scholarly journals Emisi Karbon dan Produk Domestik Bruto: Investigasi Hipotesis Environmental Kuznets Curve (EKC) pada Negara Berpendapatan Menengah di Kawasan ASEAN

2020 ◽  
Vol 8 (3) ◽  
pp. 230-246
Author(s):  
Muhamad Ameer Noor ◽  
Putu Mahardika Adi Saputra
Keyword(s):  
Environmental Kuznets Curve ◽  
Carbon Emission ◽  
Time Series Data ◽  
Developed Countries ◽  
Gdp Per Capita ◽  
Series Data ◽  
Kuznets Curve ◽  
Middle Income ◽  
Trade Offs ◽  
Per Capita

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.

The Environmental Kuznets Curve

2017 ◽  
Author(s):  
David I. Stern
Keyword(s):  
Economic Growth ◽  
Environmental Impacts ◽  
Environmental Kuznets Curve ◽  
Human Impacts ◽  
Developed Countries ◽  
Environmental Problems ◽  
Gdp Per Capita ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Impact

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.

scholarly journals The Impact of CO2 Emissions on the GDP per Capita, Employment Rate and Energy Consumption of China, Korea and Japan

2021 ◽  
Vol 6 (11) ◽  
pp. 315-333
Author(s):  
Allieah A. Mendoza ◽  
Kirby Duane Garret T. Reyes ◽  
Pauline Antonette D. Soriano ◽  
Ronaldo Cabauatan
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Gdp Per Capita ◽  
Series Data ◽  
Kuznets Curve ◽  
Total Employment ◽  
Cointegration Tests ◽  
Per Capita ◽  
The Impact

This paper aims to investigate the relationship between CO2 Emissions and GDP per capita of three East Asian countries (China, Japan, and South Korea). The Environmental Kuznets Curve hypothesis and its possible implications to the implementation of the Kyoto Protocol Agreement will be tested. The independent variables Employment and Energy consumption will be used as control variables. Multiple regression analysis and cointegration tests will be used on time series data of Japan, Korea, and China that is obtained from the World Bank database. GDP per capita is measured in constant 2010 US$, CO2 emission in kt, Employment in the ratio of total employment to total population aged 15 and above, and Energy Consumption in annual kWh per capita.

scholarly journals Empirical analysis of the environmental Kuznets Curve for atmospheric pollution and economic growth in Algeria

2021 ◽  
Vol 50 (3) ◽  
pp. 241-268
Author(s):  
Mohammed Touitou
Keyword(s):  
Economic Growth ◽  
Environmental Quality ◽  
Atmospheric Pollution ◽  
Environmental Kuznets Curve ◽  
Time Series Data ◽  
Series Data ◽  
Kuznets Curve ◽  
Cointegration Tests ◽  
Per Capita ◽  
Pollution Emissions

This study aimed at examining the Environmental Kuznets curve hypothesis for Atmospheric pollution and economic growth in Algeria, in the period 1980–2017. As indicators of pollution emissions were chosen CO2 emissions per capita (PECO2), SO2 emissions per capita (PESO2), and NOx emissions per capita (PENOx). To prove these relations, we are using time series data in Vector Autoregression model supported by cointegration tests. The results indicated that the assumption of Environmental Kuznets curve was confirmed for the case of Algeria, where the mapping showed us a curve in inverse U-shape Environmental Kuznets curve characterized by a rising phase that peaked when the level GDP was highest to move to a new downward phase where environmental quality is improving over time. In terms of the direction of causality, we identified a causal relationship to Granger from GDP to the different emissions, which justifies that the implementation of a range of measures protecting the environmental quality of Algeria should be the top priority in the context of sustainable development and enhancing the long-run growth. To reduce pollution emissions, Algeria is called upon to increase significantly the use of renewable energies and the establishment of a more efficient energy policy.

scholarly journals Testing the Existence of the Ricardian Equivalence in Ghana in this 21st Century

1970 ◽  
Vol 2 (2) ◽  
pp. 16-27
Author(s):  
Okwan Frank ◽  
Kovacs Peter
Keyword(s):  
Time Series Data ◽  
Aggregate Demand ◽  
Government Expenditure ◽  
Gdp Per Capita ◽  
Series Data ◽  
Ricardian Equivalence ◽  
Consumption Expenditure ◽  
Model Framework ◽  
Long Run ◽  
Per Capita

