scholarly journals Towards the Coupling Coordination Relationship between Economic Growth Quality and Environmental Regulation: An Empirical Case Study of China

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Huan Huang ◽  
Fan Wang ◽  
Yi Xiao ◽  
Jiaxin Kuang

With the deterioration of the global climate, there is consensus that the environment and economy must develop in coordination. Effective environmental regulation (ER) is an important incentive of environmental protection, and there is a clear interaction mechanism between it and the economic growth quality (EGQ). In order to explore the intrinsic link between ER and EGQ, this study establishes a comprehensive evaluation index system from the research perspective of the coupling coordination degree (CCD). Based on the panel data of 30 provincial administrative regions in mainland China (excluding Tibet), from 2004 to 2017, the entropy method, coupling coordination model, and spatial econometric model are used to explore the CCD and the factors influencing the CCD of ER and EGQ. The key findings of this study were as follows: (1) The CCD of ER and EGQ system showed an upward trend in the fluctuation from 2004 to 2017. (2) In 2017, Beijing showed good coordination, Yunnan and Qinghai showed primary coordination, and the rest of the provinces showed moderate coordination. (3) The CCD of different regions in China is uneven. (4) Per capita GDP, per capita FDI, ER intensity, and industrial structure adjustment have promoting effects on the CCD, while per capita investment in fixed assets and environmental pressure have inhibiting effects on the CCD. Our conclusions are significant for promoting the integrated development of regional economy and ecological civilization, and provide a theoretical reference for other countries and regions to explore the relationship between ER and EGQ.

2021 ◽  
Vol 293 ◽  
pp. 01017
Author(s):  
Xiaoyong Li ◽  
Haifa Jia ◽  
Falan Zhao

Quantitative research and evaluation of ecological carrying capacity in Qinghai Province is in line with the requirements of the 13th five-year plan, and is of practical significance to the construction of ecological civilization in Qinghai Province. Based on the PSR model, this paper constructs the evaluation index system of ecological carrying capacity from three aspects of pressure, state ,and response, uses the entropy method to determine the index weight coefficient, and comprehensively evaluates the changing trend of ecological carrying capacity since the 12th Five Year Plan of Qinghai Province from the perspectives of economy, society, resources, and environment. The results show that: from 2011 to 2019, the comprehensive evaluation of ecological carrying capacity in Qinghai Province shows a trend of first decreasing and then increasing, the response index evaluation increases greatly, the state index evaluation shows a fluctuating growth, and the pressure index is relatively stable. Based on this, the PSR model and entropy method are typical and quantifiable, which can provide a reference for Qinghai provincial government to control the ecological environment, study ecological sustainability and delimit the ecological red line.


2018 ◽  
Vol 9 (9) ◽  
pp. 749-773
Author(s):  
Jonathan Fisher

There is considerable concern and debate about the economic impacts of environmental regulations. Jonathan Fisher, former Economics Manager at the Environment Agency in England and Wales, reviews the available evidence on this subject. Section 2 presents estimates of the costs and benefits of environmental regulations. Section 3 examines the impacts of environmental regulations on economic growth, innovation and technical change as well as impacts on competitiveness and any movement of businesses to less pollution havens. He questions call for greater certainty regarding future environmental regulations, whereas in fact there should be calls for less uncertainty. This section then suggests how this could be achieved. This section then finishes with an overview of the available evidence. This includes an examination of the Porter Hypothesis that environmental regulations can trigger greater innovation that may partially or more than fully offset the compliance costs. Section 4 then sets out principles for how better environmental regulation can improve its impacts on sustainable economic growth and illustrates how the European Union (EU) Water Framework Directive is a good example of the application of these principles in practice. Section 5 reviews current and recent political perspectives regarding developments in environmental regulations across the EU and shows how the United Kingdom (UK) has successfully positively managed to influence such developments so that EU environmental regulations now incorporate many of these principles to improve their impacts on economic growth. Section 5.1 then examines the implications of Brexit for UK environmental regulations. Finally, Section 6 sets out some best practice principles to improve the impacts of environmental regulation on sustainable economic growth, innovation and technical change.


2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.


Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 890
Author(s):  
Jakub Bartak ◽  
Łukasz Jabłoński ◽  
Agnieszka Jastrzębska

In this paper, we study economic growth and its volatility from an episodic perspective. We first demonstrate the ability of the genetic algorithm to detect shifts in the volatility and levels of a given time series. Having shown that it works well, we then use it to detect structural breaks that segment the GDP per capita time series into episodes characterized by different means and volatility of growth rates. We further investigate whether a volatile economy is likely to grow more slowly and analyze the determinants of high/low growth with high/low volatility patterns. The main results indicate a negative relationship between volatility and growth. Moreover, the results suggest that international trade simultaneously promotes growth and increases volatility, human capital promotes growth and stability, and financial development reduces volatility and negatively correlates with growth.


2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.


2021 ◽  
Vol 16 (1) ◽  
pp. 130-151
Author(s):  
Fernanda Andrade de Xavier ◽  
Aparna P. Lolayekar ◽  
Pranab Mukhopadhyay

We study the effect of revenue decentralization (RD) and expenditure decentralization (ED) on sub-national growth in India from 1981–1982 to 2015–2016 for 14 large (non-special-category) states. Our study provides evidence that both RD and ED play a defining role in India’s sub-national growth in this three-and-a-half-decade period. We use a panel data model with fixed effects (FE) and Driscoll and Kraay standard errors that control for heteroscedasticity, autocorrelation and cross-sectional dependence. To test for causality between growth and decentralization, we use the Granger non-causality test. The regression analysis is supplemented with the distribution dynamics approach. We find that: (a) While decentralization Granger-caused economic growth, the reverse causality effect of growth on decentralization was not significant; (b) Economic growth increased significantly after liberalization; (c) Decentralization, capital expenditure and social expenditure had significant positive impacts on economic growth; and (d) States that had high levels of decentralization also had high levels of per capita income, while states that had low decentralization also exhibited low per capita income.


Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4762
Author(s):  
Daniela Nicoleta Sahlian ◽  
Adriana Florina Popa ◽  
Raluca Florentina Creţu

The aim of our study was to analyze whether the increase in the use of renewable energy can help GDP growth. The research carried out shows that renewable energy has the ability to decrease or neutralize the negative impact of greenhouse gases (GHG), but also to maintain economic growth. We focused our analysis on the EU-28 as we know that the EU Commission’s aim, in the near future, is to join forces to reduce the GHG used and move to renewable sources. We used a panel analysis with data between 2000 and 2019 from all Member States, and our results showed that their economic growth is influenced positively by the production of renewable energy, the GHG per capita, and the GHG intensity per GDP.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Catherine A. Nikiel ◽  
Elfatih A. B. Eltahir

AbstractFor millennia the Nile supplied Egypt with more water than needed. As the population grew and the economy expanded, demand on water increased accordingly. Here, we present a comprehensive analysis to reconstruct how total demand on water outstripped supply of the Nile water in the late 1970s, starting from a surplus of about 20 km3 per year in the 1960s leading to a deficit of about 40 km3 per year by the late 2010s. The gap is satisfied by import of virtual water. The role of economic growth in driving per capita demand on water is quantified based on detailed analysis of water use by agriculture and other sectors. We develop and test an empirical model of water demand in Egypt that relates demand on water to growth rates in the economy and population. Looking forward, we project that within this decade of the 2020 s, under nominal scenarios of population and economic growth, Egypt is likely to import more virtual water than the water supplied by the Nile, bringing into question the historical characterization of Egypt as “the gift of the Nile”.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Salah Eddine Sari Hassoun ◽  
Khayereddine Salim Adda ◽  
Asma Hadjira Sebbane

AbstractTourism is one of the most important sectors for several researchers and decision makers, due to its influence on the world economic growth in the twenty-first century, making it as a source of competition between countries to a global industry for its effective strategic role in the development of countries. In this paper, we used two variables natural logarithm of per capita gross domestic product (GDP) and natural logarithm of per capita international and national tourism expenditure (ITE) to study the relationship between the tourism sector and economic growth in Algeria over the period of 1995–2017. We established with the unit root test with and without breakpoint that the variables are stationary in the first difference and there is a structural break in (ITE) and (GDP). Thus, with the presence of a breakpoint, we employed the methodology of Gregory–Hansen to avoid such issue, but we found that there was no evidence of cointegration with breakpoint, so then we used the vector autoregressive model (VAR). The model showed that the tourism sector has a positive and insignificant coefficient on the economic growth, while the economic growth factor has a positive and significant on the tourism sector. In the short run, there was a one-way causality from GDP to ITE at the level of 1%, confirming the economic-driven tourism growth hypothesis. Also, we found with Breitung and Candelon causality that there was same causality at the level of 10%.


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