Modeling Environmental Degradation and Economic Growth of Henan Province in Recent 25 Years

2014 ◽  
Vol 675-677 ◽  
pp. 1810-1814
Author(s):  
Shun Lei Peng ◽  
Nan Nan Wu ◽  
Gan Qing Zhao

The environmental data (carbon emissions, industrial wastewater discharge, exhaust gases emissions and solid waste production.) and economic data (Per Capita GDP) from 1985 to 2010 was selected to fit environmental Kuznets curve (EKC). The results showed that all the EKC models were significantly fitted (p<0.01), the EKC shapes of Per Capita GDP (PCGDP) between carbon emissions, industrial exhaust gases emissions, and industrial solid waste production were inverted-U shape, respectively. The EKC shape of PCGDP and industrial wastewater was inverted-N shape. This study suggested that Henan Province is still at the stage of industrial development, and EKC turning points of carbon emissions, industrial exhaust gases, and industrial solid waste production have not been reached. Therefore, it is necessary to optimize and adjust energy-depended industry structure to improve environment quality and welcome EKC turning points coming as soon as possible.

2021 ◽  
Vol 275 ◽  
pp. 02054
Author(s):  
Ma Teli

In this paper, LMDI method is used to analyze the driving factors of industrial solid waste production in the Yangtze River Economic Belt from 2005 to 2018, and the decoupling state is analyzed by Tapio indicator. We found that:①Industrial pollution intensity effect and industrial structure effect inhibited industrial solid waste production, while regional output effect and population size effect played a role in increasing the pollution; ②in different periods, the decoupling states of industrial solid waste in the Yangtze River Economic Belt were weak decoupling, weak decoupling and expansive negative decoupling. The decoupling indicator showed a trend of first decreasing and then increasing. It is suggested to guide investment to environment-friendly industries and strengthen the research on solid waste reduction technology.


2016 ◽  
Vol I (I) ◽  
pp. 1-12
Author(s):  
Abida Yousaf ◽  
Naila Erum ◽  
Fozia Bibi

The study tests the validity of the environmental Kuznets curve (EKC) for SAARC countries by using closed and open economy Models. The Peroni Panel Cointegration technique along with FMOLS estimation techniques have been used for empirical analysis by using the data from 1972-2015. The long run and short run estimates of the closed economy model reveals positive and significant relationship between Per capita GDP, per capita GDP2 and the carbon emissions that deny the existence of EKC. The findings of open economy model signify that FDI not only helps to transfer cleaner technologies, but it enables the producers to use less pollutant technologies for the production purposes. Moreover, an increase in the forest area is helpful for reducing the carbon emissions. Finally, population density and energy consumption are proved significant contributors of carbon emissions. The study suggests that effective policies should be followed for reducing emissions, regulating FDI-environment and per capita GDP environment relationship.


PEDIATRICS ◽  
1991 ◽  
Vol 88 (2) ◽  
pp. 386-389
Author(s):  
MARIANNE B. SUTTON ◽  
MICHAEL WEITZMAN ◽  
JONATHAN HOWLAND

The solid waste crisis is currently receiving extensive publicity in the lay press and increasing attention from the government (Newsweek. November 27, 1989:76; Council for Solid Waste Solutions, Washington, DC, unpublished data).1-3 The United States has the highest per capita rate of solid waste production among industrialized nations, more than three pounds per person each day, resulting in 160 million tons of solid waste each year (Newsweek. November 27, 1989). Disposable diapers contribute significantly to this problem and have, in fact, become a symbol of the solid waste crisis.4-6 Marketing surveys estimate that 80% of infants in the United States use disposable diapers.7,8


Author(s):  
Lei Wen ◽  
Linlin Huang

Purpose Climate change has aroused widespread concern around the world, which is one of the most complex challenges encountered by human beings. The underlying cause of climate change is the increase of carbon emissions. To reduce carbon emissions, the analysis of the factors affecting this type of emission is of practical significance. Design/methodology/approach This paper identified five factors affecting carbon emissions using the logarithmic mean Divisia index (LMDI) decomposition model (e.g. per capita carbon emissions, industrial structure, energy intensity, energy structure and per capita GDP). Besides, based on the projection pursuit method, this paper obtained the optimal projection directions of five influencing factors in 30 provinces (except for Tibet). Based on the data from 2000 to 2014, the authors predicted the optimal projection directions in the next six years under the Markov transfer matrix. Findings The results indicated that per capita GDP was the critical factor for reducing carbon emissions. The industrial structure and population intensified carbon emissions. The energy structure had seldom impacted on carbon emissions. The energy intensity obviously inhibited carbon emissions. The best optimal projection direction of each index in the next six years remained stable. Finally, this paper proposed the policy implications. Originality/value This paper provides an insight into the current state and the future changes in carbon emissions.


