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The purpose of this paper is to identify whether any financial integration exists among ASEAN+5 members and some East Asian countries, including China, Japan, Korea, Hong Kong, and Taiwan, through interest rate, exchange rate, level of prices, and real output.

Therefore, the authors intend to identify any long-term relationship among these variables utilizing the data in the most efficient manner via panel cointegration and panel unit root tests. The study likewise uses a panel-based vector error correction (panel-vec) model for comparison and also short-run relationship analysis. The long-run relationship is estimated using dynamic ordinary least square technique and a panel multi-layer perceptron (MLP) neural network.

For the ten countries under consideration, the empirical result supports the long-run equilibrium relationship among real output, exchange rate, interest rate, and level of prices, and that the cointegration relationship implies unidirectional causality from exchange rate to real output. This result is favorable to a model that contains real output as a dependent variable and exchange rate, interest rate, and level of prices as explanatory variables. Panel-vec results indicate no evidence of short-run causality from exchange rate to real output. Furthermore, the comparison result of long-run equation estimation shows the superiority of neural networks over econometric models.

This paper adds to the literature by examining the financial cointegration using a panel model that contains real exchange rate, interest rate, real output, and inflation rate in ASEAN+5. Additionally this paper applied the MLP neural network to yield a robust estimation of the long-run equation obtained among the variables.

The purpose of this paper is to explore the relationship between energy consumption and economic growth for Brazil, Russia, China, India, South Africa and Turkey (BRICS-T) countries. In this context, this study investigates energy consumption and real output in BRICS-T countries through panel cointegration.

The data include energy consumption and real output for BRICS-T countries and period of 1990–2014. The variables are transformed into natural logarithm. To analyze these data, this study employed Pedroni cointegration test, the second-generation panel cointegration test, Westerlund and Edgerton (2008) test and FMOLS test.

Results indicate that there is a bi-directional causality relationship between energy consumption and economic growth for BRICS-T countries. An increase in GDP leads to an increase in energy consumption and an increase in energy consumption leads to an increase in GDP.

This study used data that include the period of 1990–2014 for BRICS-T countries. So, further studies can use different periods of data or different countries.

This study provides important evidence that countries with strong growth performance need to follow bi-directional energy policies to increase both energy investments and ensure energy savings.

This study aims to analyze the presence of a long-term relationship between precious metal prices, such as for gold, silver, platinum and palladium, and Islamic stock markets of 32 different countries – 21 developed and 11 developing. In this study, the long-term relationship between the precious metal prices and the Islamic stock markets of countries grouped by the Morgan Stanley Capital Index (MSCI) according to their level of development was examined. In the economies included in the study, it is necessary that the Islamic stock index be created by MSCI. It is not a constraint as a Muslim country.

This study used the Pedroni panel cointegration analysis and full modified ordinary least square method. All analyses in this study were performed using monthly data from 2002 to 2015.

According to the Pedroni panel cointegration analysis applied in this study, all four precious metals – gold, silver, platinum and palladium – are effective portfolio diversification tools for developed Islamic stock markets within the analyzed period. However, in developing countries, although gold and palladium are effective portfolio diversification tools, silver and platinum are not.

These results provide practical implications for academicians, practitioners as portfolio managers, policymakers. These implications are related in portfolio risk management, the diversification benefits and to propose new investment tools among developed and developing Islamic markets.

This study is important for investors who assemble portfolios under the restriction of selecting investment tools suitable for Islamic rules. These investors are important in terms of using precious metals that they prefer as an alternative to stock markets to protect against the risks related to their suitable portfolio options. Governments, individuals and institutional investors that use capital stock according to Islamic rules in developed countries can effectively use gold, silver, platinum and palladium as hedging tools. However, this choice is limited to only gold and palladium in developing country markets. Gold continues to be an effective diversification tool in Islamic share markets, as in traditional stock markets.

The author would like to emphasize that this article is second to examine precious metals and Islamic stock markets in literature.

Textile, listed as one of the highly environmentally sensitive goods, its trade is susceptible to be influenced by the implementation of stringent environmental policies. This paper aims to investigate the long-run relationship between revealed comparative advantage (RCA) and Environmental Policy Stringency Index (EPSI) for textile exports of G20 countries in panel data setup.

