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Reasonable risk sharing is the key to the smooth implementation of infrastructure public-private partnership (PPP) projects and the optimization of benefit distribution among the participants. This study aims to explore the risk redistribution ratio between the government and the private sector under different degree of fairness concern.

Renegotiation is a mechanism to provide flexibility and make up for incompleteness of PPP contracts. However, the threshold value of risk redistribution ratio and negotiation cost are not explicitly considered in previous studies. In addition, these studies do not consider the influence of the fairness concern psychology on the negotiation process. To address these gaps, based on risk-income equilibrium analysis, this paper established the bargaining optimization model of PPP projects renegotiation considering the fairness concerns of the negotiating parties. Furthermore, this study analyzed the influence of fairness concern degree on negotiation thresholds, negotiation results, and negotiation incomes under three scenarios.

The results showed that excessive focus on the fairness of incomes may exclude the risk redistribution ratio that is most beneficial to project incomes from the negotiation threshold. Moreover, the increase in the fairness concerns of negotiating parties can reduce the negotiation success period, but the net income may not necessarily be improved.

The main contribution of this paper is to propose a new risk renegotiation methodology based on the risk-income equilibrium analysis, which is helpful to develop risk management strategies in the construction field. The research results can provide government with reference about renegotiation in decision making and provide theoretical support for the practice of PPP renegotiation.

The authors test the effect of expenditure decentralization and fiscal equalization on short- and long-run economic growth and estimate two-step generalized method of moment (GMM) simultaneous equations models, using panel data for China and India for the period 1985 to 2005. The authors estimate two simultaneous equations: a growth equation and equalization equation and find that expenditure decentralization has a negative and statistically significant effect at conventional levels on short-run economic growth for both China and India. However, the authors also find that this result is sensitive to the set of included explanatory variables. This leads the authors to conclude that expenditure decentralization has no effect on short-run economic growth for either country. The authors also find that expenditure decentralization has a positive and statistically significant effect on fiscal equalization for both countries but find no evidence that fiscal equalization affects short-run economic growth for either China or India. In contrast, the authors find that expenditure decentralization has a positive effect on long-run economic growth in the case of India, but not in the case of China. Finally, the authors report evidence that fiscal equalization has no effect on long-run economic growth in the case of China; however, the authors find that equalization has a positive and statistically significant at conventional levels effect on long-run economic growth in India.

The authors estimate two-step GMM simultaneous equations models, using panel data for China and India for the period 1985 to 2005. To examine the effect of fiscal decentralization (FD) policies on economic growth in China and India, the authors estimate two equations: a growth equation and an equalization equation. For the growth equation, the authors adopt a production-function-based model that is widely used in the empirical literature on growth; however, the authors do make some compromises with this specification due to the unavailability of certain data. For the equalization equation, the authors include variables that economic theory and empirical evidence suggest influence fiscal disparities among subnational governments which in turn influence the demand for horizontal fiscal equalization (HFE). To the extent possible, the authors employ the same econometric specification, variable constructions and sample periods for both China and India. The authors believe this strategy provides a more rigorous test of the FD hypothesis.

The authors find that expenditure decentralization has a negative and statistically significant effect at conventional levels on short-run economic growth for both China and India. However, the authors also find that this result is sensitive to the set of included explanatory variables. This leads to conclude that expenditure decentralization has no effect on short-run economic growth for either country. The authors also find that expenditure decentralization has a positive and statistically significant effect on fiscal equalization for both countries but find no evidence that fiscal equalization affects short-run economic growth for either China or India. In contrast, the authors find that expenditure decentralization has a positive effect on long-run economic growth in the case of India, but not in the case of China. Finally, the authors report evidence that fiscal equalization has no effect on long-run economic growth in the case of China; however, the authors find that equalization has a positive and statistically significant at conventional levels effect on long-run economic growth in India.

