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Sukuk is one of the investment instruments that attract Muslim investors who want to invest in accordance with sharia principles. The demand for sukuk is relatively high every time a sukuk is issued. The study aims to examine the factors influencing the demand of retail sukuk issued by government. Independent variables consist of sukuk price, BI rate, inflation rate and rate of return of Mudharaba investment accounts. Retail sukuk SR-005 is choosen as dependent variable because of the highest average investment per investor during ten years of retail sukuk issuance. The data is taken from February 2013 to February 2016 and analysed using panel data regression. The results indicate that BI rate has negative influence on the demand of retail sukuk SR-005 while sukuk price, inflation rate and rate of return of mudharaba investment accounts do not influence the demand of retail sukuk SR-005. This study is expected to contribute to the scientific development of Islamic finance, especially the study of sukuk.

Weather risk and incomplete insurance markets are significant contributors to poverty for rural households in developing countries. Weather index insurance has emerged as a possible tool for overcoming these challenges. This paper provides evidence on the impact of weather index insurance from a pioneering, large-scale insurance program in Mexico. The focus of this analysis is on the ex-post effects of insurance payments. A regression discontinuity design provides find evidence that payments from weather index insurance allow farmers to cultivate a larger land area in the season following a weather shock. Households in municipalities receiving payment also appear to have larger per capita expenditures and income in the subsequent year, although there is suggestive evidence that some of this increase is offset by a decrease in remittances. While the cost of insurance appears to be high relative to the payouts, the benefits exceed the costs for a substantial range of outcomes.

This paper studies the possibility of using financial regulation that prohibits the use of money substitutes as a tool for mitigating the adverse effects of deviations from the Friedman rule. When inflation is not too high regulation aimed at eliminating money substitutes improves welfare by economizing on transaction costs. The gains from regulation depend on the distribution of income and the level of direct taxation. The area under the demand for money curve is equal to the welfare cost of inflation only when there are no direct taxes and no proportional intermediation cost: otherwise, the area under the demand curve overstates the welfare cost of inflation when money substitutes are not important and understates the welfare cost when money substitutes are important.

Evidence illustrates that investment in infrastructure is essential to accelerate inclusive growth. Indeed, a number of Sub-Saharan African (SSA) countries have begun to devote greater resources to large-scale public investment projects. Nevertheless, while massive projects can potentially generate large benefits there are considerable risks. Cost overruns, poor implementation quality, inadequate operational and maintenance capacity, and negative social or environmental impacts can severely undercut a project’s anticipated social and economic returns. Moreover, projects, which are expensive to develop and maintain can impact on debt dynamics and in some cases macroeconomic stability. Yet, given the complex nature of such projects it is often difficult to ascertain whether it is worthwhile to proceed with a project and if so, how should it be financed and implemented. Historically, computable general equilibrium (CGE) models have been used to assess the prospective impacts of large public investment projects. However, such models are a complex and time-consuming process and are often too broad to precisely capture the localized impact of specific projects. This paper proposes a simple, but more user-friendly model. By inputting information on the project’s construction, operation, and anticipated returns, the user is able to assess the project’s net impact on the economy and weigh up the costs and benefits of different approaches. The model was developed in response to a request from the Nigerien authorities to assess the macroeconomic impact of Niger’s Kandaji Dam project. It found that while costs would equal more than 10 percent of 2013 GDP during 2014-48, the expansion of domestic production spurred by increased demand during the construction phase will increase GDP by 0.25 percent above the baseline projection and boost fiscal revenues by an additional 0.45 percentage points of GDP.

Subsidies and cross-subsidies in the energy sector are common throughout Eastern Europe and Central Asia. In Belarus, revenues from an industrial tariff on electricity are used to cross-subsidize heating for households. Input-output (IO) data and a household consumption survey are used to analyze the distributional impacts of this cross-subsidization. This paper illustrates cost shares and electricity-intensity of different sectors and consumption categories and uses the IO data to obtain first-order estimates of the distributional incidence of policy reform. The paper then analyzes distributional impacts of subsidy reform with a Computable General Equilibrium model. Although poorer households benefit from reduced heating costs, the increase in prices of other consumer goods due to higher electricity prices more than offsets the benefits they receive from the subsidies. The analysis finds that the current cross-subsidies are regressive, and policy reform would be highly progressive.