In this paper, an econometric model of consumption in Bulgaria for the period 1997-2005 is constructed. The Error-Correction Model (ECM) approach is employed and long-run relationship between household consumption and income was found. The primary purpose of this empirical paper is to get a better understanding of the factors driving household consumption in Bulgaria and to estimate a consumption function to be used for medium-term forecasting. It is shown that all households behave in a Keynesian way, basing their consumption decisions on current income.
Botswana’s electricity supply is overwhelmed by the growing energy demands with the peak electric power deficits being met through imports. This study seeks to understand the key drivers of this increasing electricity demand. Using the Autoregressive Distributed Lag (ARDL) bounds testing and Error Correction Model (ECM), it examines the role played by financial development, industrialisation and urbanization in Botswana’s energy (or more specifically electricity)-growth nexus between 1981 and 2011. The findings reveal that economic growth, financial development and industrialization positively affect electricity consumption in the short-run and long-run. However, urbanization increases electricity consumption only in the long-term. These finding not only support conservation hypothesis but also imply that policy-makers should take into account the increase in electricity demand arising from financial development, urbanization and industrialisation in energy (electricity) consumption planning in the economy to avoid energy crisis. In addition, policy-makers should search and invests in renewable energy sources such as solar to increase access to cheap energy source.
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