Due to the importance of FD policies, especially to many developing countries that are currently pursuing decentralization reforms, future research should examine the effect of FD on economic growth for other countries. Furthermore, although it would be difficult to do so, future research should examine whether FD promotes political stability on ethnically diverse countries.

To the best of the authors’ knowledge, no one has examined the effect of FD policies on India's growth experience. What is more is that this is also the first of its kind to have a comprehensive empirical investigation into these two major developing countries with very interesting similarities and differences in FD policies. It is thus of great importance to examine the effect of expenditure decentralization and HFE on economic growth in China and India.

This paper examines how voters' initiatives used in 24 states affect state budget balance. The author first uses a qualitative approach to investigate the extent to which ballot initiatives are used and identifies the initiatives that have had significant impacts on state revenues and expenditures. The review shows that the impact of initiatives differs from a state to state. The heavy initiative user states have experienced substantial impact on their budgets. Second, as their impact on state budget is particularly significant during economic downturn, a linear regression analysis is performed to examine the relationship between the use of initiatives and state budget balance measured in terms of the state budget gap as percentage of FY 2010 general fund. The regression analysis shows that the number of expenditure-induced initiatives have a statistically significant effect on state budget gap, while revenue-restrained measures (e.g. number of tax-limiting measures and the use of super majority or popular vote to approve tax increase) only marginally affect the FY 2010 budget gap.

This paper aims to give a brief review on behavioral economics and behavioral finance and discusses some of the previous research on agents' utility functions, applicable risk measures, diversification strategies and portfolio optimization.

The authors also cover related disciplines such as trading rules, contagion and various econometric aspects.

While scholars could first develop theoretical models in behavioral economics and behavioral finance, they subsequently may develop corresponding statistical and econometric models, this finally includes simulation studies to examine whether the estimators or statistics have good power and size. This all helps us to better understand financial and economic decision-making from a descriptive standpoint.

The research paper is original.

By implementing various forms of preference policies, countries around the world intervene in their economies for their own political and economic purposes. Likewise, twenty-five states in the U.S. have implemented in-state preference policies (NASPO, 2012) to protect and support their own vendors from out-of-state competition to achieve similar purposes. The purpose of this paper is to show the connection between protectionist public policy instruments noted in the international trade literature and the in-state preference policies within the United States. This paper argues that the reasons and the rationales for adopting these preference policies in international trade and the states' contexts are similar. Given the similarity in policy outcomes, the paper further argues that the international trade literature provides an overarching explanation to help understand what states could expect in applying in-state preference policies.

Modern subway transportation systems need to satisfy increasing safety demands to rapidly evacuate passengers under hazardous emergency circumstances, such as fires, accidents or terrorist attacks, to reduce passenger injuries or life losses. The emergency evacuation capacity (EEC) of a subway station needs to be revised timely, in case passenger demand increases or the evacuation route changes in the future. However, traditional ways of estimating EEC, e.g. fire drills are time- and resource-consuming and are difficult to revise from time to time. The purpose of this study is to establish an intuitive modelling approach to increase the EEC of subway stations in a stepwised manner.

This study develops an approach to combine agent-based evacuation modelling and building information modelling (BIM) technology to estimate the total evacuation time of a subway station.

Evacuation time can be saved (33% in the studied case) from iterative improvements including stopping escalators running against the evacuation flow and modifying the geometry around escalator exits. Such iterative improvements rely on integrating agent-based modelling and BIM.

The agent-based model can provide a more realistic simulation of intelligent individual movements under emergency circumstances and provides precise feedback on locations of evacuation bottlenecks. This study also examined the effectiveness of two rounds of stepwise improvements in terms of operation or design to increase the EEC of the station.

This paper aims to answer the question: What are the impacts of implementing in-state procurement preference policies on the economy of the state of South Carolina?

Toevaluate the impacts, the following six economic indicators were analyzed: jobs, personal income, real disposable income, output (sales), gross state product and value added. The data were collected from the South Carolina Procurement Services Office and were then analyzed using the Regional Economic Model Policy Insight (REMI PI+) for economic forecasting and policy analysis. The results from the REMI PI+ showed that implementing in-state preference policies benefitted the state and its communities economically.

