scholarly journals Evaluating Economic Growth, Industrial Structure, and Water Quality of the Xiangjiang River Basin in China Based on a Spatial Econometric Approach

2018 ◽  
Vol 15 (10) ◽  
pp. 2095 ◽  
Author(s):  
Xiaohong Chen ◽  
Guodong Yi ◽  
Jia Liu ◽  
Xiang Liu ◽  
Yang Chen
Keyword(s):  
Economic Growth ◽  
River Basin ◽  
Environmental Kuznets Curve ◽  
Industrial Structure ◽  
Kuznets Curve ◽  
Xiangjiang River ◽  
Spatial Panel ◽  
Panel Model ◽  
Xiangjiang River Basin

This research utilizes the environmental Kuznets curve to demonstrate the interrelationship between economic growth, industrial structure, and water quality of the Xiangjiang river basin in China by employing spatial panel data models. First, it obtains two variables (namely, CODMn, which represents the chemical oxygen demand of using KMnO4 as chemical oxidant, and NH3-N, which represents the ammonia nitrogen content index of wastewater) by pretreating the data of 42 environmental monitoring stations in the Xiangjiang river basin from 2005 to 2015. Afterward, Moran’s I index is adopted to analyze the spatial autocorrelation of CODMn and NH3-N concentration. Then, a comparative analysis of the nonspatial panel model and spatial panel model is conducted. Finally, this research estimates the intermediate effect of the industrial structure of the Xiangjiang river basin in China. The results show that spatial autocorrelation exists in pollutant concentration and the relationship between economic growth and pollutant concentration shapes as an inverted-N trajectory. Moreover, the turn points of the environmental Kuznets curve for CODMn are RMB 83,001 and RMB 108,583 per capita GDP. In contrast, the turn points for NH3-N are RMB 50,980 and RMB 188,931 per capita GDP. Additionally, the environmental Kuznets curve for CODMn can be explained by industrial structure adjustment, while that for NH3-N cannot. As a consequence, the research suggests that the effect of various pollutants should be taken into account while making industrial policies.

scholarly journals Analysis on the evolution trend of water resources and water environment in Xiangjiang River basin

2018 ◽  
Vol 246 ◽  
pp. 02030
Author(s):  
Xingyi Xu ◽  
Chuqiu Xiao ◽  
Chunyan Hu ◽  
Guiyuan Li ◽  
Xiang Gao ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
River Basin ◽  
Water Environment ◽  
Sudden Change ◽  
Xiangjiang River ◽  
Flood Season ◽  
Xiangjiang River Basin ◽  
Evolution Trend

According to the daily flow data collected by three representative hydrological stations in the Xiangjiang River basin which are the Guiyang station in the upstream section, the Hengshan station in the midstream section, and the Xiangtan station in the downstream section, and the water environment data collected from the Hunan Water Resources Bulletin, Mann-Kendal method was used to analyze the changes of the annual average flow of the Xiangjiang River basin in the past 20 years as well as the variation of water environment quality in the whole year, flood season and non-flood season. Based on these analysis, the evolution trend of water resources and water environment in the Xiangjiang River basin is further forecasted. The results show that the annual runoff of the upper reaches of the Xiangjiang River basin tends to be stable, and the runoff of the middle and lower reaches is decreasing. The water quality of the Xiangjiang River basin got deteriorated from 1996 to 2010. A sudden change occurred around 2012, and the water quality of the basin gradually improved.

scholarly journals Co2, Quality of Life and Economic Growth in ASEAN 8

2018 ◽  
Vol 3 (6) ◽  
pp. 55 ◽  
Author(s):  
Halimahton Borhan ◽  
Elsadig Musa Ahmed ◽  
Mizan Hitam
Keyword(s):  
Quality Of Life ◽  
Economic Growth ◽  
Environmental Kuznets Curve ◽  
Publishing House ◽  
Kuznets Curve ◽  
Pollution Indicator ◽  
International Publishing ◽  
Per Capita ◽  
The Relationship

The purpose of the study is to examine the relationship between CO2 on quality of life and on economic growth in ASEAN 8. Pollution may directly decrease output and quality of life by decreasing productivity of man-made capital and labor. The income levels per capita gross domestic product per capita were measured from the year 1965 to 2010. This study formulates a three equation simultaneous model for empirical research. For panel data, the Hausman specification test is the classical test of whether the fixed or random effects model should be used. In the pollution indicator emissions CO2 in ASEAN 8, the Environmental Kuznets Curve relationship is found.   Keywords: Economic Growth; Environmental Kuznets Curve; Hausman Test; Simultaneity, Endogeneity eISSN 2514-7528 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

scholarly journals Environmental Kuznets curve and growth source in Iran

2012 ◽  
Vol 59 (5) ◽  
pp. 609-623 ◽  
Author(s):  
Maryam Asghari
Keyword(s):  
Economic Growth ◽  
Environmental Degradation ◽  
Environmental Kuznets Curve ◽  
Co2 Emission ◽  
Turning Point ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Relationship

