Pollution,energy use,GDP and trade: estimating the long-run relationship for Vietnam

Since the beginning of economic reform in the 1980s and, in particular, with its openness to international trade accelerating since the 1990s, the Vietnamese economy has registered significant growth. At the same time, energy consumption and the level of pollution in Vietnam has also increased. This article aims to focus on the link between openness to trade and pollution in Vietnam. Due to lack of data, very few existing studies have focused on Vietnam. Using annual data from1980 to 2011 and employing the bounds testing approach to cointegration, based on an autoregressive distributed lagged (ARDL) model, we find that there is a statistically significant long-run relationship amongst pollution, openness to trade, energy consumption and real national income in Vietnam. This conclusion continues to hold when the possibility of a structural break in the relationship is allowed for using the Gregory-Hansen approach to cointegration. Analysis of the cointegration relationship suggests that, in response to any exogenous shock to the system, adjustment back to the long-run equilibrium is very fast.     

The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.     

Does oil price variability affect ASEAN exchange rates? Evidence from panel cointegration test

Using panel data, this article investigates the long-run relationship between real oil prices and real exchange rates for selected ASEAN countries by utilizing quarterly data from 1973:Q1 to 2013:Q4. The modelling implementation starts with the determination of the stationarity condition of the variables which are found to be integrated of order one. Using Maddala and Wu’s (1999) panel cointegration test, the article finds evidence of cointegration among the variables. The fully modified OLS (FMOLS) and dynamic OLS (DOLS) are then used to estimate the long-run relationship between the variables, followed by applying Toda–Yamamoto causality test. The findings exhibit bidirectional causality between real oil prices and real exchange rates in the long run, where it is highly significant.     

Estimation of a German money demand system – a long-run analysis

This study presents a multivariate analysis of the stability of long-run relationships between variables that influence the conduct and transmission process of the German monetary policy. The initial VAR comprises the variables real money M3, real GNP, the inflation rate, a long-term and a weighted short-term interest rate. A multivariate approach has been chosen, as this allows for more than one cointegration relationship and to test restrictions on the cointegration space. In contrast to most other studies on German monetary policy, three stable and economically plausible cointegration relationships are obtained simultaneously within the framework of the Johansen procedure: a money demand relationship, a long-run Fisher effect and a long-run relationship between the short- and the long-term interest rate. It is apparent that the structural break of German reunification can be modelled incorporating dummy variables in the model. First version received: October 1996/final version received: July 1997     

Long-run money demand in OECD countries: what role do common factors play?

This article examines the long-run money demand function for 11 OECD countries from 1983Q1 to 2006Q4 using panel data. The distinction between common factors and idiosyncratic components using principal component analysis allows for the detection of cross-member cointegration and the determination as to whether national or international sources are responsible for the non-stationarity of money and its determinants. Indeed, the finding that the common factors are I(1) while the idiosyncratic components are I(0) indicates that cross-member cointegration may exist and non-stationarity in the variables is primarily driven by common international trends. Furthermore, it is found that the impact of income on money demand is positive, whereas it is negative for the interest rate, exchange rate and stock prices. Except for the income elasticity of money demand, all estimated long-run coefficients are larger for the common factors of the variables than for the variables themselves. This article provides evidence that the exchange rate is an important determinant of money demand, whereas the results for the stock prices are ambiguous. Finally, the results of a panel-based error-correction model suggest that several domestic money stocks converge to a common international equilibrium relationship between the common factors.     

Do oil consumption and economic growth intensify environmental degradation? Evidence from developing economies

The purpose of this article is to empirically investigate the impact of economic growth, oil consumption, financial development, industrialization and trade openness on carbon dioxide (CO₂) emissions, particularly in relation to major oil-consuming developing economies. This study utilizes annual data from 1980 to 2012 on a panel of 18 developing countries. Our empirical analysis employs robust panel cointegration tests and a vector error correction model (VECM) framework. The empirical results of three panel cointegration models suggest that there is a significant long-run equilibrium relationship among economic growth, oil consumption, financial development, industrialization, trade openness and CO₂ emissions. Similarly, results from VECMs show that economic growth, oil consumption and industrialization have a short-run dynamic bidirectional feedback relationship with CO₂ emissions. Long-run (error-correction term) bidirectional causalities are found among CO₂ emissions, economic growth, oil consumption, financial development and trade openness. Our results confirm that economic growth and oil consumption have a significant impact on the CO₂ emissions in developing economies. Hence, the findings of this study have important policy implications for mitigating CO₂ emissions and offering sustainable economic development.     

Long-run income and price elasticities of demand for Colombian nontraditional exports: a multivariate cointegration framework

A long run income and price elasticities of demand is estimated for Colombian nontraditional exports through a multivariate cointegration analysis. Based on the combination of cointegration and exogeneity concepts and the inclusion of the complete dynamic system, the paper shows the existence of a long-run relationship among nontraditional exports, relative price and foreign demand, and higher long-run elasticities than those provided by the long-run cointegration vector coefficients that are usually reported in the trade literature.     

