Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data

This paper applies the most recently developed panel unit root, heterogeneous panel cointegration and panel-based error correction models to re-investigate co-movement and the causal relationship between energy consumption and real GDP within a multivariate framework that includes capital stock and labor input for 16 Asian countries during the 1971–2002 period. It employs the production side model (aggregate production function). The empirical results fully support a positive long-run cointegrated relationship between real GDP and energy consumption when the heterogeneous country effect is taken into account. It is found that although economic growth and energy consumption lack short-run causality, there is long-run unidirectional causality running from energy consumption to economic growth. This means that reducing energy consumption does not adversely affect GDP in the short-run but would in the long-run; thus, these countries should adopt a more vigorous energy policy. Furthermore, we broaden the investigation by dividing the sample countries into two cross-regional groups, namely the APEC and ASEAN groups, and even more important results and implications emerge.     

New panel results on cointegration of international health expenditure and GDP

This article tests for existence of cointegration between health expenditure and GDP using data from 25 OECD countries for the period 19607ndash;1997. The empirical modelling is based on a heterogeneous bivariate vector error correction panel model that allows for trending data as well as intercepts and trends in the cointegrating relations. Univariate country-by-country and panel unit root tests generally fail to reject the null of a unit root in the health expenditure and GDP variables. Country-by-country results based on the Johansen multivariate likelihood-based inference indicate somewhat mixed results on country-specific cointegration with a rank of one found for 12 countries and a rank of zero for the remaining 13 countries. Application of a new panel test for cointegration rank with higher power than the individual tests indicates that health expenditure and GDP are cointegrated around linear trends.     

Is social protection a necessity or a luxury good? New multivariate cointegration panel data results

The aim of this paper is to test the claim that social protection is a luxury good. Therefore, GDP elasticity of selected social protection expenditure is estimated using a new econometric approach developed first by Kao and Chiang (Advances in Econometrics, 15, 179–222, 2000). Time series properties of selected social expenditure in 18 OECD countries from 1981 to 1998 are examined. Using panel data cointegration tests and OLS, FMOLS and DOLS estimators, results were found which differ from previous analyses reporting substantially higher income elasticities. With the FMOLS, selected social expenditure has income elasticities smaller than one but greater than one with the DOLS. It is noteworthy that whether selected social expenditure is stationary or nonstationary may have critical implications for researchers and policy makers desiring to model and explain the impact of this expenditure on a country economic system.     

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.     

Productivity growth and inflation in Europe: Evidence from panel cointegration tests

In this paper we investigate the productivity growth – inflation nexus in fifteen European countries over the period 1961–1999 using panel unit root and panel cointegration tests. Emphasis is placed on the distinction between long-run and short-run causality using recently developed tests appropriate for heterogeneous panel. The empirical results are relevant for the role of the EMU and the Treaty of Maastricht in catching up, real convergence, and the future growth prospects of Europe. The policy implications of the findings are discussed in detail.     

Unit root and cointegration tests: timeseries versus panel estimates for international health expenditure models

Classical regression estimates of the determinants of the OECD health expenditures are useful for policy formulation and evaluation. However, if the underlying timeseries data are not collectively stationary in levels, the estimated parameters are faulty and can misguide health policy. Until very recently, the crucial stationarity tests were ignored in a large number of studies on international comparisons. Stationarity (ADF, Phillips-Perron, IPS heterogeneous panel) and cointegration (Engle-Granger bivariate, Johansen's multivariate) tests are conducted here using 1960–1997 health expenditures data (1998 CD ROM) of 19 OECD countries. It is found that extending the time series data length affects the order of integration and number of cointegrating vectors. However, it is arguable whether the order of integration decreases or increases as more observations are added for testing. The failure of the Johansen and Engle-Granger cointegration tests for most of the OECD countries cautions policy makers against reliance on earlier research findings that were based on unstable relationships among variables in the regression models. (This is not the case for the UK, Greece and Ireland; policy implications have been derived for the UK.) Consequently, data calibrated in growth rates may be more appropriate for investigating the long run relationships collectively in a panel of OECD health expenditure model specifications.     

Health care expenditure and income in the OECD reconsidered: Evidence from panel data

This paper reconsiders the long-run economic relationship between health care expenditure and income using a panel of 20 OECD countries observed over the period 1971–2004. In particular, the paper studies the non-stationarity and cointegration properties between health care spending and income. This is done in a panel data context controlling for both cross-section dependence and unobserved heterogeneity. Cross-section dependence is modelled through a common factor model and through spatial dependence. Heterogeneity is handled through fixed effects in a panel homogeneous model and through a panel heterogeneous model. Our findings suggest that health care is a necessity rather than a luxury, with an elasticity much smaller than that estimated in previous studies.     

