Flood Risk and Salience: New Evidence from the Sunshine State

A growing literature finds evidence that flood risk salience varies over time, spiking directly following a flood and then falling off individuals' cognitive radar in the following years. In this article, we provide new evidence of salience exploiting a hurricane cluster impacting Florida that was preceded and followed by periods of unusual calm. Utilizing residential property sales across the state from 2002 through 2012, our main estimate finds a salience impact of ?8%, on average. The salience effect persists when we base estimation only on spatial variation in prices to limit confounding from other simultaneous changes due to shifting hedonic equilibria over time. These effects range from housing prices decreases of 5.4–12.3% depending on the year of sale. Understanding flood risk salience has important implications for flood insurance and disaster policy, the benefits transfer literature, and, more broadly, our understanding of natural disaster resilience. JEL Classification: Q51, Q54, R21     

Flood Insurance and Risk Reduction: Market Penetration,Coverage, and Mitigation in Coastal North Carolina

This article provides an overview of flood risk management in the United States, focusing on the National Flood Insurance Program and the Community Ratings System (CRS), which is designed to promote flood hazard mitigation. We review the empirical literature that examines market penetration and demand for flood insurance, as well as factors that influence community participation in CRS. Combining data from separate (but similar) surveys conducted in Dare County, North Carolina in 1998 and 2008, we examine trends in flood insurance holdings and explore the extensive (binary participation) and intensive (coverage level) margins using regression analysis. We explore trends in CRS mitigation activities in Dare County and discuss potential difficulties in analyzing these data. Finally, we highlight avenues for future research.     

Semiparametric Model of Hedonic Housing Prices in Japan

We propose a semiparametric hedonic model of housing prices with nonlinearity in age and cohort effects. The model avoids the simultaneity problem among age, cohort and year effects, which is a common problem in linear hedonic models. Applying the model to housing prices in Tokyo between 1990 and 2008 revealed significant nonlinearities in both the age and cohort effects, and significant interactions between these effects, with the shape of the age effect differing across housing cohorts. Estimates of the year effect indicated a declining trend in prices that was more pronounced compared with those of conventional linear hedonic models.     

Flood Fatalities in the United States: The Roles of Socioeconomic Factors and the National Flood Insurance Program

Flooding is the most frequent disaster type among all severe weather events in the United States. Over the 20‐year period from 1996 to 2015, a total of 107,743 floods resulted in 1563 fatalities and over $167 billion in damages. Climate models suggest that the risk of major flooding will increase in the coming years. In this article, we provide new analysis of the life‐saving role of the National Flood Insurance Program (NFIP) using county‐level data for the United States over the years 1996–2015. The integrated view of the physical, social, economic, and political elements of disaster vulnerability guides the empirical analysis. Our analysis indicates that people most affected by floods are those who have weaker economic and social bases; lower education levels and poor housing quality increase flood vulnerability. We also find that local government spending on public safety and welfare significantly reduces overall flood vulnerability. Importantly, our estimates present new evidence that ex ante floodplain management and mitigation efforts required for participation in the NFIP have played a vital role in reducing flood‐related fatalities.     

Weathering the Storm: Measuring Household Willingness‐to‐Pay for Risk‐Reduction in Post‐Katrina New Orleans

The city of New Orleans suffered extensive damage as a result of Hurricane Katrina. Rebuilding involves decisions on investment in protective measures. An exhaustive list of protective measures has been studied in planning documents, with public comment solicited in town hall meetings. In this study we employ a different approach to examine public sentiment toward the selection and investment in protective measures. Our study uses a stated preference choice experiment with a stratified sample to investigate individuals' willingness‐to‐pay for rebuilding New Orleans's man‐made storm defenses, restoring natural storm protection, and improving evacuation options through a modernized transportation system. We target residents of the New Orleans metropolitan area as well as other U.S. citizens. Our results indicate that individuals are willing to pay for increased storm protection for New Orleans, but values differ among residents of the New Orleans metropolitan area and other U.S. citizens.     