Error-correction based panel estimates of the demand for money of selected Asian countries with the extreme bounds analysis

This paper uses the extreme bounds analysis (EBA) of Leamer (1983, 1985) to analyze the robust determinants of the demand for money in a panel of 17 Asian countries for the period 1970 to 2009. These robust determinants are found to be unit root variables. Therefore, cointegration between these variables is tested with a recent time series panel method developed by Westerlund (2007). This method uses the error-correction formulation and has more power against the null of no cointegration. The results show that there is a well-defined long-run demand for money. Using the lagged error correction term from the estimated cointegrating equation, the short-run dynamic relationships are estimated. This paper, thus, suggests some useful guidelines to estimate other relationships with panel data.     

Long-run estimates of interfuel and interfactor elasticities

Meta-analyses of interfuel and capital-energy elasticities of substitution show that elasticity estimates are dependent on the type of data − time series, panel, or cross-section − and the estimators used. Econometric theory suggests that the between estimator might generate the best estimates of long-run elasticities but no existing estimates of elasticities of substitution have used it. Alternatively, Chirinko et al. argued in favor of estimating long-run elasticities of substitution using a long-run difference estimator. We provide estimates of China’s interfuel and interfactor elasticities of substitution using the between and long-run difference estimators. To address potential omitted variables bias, we add province level inefficiency and national technological change terms to our regression model. The results show that demand for coal and electricity in China is very inelastic, while demand for diesel and gasoline is elastic. With the exception of gasoline and diesel, there are limited substitution possibilities among the fuels. Substitution possibilities are greater between energy and labor than between energy and capital. The results are quite different to some previous studies for China but coincide well with the patterns found in meta-analyses for long-run estimates of elasticities of substitution.     

Long-run Effective Demand in the US Economy: An Empirical Test of the Sraffian Supermultiplier Model

The Sraffian supermultiplier is a model of demand-led growth that stresses the importance of the autonomous components of aggregate demand (exports, public spending and autonomous consumption). This article tests empirically some major implications of the model employing macroeconomic data for the United States. In particular, we study the long-run relation between autonomous demand and output through cointegration analysis. The results suggest that autonomous demand and output are cointegrated and that autonomous demand exerts a long-run effect on output. There is also some evidence of simultaneous causality, especially in the short-run. Movements in autonomous demand and in the investment share are also found to be positively related, with Granger-causality going from Z to I/Y.     

Analysing money demand relation for OECD countries using common factors

This article investigates the existence of a long-run money demand relation for a panel data consisting of 13 OECD countries. The analysis is based on the most recent data. The existence of a long-run money demand relation is tested with two new meta-analytic panel cointegrating rank tests which are robust to cross-sectional dependence. Cross-sectional dependency in the data generating process is modelled by unobserved common factors. The observed data are decomposed into idiosyncratic and common components, and these two components are analysed separately to find out the driving forces of the long-run stationary relationship. The evidence shows that the long-run money demand relation is driven by the cross-unit cointegration. Finally, the long-run relation is estimated by taking the common factors into account.     

CO2 emissions,economic growth,energy consumption,trade and urbanization in new EU member and candidate countries: A panel data analysis

This paper investigates the causal relationship between energy consumption, carbon dioxide emissions, economic growth, trade openness and urbanization for a panel of new EU member and candidate countries over the period 1992–2010. Panel unit root tests, panel cointegration methods and panel causality tests are used to investigate this relationship. The main results provide evidence supporting the Environmental Kuznets Curve hypothesis. Hence, there is an inverted U-shaped relationship between environment and income for the sampled countries. The results also indicate that there is a short-run unidirectional panel causality running from energy consumption, trade openness and urbanization to carbon emissions, from GDP to energy consumption, from GDP, energy consumption and urbanization to trade openness, from urbanization to GDP, and from urbanization to trade openness. As for the long-run causal relationship, the results indicate that estimated coefficients of lagged error correction term in the carbon dioxide emissions, energy consumption, GDP, and trade openness equations are statistically significant, implying that these four variables could play an important role in adjustment process as the system departs from the long-run equilibrium.     

Dynamics between energy,output, openness and financial development in sub-Saharan African countries

This study aims to establish the connection between energy use, economic output, financial development and trade, based on the panel data of 15 sub-Saharan African (SSA) countries during the period from 1983 to 2010. One full main panel and two subpanels were created by incorporating low-income and middle-income countries. The panel cointegration test results indicate a long-run relationship between the variables. The mean group (MG) estimators show that energy consumption, financial development, capital and international trade have significant impacts on economic output. In the case of middle-income countries, the Granger causality analysis reveals that rising economic output leads to higher energy consumption, but this is not true vice versa. This means that energy conservation measures are unlikely to have adverse impacts upon economic output. On the other hand, there is a complementary relationship between financial development and energy consumption. In this case, energy conservation measures should be critically analysed and implemented, so as not to have an unfavourable impact on financial development. In regard to low-income economies, there is no relationship between energy use and any of the other variables mentioned. Thus, a reduction in energy consumption has little or no significant impact on output, financial development, capital and trade.     

