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.     

Import demand in heterogeneous panel setting

To study the elasticities of import demand function, a heterogeneous panel is built with data of 40 countries and using panel unit root tests (Im et al., 1997) and panel cointegration tests (Pedroni, 2004). The model is tested with two previously used activity variables: GDP and GDP minus Export for a performance comparison. To estimate elasticities, use is made of two modified panel versions of FMOLS and DOLS developed by Pedroni (1996, 2000, 2001). The tests prove that GDP outperforms GDP minus Exports as an activity variable in the cointegration context. FMOLS and DOLS give close results when individual estimates are done. When between‐dimension estimators are used, conflicting results are obtained. Then, the sample is split into developed and developing countries and it is shown that income elasticity in developing countries are not different than unity on average and are higher than in developed countries contradicting previous literature results.     

On the Robustness of Robustness Checks of the Environmental Kuznets Curve Hypothesis

Since its first inception in the debate on the relationship between environment and growth in 1992, the Environmental Kuznets Curve hypothesis (EKC hereafter) has been subject of continuous and intense scrutiny. The most recent line of investigation criticizes the EKC hypothesis on more fundamental grounds, in that it stresses the lack of sufficient statistical testing of the empirical relationship and questions the very existence of the notion of EKC. Attention is in particular drawn on the stationarity properties of the series involved—per capita emissions or concentrations and per capita GDP—and, in case of presence of unit roots, on the cointegration property that must be present for the EKC to be a well-defined concept. Only at that point can the researcher ask whether the long-run relationship exhibits an inverted-U pattern. On the basis of panel integration and cointegration tests for sulfur, Stern (2004) and Perman and Stern (1999, 2003) have presented evidence and forcefully stated that the EKC hypothesis does not exist. In this paper we ask whether similar strong conclusions can be arrived at when carrying out tests of system fractional integration and cointegration. As an example we use the controversial case of carbon dioxide emissions. The results show that more EKCs come back into life relative to traditional integration/cointegration tests. However, we confirm that the EKC hypothesis remains a fragile concept.      

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.     

Foreign Direct Investment Inflows and Economic Growth: The Case of Korea

The current study examines the relationship between FDI inflows and economic growth of Korea and tests the Bhagwati hypothesis which says that FDI inflow is more beneficial to economic growth in an open trade regime in a multivariate framework. Unlike previous works on the concerned hypothesis, a small‐sample cointegration test is applied to the time‐series data. There is no evidence of cointegration among the variables. The Granger causality test results show that, although FDI inflows do not cause per capita real GDP, the latter is revealed to cause the former when the economic crisis dummy variable is included. There is a unidirectional short‐run causality from domestic investment to per capita real GDP growth rate. The case of Korea does not support the Bhagwati hypothesis.     

Do national soccer results really impact on the stock market?

This study is a response to Klein et al. (2008), which was highly critical of earlier work by Ashton et al. (2003). This work considering the link between international soccer results and stock market returns was challenged by Klein et al. (2008), who reject the presence and importance of this link. In response, this work provides a reassessment of the link between international soccer results and stock market returns within Ashton et al. (2003). This new analysis extends the original work by using a larger dataset, employing an extended range of tests and allowing for outliers. It is reported that, contrary to the findings of Klein et al. (2008), the link between international soccer results and stock market prices does indeed exist particularly within the sample period 1984–2002 used by Ashton et al. (2003). After extending the dataset to include observations from 2002 until 2009, it is reported that the effect on stock market returns has declined in importance over this period, particularly the impact of wins.     

Does More Consumption Promote Real GDP Growth?

This paper employs Hansen's (1999) panel threshold regression model [Journal of Econometrics 39 (1999) 345–68] based on a time series dataset of 109 countries from 1960 to 2007 to investigate the threshold relationship between the change in real GDP per capita and the consumption size (consumption‐income ratio, APC). The results show that the consumption level should not exceed the 49.68% threshold of real GDP per capita for each country regardless of the income level. Also, the relationship between the change in real GDP per capita and the consumption size seems to have ‘Armey curve’ or ‘inverted‐U shape’ characteristic. In order to promote real GDP growth, our results suggest that the high‐income, low‐APC countries should encourage more consumption while the low‐income, high‐APC countries should encourage more saving.     