Specifically, from 2010 until 2017, the total economic impact of implementing preference policies generated $17m in total output, 135 total job-years, $10.22m in gross state product (GSP), $10.27m in value added, $7.52m in income and $5.14m in real disposable personal income. The impact on the wholesale trade industry was over $5m in total industry output and approximately 27 jobs-years. In the manufacturing sector, the total impact was over $4m in output and approximately 17 jobs-years. The impact on the construction industry was approximately $3m in output and approximately 30 jobs-years. Although the values of these economic indicators were very small compared to the size of the state economy, they did outweigh the direct cost of implementing preference policies, thus demonstrating that overall the in-state preference policies contributed to South Carolina’s economy. However, further research is warranted to identify more precisely the benefits and costs of implementing preference policies.

This study explores the interplay among climate change, economic growth and energy consumption in G20 countries by considering the role of green energy.

This study uses various empirical tools to determine the association between carbon emissions, economic growth, renewables, non-renewables, population and urbanization for a panel of G20 countries between 1990 and 2014.

Empirical outcomes from various empirical tools reveal a positive and significant impact of economic growth, non-renewable energy consumption and urbanization on carbon emissions, and their increase will further lead to the deterioration of environmental quality. The elasticity coefficient of renewable energy coefficient is negative and significant implying an increase in its consumption will improve environmental quality. Panel causality test results reveal the existence of both short-run and long-run causality among the variables. Therefore, results infer that a reduction in the consumption of non-renewable and substitution with renewables will have a significant impact on carbon emission mitigation.

Through this study, the authors suggest the sustainable use of renewables as they are sustainable, secure, efficient, environmentally justifiable and economically viable sources of energy. Therefore, replacing traditional non-renewables with modern renewables has the potential in avoiding the dangerous impacts of greenhouse gases (GHGs) particularly in the G20 countries. This paper intends to guide policymakers regarding the environmental quality and renewable energy consumption required to hold back the fossil fuel dependence for a cleaner and greener planet.

This paper analyzes the impact of economic downturns on the revenue and expense sides of city financing for the period 2003 to 2009 using a convenience sample of the audited end of year financial reports for thirty midsized US cities. The analysis focuses on whether and how quickly and how extensively revenue and spending directions from past years are altered by recessions. A seven year series of Comprehensive Annual Financial Report (CAFR) data serves to explore whether citiesʼ revenues and spending, especially the traditional property tax and core functions such as public safety and infrastructure withstood the brief 2001 and the persistent 2007 recessions? The findings point to consumption (spending) over stability (revenue minus expense) for the recession of 2007, particularly in 2008 and 2009.

Despite the wide dissemination and application of current signature analysis (CSA) in general industry, CSA is not commonly used in the wind industry, where the use of vibration signals predominates. Therefore, the purpose of this paper is to review the use of generator CSA (GCSA) in the online fault detection and diagnosis of wind turbines (WTs).

This is a bibliographical investigation in which the use of GCSA for the maintenance of WTs is analyzed. A section is dedicated to each of the main components, including the theoretical foundations on which GCSA is based and the methodology, mathematical models and signal processing techniques used by the proposals that exist on this topic.

The lack of appropriate technology and mathematical models, as well as the difficulty involved in performing actual studies in the field and the lack of research projects, has prevented the expansion of the use of GCSA for fault detection of other WT components. This research area has yet to be explored, and the existing investigations mainly focus on the gearbox and the doubly fed induction generator; however, modern signal treatment and artificial intelligence techniques could offer new opportunities in this field.

Although literature on the use of GCSA for the detection and diagnosis of faults in WTs has been published, these papers address specific applications for each of the WT components, especially gearboxes and generators. For this reason, the main contribution of this study is providing a comprehensive vision for the use of GCSA in the maintenance of WTs.