Cointegration and spatial price transmission among wheat and wheat-flour markets in Afghanistan

This article examines cointegration and spatial price transmission among Afghan wheat and flour markets as well as their linkages with those of supplier countries and global markets. Unit root tests, consistent momentum threshold autoregressive (M-TAR) models and vector error correction models (asymmetric and symmetric) are employed to achieve research objectives. The results suggest that provincial wheat and flour markets may have a long-run relationship with principal market of Kabul. Afghan wheat and flour markets may also be cointegrated with their respective global, Kazakh and Pakistani markets. While provincial wheat markets might adjust to divergence from their long-run equilibrium with Kabul wheat market, some of the provincial flour markets may not respond to deviation from their long-run equilibrium with Kabul flour market. The speed of adjustment towards the long-run Afghan–Pakistani and Afghan–Kazakh equilibrium may be faster for Afghan flour than wheat markets. The equilibrium adjustment coefficients are generally small and market imperfections may exist, however. A shock in Kabul wheat and flour markets may have long-lasting effect on the respective provincial markets whereas a shock in global wheat and Pakistani, and Kazakh wheat and flour markets might have transitory effect on the corresponding Afghan markets.     

Revisiting residential demand for electricity in Greece: new evidence from the ARDL approach to cointegration analysis

This article re-examines the long-run and short-run determinants of the aggregate residential demand for electricity in Greece using data spanning the period 1964–2006 and the recently advanced ARDL cointegrating method (Pesaran, J Appl Econ 16:289–326, 2001) that has not been hitherto applied to Greek data. The results of the ARDL method combined with the (Johansen, J Econ Dyn Control 12:231–254, 1988) cointegration method show the presence of an equilibrium relationship among the variables involved. These findings may shed new light on the contemplation of more effective energy policies with respect to electricity.     

Export growth slowdown and currency crisis: the Malaysian experience

A slowdown in export growth occurred in all East Asian economies that were affected by the Asian currency crisis. Misaligned exchange rates have been widely cited as a cause of the slowdown. In the Malaysian context at least a vulnerability to the downturn in the electronic cycle could also be a major factor leading to poor export performance. Using the US/yen dollar rate as a proxy for exchange rate misalignment and US total new orders for electronics as a proxy for global electronics demand, cointegration analysis was used to establish the likely causes of a slowdown in Malaysia's export performance. Empirical results suggest that a unique long-run relationship exists between all three variables. The policy implications of these results including exchange rate monitoring and export diversification are discussed in the conclusion.     

Consumption and fiscal policy

This paper uses the life-cycle approach to derive an equilibrium intratemporal efficiency condition which relates the marginal utility of consumption of nondurable goods and services to the marginal utility of consumption of services from durable goods. Given this condition and the assumption that marginal utilities are affected by the level of public spending, a long-run relationship between components of private consumption and public expenditure is then postulated. The application of cointegration analysis to UK data supports the existence and uniqueness of such a long-run relationship, and estimates based on the error correction approach produce results which suggest that (i) a change in public spending has different effects on components of private consumption in the short-run, and (ii) the entire burden of long-run substitution falls on nondurable consumption.     

Assessing dynamics of crude oil import demand in Korea

Although Korea was the world's seventh largest oil consumer and fourth largest oil importer, relatively little attention has been paid to empirical analyses of the Korean crude oil market. In this paper, we have attempted to expand the scope of previous literature by examining Korea's import demand for crude oil in a dynamic framework of cointegration. The empirical focus is on assessing the short- and long-run relationships among volume of crude oil import, economic growth and price of imported crude oil in Korea. For this purpose, an autoregressive distributed lag (ARDL) approach is applied to quarterly data for 1986–2010. Results show that income level is a more powerful determinant of the long-run behavior of Korea's crude oil imports than crude oil price. In the short-run, on the other hand, oil price is found to play a more important role in determining crude oil imports than income level.     

Money demand stability: Evidence from Spain

Using several tests for structural stability in regressions with I(1) variables and for the existence of cointegration in models with regime shifts, the empirical evidence on the existence of a structural break in the Spanish long-run demand for broad money (ALP2) is analysed.The results indicate that shifts affecting the demand for ALP2 in recent years have substantially altered its long-run properties. As to the cause of this structural break, emphasis is placed on the role played by the increasing openness of the Spanish financial system to international markets as obstacles to free capital movements have progressively disappeared.This paper represents the views of the author and should not be interpreted as reflecting those of any institution. I am grateful to J. Ayuso, J. J. Dolado, F. Restoy and two anonymous referees for helpful comments. The data may be obtained from the internet, http://wotan.wiwi.hu-berlin.de/oekonometric/engl/data.html. This paper was written while the author was working at the Banco de España.