scholarly journals Defining the Optimal Implementation Space of Environmental Regulation in China’s Export Trade

2020 ◽  
Vol 12 (20) ◽  
pp. 8307
Author(s):  
Yongwang Zhang ◽  
Lin Song

Properly designed environmental regulation policy is an important basis for the high-quality development of trade. Based on the Chinese industry-level panel data in the period 2003 to 2016, and considering the adaptability of environmental regulation and industrial development, our study employs a threshold regression model to reveal the impact of environmental regulation on China’s trade competitiveness. The empirical research of our study finds that the impact of environmental regulation and trade competitiveness of the manufacturing industry presents a U-shaped trend that first increases and then decreases. At present, there is a trend of gradually crossing the inflection point, and only after crossing the inflection point can the full development stage be entered; that is, the implementation intensity of environmental regulation needs to be coordinated with industrial development. Furthermore, the impact of environmental regulation on trade competitiveness has a special threshold. Only when the level of technological development or cost-bearing capacity exceeds a certain threshold can environmental regulation effectively promote trade competitiveness. Our study has profound policy implications. The Chinese government needs to combine the technological development level and cost-bearing capacity of subdivided industries to implement environmental regulation policies by classification, cultivate a good innovation environment, make full use of the innovation-stimulating effect of environmental regulation, establish a more perfect cost-sharing and production transfer exit mechanism, and improve the resource reallocation effect of environmental regulation.

Author(s):  
Lei Wang ◽  
Yu Yan

In terms of the development of the manufacturing industry, the Chinese government has carried out environmental regulations and set up production standards for related industries. This is an environmentally-friendly and economic action, which is also in line with the requirements of building a green economy for China. Meanwhile, whether from the micro regulatory measures or the macro government policies, carbon emission is an inevitable problem in the study of environmental problems. This paper will explore the impact of environmental regulation on the green economy based on carbon emissions and study the optimal environment regulation intensity that relates to a direct carbon footprint under the maximum green economic benefits. A SBM-MALMQUIST model is established to measure the green total factor productivity according to 27 Chinese manufacturing industries through the MAXDEA software. It is found that the intensity of environmental regulation has a significant impact on green total factor productivity, and direct carbon footprint also exhibits a partial intermediary effect, participating in the mechanism that affects green total factor productivity. Combined with the industrial characteristics and the above research results, this paper puts forward the adjustment strategy of reasonable environmental regulation for the manufacturing industry, which conforms to the national policy guidance, and will be beneficial in promoting the economic development of the green manufacturing industry.


2021 ◽  
Vol 7 (5) ◽  
pp. 2422-2444
Author(s):  
Song Teng ◽  
Liu Yuxin

Objectives: As the world’s largest tobacco producer and seller, China’s rapid development of the tobacco industry is inextricably linked to the promotion and support of the manufacturing industry. The optimization and adjustment of the manufacturing structure (MS) is critical in determining the competitiveness of the manufacturing industry. This study examines the impact of technological innovation and market size on MS optimization in China using provincial data from 2001 to 2016. We obtain the following main results. First, market size and technological innovation are important drivers in optimizing MS. Technological innovation increases productivity and results in the redistribution of production factors across industrial sectors, altering the industrial structure. The market size facilitates labor division, which boosts productivity. Second, institutional innovation is critical for optimizing MS. It strengthens the impact of technological innovation and market size on MS rationalization. Furthermore, the study’s findings are robust to a variety of estimation techniques, several alternative proxies for core explanatory variables, and a long list of control variables. An important implication of the study’s findings is that the Chinese government should implement effective institutional reforms to accelerate China’s manufacturing industry’s development. China’s tobacco industry, in particular, will achieve higher quality development based on the transformation and upgrading of the overall manufacturing industry.