Recent empirical research has examined the relationship between certain indicators of environmental degradation and income, concluding that in some cases an inverted U-shaped relationship, which has been called an environmental Kuznets curve (EKC), exists between these variables. The source of growth explanation is important for two reasons. First, it demonstrates how the pollution consequences of growth depend on the source of growth. Therefore, the analogy drawn by some in the environmental community between the damaging effects of economic development and those of liberalized trade is, at best, incomplete. Second, the source of growth explanation demonstrates that a strong policy response to income gains is not necessary for pollution to fall with growth. The aim of this paper investigates the role of differences source of growth in environmental quality of Iran. The results show the two growth resources in Iran cause, in the early stages, CO2 emission decreases until turning point but beyond this level of income per capita, economic growth leads to environmental degradation. I find a U relationship between environmental degradation (CO2 emission) and economic growth in Iran.

scholarly journals Revisiting the Environmental Kuznets Curve Hypothesis: A Case of Central Europe

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3415
Author(s):  
Bartosz Jóźwik ◽  
Antonina-Victoria Gavryshkiv ◽  
Phouphet Kyophilavong ◽  
Lech Euzebiusz Gruszecki
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Central Europe ◽  
Environmental Kuznets Curve ◽  
European Countries ◽  
Kuznets Curve ◽  
The European Union ◽  
Ekc Hypothesis ◽  
Central European ◽  
Long Run

The rapid economic growth observed in Central European countries in the last thirty years has been the result of profound political changes and economic liberalization. This growth is partly connected with reducing carbon dioxide (CO2) emissions. However, the problem of CO2 emissions seems to remain unresolved. The aim of this paper is to test whether the Environmental Kuznets Curve (EKC) hypothesis holds true for Central European countries in an annual sample data that covers 1995–2016 in most countries. We examine cointegration by applying the Autoregressive Distributed Lag bound testing. This is the first study examining the relationship between CO2 emissions and economic growth in individual Central European countries from a long-run perspective, which allows the results to be compared. We confirmed the cointegration, but our estimates confirmed the EKC hypothesis only in Poland. It should also be noted that in all nine countries, energy consumption leads to increased CO2 emissions. The long-run elasticity ranges between 1.5 in Bulgaria and 2.0 in Croatia. We observed exceptionally low long-run elasticity in Estonia (0.49). Our findings suggest that to solve the environmental degradation problem in Central Europe, it is necessary to individualize the policies implemented in the European Union.

The coordination between China’s economic growth and environmental emission from the Environmental Kuznets Curve viewpoint

2016 ◽  
Vol 83 (1) ◽  
pp. 233-252 ◽  
Author(s):  
Xiaosheng Li ◽  
Xia Yan ◽  
Qingxian An ◽  
Ke Chen ◽  
Zhen Shen
Keyword(s):  
Economic Growth ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve

scholarly journals The Effect of Manufacturing Agglomeration on Haze Pollution in China

2018 ◽  
Vol 15 (11) ◽  
pp. 2490 ◽  
Author(s):  
Jun Liu ◽  
Yuhui Zhao ◽  
Zhonghua Cheng ◽  
Huiming Zhang
Keyword(s):  
Industrial Structure ◽  
Spillover Effects ◽  
Eastern Region ◽  
Spatial Panel ◽  
Panel Model ◽  
Specific Analysis ◽  
Haze Pollution ◽  
Regional Haze ◽  
Spatial Panel Model ◽  
Development Levels

Based on panel data on 285 Chinese cities from 2003 to 2012, we use a dynamic spatial panel model to empirically analyze the effect of manufacturing agglomeration on haze pollution. The results show that when economic development levels, population, technological levels, industrial structure, transportation, foreign direct investment, and greening levels are stable, manufacturing agglomeration significantly aggravates haze pollution. However, region-specific analysis reveals that the effects of manufacturing agglomeration on inter-regional haze pollution depends on the region: the effect of manufacturing agglomeration on haze pollution is the largest in the Western region, followed by the Central region, and is the least in the Eastern region. Based on the above conclusions, we put forward several specific suggestions, such as giving full play to the technology and knowledge spillover effects of manufacturing agglomeration, guiding manufacturing agglomerations in a scientific and rational way, accelerating the transformation and upgrading of manufacturing industries in agglomeration regions.

scholarly journals How does the urban–rural income gap affect the quality of China’s economic growth?

2018 ◽  
Vol 1 (1) ◽  
pp. 136-148 ◽  
Author(s):  
Baoping Ren ◽  
Xiaojing Chao
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Empirical Test ◽  
Theoretical Interpretation ◽  
Content Type ◽  
Income Gap ◽  
Rural Income ◽  
Urban Rural ◽  
Growth Quality

Purpose Based on the theoretical definition of the quality of economic growth as well as the availability and reliability of the given data, the purpose of this paper is to build an evaluation system of a regional economic growth quality on three levels: conditions, processes and results. Design/methodology/approach From the perspective of economic quality, this paper offers a theoretical interpretation on how the urban–rural income gap affects the quality of economic growth and takes an empirical test on the sample panel data from 30 provinces and regions through difference GMM and system GMM models. Findings The results show that the excessively large income gap will influence economic growth in terms of the foundation, operation and the outcome, thereby, restricting the quality of economic growth. In addition, investments in human and physical capital and improvements in terms of transport infrastructure, industrial structure and economic openness play an active role in economic growth quality, whereas government expenditure scale, financial development and the deviation of industrial structure have a negative effect. Originality/value There has been a substantial amount of experience and evidence on the research about the issue of China’s income distribution and the quantity of economic growth, whereas there are relatively fewer discussions about the income distribution and the quality of economic growth. This paper, based on what has been mentioned above, tries to give a theoretical interpretation and an empirical test to describe the relationship between urban–rural income gap and the quality of economic growth from the quality point of view.

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