An analysis of the relation between water pollution and economic growth in China by considering the contemporaneous correlation of water pollutants

2020 ◽  
Vol 276 ◽  
pp. 122783 ◽  
Author(s):  
Hao Cai ◽  
Yadong Mei ◽  
Junhong Chen ◽  
Zhenhui Wu ◽  
Lan Lan ◽  
...  
Water Policy ◽  
2008 ◽  
Vol 10 (2) ◽  
pp. 193-206 ◽  
Author(s):  
Suleyman A. Muyibi ◽  
Abdul Rauf Ambali ◽  
Garoot Suleiman Eissa

This paper evaluates the development-induced water pollution in Malaysia within an econometric framework. It explores the relationship between water pollution problems and rapid economic development such as industrial growth and urbanization/population in the country. Methodologically, a Multiple Regression Analysis that is essential to reveal the likely hidden interactive effects between the multivariate pollutants from different sources on river catchments was employed. The main objectives of the paper are (a) to spell out the structure and regional pattern of water pollution issues in Malaysia; (b) to find the hidden interactive effects of point and non-point sources of water pollutants on rivers; and (c) to turn the attention of water policy-makers to the implication of such interactive effects, which may jeopardize the administrative enforcement actions of minimizing water pollution issues in any given country. The paper, therefore, argues that if the abatement policy instruments are stringently controlling only water pollutants from one single source, policy abatement programs designed for controlling water pollution would not be effective. This paper has concluded that the imposition of appropriate treatment technology in industries is strongly needed to solve the problem of water pollution. People awareness of water pollution programs, and public and private sector participation are prerequisites that must always reflect in every stage of policy control and design by the authority.


2021 ◽  
Vol 292 ◽  
pp. 03045
Author(s):  
Li Qiang ◽  
Huang Jianmin ◽  
Wang Wenrui ◽  
Wang Xuerong

Based on the extended Environmental Kuznets model (EKC) and the spatial econometric method, this paper analyzes the emission intensity data of water pollution of Chinese provinces and cities from 2004 to 2018 to identify the key factors that could result in water pollution by different periods of time and by different regions as well as to initiate discussions over potential policies to be taken in the future. The results have two implications: on the one hand, water pollution is highly spatially correlated among different Chinese regions and the economic growth indicators such as GDP per capita and the number of lights show an inverted U-shaped nonlinear relationship with the intensity of water pollution emissions. As water pollution demonstrates both leakage effect and spillover effect, it is important to strengthen the implementation strategy featuring comprehensive planning and joint prevention and control. This paper also locates the performance of each region on the EKC curve. As demonstrated in the results, Shanghai, Beijing and Tianjin have become the first ones to manage to cross the inflection point and maintain at this level. Zhejiang, Jiangsu, Shandong and other eastern coastal areas are situated in the peak of the EKC curve, with enormous emission reduction pressure. Most of the provinces in the central region are located at the left side of the peak, and are suffering from serious water pollution resulted from rapid economic growth. Meanwhile, the intensity of water pollution in the western region of China is increasing rapidly. It is integral to seize the opportunity of supply-side reform to speed up the industrial restructuring, and try not to repeat the old lesson of treatment after pollution. In conclusion, it is suggested that governments at all levels should formulate and customize their policies based on their location on the EKC curve, so as to achieve positive dynamics between economic growth and water pollution control.


Author(s):  
Laeeq Janjua ◽  
Atteeq Razzak ◽  
Azeem Razzak

In Pakistan, water pollution is a cause of numerous health issue and water stress. The aim of writing this paper is to empirically investigate the impact of industrialization, foreign direct investment, and economic growth along with energy consumption on total suspended solids in the Indus River, which is used as a proxy for water pollution. The authors employed ARDL estimation to achieve the research objective. The findings revealed that in long-run economic growth, foreign direct investment inflows and industrialization have a positive influence on water pollution in the Indus River. Still, on the other hand, due to sustainable energy production, water pollution is falling in the Indus River. At the same time, in the short-run, economic growth causes reduction in total suspended solids, whereas industrialization is still a major cause of water pollution in the Indus River.


2019 ◽  
Vol 4 (2) ◽  
pp. 158-175 ◽  
Author(s):  
Noha Sami Omar

Purpose Innovation has become the engine of economic growth, especially with the Fourth Industrial Revolution. This paper aims at studying the association between innovation – measured by gross expenditure on research and development (GERD) – and economic performance – represented by real gross domestic product (GDP) – in MENA region over the period 1996-2016. Design/methodology/approach The paper uses the panel corrected standard error method to account for heteroskedacity and possible contemporaneous correlation across panels, and the first order autocorrelation within panel for unbalanced datasets. Findings The study concludes that R&D expenditure is positive and statistically significant in explaining GDP, but their relationship is weak. Specifically, a 10 per cent increase in R&D expenditure raises GDP by 4 per cent. In addition, human capital, labor force and fixed capital accumulation are found positive and statistically significant. These findings highlight on the importance of innovation and education on fostering economic growth, urging MENA governments to further invest in R&D and innovation sector. Originality/value To the best of the author’s knowledge, this paper is the first to investigate the relationship between GERD and GDP in MENA region within the endogenous-growth model framework.


2014 ◽  
Vol 962-965 ◽  
pp. 2031-2039 ◽  
Author(s):  
Kai Yao Wu ◽  
Dan Ni Wu

In this paper, according to 1990-2011 Shanghai water pollution data, using co-integration test, error correction model, Granger causality test, impulse response analysis and variance decomposition analysis, from the perspective of temporal dimension, we explore the long-term equilibrium and dynamic mechanism between water pollution and economic growth in Shanghai. We have found that: the index of water pollution in Shanghai grow fast in particular wastewater emissions, economic growth depends on water environment pollution, and economic growth bring enlarging water environment pressure at the same time.


2021 ◽  
pp. 135481662098066
Author(s):  
Jorge V Pérez-Rodríguez ◽  
Heiko Rachinger ◽  
María Santana-Gallego

In this article, we analyse whether tourism promotes economic growth using a general dynamic panel data model that incorporates individual and interactive fixed effects and allows for contemporaneous correlation in model innovations. The empirical study is based on quarterly series of GDP and tourist arrivals for 14 European countries covering the period from 1995 to 2019. Results indicate that the case for a positive long-run relationship between tourism and economic growth is rather weak, being slightly stronger for the period prior to the global economic and financial crisis from 2007 to 2010. When applying panel fractional cointegration techniques, we find evidence in favour of the tourism-led growth hypothesis (TLGH) for the full sample mainly for North European countries. For the pre-crisis period, on the other hand, we find evidence in favour of the TLGH for the relevant tourist destinations Spain and France.


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