The Ricardian Equivalence Hypothesis formulated by a classical British economist David Ricardo argues that a reduced tax now is a tax increase in the future, the substitution of debt for current taxes has no effect on aggregate demand. The main objective of this paper is to examine empirically the existence of the Ricardian equivalency in Ghana by using time series data running from 1990 to 2017 and ARDL bound testing approach to cointegration and Error Correction Model framework developed by Pesaran and Shin (1995,1999). We examined the long run relationship between the dependent variable household final consumption expenditure and independent variables government expenditure, deficit, GDP per capita and gross debt. The long run results showed a positive and significant relationship between GDP per capita and household consumption expenditure. The result of analysis supports the Keynesian conventional theory and found strong evidence against the existence of the Ricardian Equivalency Hypothesis in Ghana.

scholarly journals Research and Development as a Moderating Variable for Sustainable Economic Performance: The Asian, European, and Kuwaiti Models

2020 ◽  
Vol 12 (18) ◽  
pp. 7525
Author(s):  
Ahmad Salman ◽  
Ali Al-Hemoud ◽  
Saja A. Fakhraldeen ◽  
Maha Al-Nashmi ◽  
Suad M. AlFadhli ◽  
...  
Keyword(s):  
Research And Development ◽  
Economic Performance ◽  
The State ◽  
Gdp Per Capita ◽  
Series Data ◽  
Middle Income ◽  
Middle Income Countries ◽  
The Mean ◽  
Per Capita ◽  
The State Of Kuwait

The research and development (R&D) expenditure in Kuwait is insufficient to lead to innovation and a knowledge economy. Investment in R&D has been shown to sustain elevated economic performance. The objective of this study is to explore the association between three competing dimensions of R&D indicators that lead to sustainable economic performance within any given country, namely, R&D expenditure, the number of researchers, and the number of patent rights, using time-series data collected over a 20-year period (1996–2016) by the World Bank Group. R&D indicators were compared between high- and middle-income countries including models from Asian (South Korea, Singapore, and Malaysia) and European (Finland and Ireland) countries as well as the State of Kuwait. Moreover, a case study describing R&D investments in Kuwait is presented. Overall, the results reveal higher R&D spending, number of researchers, and gross domestic product (GDP) per capita for the Asian and European models. Current R&D expenditure in Kuwait is estimated at 0.08% of GDP (2016), which is significantly lower than the mean of the middle-income countries (1.58%). Furthermore, the number of researchers (per million) in Kuwait (386) is less than half of the mean number of researchers in middle-income countries (775) (2015). Low R&D investments in the State of Kuwait has gradually led to a decreased GDP per capita. Regression analysis shows that GDP per capita can be predicted solely based on the number of researchers (beta = 0.780, R2 = 0.608). The number of researchers is the most crucial variable to predict GDP per capita, and the R&D expenditure is a good indicator of the number of researchers. These findings offer invaluable insight into the sustainable development goals (SDG 9). To our knowledge, this paper presents the first application of the effect of R&D on sustainable economic performance with reference to the SDG target 9.5 “Research & Development”. Thus, in order to enhance scientific research (both academic, professional, and industrial), countries need to increase the number of researchers, and these actions are necessary to introduce sustainable growth to GDP.

scholarly journals PERTUMBUHAN PENDUDUK, INFLASI DAN KORUPSI: ANALISIS EMPIRIS ENVIRONMENTAL KUZNETS CURVE (EKC) DI KAWASAN ASEAN PERIODE 2002-2016

2019 ◽  
Vol 1 (3) ◽  
pp. 71
Author(s):  
Muhammad Fajri Setia Trianto ◽  
Evi Yulia Purwanti
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Co2 Emissions ◽  
Environmental Kuznets Curve ◽  
Secondary Data ◽  
Gdp Per Capita ◽  
Environmental Damage ◽  
Kuznets Curve ◽  
Per Capita ◽  
The Impact

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.