Apart from trend analysis, the authors have employed Pedroni and Westerlund panel cointegration method and fully modified ordinary least square (FMOLS) method to study the long-run relationship between RCA and EPSI in presence of cross-sectional dependence.

A strong link between trade and environmental stringency is observed for textile in the present study. For G20 countries, slight evidence of the Pollution Haven Hypothesis has also been witnessed in the study. Correspondingly, the results reveal the presence of long-run association between the variables under study, implying that stringent environmental policies reduce RCA for some countries, whereas some countries witness the Porter hypothesis.

The results imply that policy formulation should not aim at limiting the efforts of connecting RCA to environmental stringency but to set trade policies in a wider framework, considering environmental concerns, as these are inseparable subjects. However, this study also provides relevant real-world implications that can support further research.

The present study has important implications for textile exporters such as green innovations. The Porter hypothesis can be a beneficial tool for G20 exporters in enhancing their export performance, especially for the ones dealing in environmentally sensitive goods. This study offers relevant policy implications and provides directions for future research on global trade and environment nexus.

This study deals in a debatable area of research that evaluates the interlinkages between environmental stringency and global trade flows in the G20 countries. An important observation of the study is the asymmetrical nature of policy stringency across different countries and its impact on trade. The unavailability of updated data is the limitation of the present study.

This paper seeks to use empirical evidence to examine the role of Islamic banks' financing on economic performance of selected countries (Malaysia, Indonesia, Bahrain, UAE, Saudi Arabia, Egypt, Kuwait, Qatar and Yemen).

Using quarterly data (2000:1‐2010:4), this paper utilizes the panel cointegration approach models framework.

The results generally signify that, in the long run, Islamic banks' financing is positive and significantly correlated with economic growth and capital accumulation in these countries. The results obtained from the Granger causality test reveal a positive and statistically significant relationship between economic growth and Islamic banks' financing in the short run and in the long run. It also found that the long run relationship is stronger than the short run relationship.

This paper uses empirical evidence to show the effect of Islamic banks' financing on economic growth of selected Islamic countries. To the best of the authors' knowledge, most of the studies in this field have applied the bound testing approach of cointegration, error correction models (ECMs), Auto Regressive Distributed lag (ARDL) and Vector Autoregressive Model (VAR), and the coefficients obtained by these models cannot be deemed as a general finding applicable for other countries. The superiority of this article is in applying the FMOLS model, which has stable and consistent coefficients and is also a dynamic model.

Provides the first empirical time series analysis of commercial mortgage‐backed securities (CMBS) prices using a proprietary data set of 15 senior tranche securities. Postulates and tests the hypothesis that nonstationary CMBS and corporate bond prices are cointegrated since CMBS are priced analogous to corporate bonds. States that given the emerging status of the CMBS market, price data is limited to less than three years. To overcome the low power of unit root and cointegration methodology for short data sets, appeals to the concept of cointegration in heterogeneous panels advanced by Pedroni (1995). Claims the presence of cointegration between CMBS and corporate bond prices confirms that the stationary first difference in CMBS and corporate bond prices must be modelled in an error correction framework (ECM). Further states the sensitivity of CMBS price changes to changes in the default probability, proxied by the market value of loans to property value, is tested in a simple first order approximation ECM framework. The results suggest that senior tranche CMBS which comprise no more than 70 per cent are immune to the risk from default loss and supports the predictions in Childs et al. (1996).

The purpose of this paper is to re‐examine the long‐run co‐movement and causal relationship between GDP and social security expenditures.

The paper uses panel data unit root tests and panel cointegration tests, as well as estimation techniques appropriate for heterogeneous panels such as fully modified OLS. Data are employed on 12 Asian countries from 1972 to 2000.

The cointegration test results show strong evidence in favor of the existence of a long‐run equilibrium cointegrating relationship between GDP, capital stock and social security expenditures after allowing for heterogeneous country effects. Regarding the panel‐based error correction model and the Granger causality test, there are long‐run, bi‐directional causal linkages between social security expenditures and economic growth. In addition to the robust test, they display similar results.