Development of Public Housing in Post‐reform China

This paper explores the dynamic nature of the transformation of public housing regimes in urban China since the abolishment of the urban welfare housing system in the late 1990s. We summarize the latest progress in the development of public housing in post‐reform China and investigate the driving forces behind these developments. A close examination of the public rental housing program in Shanghai helps to show that the recent revival of public housing in Chinese cities is mostly driven by the desire for economic growth. We conclude that the state provision of housing could be a short‐run state remedy to alleviate economic imbalance and social inequality. However, in the long run China needs to seek more effective solutions to solve the low‐income population's housing affordability problems.     

China and Natural Resource Curse in Developing Countries: Empirical Evidence from a Cross‐country Study

China's rising demand for natural resources and its growing presence in many poor and resource‐rich countries have been criticized for promoting neo‐colonialism in the 21st century. Using panel data for 135 developing countries from 1995 to 2007, the present paper empirically evaluates the validity of such claims. Our findings do not support the resource curse thesis in the areas of industrialization and economic growth. Moreover, the effect of resources is conditional on the initial quality of political institutions in a country.     

Fear and greed: The evolution of double liability in American banking, 1865-1930

This paper examines the pattern and timing of the enactment of double liability for state banks in the United States prior to the Great Depression. Under double liability, shareholders of failing banks could lose, in addition to the initial purchase price of shares, an amount equal to the par value of shares owned. The results suggest that double liability was adopted by states subject to greater economic risks, where bank failures were more likely, or where the economy and banking sector were more advanced and bank failures would be more costly (i.e., fear), and that single liability was adopted by more rapidly growing states, where the payoff to greater risk-taking was higher (i.e., greed).     

Experience and Confidence in an Internet‐Based Asset Market Experiment

The experience effect in asset markets is one that was thought to be settled. As subjects gained experience with the interface and each other, they typically exhibit fewer instances of mispricing and at lower magnitudes. But questions regarding trading experience are not easy to address in the lab with the typical subject pool since the kind of experience one can typically generate in the lab is experience with the experimental environment itself—not with external environments. However, in virtual worlds asset markets are highly evolved, providing a subject pool with skilled and experienced traders that can be accessed via the Internet. This study compares experimental asset markets with participants recruited from virtual world trading groups to experimental markets with participants recruited from the virtual world at large. I further examine trader performance and trading behavior within markets. The findings indicate that asset markets with virtual world participants recruited from trading groups are more prone to exhibit bubbles than are markets with virtual world participants recruited at large. Within condition, experienced traders are less likely to follow fundamentals and more likely to engage in strategies that result in loss of earnings. Excess confidence is rejected as an explanation for this pattern, as confidence is found to be related to higher earnings and fundamental value trading strategies.     

Cross‐border Mergers and Acquisitions and Financial Development: Evidence from Emerging Asia

This paper examines the relationship between cross‐border mergers and acquisitions (M&A) and financial development in emerging Asian economies. Bilateral cross‐border M&A data for nine emerging Asian economies covering 2000–2009 are analyzed with a sample selection model and a panel data model. The estimation results show that although the banking sector still plays a crucial role in facilitating cross‐border M&A, the role of equity markets has increased in importance because, in addition to cash, the issuance of common stock and the exchange of stocks have become popular forms of payment for M&A deals. Because of the relatively thin market, the primary corporate bond market plays a limited role in supporting cross‐border M&A, which is in contrast to the primary public bond market. However, for the secondary market, the corporate bond market is more effective in facilitating cross‐border M&A. The results also show that financial development in terms of stock and bond markets in their home countries tends to become more important when the target firms reside in more developed countries. In addition to financial development, the paper shows that most cross‐border M&A are invested in technology‐related and resource‐based industries while cheap labor industries are relatively less attractive.     