Research on the Relationship between Economic Growth, Environmental Governance Investment and Carbon Emission--Based on the Time Series Data from 2000 to 2019

2020 ◽  
pp. 713-727
Author(s):  
Xiaohui Wang, Xin Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Environmental Governance ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita ◽  
The Relationship

The study on the relationship between investment in environmental governance, carbon emission and economic growth is helpful for the relevant government departments to coordinate the influence among them when formulating the policies of reducing emission and conserving energy, so as to take the comparative advantages of various factors and promote the benign interaction between economic development and environmental governance. In this paper, the data of Per capita GDP, per capita investment in environmental governance and per capita CARBON dioxide emissions in China from 2000 to 2019 are selected as the research basis, and variables are studied by means of Granger causality and impulse response function. As shown in the results, there is a single Granger relationship between investment in environmental governance and carbon emissions, that is, the increase of investment in environmental governance leads to the reduction of carbon emissions. The influence of economic growth on environmental governance investment is small, but in the long term, it can restrain the growth of carbon emissions. Investment in environmental governance can promote economic growth and stimulate a reduction in the emissions in the short term; Economic growth was hindered by the emissions in the long term and fail to stimulate increased investment in environmental governance. Based on these findings, this paper proposes policy Suggestions for optimizing the structure of environmental governance investment, improving the carbon emission monitoring and response mechanism, and strengthening the technological level of energy conservation and emission reduction.

scholarly journals FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH IN MALAYSIA FROM 1990 TO 2019: VECM APPROACH

2021 ◽  
Vol 3 (8) ◽  
pp. 37-54
Author(s):  
Norhidayati Mohamed Zakaria ◽  
Mohamad Yazis Ali Basah
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Time Series Data ◽  
Global Financial Crisis ◽  
Gdp Per Capita ◽  
Series Data ◽  
Integration Test ◽  
Domestic Credit ◽  
Per Capita ◽  
The Relationship

Economists believe that efficient financial development is significant for building sustainable economic growth in any country. The global financial crisis, economic events and country’s uniqueness has resulted in continuous research to examine the relationship of financial and economic development using numerous methods and indicators which presented various simulation that led to different views on the linkages. Most of the studies had tested the indicators individually which resulted in less dynamic findings and creates a gap in the research. Hence, this paper aims to examine the relationship between financial development and economic growth in Malaysia by observing different economic indicators concurrently. This study using Malaysia’s annual time series data from 1990 to 2019. This study employs descriptive statistics, regression estimations, unit root test, Johansen co-integration test, VAR, and VECM modeling. The FTSE Kuala Lumpur Composite Index (FBMKLCI) and domestic credit as a percentage to GDP (DC) have been used as proxies for financial development while GDP per capita and Industrial Production Index (IPI) as proxies for economic growth. The findings reveal that FBMKLCI and domestic credit produces a significant relationship towards GDP per capita in the long run and short run. Contrary results found in FBMKLCI-domestic credit-IPI nexus whereby FBMKLCI and domestic credit demonstrate negative association towards IPI. As this study uses the same variables to indicates the relationship towards unalike economic growth gauge, more dynamic work and effort shall be considered to enhance the results. Government and respective institutions shall play their role effectively to revisit or formulate policy and law of the financial system to stimulate the growth of the Malaysian economy.

scholarly journals The Kenya Case of Multivariate Causality of Carbon Dioxide Emissions

2016 ◽  
Author(s):  
Samuel Asumadu-Sarkodie ◽  
Phebe Asantewaa Owusu
Keyword(s):  
Carbon Dioxide ◽  
Financial Development ◽  
Carbon Dioxide Emissions ◽  
Food Production ◽  
Time Series Data ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Series Data ◽  
Production Index ◽  
Per Capita

In this study, an attempt was made to investigate the Kenya case of multivariate causality of carbon dioxide emissions by employing a time series data spanning from 1961-2011 using the ARDL method of cointegration analysis. The long-run elasticities show that, a 1% increase in financial development increases carbon dioxide emissions by 0.28%, a 1% increase in GDP per capita increases carbon dioxide emissions by 1.32% and a 1% increase in urbanization decreases carbon dioxide emissions by 1.14%. There was a unidirectional causality running from financial development, food production index, GDP per capita, industrialization and urbanization to carbon dioxide emissions. The innovation accounting shows that 20% of future shocks in carbon dioxide emissions are due to fluctuations in financial development, 9% of future shocks in financial development are due to fluctuations urbanization and 22% of future shocks in food production index are due to fluctuations in carbon dioxide emissions.

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