The Environmental Kuznets Curve

Author(s):  
David I. Stern

The environmental Kuznets curve (EKC) is a hypothesized relationship between environmental degradation and GDP per capita. In the early stages of economic growth, pollution emissions and other human impacts on the environment increase, but beyond some level of GDP per capita (which varies for different indicators), the trend reverses, so that at high income levels, economic growth leads to environmental improvement. This implies that environmental impacts or emissions per capita are an inverted U-shaped function of GDP per capita. The EKC has been the dominant approach among economists to modeling ambient pollution concentrations and aggregate emissions since Grossman and Krueger introduced it in 1991 and is even found in introductory economics textbooks. Despite this, the EKC was criticized almost from the start on statistical and policy grounds, and debate continues. While concentrations and also emissions of some local pollutants, such as sulfur dioxide, have clearly declined in developed countries in recent decades, evidence for other pollutants, such as carbon dioxide, is much weaker. Initially, many understood the EKC to imply that environmental problems might be due to a lack of sufficient economic development, rather than the reverse, as was conventionally thought. This alarmed others because a simplistic policy prescription based on this idea, while perhaps addressing some issues like deforestation or local air pollution, could exacerbate environmental problems like climate change. Additionally, many of the econometric studies that supported the EKC were found to be statistically fragile. Some more recent research integrates the EKC with alternative approaches and finds that the relation between environmental impacts and development is subtler than the simple picture painted by the EKC. This research shows that usually, growth in the scale of the economy increases environmental impacts, all else held constant. However, the impact of growth might decline as countries get richer, and richer countries are likely to make more rapid progress in reducing environmental impacts. Finally, there is often convergence among countries, so that countries that have relatively high levels of impacts reduce them more quickly or increase them more slowly, all else held constant.

2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti

The economy that continues to grow has the impact of environmental damage. This study aims to prove empirically the Environmental Kuznets Curve (EKC) hypothesis by analyzing the relationship of economic growth with environmental damage as measured by GDP per capita, and CO2 emissions. The data used are secondary data in the form of data on GDP per capita, CO2 emissions, population growth, inflation, and control of corruption in 10 countries in the ASEAN region in 2002-2016. Data analysis using the Fixed Effect model. The results show that there is a relationship between economic growth and environmental damage that forms an inverted U curve. Economic growth will initially have a positive effect on environmental damage so that at a point of economic growth negatively affects environmental damage. By adding control variables: population growth, inflation and corruption, inflation and corruption positively impact environmental damage, while population negatively affect environmental damage.


2020 ◽  
Vol 8 (3) ◽  
pp. 230-246
Author(s):  
Muhamad Ameer Noor ◽  
Putu Mahardika Adi Saputra

Policymakers in the world are concerned with carbon emission due to the risk of global warming. Many studies on Environmental Kuznets Curve (EKC) consider carbon emission as a proxy of environmental degradation. This study aimed to investigate the existence of EKC and identify variations of relationships between carbon emissions and GDP per capita in ASEAN middle-income countries. The study was conducted on Indonesia, Thailand, Philippines, and Malaysia based on 1971-2014 time series data using a simultaneous model (2SLS) for each country. The main variables studied were GDP per capita, square of GDP per capita, and carbon emission supported by other variables as the controlling variables. Validation on EKC existence was determined by GDP and GDP squared influence on carbon emission, while variations of relationship between GDP and carbon emission were based on the result of simultaneous regressions. The results showed that the existence of the EKC could not be validated in all countries because energy and transportation policies in each country failed to reduce the emission. On the other hand, carbon emission had a positive unidirectional influence on GDP in all countries. The effect of carbon emission coefficient to GDP showed that Thailand ranked the highest in CO2 efficiency, followed by Indonesia, Philippines, and Malaysia. This study recommended that carbon emission reduction policies in the four countries should focus more to easier access to environmentally friendly technology from developed countries for ensuring trade-offs between the economy and environment.