房价影响因素的空间非一致性与差异化调控手段——基于Panel Data模型的实证研究

房地产价格受多种宏观经济因素的综合影响,不同城市的房价决定因素可能存在差异。文章将全国城市划分为四种级别,并选择17个一、二、三线样本城市,以货币供应量、CPI、GDP、城镇居民家庭人均可支配收入和社会固定资产投资额为解释变量,选取2002-2012年的季度数据,构建Panel Data模型,研究房价影响因素的空间非一致性,研究结果证明了空间非一致性的存在。基于此,对一、二、三线城市分别提出了差异性调控手段建议。     

Predicting Efficiency in Angolan Banks: A Two‐Stage TOPSIS and Neural Networks Approach

This paper presents an efficiency assessment of the Angolan banks using Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS). TOPSIS is a multi‐criteria decision‐making technique similar to data envelopment analysis, which ranks a finite set of units based on the minimisation of distance from an ideal point and the maximisation of distance from an anti‐ideal point. In this research, TOPSIS is used first in a two‐stage approach to assess the relative efficiency of Angolan banks using the most frequent indicators adopted by the literature. Then, in the second stage, neural networks are combined with TOPSIS results as part of an attempt to produce a model for banking performance with effective predictive ability. The results reveal that variables related to cost structure have a prominent negative impact on efficiency. Findings also indicate that the Angolan banking market would benefit from higher level of competition between institutions.     

Market and Welfare Effects of Mandatory Country‐of‐Origin Labeling in the U.S. Specialty Crops Sector: An Application to Fresh Market Apples

This study provides a new framework of analysis of the market and welfare effects of mandatory country‐of‐origin labeling (MCOOL) for fruits and vegetables that accounts for heterogeneous consumer preferences, differences in producer agronomic characteristics, and retailer market power. The market and welfare effects of MCOOL are shown to be case‐specific and dependent on the labeling costs at the farm and retail levels, the strength of consumer preference for domestic products, the market power of retailers, the marketing margin along the supply chain, and the relative costs of imported and domestic products. Simulation results for the U.S. market of fresh apples indicate that domestic producers are the most likely beneficiaries of MCOOL, followed by domestic consumers. Being unable to exercise market power on consumers or suppliers of fresh apples, retailers will lose if the implementation of MCOOL entails fixed costs. Imports of fresh apples decline after MCOOL introduction.     

An Index‐Based Model for Determining the Investment Benchmark of Renewable Energy Projects in South Africa

In a globalised world, financial markets observe the optimal level of asset allocation and returns based on risk inherent in the economies. Whether public or private investors, they need to have an optimal return on their investment given the finite resources. In relatively new sectors like grid‐connected renewable energy, many investors face difficulty in assessing proper return, making them more averse to financing such projects, affecting transborder project development opportunities. In developing countries like South Africa, which has tremendous potential for renewable energy projects, an arbitrary choice of the required rate of return for project evaluations can negatively affect funding decisions. This paper explores an index‐based model to make fair estimates of the required equity benchmark internal rate of return (IRR) using financial markets observation for renewable energy projects in South Africa. The index‐based model is parsimonious and captures common macroeconomic factors. More specifically, it provides a simple and effective mechanism to calculate IRR for renewable energy projects given different gestation periods.     

基金羊群行为与投资组合崩盘风险——基于序贯交易模型的实证研究

采用序贯交易模型度量基金羊群行为,选取 2007-2016 年的公募基金为样本,实证考察 了基金羊群行为对投资组合崩盘风险的影响。研究发现:(1)基金羊群行为降低了投资组合的崩 盘风险,且在“牛市”和“熊市”的特殊阶段尤为明显;(2)相对于男性,女性基金经理的羊群 行为与投资组合崩盘风险的负向关系更强;(3)基金羊群行为通过减少基金的泡沫股票持仓比例 降低了投资组合崩盘风险;(4)基金羊群行为通过减弱正反馈交易降低了投资组合崩盘风险。文 章揭示了基金羊群行为是一种“以邻为壑”的投资策略,其降低自身崩盘风险是建立在加剧了市 场波动、破坏了市场稳定以及提高了金融体系脆弱性的代价之上的。政府应该加快推进市场监管 体系改革、完善相关的信息披露制度,合理引导、规范基金经理的各类交易行为,进而缓解由于 个体过分追逐自身利益所带来的“负外部性”对市场造成的不利影响。     

