scholarly journals Environmental Regulation, Trade Comparative Advantage, and the Manufacturing Industry’s Green Transformation and Upgrading

2020 ◽  
Vol 17 (8) ◽  
pp. 2823 ◽  
Author(s):  
Mengqi Gong ◽  
Zhe You ◽  
Linting Wang ◽  
Jinhua Cheng
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Comparative Advantage ◽  
Manufacturing Industry ◽  
Environmental Regulations ◽  
Manufacturing Industries ◽  
Productivity Index ◽  
Chinese Government ◽  
Factor Productivity ◽  
Trade Patterns

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.

scholarly journals Environmental Regulation Intensity, Carbon Footprint and Green Total Factor Productivity of Manufacturing Industries

2022 ◽  
Vol 19 (1) ◽  
pp. 553
Author(s):  
Lei Wang ◽  
Yu Yan
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Carbon Footprint ◽  
Manufacturing Industry ◽  
Economic Benefits ◽  
Manufacturing Industries ◽  
Green Economy ◽  
Chinese Government ◽  
Factor Productivity ◽  
The Impact

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.

scholarly journals The Influence Study on Environmental Regulation and Green Total Factor Productivity of China’s Manufacturing Industry

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ying Li ◽  
Siyu Li
Keyword(s):  
Technical Efficiency ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Environmental Regulations ◽  
Environmental Benefits ◽  
Productivity Index ◽  
Factor Productivity ◽  
Green Development ◽  
High Investment

Green development is the theme of the current era. Environmental regulation is an essential means to achieve environmental benefits and improve the total green factor productivity of manufacturing facing a series of problems brought by the development model of “high investment, high pollution, and high consumption.” Appropriate environmental regulations need to be implemented to achieve economic and environmental harvest. Based on the panel data of 25 manufacturing industries from 2003 to 2016 in China, this thesis constructs a comprehensive indicator of environmental regulation and calculates the green total factor productivity, and its decomposition applied SBM directional distance function and Malmquist–Luenberger productivity index. Besides, this thesis conducts an empirical analysis of environmental regulation’s effect on green productivity in China. The main conclusions showed that the green total factor productivity of China’s manufacturing industry maintains an upward trend on the whole, and the growth of GTFP mainly depends on technological progress rather than the improvement of technical efficiency. The great differences have significant industrial heterogeneity characteristics of GTFP. A single threshold in the whole manufacturing industry, environmental regulation, and GTFP of industries are shown to be “U shape,” and the left of the inflection point is not significant. Environmental regulations and GTFP of moderation and slightly pollution industries are “U shape,” and there is no nonlinear relationship between environmental regulation intensity and GTFP in light pollution industries. Therefore, the government’s optimal environmental regulation intensity should be implemented according to the industry’s heterogeneity to prevent the phenomenon of “ineffective regulation;” it is necessary to pay attention to both technological innovation and technical efficiency.

scholarly journals The Influence of Enterprises’ Bargaining Power on the Green Total Factor Productivity Effect of Environmental Regulation—Evidence from China

2019 ◽  
Vol 11 (18) ◽  
pp. 4910 ◽  
Author(s):  
Pengsheng Li ◽  
Yanying Chen
Keyword(s):  
Policy Implementation ◽  
Total Factor Productivity ◽  
Local Governments ◽  
Bargaining Power ◽  
Environmental Regulations ◽  
High Energy ◽  
State Ownership ◽  
Productivity Index ◽  
Factor Productivity ◽  
Dynamic Effects

In response to the ecological and environmental problems caused by high energy consumption and pollution, Chinese governments have raised their concerns and tighten the regulations. Even though local governments have achieved certain degree of success during policy implementation, it is still far from realizing the ultimate goal. Our study fills the gap in the existing literature by exploring the dynamic effects of environmental regulations on enterprises’ green total factor productivity (GTFP) from the perspective of enterprise bargaining power. With data obtained from the industrial pollution database and the Chinese industrial enterprise database, we calculated the GTFP at enterprise level using the Luenberger productivity index. The results from balanced panel data models show that environmental regulations would have negative impacts on enterprise’s GTFP in the short run. However, in the long run, the implementation of environmental policies would achieve the win-win goal in terms of enterprises competitiveness and environmental protection. In addition, indicated by industrial output, tax revenue and number of employees, enterprise bargaining power could weaken the dynamic effects of environmental regulations. Moreover, state ownership, local official changes and weak political constraints would enhance enterprise’s bargaining power and thus reduce the dynamic effects. By focusing on the enterprise’s bargaining power and its heterogeneous factors during policy implementation, our study provides implications for mitigating distortions and improving GTFP.

