The nexus between trade openness and energy demand is hot topic of discussion among academicians and researchers, and numerous studies are available in existing literature while investigating the nexus between trade openness and energy demand. This paper explores the relationship between energy consumption, trade openness and economic growth in case of Thailand. In doing so, we have applied Bayer and Hanck cointegration approach to test whether the long run relationship exists between the variables. Our results confirm the presence of cointegration between the variables. Energy consumption stimulates economic growth. Trade openness adds in economic growth. The causality analysis reveals that energy consumption Granger causes economic growth and in resulting, economic growth Granger causes energy consumption. Trade openness and energy consumption are interdependent i.e. trade openness Granger causes energy consumption and in return, energy consumption Granger causes trade openness. This paper openness up new directions for policy making authorities in Thailand to design a comprehensive energy and trade policies to sustain economic growth for long run.
The relationship between financial development and economic growth is not conclusive in existing economics literature. The aim of this paper is to test two hypotheses: 'supply-leading' hypothesis and 'demand-following' hypothesis, using Laos time series data. The ARDL bounds testing approach to cointegration is used to carry out this task. Our results confirm the presence of feedback effect between both variables. Financial development promotes economic growth and in resulting, economic growth leads financial development.
This study aims to test the existence of J-curve phenomenon in Laos economy using quarterly data over the period of 1993-2010. The ARDL bounds testing approach to cointegration is used to examine short run as well as long run impact of real depreciation of Lao kip on Lao trade balance. The empirical results suggest that there is J-curve effect in case of Laos. The impact of real depreciation of the Lao kip on Lao trade balance is insignificant in long run. In short-run, real depreciation has inverse impact on Lao's trade balance. The long-run trade balance is determined by domestic income.
This paper applies Pedroni's panel cointegration approach to explore the causal relationship between trade openness, carbon dioxide emissions, energy consumption, and economic growth for the panel of newly industrialized economies (i.e., Brazil, India, China, and South Africa) over the period of 1970-2013. Our panel cointegration estimation results found majority of the variables cointegrated and confirm the long-run association among the variables. The Granger causality test indicates bidirectional causality between carbon dioxide emissions and energy consumption. A unidirectional causality is found running from trade openness to carbon dioxide emission and energy consumption and economic growth to carbon dioxide emissions. The results of causality analysis suggest that the trade liberalization in newly industrialized economies induces higher energy consumption and carbon dioxide emissions. Furthermore, the causality results are checked using an innovative accounting approach which includes forecast-error variance decomposition test and impulse response function. The long-run coefficients are estimated using fully modified ordinary least square (FMOLS) method, and results conclude that the trade openness and economic growth reduce carbon dioxide emissions in the long run. The results of FMOLS test sound the existence of environmental Kuznets curve hypothesis. It means that trade liberalization induces carbon dioxide emission with increased national output, but it offsets that impact in the long run with reduced level of carbon dioxide emissions.
Purpose
The purpose of this paper is to investigate the tourism-led growth hypothesis in Laos.
Design/methodology/approach
The authors test the tourism-led growth hypothesis using autoregressive distributed lag (ARDL) cointegration estimation (Pesaran et al., 2001) and Granger causality tests.
Findings
The results of this paper show that when tourism is forcing variable, there is no long-run relationship between tourism development and economic growth. The Granger causality test demonstrates that there is a uni-directional causality running from economic growth in tourism.
Social implications
The empirical results and policy recommendation may be useful for other small developing countries.
Originality/value
This study is the first study to investigate the relationship between tourism development and growth in Laos, using a relatively new econometric approach – ARDL bound testing.
The objective of the study is to examine the relationship between air pollution, fossil fuel energy consumption, water resources, and natural resource rents in the panel of selected Asia-Pacific countries, over a period of 1975-2012. The study includes number of variables in the model for robust analysis. The results of cross-sectional analysis show that there is a significant relationship between air pollution, energy consumption, and water productivity in the individual countries of Asia-Pacific. However, the results of each country vary according to the time invariant shocks. For this purpose, the study employed the panel least square technique which includes the panel least square regression, panel fixed effect regression, and panel two-stage least square regression. In general, all the panel tests indicate that there is a significant and positive relationship between air pollution, energy consumption, and water resources in the region. The fossil fuel energy consumption has a major dominating impact on the changes in the air pollution in the region.
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