The paper shows that in every moment, economic growth must be based in the social welfare policy contiguously, and the economic growth process can allow the social welfare policy to proceed contiguously

Within an effort of European Union (EU) policy to achieve carbon-neutral agriculture, the present study intends to explore the impact of carbon emissions generated by different sources related to agriculture namely energy used in farming, by enteric fermentation and by fertilizers on agricultural income in 25 countries from EU.

In order to evaluate the environmental – economic performance linkage for EU agriculture, we employ a couple of different widely used panel unit root tests explicitly Levin, Li and Chu, Im, Pesaran and Shin, ADF and PP Fisher Chi-square test cointegration test (Pedroni and Kao cointegration tests) and model estimation methodologies namely the FMOLS and DOLS and ARDL – PMG models.

All the cointegration techniques employed namely Pedroni, Kao test and Johansen Pesaran cointegration tests validate the existence of long run relationships. The most significant finding is the model estimation based on three different methodologies namely FMOLS, DOLS and ARDL/PMG models. No convergence in the results was found by different estimation models. For the short term coefficients and more specifically for the case of carbon emissions generated by energy the impact on agricultural income seems to be decreasing with a decreasing trend, a result that validates the little effort made by farmers to limit carbon emissions along with the limited efficacy of the implementing policy. The same findings are valid for the first two estimation models while for the case of the third model the reversed relationship is validated. For the carbon emissions generated by enteric fermentation, the inverted-U pattern is validated with DOLS and ARDL/PMG model while for the case of fertilizers only the third model confirms the validity of inverted-U- pattern.

Based on the obtained empirical results, a list of policy implications is unveiled with multiple impacts on the strategy and practices adopted by farmers in order for the objective of eco efficieny to be achieved.

The conducted research is focusing on the environmental – economic performance linkages for EU agriculture and examines the role of agri – environmental policy in the evolution of the particular relationship for different sources of environmental pollution in agricultural activity.

The development of green economy is of academic and policy importance to governments and policymakers worldwide. In the light of the necessity of renewable energy to sustain green economic growth, this study aims to examine the relationship between renewable energy consumption and green economic growth, controlling for the impact of trade openness for Organization for Economic Co-operation and Development countries over the period 1990-2015, within a multivariate panel data framework.

To investigate the long-run relationship between variables, panel cointegration tests are performed. Panel Granger causality based on vector error correction models is adopted to understand the short- and long-run dynamics of the data. Furthermore, ordinary least square (OLS), dynamic OLS and fully modified OLS methods are used to confirm the long-run elasticity of green growth for renewable energy consumption and trade openness. Moreover, system generalized method of moment is applied to eliminate serial correlation, heteroscedasticity and endogeneity problems. The authors used the panel Granger causality test developed by Dumitrescu and Hurlin (2012) to infer the directionality of the causal relationship, allowing for both the cross-sectional dependence and heterogeneity.

The results suggest that renewable energy consumption and trade openness exert positive effects on green economic growth. The results of long-run estimates of green economic growth reveal that the long-run elasticity of green economic growth for trade openness is much greater than for renewable energy consumption. The estimated results of the Dumitrescu and Hurlin (2012) test reveal bidirectional causality between green economic growth and renewable energy consumption, providing support for the feedback hypothesis.

This paper provides strong evidence of the contribution of renewable energy consumption on green economy for a wide range of countries. Despite the costs of establishing renewable energy facilities, it is evident that these facilities contribute to the green growth of an economy. Governments and public authorities should promote the consumption of renewable energy and should have a support policy to promote an active renewable energy market. Furthermore, the regulators must constitute an efficient regulatory framework to favor the renewable energy consumption.

Many countries focus on increasing their GDP without taking the environmental impacts of the growth process into account. This paper shows that renewable energy consumption points to the fact that countries can still increase their economic growth with minimal damage to environment. Despite the costs of adopting renewable energy technologies, there is still room for economic growth.

This paper provides evidence on the contribution of renewable energy consumption on green economic growth for a wide range of countries. The paper focuses on the impact of renewable energy on economic growth by taking environmental degradation into consideration on a wide scale of countries.