scholarly journals Going Green or Going Away? A Spatial Empirical Examination of the Relationship between Environmental Regulations, Biased Technological Progress, and Green Total Factor Productivity

2018 ◽  
Vol 15 (9) ◽  
pp. 1917 ◽  
Author(s):  
Xueli Wang ◽  
Caizhi Sun ◽  
Song Wang ◽  
Zhixiong Zhang ◽  
Wei Zou
Keyword(s):  
Economic Development ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Capital Stock ◽  
Technological Progress ◽  
Environmental Regulations ◽  
Factor Productivity ◽  
Total Capital ◽  
Green Gdp ◽  
The Relationship

China’s economic development has resulted in significant resource consumption and environmental damage. However, technological progress is important for achieving coordinated economic development and environmental protection. Appropriate environmental regulation policies are also important. Although green total factor productivity, environmental regulations, and technological progress vary by location, few studies have been conducted from a spatial perspective. However, spatial spillover effects should be taken into consideration. This study used energy consumption, the sum of physical capital stock and ecological service value as total capital stock, the number of employed people as inputs, sulfur dioxide emissions as undesired outputs, and green GDP as total output to obtain green TFP through a slacks-based measure (SBM) global Malmquist-Luenberger Index. This study also estimated China’s biased technological progress under environmental constraints from 2004 to 2015 based on relevant data (e.g., green GDP, total capital stock, and employment figures). The relationship between green total factor productivity (GTFP), technological progress, and environmental regulation was then examined using a spatial Durbin model. Results were as follows: (1) Based on the complementary elements, although the labor costs gradually increase, the rapid accumulation of capital leads to technological progress that is biased toward capital. However, technological progress in the labor bias can significantly increase GTFP. (2) There is a u-shaped relationship between existing environmental regulations and GTFP. Technological progress can significantly promote GTFP in the surrounding areas through existing environmental regulations. (3) Under spatial weight, the secondary industry coefficient was negative while human capital stock and FDID had positive effects on GTFP. Technological progress is the source of economic growth. It is therefore necessary to promote biased technological development and improve labor-force skills while implementing effective environmental regulation policies.

Total Factor Productivity in Manufacturing Industry for Delhi for Last Thirty Years

2014 ◽  
Vol 1 (1) ◽  
pp. 18-36
Author(s):  
Anindya Bhattacharya
Keyword(s):  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Time Series Data ◽  
Manufacturing Sector ◽  
National Level ◽  
Recent Time ◽  
Manufacturing Industries ◽  
Series Data ◽  
Factor Productivity ◽  
Level Data

This paper attempts to give an overview of the Total Factor Productivity Growth (TFPG) for the NCR or Delhi for the period from 1981-82 to 2011-12 for the manufacturing sector. Using the ASI time series data and Growth Accounting Approach the TFPG Index values are computed. The study reveals that for most of the major group or 2-digit level of manufacturing industries the respective TFPG values are declining over time. The results indicate that the lacklustre performance of the manufacturing sector equally holds in Delhi as it is already verified for the national level data of the sector through many other studies in recent time.

scholarly journals Improvement of Different Types of Environmental Regulations on Total Factor Productivity: A Threshold Effect Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Xubin Lei ◽  
Shusheng Wu
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Environmental Regulations ◽  
Threshold Model ◽  
Threshold Effect ◽  
Impact Behavior ◽  
Factor Productivity ◽  
Data Set ◽  
Different Types ◽  
The Impact

Based on the distinction of different types of environmental regulations, this paper attempts to test the threshold effect of environmental regulation on the total factor productivity (TFP) by employing a panel threshold model and a province-level panel data set during 2006–2016. Research results show that the influence of command-and-control and market incentive environmental regulation on the total factor productivity has a single threshold conversion characteristic of foreign direct investment (FDI) and financial scale, but the impact behavior and influence degree around the threshold are inconsistent. The effect of voluntary conscious environmental regulation on the total factor productivity has a single threshold conversion feature of human capital, and moderately enhanced intensity of environmental regulation is conducive to promoting the total factor productivity after crossing the threshold. Finally, in order to enhance the regional total factor productivity, relevant policy recommendations are proposed.

scholarly journals Analysis of Coordinated Development of Energy and Environment in China’s Manufacturing Industry under Environmental Regulation: A Comparative Study of Sub-Industries

2019 ◽  
Vol 11 (22) ◽  
pp. 6510 ◽  
Author(s):  
Manli Cheng ◽  
Zhen Shao ◽  
Changhui Yang ◽  
Xiaoan Tang
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Panel Data Analysis ◽  
Green Energy ◽  
Technical Innovation ◽  
Factor Productivity ◽  
Coordinated Development

