1,721,038 research outputs found
The impacts of fossil fuel subsidy removal on Bangladesh economy
This paper investigates how the removal of fossil fuel subsidy affects the welfare of a small, oil-importing country like Bangladesh. In doing so, an energy augmented Dynamic Stochastic General Equilibrium (DSGE) model is developed. The model is calibrated and simulated for the Bangladesh economy under three scenarios, and the results reveal that a 10 per cent reduction in fossil fuel subsidy results in an overall increase in household welfare by 0.36 per cent. However, complete removal of fossil fuel subsidy would increase welfare by 1.89 per cent. The results also show that the subsidy removal schemes improve the country’s fiscal burden. We highlight the fact that fossil fuel subsidy acts as a barrier to the development of renewable energy technologies in Bangladesh which can play a significant role in promoting the country's future energy security. So, the paper suggests that the government should use the revenue earned from the fuel subsidy removal to offer incentives to new electricity generators who would enter in the market planning to produce electricity with renewable technology. Following a revenue-neutral subsidy scheme, the government should also encourage the existing electricity generators to adopt renewable technologies in generating electricity
Combining Private and Public Resources: Captive Power Plants and Electricity Sector Development in Bangladesh
The Role of Captive Power Plants in the Bangladesh Electricity Sector
Captive power plants (CPPs) in many emerging and developing countries play a significant
role in the electricity sector. This is mainly due to unreliable electricity supplies from state-owned utilities and challenges in accessing the national grid, especially in remote and rural
areas. Integrating the captive capacity with the on-grid supply can improve resource
utilization in the electricity market. In this study, we focus on the role of CPPs in Bangladesh. We start by providing recent stylized facts and survey the experience of other countries. We
then use a dynamic stochastic general equilibrium (DSGE) model to examine the effects of allowing CPPs to sell their excess output to the national grid at regulated prices. We find that opening the grid to CPPs would reduce the industrial output and GDP due to pre-existing energy price distortions. We also show that the Bangladesh economy would become more vulnerable to oil price shocks if CPPs were connected to the national grid. We conclude that the government should not open the grid to CPPs yet. Instead, it should first consider alternative reforms, such as taking steps to reduce the price distortions and enabling a competitive market environment
Captive power, market access and macroeconomic performance: Reforming the Bangladesh electricity sector
Integrating the captive capacity with the on-grid supply has been advocated as a way to improve resource utilization in the electricity market in developing and emerging countries. Despite many countries granting Captive Power Plants (CPPs) access to the grid, integration may still be hindered by other barriers to entry. In Bangladesh, CPPs are required to sell their electricity surplus, but there is no evidence of trading with the national grid, mostly due to high connectivity costs. In this paper we develop and estimate a fit-for-purpose Dynamic Stochastic General Equilibrium (DSGE) model to examine the effects of the Bangladeshi CPPs connecting to the national grid and selling their surplus at regulated prices. The model parameters are set through a combination of calibration and Bayesian estimation. We find that if CPPs are connected to the national grid, steady-state industrial output, GDP, and household consumption decrease due to pre-existing energy price distortions. These results support the second-best theory, which implies that merely connecting the CPPs to the national grid without firstly removing market distortions can lead to economically inefficient outcomes. Instead, government should first consider alternative reforms such as phasing out subsidized tariffs and enabling a competitive market environment
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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