Spatial externalities and regional income inequality: Evidence from China’s prefecture-level data

Based on panel data of 282 prefectures in China from 1999 to 2004; we explore the relationship between market potential, employment density and per capita GDP by using a dynamic panel data approach. It is found that the externalities arising from market potential and employment density have a positive and significant effect on local income. Moreover, both absolute and standardized elasticity of market potential externalities are pronounced, which suggests that market potential has a greater impact on regional disparity.     

Social security expenditure and GDP in OECD countries: A cointegrated panel analysis

Abstract

Using panel data unit root tests and panel cointegration tests, as well as estimation techniques appropriate for heterogeneous panels such as the full modified OLS, this paper re-examines the long-run co-movement and the causal relationship between GDP and social security expenditure in a bivariate model, employing data on 25 OECD countries from 1980 to 2001. Our cointegration test results show strong evidence in favour of the existence of a long-run equilibrium cointegrating relationship between GDP and social security expenditure after allowing for a heterogeneous country effect. Regarding the panel-based error correction model, we find that GDP and social security expenditure lack short-run causality, but reveal the existence of long-run bidirectional causality. This shows that, in the long run, economic growth must be based on a social welfare policy that should be carried out, and economic growth can facilitate contiguous development in a social welfare policy. Lastly, we also provide evidence to support that social security expenditure can affect growth through the savings and human capital accumulation in OECD countries.     

A panel data test for poverty traps

This article develops a threshold panel data nonlinearity test for poverty traps. The new testing strategy extends the work on nonlinearity tests for panel data by considering threshold nonlinearities in the fixed-effects components. Monte Carlo simulations are conducted to evaluate the finite-sample performance of these tests. The tests are applied to the relationship between Gross Domestic Product (GDP) per capita and capital stock per capita. Our application to a panel of countries for the period 1973 to 2007 uncovers the presence of two regimes determined by the level of capital stock per capita. The conclusions from our test also support the existence of a poverty trap determined by a capital stock per capita level at the 11% quantile of its pooled worldwide distribution.     

Terms of trade and economic growth in Japan and Korea: an empirical analysis

This study examines the impact of terms of trade and terms of trade volatility on economic growth in Japan and Korea using time series data. The results of the Johansen (1988) cointegration method show that real gross domestic product (GDP) per capita and terms of trade are jointly determined. Generally, an increase in terms of trade volatility will lead to a decrease in real GDP per capita. An increase in oil price will lead to a decrease in terms of trade. The results of the generalised forecast error variance decompositions show that the important contributors to real GDP per capita are different between Japan and Korea. A favourable and a less volatile terms of trade are important for economic growth.     

Do Malaysian house prices follow a random walk? Evidence from univariate and panel LM unit root tests with one and two structural breaks

In this article we apply univariate and panel Lagrange Multiplier (LM) unit root tests with one and twostructural breaks proposed by Lee and Strazicich (2003, 2004) and Im et al. (2005) to examine housing prices for five different housing price indices (all housing, detached housing, semi-detached housing, terrace housing and high-rise housing) in 14 states of Malaysia to test whether housing prices exhibit a random walk. Our main finding from the univariate LM unit root tests is that for the vast majority of states housing prices follow a stationary process about a segmented trend. The results of the panel LM unit root tests provide overwhelming evidence that house prices are segmented trend reverting.     

中国经济增长与环境污染关系的研究——基于环境库兹涅茨曲线的实证分析

基于环境库兹涅茨曲线理论的面板数据分析模型,并考虑了人口密度、环保政策、贸易开放度、技术进步、产业结构在内的其他因素对SO2排放量的影响,选取全国30个省、自治区、直辖市2004—2011年这8年的面板数据,对我国经济增长与环境污染指标SO2排放量之间的关系进行了实证研究。研究结果表明,与倒U型的环境库兹涅茨曲线不同,我国人均GDP与人均SO2排放量存在倒N型关系。并结合控制变量对环境作用的正负效应提出了有助于降低SO2排放量、改善环境质量的针对性的政策建议。     

Is health care really a luxury in OECD countries? Evidence from alternative price deflators

