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A disaggregated analysis of monetary policy effects on the agricultural sector in Nigeria
47-58Views:416This study provides a disaggregated analysis of the effects of monetary policy shocks on the agricultural sector in Nigeria from 1981Q1 to 2016Q4. The study utilized the generalized impulse responses and the normalized generalized forecast error variance decompositions from an underlying VAR model, which are order-invariant. The four monetary policy variables used in the study are interbank call rate, monetary policy rate, broad money supply and exchange rate; while the four agricultural sub-sectors investigated are crop production, forestry, fishing and livestock. The study also controlled for the general price level and other economic activities in the overall economy. The findings indicate that the aggregate agricultural sector and its various sub-sectors consistently responded negatively to unanticipated monetary tightening in most of the forecast horizon; while the immediate impact of monetary policy shocks is transmitted to the agricultural sector through the interest rate and money demand (credit) channels. The findings further indicate that apart from these two channels, the roles of monetary policy rate and exchange rate are non-negligible in the long-run. The role of money supply channel in spreading monetary policy shocks to the agricultural sector remained muted all through. The study concludes that the monetary authority should evolve interest rate, credit, and exchange rate policies that will promote the development of the agricultural sector in Nigeria.
JEL CODES: E52; N50; C22; N57
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The most relevant factors and trends in energy cooperation between Kazakhstan and China, focused on renewable energy sources (RES)
Views:541This paper analyses the good political and legal environments, mutually beneficial strategic policy, along with level of economic development and growth, superior geographical conditions and cultural integration degree of the important effecting factors of the energy cooperation between Kazakhstan and China. By using the main points listed above this article refers to related trade and investment theories, and it’s divided into two aspects: Kazakhstan's export of Chinese energy products with time series data 1998-2014 and China's investment in Kazakhstan's energy sector with time series data 1998-2016 to construct the vector autoregressive model (VAR).We selected relevant variables and data to construct an econometric model from the perspectives of trade and investment to make an empirical analysis on the influencing factors of energy cooperation between Kazakhstan and China. Our results show that China's demand for large-scale market and for opening to the outside world as well as Kazakhstan’s great energy potential are the most important factors their cooperation. It can be stated that in our days Kazakh legislation is suitable for promoting the Chinese energy investments, but in the long run it would be beneficial to mobilize national capital especially in RES investments and research. In the end, we found the most important reserves in competitiveness of electricity and heat (both from fossil and renewable energy sources) are power grid consolidation and waste heat utilization in the short run.
JEL CODE: F14; Q43