Author(s):  
Bei Xiong ◽  
Ruimei Wang

To address the concern of environmental pollution, it is necessary to study the effect of environmental regulation on industrial solid waste emission reduction in China. This paper aimed to analyze the effectiveness of provincial environmental regulation (both formal and informal) on the industrial solid waste emission reduction. The results show that both the effect of formal and informal environmental regulations on industrial solid waste emission intensity present an inverted “U” shape. The threshold value of per capita GDP as an indicator variable is CNY 16,299 and CNY 15,572 respectively. The effect on pollution emission reduction will appear when the value is higher than the threshold, and the two-way transmission mechanism between formal and informal environmental regulations does exist. When GDP per capita exceeds CNY 27,961, there is a phenomenon of “rebound” in the effect of informal environmental regulation on pollution reduction. Based on the findings, it was suggested that both formal and informal environmental regulation should be promoted to achieve the goal of industrial solid waste emission reduction. The coordination between formal and informal environmental regulation should be considered when the government makes policies. Different environmental regulation policies should be implemented in different regions. Informal regulation should be enriched and further promoted. Environmental law should play an important role in maintaining the public’s participation in environmental regulation to prevent the failure of informal environmental regulation.


2007 ◽  
pp. 679-688
Author(s):  
Darlan Pereira ◽  
Manuel Fonseca Almeida

The aim of this investigation was to propose guidelines (based on Europeans strategies andpolicies) in order to develop a plan for the industrial solid waste management in the SouthRegion of Rio de Janeiro State (Brazil), This region is an industrial area with significant wastemanagement problems. In order to properly manage waste production in this region, onemust know the amount, type, and composition of industrial wastes, as well as the managementpractices of the industries involved. In this investigation, questionnaires and secondary dataanalysis were used to collect infonnation regarding methods of waste management used in 30large-size manufacturing industries that produce 5.5% of the total waste generated. It wasobserved that paper and cardboard, plastic, wood, and metals were the most common types ofwaste, mainly generated from packaging (69% of the total volume), as well as material usedin containers and for unwrapping products. Serious problems were observed, like industrialsolid waste being sent to municipal landfills and irregular dumping. An overview of thecurrent solid waste management situation gives rise to a brief discussion on waste-to-energyopportunities and an integrated industrial waste management system for the region.


2016 ◽  
Vol 7 (1) ◽  
pp. 16-23 ◽  
Author(s):  
Abida Yousaf ◽  
Himayatullah Khan ◽  
Naila Erum ◽  
Saira Rasul

The paper examines the relationship among foreign aid, per capita GDP, energy consumption, foreign direct investment and carbon emissions in Pakistan. Autoregressive distributed lag (ARDL) bounds testing technique is used for empirically testing using annual data from 1972 to 2013. The study uses carbon dioxide emission (CO2) as an indicator of environment quality. The two components of foreign aid (foreign loans and foreign grants) are used to measure the environmental impact of foreign assistance in Pakistan. The study finds that energy consumption, per capita GDP and FDI contribute positively to raise the carbon emissions in the country. Furthermore, foreign loans and grants are also found significant contributors to the degradation of environmental quality in case of Pakistan. Similarly, the short run results of the model indicate that the signs of the coefficients are consistent with the long run estimates. On the basis of its findings, the study suggests that effective policies be followed for reducing (CO2) emissions along with regulating FDI-environment and per capita GDP-environment relationship


2020 ◽  
Vol 198 ◽  
pp. 04035
Author(s):  
GAO Ling ◽  
JIANG Wenting

Fujian is very wealthy in natural resources, which provides a good environment for social development and people’s life. However, with the development of economy, environmental pollution has become an importation problem in Fujian. In order to discuss the linkage relationship between economic development and environmental pollution, this paper selects the data of the secondary industry, industrial waste gas emissions, industrial waste water emissions and industrial solid waste production from 1995 to 2017 in Fujian, establishes the VAR model, explore the relationship between the development of secondary industry and environmental pollution. The results show that the association between the development of the secondary industry and environmental pollution is monotonously increasing. The industrial waste gas has become the main pollutant restricting the development of the secondary industry. Industrial solid waste has made the largest contribution to the development of the secondary industry, indicating a positive dynamic correlation.


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