeneous in different stages of economic development. FDI can improve the rationalization level of industrial structure, and then inhibit the haze pollution. However, FDI inhibits the upgrading level of industrial structure to a certain extent, and then aggravates the haze pollution. The research in this paper provides an important decision-making basis for coordinating the relationship between FDI and environmental pollution and realizing green development.

Intellectual capital, organizational culture and ambidexterity in Colombian firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Esteban López-Zapata ◽  
Armando De Jesús Ramírez-Gómez
Keyword(s):  
Organizational Culture ◽  
Latin American ◽  
Intellectual Capital ◽  
Structural Equation Models ◽  
Least Squares Method ◽  
Mediating Effect ◽  
Organizational Ambidexterity ◽  
Content Type ◽  
Market Culture ◽  
The Impact

PurposeThis study analyzes the impact of intellectual capital on organizational ambidexterity by evaluating the mediating effect of the different types of organizational cultures (adhocracy, clan, market and hierarchy) on the said relationship.Design/methodology/approachFrom a sample of 124 directors of Colombian firms, the information is analyzed using Structural Equation Models through the Partial Least Squares method (SEM-PLS).FindingsThe results show that intellectual capital has a positive relationship with organizational ambidexterity and that market culture presents a positive mediating effect in the said relationship, while the mediating effects of adhocracy culture, clan culture and hierarchy culture are not significant.Practical implicationsDirectors can favor the development of organizational ambidexterity by investing in the intellectual capital of their firms and by promoting the development of market culture attributes.Originality/valueThis work contributes empirical evidence on the mediating role of organizational culture in the relationship between intellectual capital and ambidexterity, highlighting the importance of market culture over other types of culture for the simultaneous development of exploration and exploitation capabilities, in the context of an emerging Latin American economy such as Colombia.

A Study of the Impact of Innovation on Industrial Upgrading in China: A Spatial Econometric Analysis Based on China’s Provincial Panel Data

2020 ◽  
Vol 24 (3) ◽  
pp. 272-281
Author(s):  
Jiao Jiang ◽  
Xindong Zhao ◽  
◽  
Keyword(s):  
Panel Data ◽  
Industrial Structure ◽  
Spillover Effect ◽  
Theory Model ◽  
Regional Innovation ◽  
Industrial Upgrading ◽  
Logical Connection ◽  
Depth Analysis ◽  
The Impact ◽  
Industrial Structure Upgrading

This study provides an in-depth analysis of the impact of innovation on industrial upgrading from theoretical and practical perspectives. In terms of theory, based on the endogenous growth theory model, a multi-sectoral growth model is constructed to portray the inherent logical connection between innovation and industrial structure upgrading. The results show that innovation has an important impact on industrial structure upgrading. Industrial structure upgrading depends on differences in innovation level among industries and the substitution relationship of finished products in the industry. From an empirical perspective, based on the panel data of 31 provinces in China from 2005 to 2017, the spatial effect of innovation on industrial upgrading was analyzed using the spatial Durbin model. The results show that innovation and industrial structure upgrading has significant spatial correlation effects, and regional innovation can drive China’s industrial upgrading. Meanwhile, the space spillover effect is an important factor that cannot be ignored in industrial upgrading.

scholarly journals Does Low-Carbon City Pilot Policy Alleviate Urban Haze Pollution? Empirical Evidence from a Quasi-Natural Experiment in China

2021 ◽  
Vol 18 (21) ◽  
pp. 11287
Author(s):  
Jinling Yan ◽  
Junfeng Zhao ◽  
Xiaodong Yang ◽  
Xufeng Su ◽  
Hailing Wang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Technological Innovation ◽  
Industrial Structure ◽  
Pollution Prevention ◽  
Empirical Support ◽  
Low Carbon ◽  
Haze Pollution ◽  
Starting Point ◽  
Low Carbon City ◽  
The Impact

As a comprehensive environmental regulation, the low-carbon city pilot policy (LCCP) may have an impact on haze pollution. The evaluation of the effectiveness of LCCP on haze pollution is greatly significant for air pollution prevention and control. Taking LCCP as the starting point, in this study we constructed DID, PSM-DID, and intermediary effect models to empirically test the impact and mechanism of LCCP on haze pollution, based on the panel data of 271 cities in China from 2005 to 2018. The findings show that (1) LCCP has significantly reduced the urban haze pollution, and the average annual concentration of PM2.5 in pilot cities decreased by 14.29%. (2) LCCP can inhibit haze pollution by promoting technological innovation, upgrading the industrial structure, and reducing energy consumption. Among these impacts, the effect of technological innovation is the strongest, followed by industrial structure, and energy consumption. (3) LCCP has significantly curbed the haze pollution of non-resource dependent cities, Eastern cities, and large cities, but exerted little impact on resource-dependent cities, Central and Western regions, and small and medium-sized cities. (4) LCCP has a spatial spillover effect. It can inhibit the haze pollution of adjacent cities through demonstration and warning effects. This study enriches the relevant research on LCCP and provides empirical support and policy enlightenment for pollution reduction.

scholarly journals Research on the Impact of Green Technology Innovation on Energy Total Factor Productivity, Based on Provincial Data of China

2021 ◽  
Vol 9 ◽  
Author(s):  
Mengxin Wang ◽  
Yanling Li ◽  
Gaoke Liao
Keyword(s):  
Total Factor Productivity ◽  
Industrial Structure ◽  
Technology Innovation ◽  
Threshold Model ◽  
Threshold Effect ◽  
Green Technology ◽  
Mediating Effect ◽  
Factor Productivity ◽  
Influence Mechanism ◽  
The Impact

Against the background of carbon peaking and carbon neutralization, green technology innovation plays an important role in promoting the energy total factor productivity (TFP). This study verifies the impact of green technology innovation on energy TFP in a complete sample and the subsamples by region, by constructing a panel threshold model, and analyzes its influence mechanism on the basis of the mediating effect test based on annual provincial data of mainland China from 2005 to 2018. The empirical results reveal the following: first, with the level of economic development as the threshold variable, there is a threshold effect in the impact of green technology innovation on the energy TFP; second, green technology innovation has an impact on the energy TFP through industrial structure upgrading; that is, industrial structure has a mediating effect in the influence mechanism; and third, there is heterogeneity in the impact of green technology innovation on the energy TFP among different regions in China, and the threshold effect only exists in the western region, since the central and eastern regions have crossed a certain developmental stage.

