Relations between factor-market distortion and environmental pollution – analysis of intermediate effect based on technological innovation

2020 ◽  
Vol 188 ◽  
pp. 303-308
Author(s):  
Fang Liu ◽  
Shu Bing Qiu
2021 ◽  
Author(s):  
Guoxiang Xu ◽  
Zhijiu Yang

Abstract The policy of the national smart city (NSC) pilots, a new type of urbanization for future development, has been implemented in China in batches. This paper investigates the mechanism and effects of the NSC pilots on the environment. Using the prefecture-level panel data during 2004-2018 period, our dynamic difference-in-differences (DID) estimation shows that the NSC pilots causally mitigate air (water) pollution by 21.5% (23.3%). The mediating effect model indicates that the allocation efficiency and technological innovation play a partial mediating role in the impacting mechanism. After introducing the two mediating channels into the dynamic DID model, the reduction effect for air (water) pollution drops to 15.5% (17.3%). Comparatively, improving allocation efficiency instead of technological innovation takes the major mediating role in reducing air pollution, while water pollution the opposite. The result of city heterogeneity shows that cities with high human capital and fiscal support contribute to the reduction of environmental pollution. This study also provides some related policy suggestions by analyzing the initial mechanism and city heterogeneity of the NSC pilots.


Author(s):  
Chang Li ◽  
Mingyang Li ◽  
Lu Zhang ◽  
Tingyi Li ◽  
Hanzhen Ouyang ◽  
...  

From the perspective of green growth, which seeks to coordinate and make sustainable the development of resources, the environment, and the economy, this study’s aim was to find out whether the high-tech industry along the Belt and Road (B&R) is sustainable and effective in using resources, reducing environmental pollution, and increasing performance. This study used panel data covering 16 provinces (municipalities) along the B&R in China between 2009 and 2016. This study used the directional distance function (DDF) and the global Malmquist–Luenberger (GML) index model to analyze the technological innovation efficiency (TIE) of the high-tech industry (HTI) while considering the undesirable output (environmental pollution). Further, supplemented by ArcGIS geographical analysis, this study carried out a comparative analysis of the TIE and its decomposition in the HTI along the B&R from geographical and time-series dimensions. Moreover, the panel Tobit regression model was used to analyze the influencing factors of TIE. The results show that the direct financial support of the government has no impact on the improvement of TIE in the HTI, the government’s regulation of environmental pollution can significantly affect the improvement of the TIE, the intensity of R&D has a significantly negative impact on the TIE, a higher level of R&D personnel in the HTI can be helpful in improving TIE, and increasing the import and export trade volumes of the HTI can promote TIE.


2020 ◽  
Vol 4 (4) ◽  
pp. 117-122
Author(s):  
Karno Karno ◽  
Sunaryo Sunaryo ◽  
Frida Hendrarinata

Introduction: Livestock population in Magetan, East Java Province, Indonesia is quite high, which is 58.671 animals This can be become a potency for development of organic fertilizer with fresh cow dung as the raw material. For producing biogas from cow dung, it needs to be conducted appropriate technological innovation, thus, it can be used and can reduce environmental pollution. Methods: The research’s method was eksperimental research. Purpose: Identifying the measuring the levels of: macronutrient of organic fertilizer in this research: N, P, K, and C-organic. Analyzing exact fermentation time in making organic fertilizer from variation in the comparison of molasses. Result: The organic levels of N, P, K and C showed that it qualified the standard of Regulation of the Ministry of Agriculture Number 70/ PERMENTAN / SR.140 / 102011. Based on the research result, it was obtained that the fastest of fermentation time was in variation 4 with the comparison of addition of molasses dose in 200 ml and EM4 in 50 ml. Keywords: molasses; organic fertilizer; fresh cow dung


Author(s):  
Shihong Zeng ◽  
Ya Zhou

In recent years, China has gradually become one of the countries with the largest levels of foreign direct investment (FDI). FDI has played a significant role in promoting Chinese economic development, and the FDI technology spillover effect is one of the core forces driving China towards reaching new growth milestones. Therefore, due to the country’s interest in development, there is competition for FDI throughout China. However, the existing imperfect environmental protection system cannot prevent FDI from flowing into China’s highly polluting and resource-intensive industrial chain, possibly causing serious environmental problems. Therefore, the topic of properly introducing foreign capital to promote development and effectively end China’s current environmental pollution crisis has become a research focus. To explore FDI’s impact on China’s economic growth, technological innovation, and environmental pollution, we use Chinese provincial panel data for 2004–2016 to construct a dynamic panel simultaneous-equation model. Considering the interrelationships between the equations, we construct economic models of economic growth, technological innovation, and pollution emissions, and incorporate them into the same research system for generalized method of moments (GMM) estimation. Our results show that FDI has a significant and positive direct impact on China’s economic growth and technological innovation, and can furthermore have a significant pull effect on the domestic economy through the backward spillover channel. At the same time, FDI has a direct and significant impact on the increase in regional waste-water discharge, while exhibiting a pollution halo effect on the emission of sulfur dioxide (SO2) and chemical oxygen demand (COD) emissions directly. In addition, we observe “benign feedback mechanism” between technological innovation output and these three types of pollution, namely SO2 emission, COD emissions, and ammonia and nitrogen discharge.


Author(s):  
Yingying Zhou ◽  
Yuehan Du ◽  
Fengyi Lei ◽  
Ziru Su ◽  
Yifei Feng ◽  
...  

In the wake of the acceleration of China’s industrialization and rapid economic growth, environmental pollution has also attracted great attention. The technological innovation of heavily polluting enterprises is conducive to reducing pollution emissions and promoting environmental health. The financial investment tendency and behavior of real enterprises have a significant impact on the technological innovation decision-making of enterprises. A panel model is used in this paper in order to empirically test the impact of financialization of Chinese heavily polluting enterprises on technological innovation based on the data of Listed Companies in Chinese heavily polluting industries from 2008 to 2019. The + results show that the financialization of heavily polluting enterprises has a significant crowding out effect on technological innovation. After introducing arbitrage motivation as the regulating variable, further research finds that arbitrage motivation weakens the inhibitory effect of enterprise financialization on technological innovation, that is, the stronger the arbitrage motivation, the smaller the negative effect of financialization on enterprise technological innovation, which weakens this crowding out effect. Finally, the listed enterprises in heavily polluting industries are divided into state-owned enterprises and non-state-owned enterprises according to their corporate attributes. Compared with state-owned enterprises, the financialization of non-state-owned enterprises has a greater squeeze out of technological innovation; and arbitrage motivation has a more significant regulatory effect on the impact of enterprise financialization on technological innovation.


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