The Impact of Financial Risks on Financial Investment in Infrastructure: Based on a Two-Factor Stochastic Differential Equation

Financial risks, such as inflation and interest rate changes, significantly affect the costs and benefits of infrastructure projects. Nevertheless, there is a dearth of research concerning financial investment (government subsidies) for infrastructure projects in the context of inflation and interest rate changes. Accordingly, this study builds a stochastic differential equation model based on inflation rate and interest rate, through which the expression of government subsidies in public-private partnership is optimised. Specifically, the Monte Carlo simulation was used to undertake a calculation of the present value of operating loss subsidy and risk-sharing subsidy for the N City Metro Line 3. Subsequently, the effect of inflation, nominal interest rates, interest rate volatility, as well as inflation volatility, on the present value of operating loss subsidies was investigated. It was established that the dynamic random discount rate based on inflation rate and interest rate may effectively simulate the effect of inflation rate and interest rate changes on project operating loss. Moreover, it is feasible to calculate the present value of the risk-adjusted operating loss subsidy and the present value of the risk-sharing subsidy. Inflation rate, inflation volatility, and interest rate volatility are positively correlated with the present value of operating loss subsidies, whereas the interest rate is negatively correlated with the present value of inflation-adjusted operating loss subsidies. Inflation volatility has the greatest effect on the present value of subsidies, followed by interest rate volatility and inflation rate. Ultimately, this paper provides an effective tool for quantitative simulation of and risk-sharing in public-private partnership projects, which can facilitate a regional economy’s sustainable development.

An Analysis of the Dynamic Relationships between Inflation Volatility, Exchange Rate and Output Gap Volatility in Turkey

This study investigates the short and long-run relationships between Inflation volatility, exchange rate, and output gap volatility using the ARDL bounds testing approach in Turkey. Also, we repeat the estimates by using the output gap as well. Moreover, we examine the causal relationship among these variables by using Toda-Yamamoto and frequency domain causality tests. For this purpose, the study uses quarterly time series data between 2005 Q1 and 2020 Q4. Both short and long-run results of the ARDL estimates indicate that there are statistically significant relationships between exchange rate and inflation volatility, between output gap volatility and inflation volatility, and between the output gap and inflation volatility. As expected long-run effect of the exchange rate on inflation, volatility is negative, and the effects of both output volatility and output gap on inflation volatility are positive. Also, causality tests results indicate that changes in the exchange rate, output gap volatility, and output gap will have permanent and temporary causal effects on inflation volatility. Therefore, the study results provide new evidence about the exchange rate, output gap volatility, and output gap. The policymakers should carefully consider these results to implement appropriate policies to reduce inflation volatility.

Tax revenue instability and tax revenue in developed and developing countries

Purpose This paper aims to explore the effect of non-resource tax revenue instability on non-resource tax revenue in developed and developing countries. Design/methodology/approach The analysis has used an unbalanced panel data set of 146 countries over the period 1981–2016, as well as the two-step system generalized methods of moment approach. Findings The empirical analysis has suggested that non-resource tax revenue instability influences negatively non-resource tax revenue share of gross domestic product. The magnitude of this negative effect is higher in less developed countries than in relatively advanced countries. This negative effect materializes through public expenditure instability: non-resource tax revenue instability exerts a higher effect on non-resource tax revenue share as the degree of public expenditure instability increases. Finally, non-resource tax revenue instability exerts a higher negative effect on non-resource tax revenue share as economic growth volatility rises, inflation volatility increases and terms of trade instability increases. Research limitations/implications The main policy implication of this analysis is that policies that help ensure the stability of non-resource tax revenue also contribute to improving countries’ non-resource tax revenue share. For example, governments’ measures that help cope with or prevent the severe adverse effects of shocks on economies (shocks that could translate into higher tax revenue instability) would ultimately help enhance countries’ tax revenue performance. Practical implications The severity of the current COVID-19 pandemic shock (which is a supply and demand shock) and the macroeconomic uncertainty that it has generated – inter alia, in terms of economic growth instability, terms of trade instability, inflation volatility and public expenditure instability – are likely to result in severe tax revenue losses. Governments in both developed and developing countries would surely learn from the management of this crisis so as to prepare for possible future economic, financial and health crises with a view to dampening their adverse macroeconomic effects, including here their negative tax revenue effects. Originality/value To the best of the author’s knowledge, this topic is being addressed in the empirical literature for the first time.