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 Does Innovation Efficiency Suppress the Ecological Footprint? Empirical Evidence from 280 Chinese Cities

2020 ◽  
Vol 17 (18) ◽  
pp. 6826 ◽  
Author(s):  
Haiqian Ke ◽  
Wenyi Yang ◽  
Xiaoyang Liu ◽  
Fei Fan
Keyword(s):  
Economic Development ◽  
Ecological Footprint ◽  
Industrial Structure ◽  
Threshold Value ◽  
Threshold Effect ◽  
Mediating Effect ◽  
Energy Structure ◽  
Central Regions ◽  
Development Levels ◽  
Threshold Regression Model

Innovation is an important motivating force for regional sustainable development. This study measures the innovation efficiency of 280 cities in China from 2014–2018 using the super-efficiency slack-based measure and it also analyzes its impact on the ecological footprint using the generalized spatial two-stage least squares (GS2SLS) method and uses the threshold regression model to explore the threshold effect of innovation efficiency on the ecological footprint at different economic development levels. We find the corresponding transmission mechanism by using a mediating effect model. The major findings are as follows. First, we find an inverse U-shaped relationship between innovation efficiency and the ecological footprint for cities across China as well as in the eastern and central regions. That is, innovation efficiency promotes then suppresses the ecological footprint. Conversely, in western and northeastern China, improvements in innovation efficiency still raise the ecological footprint. Second, for the entire country, as economic development increases from below one threshold value (4.4928) to above another (4.8245), the elasticity coefficient of innovation efficiency to the ecological footprint changes from −0.0067 to −0.0313. This indicates that the ability of innovation efficiency improvements to reduce the ecological footprint is gradually enhanced with increased economic development. Finally, the industrial structure, the energy structure, and energy efficiency mediate the impacts of innovation efficiency on the ecological footprint.

scholarly journals Investigating the Impact of International Markets and New Digital Technologies on Business Innovation in Emerging Markets

2022 ◽  
Vol 14 (2) ◽  
pp. 983
Author(s):  
Léo-Paul Dana ◽  
Aidin Salamzadeh ◽  
Samira Mortazavi ◽  
Morteza Hadizadeh
Keyword(s):  
Emerging Markets ◽  
Entrepreneurial Orientation ◽  
Least Squares Method ◽  
Digital Technologies ◽  
International Markets ◽  
Mediating Effect ◽  
Business Services ◽  
Statistical Population ◽  
Business Innovation ◽  
The Impact

International markets and digital technologies are considered among the factors affecting business innovation. The emergence and deployment of digital technologies in emerging markets increase the innovation potential in businesses. Companies with an entrepreneurial orientation also strengthen their innovation capabilities. The present study aimed to investigate the impact of international markets and new digital technologies on business innovation in emerging markets, and to estimate the mediating effect of entrepreneurial orientation on this relationship. The present research was applied research in terms of aim and descriptive survey in terms of data collection method and quantitative in terms of the type of collected data. A standard questionnaire was to collect data. The study’s statistical population consisted of all companies providing business services in Tehran, Iran. To analyse the data, the structural equation modelling method with partial least squares method and Smart PLS-3 Software was used. The results revealed that international markets and digital technologies are positively associated with innovation. They also revealed that when a company’s entrepreneurial orientation increases, the digital technologies and international markets will be more involved in mutual relationships.

scholarly journals The Impact of FDI on Urban PM2.5 Pollution in China: The Mediating Effect of Industrial Structure Transformation

2021 ◽  
Vol 18 (17) ◽  
pp. 9107
Author(s):  
Taowu Pei ◽  
Lei Gao ◽  
Chao Yang ◽  
Chang Xu ◽  
Yu Tian ◽  
...  
Keyword(s):  
Local Governments ◽  
Fixed Effects ◽  
Industrial Structure ◽  
Spillover Effects ◽  
Mediating Effect ◽  
Structure Transformation ◽  
Chinese Cities ◽  
International Environment ◽  
The Impact ◽  
The Relationship

With the rapid growth of foreign direct investment (FDI), PM2.5 pollution in Chinese cities is increasing. Based on panel data for 271 Chinese cities from 2003 to 2016, this paper uses the dynamic spatial fixed-effects Durbin model to analyze the correlation between FDI and PM2.5 pollution and the effect of FDI on urban PM2.5 concentrations, as mediated by industrial structure transformation, which is clarified using Stata/SE 16.0. The results showed that PM2.5 pollution in China has significant spatial spillover effects, and the pollution haven hypothesis is applicable to Chinese cities. The industrial structure partially mediates the relationship between FDI and PM2.5. This paper proposes that local governments should promote the market-oriented reform of FDI to create a more convenient, legalized, and international environment for FDI and innovate the governance philosophy of only reducing the existing emissions. A top-level design and sound market supervision system of PM2.5 control are also needed.

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