Carbon dioxide emissions and the prospects for Lao PDR’s economic self-development (original) (raw)
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Co2 Emissions and Economic Growth in Vietnam: An ARDL Bound Testing Approach
Asian Journal of Economic Modelling, 2018
This study examines the impacts of CO2 emissions on economic growth of Vietnam for the period 1986-2015 by using Autogressive Distributed Lag (ARDL) model. The results reveal that there is cointegration relationship between CO2 emissions and economic growth. In the long run carbon dioxide emissions have a significant negative impact on Vietnam economic growth. Therefore, in order to achieve a sustainable growth and development, it is advisable for the Vietnamese government to focus on environmental protection policy. Contribution/ Originality: This is the very first study to examine the impacts of carbon dioxide emissions on Vietnam economic growth for the 1986-2015 period. The results show that carbon dioxide emissions have a significant negative impact on Vietnam economic growth.
Energy, 2015
The purpose of this paper is to examined the empirical effects of stocks traded-total value, foreign direct investment, number of students, and fossil fuel energy consumption on nitrogen dioxide (NO2) emissions in Iran using time series data for the period 1978-2012. To achieve this goal, we applied the autoregressive distributed lag (ARDL) bounds testing approach. Findings indicate that foreign direct investment, fossil fuel energy consumption, and number of students stimulate NO2 emissions in the long run. Based on these findings, the study recommends that Iran reduce emissions by expanding its existing Carbon Capture, Utilization, and Storage plants; capitalizing on its vast solar and wind energy; reducing high subsidies of the residential electricity scheme; and aggressively investing in energy research to build expertise for achieving electricity generation efficiency. It must be noted that greenhouse gas reduction policies cannot produce immediate results in changing wind and precipitation patterns and thus mitigating climate change effects.
Factors influencing CO2 Emission in China: A Nonlinear Autoregressive Distributed Lags Investigation
2019
This paper investigates the environmental impact of economic growth, energy consumption, financial development and globalization in China over the period 1970Q1-2015Q4. In particular we consider four dimensions of globalization namely economic, social, political and overall globalization. The Nonlinear Autoregressive Distributed Lags (NARDL) model has been employed to capture the potential asymmetric impact of the determinants of dioxide carbon emissions in China. Interestingly, findings show that: (1) In the short-run: economic growth and financial development have a significant symmetric impact on CO2 emissions. Energy consumption has a nonlinear and asymmetric influence on CO2 emissions. However, economic globalization does not impact CO2 emissions. (2) In the long-run: economic growth, financial development and economic globalization exhibit an asymmetric influence on carbon emissions in model including the economic dimension of globalization. Economic growth has a positive symm...
Determinants of Carbon Dioxide Emissions in ASEAN 4
International Journal of Multicultural and Multireligious Understanding
Climate change is becoming a serious problem today due to the increase in the earth's surface temperature. environmental damage is the impact of investment, trade, and economic growth processes. We analyzed the relationship between CO2, FDI inflows, trade, and GDP in ASEAN 4 during the period 1970 – 2018 using the Vector Autoregressive (VAR) method. Our results show that the relationship between FDI inflows, trade, and economic growth on CO2 emissions is dependent on each country in ASEAN 4. Therefore, universal policies in the ASEAN region cannot be applied.
This paper aims to investigate the impact of foreign direct investment (FDI) on carbon dioxide (CO2) emissions through pollution-haven hypothesis model for original ASEAN5 (Malaysia, Singapore, Thailand, Indonesia, and Philippines) countries by using Autoregressive Distributed Lag (ARDL) approach also known as Bound test. Annual time series data is employed for the period spanning from 1970-2008 comprising 39 years of observation. The ARDL technique has the advantage of not requiring a specific identification of the order of the underlying data besides this technique is suitable for small or finite sample size. The results of ECM-ARDL for short run analysis are indicated that in the Philippines case, most of the coefficients in the short run are significant except for gross national income per capita (GNI). In the short run, GNI has showed positively relationship with the CO2 while the manufacturing value added (MV) has negative relationship with the CO2. Other countries in this study; Thailand and Indonesia show a mix evidence of relationship between their independent variables and the dependent variable. Moreover, the results of the long run elasticities show that for GNI, MV, and FDI have significantly and positively influenced the level of CO2 in Indonesia and Thailand. As compared to Philippines, only FDI inflow is positively influence the level of CO2 in this country. ASEAN5 countries should carefully monitor the level of CO2 in the nation as they received more FDI inflow in the countries.
International Journal of Energy Economics and Policy
This paper analyzes the causal link between CO2 emission, energy consumption, GDP, square of GDP, and foreign direct investment in the Environmental Kuznets Curve for Thailand from 1971-2014. Three steps are used: bound tests to verify the presence of cointegration, autoregressive distributed lag (ARDL) model to check the effects of the dependent variables on the independent variable in the short run and long run, and finally, the vector error correction (VECM) was used the detect the causal relationships among variables. The results show no cointegration between variables, confirming the short-run relationship's existence. In addition, the Granger causality results show varied outcomes, indicating that two bidirectional causal relationships exist in the short run. The first relationship is between energy consumption and GDP, and the second is between energy consumption and GDP2. In addition, there are seven unidirectional relationships where FDI affects CO2 emission, energy...