This article examines whether real Health-care Expenditure (HE) is a luxury or necessity for Organization for Economic Co-operation and Development (OECD) countries over the period 1972 to 2004 within a panel unit root and panel cointegration framework. To realize this objective, we regress HE on real Gross Domestic Product (GDP), the proportion of the population aged over 65 (P65) and a time trend (T). We first present results for 18 countries where real HE per capita is obtained using a general GDP deflator. For these countries, we find that health care is a luxury for just one country. Next, we present results for eight countries where real HE is obtained using a specific health-care price index. When the general GDP deflator is replaced with a specific health-care price index, at least one of the GDP, P65 or T coefficients for the eight countries changes in a reasonably dramatic fashion, suggesting that the use of the GDP deflator introduces bias into the regression. We find that HE is a necessity in all eight countries. Given that the reliability of the GDP deflator results is questionable, on the basis of the results for the eight countries, we conclude that HE is a necessity.     

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.     

Questioning the empirical basis of the environmental Kuznets curve for CO2: New evidence from a panel stationarity test robust to multiple breaks and cross-dependence

This paper investigates the time series properties of per capita CO₂ emissions and per capita GDP levels for a sample of 86 countries over the period 1960-2000. For that purpose, we employ a state-of-the-art panel stationarity test which incorporates multiple shifts in level and slope, thereby controlling for cross-sectional dependence through bootstrap methods. Our analysis renders clear-cut evidence that per capita GDP levels are nonstationary for the world as a whole while per capita CO₂ is found to be regime-wise trend stationary. The analysis of country-groups shows that for Africa and Asia, per capita CO₂ is best described as nonstationary, while per capita GDP appears stationary around a broken trend. In addition, we find evidence of regime-wise trend stationarity in both variables for the country-groups consisting of America, Europe and Oceania. The results of our analysis carry important implications for the statistical modelling of the Environmental Kuznets curve for CO₂, since the differing order of integration in both variables for the world as a whole and for Africa and Asia calls into question the validity of panel cointegration techniques which assume that both variables are nonstationary and cointegrated with one another. Cointegration techniques would not be appropriate either for the case of America, Europe and Oceania which are characterised by per capita GDP and CO₂ emissions being stationary around a broken trend. Similar conclusions are reached when we analyse country-groups based on levels of development. Failure to properly characterise the time series properties of the data by not controlling for an unknown number of structural breaks and for cross-sectional dependence could be responsible for the fragility and lack of robustness surrounding the estimation of environmental Kuznets curves.     

Macroeconomic Determinants of Crime: Evidence from India

This paper examines the relationship between crime, inflation, unemployment, and real GDP per capita in India. Based on the national-level data, the Johansen cointegration test confirms the presence of cointegration relationship between the variables. The Toda–Yamamoto Granger causality test suggests that macroeconomic indicators, especially unemployment, can significantly affect crime in India. Based on the state-level data, the ordinary least squares results corroborate the effect of inflation on crime even after controlling for governance. However, they fail to verify the relationship between crime, unemployment, and real GDP per capita.

     

The impact of the United States subsidies on world cotton price: evidence from ARDL bounds tests

This article investigates the impact of the United States subsidies on world cotton price in a structural framework. It starts with a simultaneous equations model of world cotton market, and then, it focuses on the reduced form. Using the Autoregressive Distributed Lag (ARDL) bounds tests of Pesaran et al. (2001), no evidence of cointegration is found between the underlying variables. This contrasts with results found in the classical framework, which highlight a strong evidence of a negative impact of subsidies on cotton price, either in the short or long run.     

Book Review

This paper analyses determinants of intra-industry trade in food processing for a 30-country sample over the period 1964–85. Previous studies have tested the hypothesis that imperfect competition is a major determinant of intra-industry trade (IIT) in the durable goods manufacturing sectors. This study is distinguised from the earlier studies of IIT by; the examination of the processed food sector (SIC=20), the use of a panel data set for 22 years and 30 countries available at the four-digit SIC level, the use of purchasing power parity measures of GDP, and the use of a weighted tobit model with fixed effects to account for the censored cross-section time-series nature of the date. The results indicate that ITI in food processing is a positive function of a country's GDP per capita and equality if GDP per capita between countries. In addition, it is also found that such trade is strongly influenced by distance between trading partners, membership in customs unions and free trade blocs, and also exchange rate volatility.     

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.