Despite a bourgeoning literature on the existence of a long-run relationship between energy consumption and economic growth, the findings have failed to establish clearly the direction of causation. A growing economy needs more energy, which is exacerbated by growing population. Evidence suggests that financial development can reduce overall energy consumption by achieving energy efficiency. Economic growth and energy consumption in Malaysia have been rising in tandem over the past several years. The three public policy objectives of Malaysia are: economic progress, population growth and financial development. It is of interest to the policymakers to understand the dynamic interrelation among the stated objectives. The paper implements Auto Regressive Distributed Lag (ARDL) approach to cointegration to examine the existence of a long-run relationship among the series: energy consumption, population, aggregate production, and financial development for Malaysia; and tests for Granger causality within the Vector Error Correction Model (VECM). The results suggest that energy consumption is influenced by economic growth and financial development, both in the short and the long-run, but the population-energy relation holds only in the long run. The findings have important policy implications for balancing economic growth vis-à-vis energy consumption for Malaysia, as well as other emerging nations.

Despite a bourgeoning literature on the existence of a long-run relationship between energy consumption and economic growth, the findings have failed to establish clearly the direction of causation. A growing economy needs more energy, which is exacerbated by growing population.

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PurposeThe purpose of this paper is to investigate the impact of financial development on the rural‐urban income inequality in India using annual data from 1965 to 2008.Design/methodology/approachThe Ng‐Perron unit root test is utilised to check for the order of integration of the variables. The long run relation is examined by implementing the ARDL bounds testing approach to cointegration.FindingsThe results confirm a relation among the variables. Evidence suggest that financial development, economic growth and consumer prices aggravate rural‐urban income inequality in the long run.Research limitations/implicationsThe present study offers fresh insights to policy makers on crafting appropriate policies that reduce rural‐urban income inequality in India.Originality/valueThe contribution of this paper is lies in extending the literature in the context of India towards an extensively researched area of rural‐urban divide but in time series framework and utilization of a better approach of time series approach, i.e. ARDL. Specifically, to the best of the authors' knowledge, this is the first empirical study to test poverty‐finance nexus using the basic principles of the GJ hypothesis and provide evidence of short‐ and long‐run dynamics on the postulated relation for India.

Abstract:The paper investigates the effect of real devaluation on economic growth. In the empirical model we also include other theoretically justified variables in the case of Pakistan, such as foreign remittances, money supply, and government spending. The paper implements the ADF method to test check the stationarity of the series; and the ARDL bounds testing approach to cointegration to establish a long run relationship. The findings affirm cointegration among the series. Real devaluation exerts contractionary effect on economic growth. The results from variance decomposition and impulse response-function show unidirectional causality from foreign remittances to economic growth; and bidirectional causality between money supply and foreign remittances. Furthermore, money supply Granger causes government spending; while devaluation Granger causes economic growth, albeit, weakly. The results should help in formulating a comprehensive trade policy including the use of competitive devaluation as a tool to correct balance of payments problems.

The objective of this study is twofold. (a) Construct the first ever financial development index (FDI) for Bangladesh using the principal component method (PCM). (b) Use the FDI to explore the existence of a long run relationship between FDI and economic growth. The Augmented Dickey Fuller and the Ng-Perron unit root tests have been applied to examine the stationarity properties of the series. To explore a long run relation, the Autoregressive Distributed Lag (ARDL) approach to cointegration; and to assess the stability of the parameters, the rolling window regression approach have been used. The results show that the impact of real interest rate (RIR) and FDI on economic growth is negative. Estimates from rolling window method show that FDI and RIR are negatively related to economic growth for the years 1987, respectively. The results may help policymakers formulate effective financial sector policies as a tool to promote economic growth in Bangladesh.

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to examine the relationship between import and economic growth for 62 countries. Design/methodology/approach -The paper applies autoregressive distributed lag model (ARDL) for long-run relation and Granger causality test, in order to detect the direction of short-run and long-run causal relationship. Findings -The results indicate that the long-run relationship exists in the USA, the UK,