Author(s):  
Sakshi Gambhir

The relationship between economic growth and environmental quality has been much under dispute. According to the EKC (Environmental Kuznets Curve) hypothesis, environmental damage increases in the early stages of economic growth, but diminishes once nations reach higher levels of income. While the notion EKC is well established, there is controversy about its shape, incidence and determinants. In this paper, we model EKC with the variables of GDP and CO2 emissions (aggregate and per capita) using alternative model specifications to bridge the gap between conventional and modern EKC literature. We also place the theoretical construct of EKC into a policy-oriented framework by incorporating the impact of four global policy periods namely, liberalisation, globalisation, world recovery and global financial crisis. We substantiate a cubic form of EKC in the Indian context for the time period 1991 to 2014. With aggregate CO2 emissions as the dependent variable, the linear, quadratic and cubic terms are all significant with the expected signs, which confirm an N-shaped EKC for India. Even with per capita emissions as the dependent variable, existence of an N-shaped EKC is established. In this case however, evidence on the cubic term is rather weak which points towards the difference in socio-psychological factors that influence the revival of upturn in the case of India. The policy period analysis does not show any distinct results, which could be due to contradictory effects on different variables and volatility in these variables.


2021 ◽  
Vol 25 (111) ◽  
pp. 165-173
Author(s):  
Victor Quinde Rosales ◽  
Rina Bucaram Leverone ◽  
Martha Bueno Quinonez ◽  
Michelle Saldana Vargas

This article is an inductive argumentation and an empirical-analytical paradigm that evaluates the actual relationship between Gross Domestic Product (GDP) per capita and the Carbon Dioxide (CO2) in country groups of the G8 considered as developed in a period of time from 1960 to 2011. It was developed an Augmented Dickey-Fuller unit root (ADF), a Granger Causality Test and a Johansen Cointegration test. The results evidence the non-stationary of constrains in both countries. It was obtained a VAR model with two variables with a number of lags of four - VAR2 (4) to which were tested for causality by demonstrating a unidirectionality of GDP per capita to CO2. Keywords: economic growth, economic development, income distribution, environmental economics. References [1]G. Brundtland, «Our Common Future,» de Report of the World Commission on Environment and Development , 1987. [2]R. Bermejo, Del desarrollo sostenible según Brundtland a la sostenibilidad como biomimesis, Bilbao: Hegoa, 2014. [3]R. B. and. P. C. Fander Falconí, «Flacso,» 16 03 2016. [Online]. Available: https://www.flacsoandes.edu.ec/agora/62767-la-discutible-curva-de-kuznets. [Last access: 15 01 2021]. [4]E. Urteaga, «Las teorías económicas del desarrollo sostenible,» Cuadernos de Economía, vol. 32, nº 89, pp. 113-162, 2009. [5]V. K. Smith, Scarcity and Growth Reconsidered, Baltimore: The Johns Hopkins Press, 1979. [6]J. y. A. Medina, «Ingreso y desigualdad: la Hipótesis de Kuznets en el caso boliviano,» Espacios, vol. 38, nº31, p. 23, 2017. [7]M. Ahluwalia, «Inequality, poverty and development, » Journal of Development Economics, nº 3, pp. 307-342, 1976. [8]A. and R. D. Alesina, «Distributive politics and economic growth,» Quarterly Journal of Economics, vol. 109, nº 2, pp. 465-490, 1994. [9]R. Barro, «Inequality and growth in a panel of countries, » Journal of Economic Growth, vol. 5, nº 1, pp. 5-32, 2000. [10]M. A. Galindo, «Distribución de la renta y crecimiento económico,» de Anuario jurídico y económico escurialense, 2002, pp. 473-502. [11]A. Álvarez, «Distribución de la renta y crecimiento económico, Información Comercial Española, ICE,» Revista de economía, nº 835, pp. 95-100, 2007. [12]J. C. Núñez, «Crecimiento económico y distribución del ingreso: una perspectiva del Paraguay,» Población y Desarrollo, nº 43, pp. 54-61, 2016. [13]S. Kuznets, «Economic Growth and Income Inequality, » American Economic Review, nº 45, pp. 1-28, 1955. [14]J. A. and. C. J. Araujo, «Relación entre la desigualdad de la renta y el crecimiento económico en Brasil: 1995-2012.,» Problemas del desarrollo, vol. 46, nº 180, pp.129-150, 2015. [15]F. V. A. and P. C. Correa, «La Curva Medioambiental de Kuznets: Evidencia Empírica para Colombia Grupo de Economía Ambiental (GEA),» Semestre Económico, vol. 8, nº 15, pp. 13-30, 2005. [16]W. Malenbaum, World Demand for Raw Materials in 1985 and 2000, McGraw-Hill: New York, 1978. [17]W. Beckerman, «Economists, scientists, and environmental catastrophe,» Oxford Economic Papers, vol. 24, nº 3, 1972. [18]G. y. K. A. Grossman, «Economic Growth and the Environment,» The Quarterly Journal of Economics, vol. 110, nº 2, pp. 353-377, 1995. [19]N. Stokey, «Are there Limits to Growth?,» International Economic Review, vol. 39, nº 1, 1998. [20]W. and. C. W. Jaeger, «A Theoretical Basis for the Environmental Inverted-U Curve and Implications for International Trade,» de Discussant: Clive Chapple, New York, 1998. [21]T. B. K. B. R. and. G. K. Cavlovic, «A Mets-Analysis of Environmental Kuznets Curve Studies,» Agricultural and Resource Economics, nº 29, pp. 32-42, 2000. [22]M. and. S. T. Heil, «Carbon emissions and economic development: future trajectories based on historical experience, » Environment and Development Economics, vol. 6, nº 1, pp. 63-83, 2001. [23]U. S. R. and E. B. Soytas, «Energy consumption, income, and carbon emissions in the United States,» Ecological Economics, vol. 62, nº 3, pp. 482-489, 2007.[24]C. W. J. Granger, «Investigating causal relations by econometrics models and cross spectral methods,» Econometrica, nº 37, pp. 424-438, 1969. [25]M. and U. R. Nasir, «Environmental Kuznets Curve for carbon emissions in Pakistan: An empirical investigation,» Energy Policy, vol. 39, nº 3, pp. 1857-1864,2011. [26]S. Johansen, «Statistical Analysis of Cointegration Vectors,» Journal of Economic Dynamics and Control, vol. 12, nº 2, pp. 231-254, 1988. [27]B. Goldman, «Meta-Analysis of Environmental Kuznets Curve Studies: Determining the Cause of the Curve’s Presence,» de Honors Projects, 2012. [28] M. B.  and T. T. Fosten, «Dynamic misspecification in the environmental Kuznets curve: Evidence from CO2 and SO2 emissions in the United Kingdom,» Ecological Economics, vol. 76, pp. 25-33, 2012.  