Economic growth and carbon emissions: evidence from CIVETS countries

ABSTRACT

This paper examines whether a long-run relationship exists between CO₂ emissions and selected variables: real gross domestic product per capita, inward stock of foreign direct investments, gross fixed capital formation, industry, value added and energy use per capita for Colombia, Indonesia, Viet Nam, Egypt, Turkey and South Africa countries in the period of 1989–2016. We used panel unit root testing, followed by panel cointegration tests and panel causality. The results clearly prove the existence of a bidirectional long-run causal relationship between all the variables except between CO₂ emissions and GDP and CO₂ emissions and GFCF. Major finding of the short-run causality analysis is that CO₂ emission in the short run does not result in changes of other variables. On the other hand, all variables except foreign direct investments (FDI) cause the changes in the CO₂ emissions, and there is a positive bidirectional causal relationship between GDP and FDI, between GFCF and FDI, and between GFCF and IVA. Finally, positive unidirectional causal relationship also exists, running from GDP to IVA, GDP to ENUSE, IVA to FDI and ENUSE to FDI.     

Export-led Growth in South Asia: A Panel Cointegration Analysis

Abstract

In this paper, we attempt to examine the export-led and manufacturing export-led growth hypothesis for four South Asian Countries; namely, India, Pakistan, Bangladesh and Sri Lanka, using Pedroni’s panel cointegration technique for the period 1980–2002. In this context we estimate growth accounting equations to investigate the impact of exports, manufacturing exports and other important physical and human capital variables on both total GDP and non-export GDP. The study finds long-run equilibrium relationship between GDP (and non-export GDP) and exports along with other variables supporting export-led growth hypothesis. The results also substantiate the existence of manufacturing export-led growth hypothesis. Further, we find that export, fixed capital formation, public expenditure on health and education have statistically significant coefficients re-emphasizing the importance of these variables for higher economic growth.     

How strong is the causal relationship between globalization and energy consumption in developed economies? A country-specific time-series and panel analysis

We examine the causal relationship between globalization, economic growth and energy consumption for 25 developed economies using both time series and panel data techniques for the period 1970–2014. Due to the presence of cross-sectional dependence in the panel (countries from Asia, North America, Western Europe and Oceania), we employ the cross-sectional augmented IPS test to ascertain unit root properties. The cointegration test results indicate the presence of a long-run association between globalization, economic growth and energy consumption. Long-run heterogeneous panel elasticities are estimated through the common correlated effects mean group estimator and the augmented mean group estimator. The empirical results reveal that, for most countries, globalization increases energy consumption. In the USA and UK, globalization is negatively correlated with energy consumption. The causality analysis indicates the presence of the globalization-driven energy consumption hypothesis. This empirical analysis suggests insightful policy guidelines for policy makers using globalization as an economic tool to utilize energy efficiently for sustainable economic development in the long run.     

Democracy and economic growth in Sub-Saharan Africa: a panel data approach

This paper studies the link between democracy and economic development for 28 countries of Sub-Saharan Africa for the period 1980–2005 in a panel data framework. A democracy index constructed from the Freedom House indices. A variety of panel data unit root and cointegration tests are applied. The variables are found to be integrated of order one and cointegrated. The Blundell–Bond system generalized methods-of-moments is employed to conduct a panel error-correction mechanism based causality test within a vector autoregressive structure. Economic growth is found to cause democracy in the short-run, while bidirectionality is uncovered in the long-run. In addition, the long-run coefficients are estimated through the panel fully modified ordinary least squares and dynamic ordinary least squares methods. Democracy has a positive impact on GDP and vice versa. These results lend support to the virtuous cycle hypothesis.     

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.     

Relationship between trade openness and economic growth in Latin America: A causality analysis with heterogeneous panel data

We empirically analyze the causality relationship between economic growth and international trade using new advancements in the econometric methodology for heterogeneous panel data applied to Latin American countries. First, we test for dependencies between the units of cross‐section (countries) and then we test for cointegration between growth and openness. Finally, we test for Granger causality using a heterogeneous panel data test. The results reject the hypothesis of general, unidirectional, and homogeneous relationship between trade openness and economic growth in Latin American countries as a group. However, considering heterogeneity, we found significant evidence of causality from trade liberalization to economic growth in Chile, Peru, Nicaragua, and Uruguay; we have found bidirectional causality in Mexico and Honduras; and a causal relationship from economic growth to trade liberalization in Colombia, Costa Rica, Guatemala, and the Dominican Republic.     

