Evaluating the impact of energy and environment on economic growth in BRI countries

2022 ◽  
pp. 0958305X2110738
Author(s):  
Muhammad Noshab Hussain ◽  
Zaiyang Li ◽  
Abdul Sattar ◽  
Muhammad Ilyas

This study investigates the impact of renewable energy consumption (REC), nonrenewable energy consumption (NREC), and carbon emissions on economic growth in 133 Belt and Road Initiative (BRI) countries from 1996 to 2020. We divided our sample into four income groups. For empirical estimation, this study employs panel quantile regression (PQR), and fully modified ordinary least squares (FMOLS) estimation techniques. The results confirm that REC have a positive impact on economic growth and NREC has a negative impact on economic growth. A 1% increase in REC and carbon emissions results in an increase in economic growth of 0.108% and 1.085%, respectively. A 1% increase in NREC reduces economic growth by 0.263% in the full sample countries. There are regional differences, although NREC has a positive impact on economic growth in all income groups in the long run. These novel empirical findings will help policymakers design energy policies to fulfill the target of economic growth in BRI countries.

2021 ◽  
pp. 0958305X2110453
Author(s):  
Jaleel Ahmed ◽  
Shuja ur Rehman ◽  
Zaid Zuhaira ◽  
Shoaib Nisar

This study examines the impact of financial development on energy consumption for a wide array of countries. The estimators used for financial development are foreign direct investment, economic growth and urbanization. The study employed a panel data regression on 136 countries with time frame of years 1990 to 2019. The model in this study deploys system GMM technique to estimate the model. The results show that financial development has a significant negative impact on energy consumption overall. Foreign direct investment and urbanization has significant impact on energy consumption. Also, economic growth positive impact on energy consumption its mean that economic growth promotes energy consumption. When dividing further the sample into different groups of regions such as Asian, European, African, North/Latin American and Caribbean countries then mixed results related to the nexus between financial development and energy consumption with respect to economic growth, urbanization and foreign direct investment. The policymakers in these different groups of countries must balance the relationship between energy supply and demand to achieving the sustainable economic development.


2020 ◽  
Vol 12 (11) ◽  
pp. 4689 ◽  
Author(s):  
Shahriyar Mukhtarov ◽  
Jeyhun I. Mikayilov ◽  
Sugra Humbatova ◽  
Vugar Muradov

The study analyzes the impact of economic growth, carbon dioxide (CO2) emissions, and oil price on renewable energy consumption in Azerbaijan for the data spanning from 1992 to 2015, utilizing structural time series modeling approach. Estimation results reveal that there is a long-run positive and statistically significant effect of economic growth on renewable energy consumption and a negative impact of oil price in the case of Azerbaijan, for the studied period. The negative impact of oil price on renewable energy consumption can be seen as an indication of comfort brought by the environment of higher oil prices, which delays the transition from conventional energy sources to renewable energy consumption for the studied country case. Also, we find that the effect of CO2 on renewable energy consumption is negative but statistically insignificant. The results of this article might be beneficial for policymakers and support the current literature for further research for oil-rich developing countries.


2020 ◽  
Vol 9 (1) ◽  
pp. 114-130
Author(s):  
Chai-Thing Tan ◽  
Azali Mohamed ◽  
Muzafar Shah Habibullah ◽  
Lee Chin

This article analyses the impact of monetary and fiscal policies on economic growth in Malaysia, Singapore and Thailand from 1980:Q1 to 2017:Q1. Autoregressive distributed lag (ARDL) approach is employed to determine the long-run relationship. Further, a range of econometric models, such as fully modified least squares method (FMOLS), canonical cointegration regression (CCR) and dynamic ordinary least squares method (DOLS), are applied to check the robustness. The results are stable and robust as all the models yield consistency result. The main findings in this study demonstrate that: (a) interest rate had a negative impact on economic growth in three selected countries. (b) Government spending had a negative impact on economic growth in Malaysia and Singapore, but had a positive impact in Thailand. (c) Monetary policy is more effective in Malaysia and Singapore, while fiscal policy is more effective in Thailand. JEL Classification: E52, E58, E62, C01


2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Narain Sinha ◽  
Kefilwe Allister Kalayakgosi

This study has investigated the impact of government size on economic growth in Botswana using annual time series data for the period 1973 to 2012. The study adopted a framework analysis based on a quadratic function/second degree polynomial regression employed by Herath (2012). Ordinary Least Squares (OLS) method was used for the regression analysis. The results obtained are not consistent with the empirical and theoretical views as small government size has a negative impact on economic growth while a large government size has a positive impact on economic growth. The results obtained in the study were opposite to the views of most of the studies conducted. Nominal Total government expenditure is used as a measure of government size and growth of nominal GDP is used to measure economic growth. The study also employed other control variables which affect growth like government revenue as a percentage of GDP, Gross capital formation (GCF) as a percentage of GDP as proxy for investment rate and growth of paid employees as a proxy for labor force growth. The results showed that government revenue and GCF had a negative impact on economic growth but GCF was insignificant. Growth of paid employees on the other hand had a positive impact on economic growth. The study aimed at investigating the existence of the Armey curve in a developing country like Botswana. Due to government size having a negative impact on economic growth and government size squared having a positive impact on economic growth the conclusion is that the Armey curve does not exist in Botswana.


2019 ◽  
Vol 18 (3) ◽  
pp. 366-380 ◽  
Author(s):  
Malak Samih Abu Murad ◽  
Nooh Alshyab

Purpose Political instability may have far-reaching implications for economic performance. This paper aims to analyze the impact of political instability on economic growth by focusing on the case of Jordan, a small country located in the Middle East, which represents a highly political instable region. Design/methodology/approach The analysis is performed by regressing different indicators for internal and external political instability on economic growth for the period from 1980 to 2015 using the fully modified ordinary least squares approach. Findings The results point at a significant impact of political instability on the economic growth of the country in all the specifications considered; in particular, the analysis reveals a positive impact of external political instability indexed by border countries’ political instability and a negative impact of internal political instability, as proxied by the number of crimes and cabinet changes. Further, regarding the effect of the level of freedom, the authors find evidence for the so-called conflict perspective. Originality/value This paper is original and relevant for two main reasons. First, it adds to the debate on the effects of political instability on economic growth, and hereby, disentangles the effects of internal and external political instability. Second, it makes an important contribution by focusing on the case of Jordan, which has received little attention in the literature on political instability so far, even though political instability is a constant threat to the country.


2021 ◽  
Vol 13 (12) ◽  
pp. 6749
Author(s):  
Shuyang Chen

In the literature, very few studies have focused on how urbanisation will influence the policy effects of a climate policy even though urbanisation does have profound socioeconomic impacts. This paper has explored the interrelations among the urbanisation, carbon emissions, GDP, and energy consumption in China using the autoregressive distributed lag (ARDL) model. Then, the unit urbanisation impacts are inputted into the policy evaluation framework of the Computable General Equilibrium (CGE) model in 2015–2030. The results show that the urbanisation had a positive impact on the GDP but a negative impact on the carbon emissions in 1980–2014. These impacts were statistically significant, but its impact on the energy consumption was not statistically significant. In 2015–2030, the urbanisation will have negative impacts on the carbon emissions and intensity. It will decrease the GDP and the household welfare under the carbon tax. The urbanisation will increase the average social cost of carbon (ASCC). Hence, the urbanisation will reinforce the policy effects of the carbon tax on the emissions and welfare.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.


Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2363
Author(s):  
Mihaela Simionescu ◽  
Carmen Beatrice Păuna ◽  
Mihaela-Daniela Vornicescu Niculescu

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.


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