The main objective of this paper is to investigate the impact of lending rate on economic growth in Ghana. To do this, we employ the autoregressive distributed lags model (ARDL) and the Toda and Yamamoto (1995) causal approach as estimation strategy. The estimates from the ARDL model suggest that ceteris paribus one percent increase in lending rate generates approximately 0.15 decrease in economic growth of Ghana in the long. In the short run, one percent increase in lending rate also generates approximately 0.112 percent decrease in economic growth. Contrary to the widespread belief that lending rate induce economic growth, we find that gross domestic product rather spurs lending rate, using Toda and Yamamoto (1995) causal approach. Our findings suggest that monetary authorities should embark on policy interventions that aim at taming lending rate towards growth enhancing targets. This will encourage individuals, firms and other institutions to borrow from commercial banks to increase investment and consumption to accelerate economic growth. Other policy interventions include strengthening inflation targeting policy to reduce and stabilize inflation while taming exchange rate, monetary policy and treasury bill rate towards economic growth enhancing targets.

Despite the growing literature on the causal association between electricity supply and economic growth, little is known about the causal linkage between electricity transmission and distributional losses and economic growth, particularly in Ghana. The paper studies the causal association between electricity transmission, distributional losses and economic growth in Ghana. Further, we interacted ETDL with electricity price to examine their combined impact on Ghana's gross domestic product. We utilised time series data from the period 1971 to 2014. Given that our data span is relatively shorter, we utilised the Toda and Yamamoto and Autoregressive distributed lag model (ARDL) methods. This is so because these time series approaches can produce efficient, reliable and eliminate spurious regression estimates even if the sample size is relatively short. Our ARDL estimates suggest that ETDL exert an adverse impact on economic growth while the Toda and Yamamoto estimates suggest that economic growth has a strong influence on ETDL and not the other way round, supporting the growth‐led energy hypothesis. Also, the interactive effect of ETDL and electricity prices on economic growth was negative and statistically significant.