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.