In order to explore the impact of environmental regulation on the coordinated development of energy and the environment with the background of governance transition, we propose a three-stage integrated approach and use the panel data of China’s manufacturing industry 27 sub-sectors during the period of 2006–2015. In the first stage, according to the environmental pollution intensity, the manufacturing industry is divided into heavily polluting industry, moderately polluting industry, and lightly polluting industry. The second stage is employed the slacks-based measure (SBM)-undesirable method to study the sub-industries’ green energy-environmental efficiency under different environmental pollution intensities. Besides, the dynamic changes of technical innovation and efficiency among different industries are analyzed through the Malmquist productivity index. For the purpose of investigating the transmission mechanism of the Porter’s hypothesis and exploring the compound effects of environmental regulation and governance transition on green development, in the third stage, we use the panel data analysis to conduct more in-depth research on the relationship between environmental regulation, governance transition, and technical innovation. Results show that the highest average green energy-environmental efficiency is lightly polluting industry, which is 0.52, followed by the heavily polluting industry at 0.40, and the lowest is the moderately polluting industry, which is 0.32. By decomposing total factor productivity, heavily polluting industry is at the forefront of technical innovation. Panel data analysis results indicate that investment in research and development and governance transition could promote the growth of total factor productivity for manufacturing.

scholarly journals Can a Win–Win Situation of Economy and Environment Be Achieved in Cities by the Government’s Environmental Regulations?

2021 ◽  
Vol 13 (11) ◽  
pp. 5829
Author(s):  
Xinfei Li ◽  
Baodong Cheng ◽  
Qiling Hong ◽  
Chang Xu
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Environmental Quality ◽  
Negative Impact ◽  
Environmental Regulations ◽  
Removal Rate ◽  
Utilization Rate ◽  
Factor Productivity ◽  
Regulatory Policies ◽  
The Impact

Based on the panel data of 216 prefecture-level cities in China from 2003 to 2016, this study selected five emission-reduction indicators (industrial SO2 removal rate, soot removal rate, comprehensive utilization rate of industrial solid waste, domestic sewage treatment rate, and harmless treatment of domestic waste rate) to quantify the intensity of urban environmental regulations. Based on the intensity of environmental regulations, the authors further studied the impact of environmental regulations on economic quality (green total factor productivity) and environmental quality (PM2.5). The test results showed that the impact of environmental regulation on PM2.5 is a U-type change that first declines and then rises, while the impact of the implementation of environmental regulation on green total factor productivity is an inverted U-shaped change, which first increases and then decreases. On the one hand, appropriate environmental regulations are conducive to improving environmental quality and improving urban green total factor productivity. On the other hand, excessive environmental regulations have not only failed to improve environmental quality, but also have a negative impact on the improvement of economic quality. In addition, there are regional differences in the impact of environmental regulations, so it is necessary to formulate appropriate and local environmental regulatory policies.

scholarly journals Yangtze River Basin Environmental Regulation Efficiency Based on the Empirical Analysis of 97 Cities from 2005 to 2016

2021 ◽  
Vol 18 (11) ◽  
pp. 5697
Author(s):  
Qian Zhang ◽  
Decai Tang ◽  
Brandon J. Bethel
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
River Basin ◽  
Yangtze River ◽  
Technological Progress ◽  
Yangtze River Basin ◽  
Efficiency Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Factor Productivity

The Yangtze River Basin (YRB) is an important area for China’s economic development and environmental governance. The aim of this paper is to analyze the total factor productivity across 97 cities in the YRB from 2005 to 2016. Based on the input and output indicators from 2005 to 2016, this paper selects the SE-SBM model to measure the environmental regulation efficiency (ERE) of 97 cities in the YRB and then uses the DEA–Malmquist index to measure the total factor productivity of the region. Results suggest that the overall ERE in the YRB is weakly ineffective, while ERE in the central and eastern coastal areas is relatively high. ERE matches the economic foundation and development of the city. YRB environmental regulation efficiency was in descending order in the middle stream, upstream, and downstream. The efficiency of regional environmental regulation shows an N-type development trend, with obvious characteristics of phased development. Moreover, the total factor productivity of the YRB has shown a downward trend. The scale efficiency index and the technical efficiency index have positively boosted the total factor productivity, while the technological progress index has dragged down the total factor productivity of the area. The contribution to the total factor productivity index is in order of scale efficiency, technological progress index, and technological efficiency index in the downstream. The overall inputs and outputs of the YRB have great development potential. The inputs have not been fully utilized, the outputs have not been maximized, and the regional differentiation is significantly observable.

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