2019 ◽  
Vol 25 (2) ◽  
pp. 159-181 ◽  
Author(s):  
Yu Hao ◽  
Yu-Fu Chen ◽  
Hua Liao ◽  
Yi-Ming Wei

AbstractAs a wide-reaching institutional reform, China's fiscal decentralization was launched in the early 1980s to encourage provincial economic growth by granting more financial autonomy to provincial governments. In this paper, the impact of fiscal decentralization on China's environmental quality is investigated both theoretically and empirically. A neoclassical model is developed based on the primary characteristics of China's fiscal decentralization. Using provincial panel data for the period 1995-2015, a two-equation regression model is employed to empirically verify the three propositions of the theoretical model: (1) there exists an inverted-U shaped relationship between fiscal decentralization and GDP per capita; (2) fiscal decentralization is positively related to GDP per capita at the steady state; (3) there is an inverted-U shaped Environmental Kuznets Curve relationship between pollution emissions and economic growth.


2015 ◽  
Vol 45 (1) ◽  
pp. 108-126 ◽  
Author(s):  
Anna Mazur ◽  
Zaur Phutkaradze ◽  
Jaba Phutkaradze

Abstract This research empirically explores the relation between carbon dioxide emission and economic growth during the period 1992-2010, using panel data on the European Union countries. Both fixed and random effect models are employed to test the Environmental Kuznets Curve (EKC) relationship between CO2 emissions and GDP per capita. While no U-shaped EKC was confirmed empirically for all 28 current EU member states, the graphical analysis demonstrates a justified turning point for CO2 emissions as GDP per capita reaches the level of 23,000 USD. Furthermore, there is a firm empirical ground for the EKC hypothesis based on data from 16 older, relatively high-income EU states. Thus, though not empirically confirmed, there is ample data verifying the existence of the EKC in EU economies.


