The relationship between pollution abatement costs and environmental regulation: Evidence from the Chinese industrial sector

2020 ◽  
Vol 24 (2) ◽  
pp. 668-690
Author(s):  
Masayuki Shimizu
2019 ◽  
Vol 38 (1) ◽  
pp. 87-94
Author(s):  
Yu. S. Meshcheryakova

The evolution of the definitions of «efficiency» and «improvement» are often identified in all kinds of economic research, and therefore the actual aspect is not their differentiation and justification of obvious differences, but the expression of their importance to each other and the relationship in the process of managing the company's industrial sector.


Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1264
Author(s):  
Meng Zeng ◽  
Lihang Liu ◽  
Fangyi Zhou ◽  
Yigui Xiao

Many studies have found that FDI can reduce the pollutant emissions of host countries. At the same time, the intensity of environmental regulation would affect the emission reduction effect of FDI in the host country. This study aims to reveal the internal mechanisms of this effect. Specifically, this paper studies the impact of FDI on technological innovation in China’s industrial sectors from the perspective of technology transactions from 2001 to 2019, and then analyzes whether the intensity of environmental regulation can promote the relationship. Results indicate that FDI promotes technological innovation through technology transactions. In addition, it finds that the intensity of environmental regulation significantly positively moderates the relationship between FDI and technological innovation, which is achieved by positively moderating the FDI–technology transaction relationship. Regional heterogeneity analysis is further conducted, and results show that in the eastern and western regions of China, FDI can stimulate technological innovation within regional industrial sectors through technology trading. Moreover, environmental regulation has a significant positive regulatory effect on the above relationship, but these effects are not supported by evidence in the central region of China.


1998 ◽  
Vol 30 (9) ◽  
pp. 1585-1602 ◽  
Author(s):  
D M W N Hitchens ◽  
J E Birnie ◽  
A McGowan ◽  
U Triebswetter ◽  
A Cottica

The authors use a method of matched-plant comparisons between food processing firms in Germany, Italy, Northern Ireland, and the Republic of Ireland to investigate the relationship between environmental regulation and company competitiveness across the European Union. Comparative competitiveness was indicated by measures of value-added per employee, physical productivity, export share, and employment growth. The cost of water supply (public or well), effluent treatment (in-plant treatment and/or sewerage system), and disposal of sludge and packaging were also compared. Total environmental costs in Germany, Italy, and Ireland were small: usually less than 1% of turnover. Compared with the Irish firms, German companies had relatively high environmental costs as well as productivity levels. There was, however, a lack of a clear relationship between company competitiveness and the size of regulation costs: in Ireland and Italy environmental costs were similar but German firms had much higher productivity; compared with German counterparts, Italian firms had lower environmental costs but higher productivity.


2021 ◽  
Vol 30 (1) ◽  
pp. 31-52
Author(s):  
Ann Compton

The mid-nineteenth century critical discourse compartmentalized art and industry by crediting each with specific powers. Manufacturing was identified with the development of technologically advanced processes, materials and products, while fine artists were given authority over the aesthetic aspects of industrial design. The idea that the two sectors had separate areas of responsibility has proved extremely enduring, and continues to influence our perceptions of Victorian manufacturing. This article contributes to the wider task of re-evaluating the relationship between art and industry in nineteenth-century Britain by examining the role of design in potteries and art metalworking firms from the manufacturer’s perspective. It shows that contrary to the picture painted by Victorian critics, design was central to the ambitions and commercial operations of manufacturing businesses. Crucially, decisions about the recruitment of design staff were shaped by the close connection between the creation of new products at the drawing board, and their fabrication in the workshop. Since each branch of manufacturing had its distinctive characteristics, there were significant practical, aesthetic and commercial advantages for manufacturers in employing experienced designers who knew the trade, and were fully conversant with production practices. Unless a professional sculptor joined a firm, they were unlikely to have this inside knowledge, which made commissioning one-off designs from artists a riskier proposition. Manufacturers found that one of the best ways to get around this was to make reductions of sculptures, and initial demand for statuettes in Parian suggested they would be profitable for all concerned. In the end, the market did not live up to its early promise, but the publicity given to Parian statuettes compensated manufacturers and sculptors. Overall, it was this increased public exposure for art manufactures that was the prime benefit of the mid-nineteenth century critical discourse for the industrial sector.


2015 ◽  
Vol 44 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Michael S. Delgado ◽  
Neha Khanna

We consider private provision of an environmental public good and the link between voluntary pollution-abatement markets and the optimal level of mandatory environmental regulation. We show that voluntary abatement markets react to the level of mandatory abatement imposed and that an optimal regulatory policy must account for that reaction. We consider several assumptions about consumer behavior and find that the voluntary market's reaction to regulation depends on the motivating behavior of consumers. Whether the optimal level of mandatory abatement is higher than the level provided by traditional settings depends on the direction and magnitude of the voluntary market's reaction to changes in mandatory abatement.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahaa Awwad ◽  
Bahaa Razia

PurposeThis study aims to adopt the Altman model in order to predict the performance of industrial companies listed on the Palestinian Stock Exchange during the period of time between 2013 and 2017.Design/methodology/approachThe study sample consisted of 12 industrial companies listed on the Palestine Stock Exchange, and their financial disclosure period extended for 5 years. Multiple linear regression model was used in the analysis to determine the relationship between the independent variables and the dependent variable where the independent variables were (X1, X2, X3). This study is based on one basic assumption, which is that the Altman's model cannot predict the performance of the Palestinian industrial sector.FindingsThe results of the analysis proved the negation of the zero main hypothesis. This means that Altman's model can predict the performance of the Palestinian industrial sector at the level of statistical significance (a = 0.05), as well as the existence of a statistically significant relationship between each of the independent variables (X2, X4, X5) and the dependent variable (Log (Z-score)). Hence, the relationship of X1 and X3 with the dependent variable was not statistically significant.Social implicationsThis paper highlights different challenges that face the adaption of Atman's model and performance prediction in the Palestinian industrial sector. The findings of the analysis have the potential to help future researchers in examining and dealing with new challenges.Originality/valueThis paper presents a vital review of adopting Altman's model in the Palestinian industrial sector. A number of recommendations have been made, the most important of which is that most of the companies are located in the red zone. The Altman's model must be adapted in order to fit the Palestinian environment according to the results of statistical analysis and according to a proposed model, which is Log (Z) = −0.653 + 0.72X2 + 0.18X4 + 0.585X5.


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