The energy-GDP nexus: Evidence from a panel of Pacific Island countries

The Pacific Island countries are small island economies that are increasingly dependent on energy for growth and development, yet highly susceptible to climate change. Thus, the relationship between energy consumption and GDP is crucial for realizing their future development and growth objectives. This article tests for Granger causality and provides long-run structural estimates for the relationship between energy consumption, GDP and urbanization for a panel of Pacific Island countries. For the panel as a whole in the long-run there is bidirectional Granger causality between energy consumption and GDP and these variables exert a positive impact on each other. A 1% increase in energy consumption increases GDP by 0.11%, while a 1% increase in GDP increases energy consumption by 0.23%. The findings suggest that for the panel as a whole these countries should increase investment in energy infrastructure and regulatory reform of energy infrastructure to improve delivery efficiency, continue to promote alternative energy sources and put in place energy conservation policies to reduce unnecessary wastage. These strategies seek to realize the dual objectives of reducing the adverse effects of energy use on the environment, while avoiding the negative effect on economic growth of reducing energy consumption.     

Correlates of economic growth in developing countries: a panel cointegration approach

The inflow of foreign direct investment (FDI) has been found to play a crucial role in the economic growth of receiving countries. Using panel cointegration techniques, this perception was found to be mitigated by an empirical approach that yields different results from previous studies. While the growth in real FDI has an influence on real GDP growth across developing countries in the short-run, year-to-year periods, it does not explain real GDP in the long-run. Rather, it appears to be the economic factors internal to a country that have the most influence on real GDP over time: human capital (measured by literacy rates), export trade, and monetary and fiscal policy.     

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.     

Foreign direct investment,tax competition and social expenditure

The aim of this paper is to make a first step towards studying the role of social expenditure and its interaction with corporate taxation in determining the destination of foreign direct investment (FDI) flows. Using panel data for 18 OECD countries and measuring the extent of social welfare policies by the (public social expenditure)/GDP ratio, we find strong support for the conjecture that redistributive social welfare state policies are valued by multinationals as, for instance, they may signal a government's commitment to social stability.     

A further examination of the export-led growth hypothesis

This article challenges the common view that exports generally contribute more to GDP growth than a pure change in export volume, as the export-led growth hypothesis predicts. Applying panel cointegration techniques to a production function with non-export GDP as the dependent variable, we find for a sample of 45 developing countries that: (i) exports have a positive short-run effect on non-export GDP and vice versa (short-run bidirectional causality), (ii) the long-run effect of exports on non-export output, however, is negative on average, but (iii) there are large differences in the long-run effect of exports on non-export GDP across countries. Cross-sectional regressions indicate that these cross-country differences in the long-run effect of exports on non-export GDP are significantly negatively related to cross-country differences in primary export dependence and business and labor market regulation. In contrast, there is no significant association between the growth effect of exports and the capacity of a country to absorb new knowledge.     

Savings and investments in the OECD: a panel cointegration study with a new bootstrap test

In this paper we test for the existence of a stable long-run savings–investments relationship in 18 OECD economies over the period 1970–2007. Although individual modelling provides only very weak support to the hypothesis of a link between savings and investments, this cannot be ruled out as individual time series tests may have low power. We thus construct a new bootstrap test for panel cointegration robust to short- and long-run dependence across units. This test provides evidence of a long-run savings–investments relationship in most of the countries, with USA the most notable exception. However, the elasticities generally smaller than 1 suggest that market imperfections mostly cause only partial home biases.     

Insurance development,banking activities,and regional output: evidence from China

This paper applies panel cointegration tests and panel vector error correction models to investigate the interrelationship among the banking sector, insurance market, and regional output based on the samples from 25 Chinese provinces. We first find that there is a fairly strong long-run cointegrating relationship among real GDP, banking credit, and real insurance premiums. Second, both insurance markets (life and non-life) and the banking sector have a positive effect on real output. Third, we determine that banking activities and economic growth exhibit long-run and short-run bidirectional causalities. Fourth, there is fairly strong evidence in favor of the hypothesis for the long-run bidirectional causal relationships between insurance premiums and economic growth, taking into account the critical channel of the banking sector. Finally, we provide some beneficial suggestions for investors and policy-makers.