2014
This paper aims to investigate the impact of foreign direct investment (FDI) on carbon dioxide (CO2) emissions through pollution-haven hypothesis model for original ASEAN5 (Malaysia, Singapore, Thailand, Indonesia, and Philippines) countries by using Autoregressive Distributed Lag (ARDL) approach also known as Bound test. Annual time series data is employed for the period spanning from 1970-2008 comprising 39 years of observation. The ARDL technique has the advantage of not requiring a specific identification of the order of the underlying data besides this technique is suitable for small or finite sample size. The results of ECM-ARDL for short run analysis are indicated that in the Philippines case, most of the coefficients in the short run are significant except for gross national income per capita (GNI). In the short run, GNI has showed positively relationship with the CO2 while the manufacturing value added (MV) has negative relationship with the CO2. Other countries in this study; Thailand and Indonesia show a mix evidence of relationship between their independent variables and the dependent variable. Moreover, the results of the long run elasticities show that for GNI, MV, and FDI have significantly and positively influenced the level of CO2 in Indonesia and Thailand. As compared to Philippines, only FDI inflow is positively influence the level of CO2 in this country. ASEAN5 countries should carefully monitor the level of CO2 in the nation as they received more FDI inflow in the countries. Ridzuan et al.; AJAEES, Article no. AJAEES.2014.5.002 393
Toward sustainable development: Green economy with economic growth and carbon emission in Vietnam
2024
Transitioning to a green economy is a global concern, considered a pathway to sustainable development. This paper aims to investigate the effect of the transition into a green economy on Vietnam's sustainable development and its two economic and environmental dimensions, with consideration of several essential issues including renewable energy, technological innovation, natural resource rents (oils, forest, and minerals), foreign direct investment, and trade. This paper utilizes data from 1996 to 2020 and then applies the autoregressive distributed lag (ARDL) method for analysis. The results conclude that renewable energy is a driving key to reducing environmental degradation, but it hampers economic growth, while the contrast occurs with technology. Our results emphasize the dependence on non-renewable energy, whereas the innovation of technology does not show a green orientation in Vietnam. Furthermore, there is a lack of sustainability in the effect of natural resource rents, foreign direct investment, and trade. Overall, the transition into a green economy in Vietnam does not illustrate the sustainable orientation. The findings of this research provide empirical evidence to clarify the relationship between this transition and its driving factor, with sustainable development and the two economic environment dimensions. In addition, this study will bring worthwhile implications for the policymakers and scholars on whether the transition to a green economy fulfills the orientation towards sustainability, then enhancing the economy's efficiency to achieve green growth, following the pathway to sustainable development.
Asia-Pacific Journal of Regional Science
Global climate change caused by Greenhouse Gases (GHGs), particularly carbon dioxide (CO 2) emissions, poses incomparable threats to the environment, development and sustainability. Vietnam is experiencing continuous economic growth and agricultural advancement, which causes higher energy consumption and CO 2 emissions. Understanding Vietnam's sensitivity to climate change is becoming more crucial for governments trying to reconcile climate change mitigation and sustainable development. Analyzing pollution-development trade-offs can help minimize environmental degradation in Vietnam. Therefore, the present study empirically investigated the nexus between economic growth, energy use, agricultural added value and CO 2 emissions in Vietnam. To investigate the short-run and long-run relationships between the variables, this study employed the autoregressive distributed lag (ARDL) technique and the Vector Error Correction Model (VECM) using the time series data from 1984 to 2020 for Vietnam. The empirical findings indicated that economic growth and energy use trigger environmental degradation by increasing CO 2 emissions, whereas enhancing agricultural added value improves Vietnam's environmental quality by reducing CO 2 emissions in both the long-run and shortrun. The estimated results are robust compared with alternative estimators such as dynamic ordinary least squares (DOLS), fully modified least squares (FMOLS), and canonical cointegrating regression (CCR). This research contributes to the existing literature by shedding light on the potential of agricultural added value to reduce emissions in Vietnam and provides policy recommendations in areas of low-carbon economy, promoting renewable energy, and sustainable agriculture that can reduce CO 2 emissions in Vietnam.
The Impact of Co2 on Economic Growth in Asean 8
Procedia - Social and Behavioral Sciences, 2012
Environmental pollution may directly decrease output and decreasing productivity of man-made capital and labor. The distressfulness and the long term damaging effect of this environmental pollution can contribute to destructive consequences on human wellbeing and economy. The purpose of the study is to examine the relationship between CO 2 on economic growth in Asean 8. 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. In the pollution indicator emissions, CO 2 in Asean 8, the Environmental Kuznets Curve relationship is found.