Do macroeconomic uncertainty and financial development cause environmental degradation? Evidence from an emerging economy

PurposeThe main purpose of this paper is to empirically investigate the effect of macroeconomic uncertainty on environmental degradation in India over the period 1971–2016. Additionally, this paper considers the role of financial development, energy consumption intensity and economic growth in explaining the variation of environmental degradation in India.Design/methodology/approachThe authors applied the power generalized autoregressive conditional heteroskedasticity model to measure inflation volatility and used it as a proxy for macroeconomic uncertainty. From a methodological perspective, the authors employ the autoregressive distributive lag bound testing model to establish the long-run equilibrium association between the variables. The Toda–Yamamoto causality approach has been used to examine the direction of causality between the variables.FindingsFindings suggest that macroeconomic uncertainty exerts a positive effect on carbon emissions, indicating that higher inflation volatility, as a proxy for macroeconomic uncertainty, hinders India's environmental quality. Financial development, economic growth and energy consumption intensity have also adversely impacted environmental quality.Practical implicationsThe negative association between macroeconomic uncertainty and environmental degradation calls for some stringent policy actions. While formulating policies to promote growth and maintain stability, policymakers and government stakeholders should take into account the environmental effects of macroeconomic policies. There is a need to implement more environmental-friendly technologies in the financial sector that could reduce carbon emission.Originality/valueTo the best of the authors' knowledge, this study is the first that considers the role of macroeconomic uncertainty along with financial development and energy intensity in an emerging economy like India.

Effects of Some Monetary Policy Targets on Inflation and Inflation Volatility: Evidence from Nigeria

The persistent inflationary pressure despite monetary policy targets has become a phenomenon of interest among researchers. The study investigates the effects of monetary policy targets on inflation and its volatility in Nigeria using data spanning from 1985 to 2019. The ADF unit root test used confirmed that all the variables under study are integrated order zero in their level series. A Comparison of inflation volatility models (ARCH and GARCH models) with appropriate error distribution using AIC indicated that ARCH (1) is most appropriate. The results of least squares (LS) and maximum likelihood (ML) ARCH methods of estimation for the model specifications showed that measures of monetary policy targets such as narrow money supply (M1), broad money supply(M2), net domestic credit(NDC), net credit to government(NCG) and credit to private sector(CPS) have no significant effect on inflation and inflation volatility respectively except M2. However, M2 effect spurs inflation rather than curbing it. Hence, it becomes imperative for the government to make proactive policies targeted to reduce inflationary pressures so as to attain price stability in Nigeria’s economic space. Keywords: monetary policy targets, inflation, Volatility models.

Political economy of central-bank mandates in developing countries

In this paper, I explain theoretically the coordination and conflict scheme of fiscal and monetary policy workings, and then empirically assess the effect of both inflation-targeting and non-inflation-only targeting policies on inflation and unemployment rates. I employ a difference-in-difference method to estimate the impact on inflation, the unemployment rate, and their volatilities in both 10 inflation-targeting (single-mandate) and 11 non-inflation-targeting (multiple-mandate) countries specifically from the sample of developing economies over the period from 1998 to 2018. Our key findings show that while the inflation-targeting countries effectively present a reduction in inflation and inflation volatility, the effects on the unemployment rate are negligible, while unemployment volatility is higher in the period 1998–2008. Finally, the paper argues that the unemployment rate should be used as a natural second target in a typical emerging-market economy case.