2019 ◽  
Vol 38 (5) ◽  
pp. 528-536
Author(s):  
Ruishi Si ◽  
Meizhi Wang ◽  
Qian Lu ◽  
Shuxia Zhang

Carcass waste recycling exerts an important influence on preventing epidemic diseases, improving the ecological environment, and promoting sustainable development of the livestock industry although it has rarely aroused widespread attention throughout the world. Based on the data of 470 households engaged in breeding pigs in Hebei, Henan, and Hubei, China, and considering dead pigs as an example, this study employed the Double Hurdle model to assess impact of risk perception on household dead pig recycling behaviour and further tested the moderating effects of environmental regulation on the impact of risk perception on household dead pig recycling behaviour. The results show that: (1) Risk perception has a positive and significant influence on household dead pig recycling behaviour; however, this influence is mainly caused by households’ production and public health safety risk perceptions. Food and ecological safety risk perceptions have no significant influence on household dead pig recycling behaviour. (2) Environmental regulation has enhanced moderating effects on the impact of risk perception on household dead pig recycling behaviour, but the moderating effects mainly arose from imperative, guiding, and voluntary regulations. A moderating effect of incentive regulation is not obvious. (3) The moderating effects of environmental regulations present strong heterogeneity when different breeding scales and recycling technical attributes are considered. Finally, some policy implications, such as improving households’ risk perception level, enhancing environmental regulation intensity, and classifying to formulate measures, are proposed.


2019 ◽  
Vol 11 (8) ◽  
pp. 2294 ◽  
Author(s):  
Li Xie ◽  
Chunlin Chen ◽  
Yihua Yu

While China’s rapid industrialization has brought great pressure on environmental pollution, great variations appear in terms of environmental pollution levels among industries. The effective assessment of the environmental performance of different industries is not only conducive to identifying the major sources of pollution in China but also of great significance to the Chinese government in formulating differentiated industry environmental control policies in a targeted manner. Using data of 36 Chinese industries from 2006 to 2015 and a multiple data envelopment analysis (DEA) with a Gini criterion as well as a systematic clustering approach, this study first calculates the environmental efficiency score of Chinese industries and then identifies those pollution sources based on a ranking and clustering analysis. The main result indicates that the ranking of environmental efficiency of various industries overall varies greatly by time. In addition, using a clustering analysis, this study finds that 13 labor-intensive light industries and heavy chemical industries with high energy use and high emissions are medium- and high-pollution industries. Important policy implications are drawn to achieve green industrial development.


Author(s):  
Mengqi Gong ◽  
Zhe You ◽  
Linting Wang ◽  
Jinhua Cheng

This paper is the first to systematically review the theoretical mechanisms of environmental regulation and trade comparative advantage that affect the green transformation and upgrading of the manufacturing industry. On this basis, corresponding hypotheses are put forward. The non-radial and non-angle SBM (slacks-based measure) efficiency measurement model with undesirable outputs was used, combined with the use of the ML (green total factor productivity index) productivity index to measure green total factor productivity. Finally, the theoretical hypothesis was empirically tested using data from 27 manufacturing industries in China from 2005 to 2017. The results show the following: (1) There is a significant inverted U-shaped curve relationship between environmental regulation and the transformation of the manufacturing industry. In other words, as environmental regulation increases, its impact on the transformation and upgrading of the manufacturing industry is first promoted and then suppressed. (2) When there are no environmental regulations, the trade comparative advantage of the manufacturing industry is not conducive to industrial transformation. However, under the constraints of environmental regulations, the comparative advantage of trade will significantly promote the green transformation and upgrading of manufacturing. Therefore, in order to effectively promote transformation and upgrading of the manufacturing, this paper proposes the following policy recommendations: (1) The Chinese government should pay more attention to the impact of environmental regulation intensity on the transformation of manufacturing industries, further increase the intensity of environmental regulation within the reasonable range, and fully exert the positive effects of environmental regulation on the trade patterns and manufacturing industry transformation. (2) We should further optimize the structure of trade, realize the diversification of manufacturing import and export, and promote its transformation into high-end manufacturing. On this basis, green production technology in the manufacturing industry can be improved through the technology spillover effect. (3) Efforts should be made to improve the level of collaborative development between environmental regulation and trade patterns and to explore the transformation path of the manufacturing industry with the integration of environmental regulation and trade patterns.