2021 ◽  
Vol 10 (2) ◽  
pp. 214-243
Author(s):  
Erni Setiawati ◽  
Wahyu Al Qoodir

The Effect of Technology on Economic Growth. The research objective was to qualitatively analyze the effect of technological progress on economic growth, as well as the positive and negative impacts of technological developments on the economy. The research model used is a qualitative research method, namely research based on theories contained in the literature, more in the nature of descriptive and narrative descriptions. The theoretical foundation is used as a guide. Data collection uses literature studies or library research (Library Research, which is a technique of gathering information through data collection by tracing important documents that are related and relevant to the object under study. Data and information are obtained from literature books, articles scientific research, theses, dissertations, encyclopedias, internet, and other sources Data and information obtained from library studies in the form of academic texts, photos, graphics, journals, policy briefs, or pamphlets, banners, and journalistic reports. data reduction, data presentation and drawing conclusions / verification The research results show that technology is very influential on the economy of a country. The economy is measured by Economic Growth or the value of GDP and GDP per capita. Developed countries (America, China, Japan, South Korea, Germany, Singapore) with their modern technology, their economic growth rate is always positive and stable, although it can experience negative growth, the growth gap is not too big. GDP per capita is very high. Likewise, poor and underdeveloped countries (African continent) have started to catch up by starting to make business innovations using modern technologies. The impact felt by their economy began to move up, marked by high economic growth (YoY GDP), GDP per capita also started to move up.   Keywords: technology, per capita income, economic growth, GDP


2021 ◽  
Vol 1 ◽  
pp. 155-167
Author(s):  
Tursun Shodiev ◽  
Bakhodir Turayey ◽  
Kamoliddin Shodiyev

The Government of Uzbekistan declared the year of 2020 as “The Year of Science, Education and Development of the Digital Economy” and is implementing the State Program, aiming at to liberalize the economy, improve market related incentives, encourage private enterprises, to reduce the role of the public sector by introducing ICT and Internet, developing digital economy. In order to understand the causal relationship between ICT investment and economic growth researchers have exert many effort in the world. The results are different: in developed countries the impact of ICT on economic growth is more powerful than in developing countries. This paper aims at finding and measuring causality between Economic growth and ICT development in emerging economies of Central Asian Countries by using panel data over  the period of  19 years  from 2000 – 2018. The research findings revealed that inflation, trade openness, final consumption expenditure and unemployment impact significantly on GDP per capita in Central Asian countries.  The econometric analysis showed  that ICT affects to GDP per capita positively and significantly: one percent increase in ICT contributes to GDP per capita 0.1669 percent (fixed broadband subscriptions) and 0.2218 percent (internet usage).Thus we concluded that information and communication technology together with economic indicators are key part of economic development in Central Asian countries. Reduction of inflation and unemployment allow expanding businesses, to create new job places in the digital economy.


2018 ◽  
Author(s):  
YuSheng Kong ◽  
Rabnawaz Khan

This study analyzes the core energy consumption among countries specific variables by Environmental Kuznets Curve hypothesis (EKC), for a panel data of 29 (14 developed and 15 developing) countries during the period of 1977-2014. By assessing Generalized Method of Moments (GMM) regressions with first generation test such as common root, individual Augmented Dickey-Fuller (ADF), and individual root-Fisher-PP have been computed individually, the results confirm the EKC hypothesis in the case of emissions of solid, liquid, gases, manufacturing industries and also construction. Hence, we computed the cointegration test by Pedroni Kao from Engle-Granger based and Fisher. Onward, since the variable are co-integrated, a panel vector error correction model is estimated in GDP per capita, emission from manufacturing industries, arms import, commercial service export and coal rent, order to perform Pairwise Granger Causality test and indicate Vector Error Correction (VEC), with co-integration restrictions. Moreover, the statistical finding from VEC short-run unidirectional causality from GDP per capita growth to manufacturing industries and coat rent, as well as the causal link with manufacturing industries and commercial service export. Additionally, since there occurred no causal link among economic growth, arm import and coal rent.


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