2015 ◽  
Vol 9 (1) ◽  
pp. 99-114 ◽  
Author(s):  
Yan Luo ◽  
Xiaolin Qian ◽  
Jinjuan Ren

Purpose – The purpose of this study is to investigate the impact of firms’ financing activities on the environment. Faced with a deteriorating global environment, both corporations and regulatory bodies have become more responsive to environmental conservation problems. However, existing literature has not adequately addressed the question of whether and how firms’ business activities influence the environment. Design/methodology/approach – Using the daily air pollution indices of 120 Chinese cities from 2001 to 2012, this study found that air pollution is alleviated after firms’ initial public offerings (IPOs). This paper proposes that firms’ IPOs influence the ambient air pollution through three channels: production scale, technical reform and corporate governance effects. Findings – The authors of this study found that the proceeds acquired in IPOs result in enlarged production scales that increase pollution, while the investment of these proceeds in social responsibility-related technical reform and enhanced corporate governance reduce pollution. Moreover, the authors discover that firms with a higher state ownership emit fewer pollutants, thus supporting the positive monitoring role of the Chinese government. Originality/value – Although this study investigates the impact of IPOs on air quality in China, the proposed analytical framework also applies to studies of other financing activities in global markets. This study has important policy implications for government regulations in environmental controls.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hongyang Wang ◽  
Baizhou Li

AbstractThe high-quality development of the manufacturing industry is an important strategic task for Chinese economic development. The rapid development of the manufacturing industry is also accompanied by problems such as overcapacity and environmental pollution. This paper analyzes the impact of capacity utilization on the high-quality development of manufacturing and establishes a nonlinear threshold regression model on this basis, and studies and analyzes environmental regulations as a threshold variable under the influence of capacity utilization rate on the high-quality development of the manufacturing industry. The research results show that: capacity utilization, profitability, foreign direct investment, and government participation all have a significant positive impact on the high-quality development of the manufacturing industry; environmental regulations have a significant negative impact on the high-quality development of the manufacturing industry. And in the model of the effect of capacity utilization on the high-quality development of the manufacturing industry, environmental regulation has a single threshold effect. With the increase in the intensity of environmental regulation, the coefficient and significance of the effect of capacity utilization on the high-quality development of the manufacturing industry have changed. Finally, this article puts forward corresponding policies and suggestions based on the results of data analysis.


2014 ◽  
Vol 1010-1012 ◽  
pp. 1989-1992 ◽  
Author(s):  
Yu Lin Wu ◽  
Xue Qian Li ◽  
Mei Ling Liu

In this paper, Chinese manufacturing industry is studied. We use the 2003-2010 panel data to analysis the impact of environmental regulation on the industrial innovation. In three cases of no time lag, one year later and two year later, all empirical results show that: the environmental regulation does not promote our country manufacturing industry to promote industrial innovation capacity.


2018 ◽  
Vol 7 (2) ◽  
pp. 219
Author(s):  
Maoguo Wu ◽  
Yanyuan Wang

At present, the life insurance industry in China is still in the initial stage of development, which is characterized by limited scale, low penetration rate and low intensity. However, the large population base, the proliferation of middle classes, and the continuously improving socio-economic environment in China imply underlying developmental opportunities for the life insurance industry. Gaps in state pension have appeared owing to the issue of aging population, which signals that insurance companies with commercial properties may become an integral part of resident endowment. Ever since 2014, Chinese government has implemented numerous policies that are beneficial to the life insurance industry, for instance, diversifying investment channels of premiums, allowing a certain proportion of premiums in risky investments, and removing the restriction that the rate of return on common stakeholders’ equity (ROE) of participating insurance is capped at 5%. This paper constructs a panel data of 36 Chinese life insurance companies from 2010 to 2014. A serial of preliminary tests are taken in order to avoid spurious regression. By dint of the fixed effect model and panel threshold model, the paper analyzes the relation between operation-related factors and the corporate performance of life insurance companies. According to empirical findings, bancassurance income rate, professional insurance agency income rate, participating insurance income rate, group insurance income rate, company scale and solvency adequacy ratio are negatively correlated with corporate performance. When life insurance companies are associated with banks in capitals, bancassurance income rate positively influences corporate performance. The paper also investigates the impact of specific marketing channel structure and product structure on corporate performance. Policy implications are proposed accordingly.


Sign in / Sign up

Export Citation Format

Share Document