A Flexible Neuro‐Fuzzy Approach for Improvement of Seasonal Housing Price Estimation in Uncertain and Non‐Linear Environments

Changes in housing price affect both individuals and government since they have substantial influence on the socio‐economic conditions. Valuations of housing are necessary in order to assess the benefits and liabilities in housing sector. This study presents a flexible meta‐modelling approach for improvement of housing price estimation in ambiguous and complex environments. It is composed of artificial neural network (ANN) and fuzzy linear regression (FLR). Seven FLR models are considered to cover latest approaches and viewpoints. Also, ANN is applied to data sets. The preferred FLR model is selected via mean absolute percentage of error (MAPE) for further considerations, and then the preferred FLR model and the best structure of ANN are applied to the data set. Finally, the preferred model is selected based on MAPE. The intelligent approach of this study is applied for estimation and forecasting housing price in Iran. The housing price in Iran mainly is based on eight economic indices including currency, oil income, general index, house service pricing index, rate of informal market, gross domestic production in basic price, added value of oil group and construction materials price. FLR is identified as the preferred model with lowest MAPE for housing price forecasting in Iran. This shows that the housing market of Iran is associated with severe environmental fuzziness and ambiguity. This is the first study that introduces a flexible neuro‐fuzzy approach for improved estimation and forecasting of housing price in noisy, complex and uncertain environments.     

Land use change and environmental stress of wheat, rice and corn production in China

Grain self-sufficiency is one of the most important agricultural policy goals in China. With only modest imports, China has succeeded in feeding 22% of the world's population on only 7% of its land. However, a high price has been paid for this enormous achievement. Increase in grain yields, in particular in rice, as the main source of production growth, relied heavily on intensive use of physical inputs and increasing intensity of farming systems. Soil degradation, water scarcity, and severe pollution were among the consequences as well as declining efficiency of fertilizer application. Using county-level panel data from 1980 to 2003 and graphical (GIS-based) analysis, this paper first looks at the spatial change of the major grain production across regions over the past two decades, towards the northern and northeastern provinces. The analysis is complemented by using a random panel data model, which underscores the significant influence of land availability, degree of urbanization, and government policy on grain production. Finally, this analysis addresses environmental stress which includes both soil degradation and water shortage. The latter is already severe in many of the traditional grain producing areas, but will now become a bigger problem in the “new” grain producing areas, as these have traditionally much less water resources. Hence, while the economic rational of the “grain shift” towards the northern and northeastern regions is understandable, its sustainability is not guaranteed.     

Ownership Structure and Risk‐taking Behavior: Evidence from Banks in Korea and Japan

This study analyzes the effects of managerial ownership on the risk‐taking behavior of Korean and Japanese banks during the relatively regulated period of the late 1990s to the early 2000s. It finds that managerial ownership alone does not affect either the risk or the profit levels of Korean banks. In contrast, an increase in managerial ownership adds to the total risk of Japanese banks. However, increased risk‐taking behavior does not produce higher levels of profit for Japanese banks. The coefficients of the interaction term between franchise value and managerial ownership are negative and statistically significant for both the Korean and the Japanese banking industries. This means that an increase in managerial ownership in banks with high franchise values discourages risk‐taking behavior. The results confirm the disciplinary role of franchise value on the risk‐taking behavior of banks. These results also fall in line with previous literature supporting the moral hazard hypothesis based on research into the economies of the USA and other countries.     

Regional Competition in China under the Price Distortion of Construction Land: A Study Based on a Two‐regime Spatial Durbin Model

This study examines regional competition in China by considering the spatial correlation and spillover effect of construction land price distortion using a two‐regime Spatial Durbin Model to investigate the patterns and trends of the competition between 285 cities in China from 2006 to 2015. The study finds: (i) price distortion of construction land is a common phenomenon but the distortion index generally shows a declining trend; (ii) regional competition through construction land price distortion shows a weakly intensified pattern, although the competition patterns in the four regions of China varied; and (iii) the intensity of competition between regions was lower during the 12th Five‐year Plan compared to the 11th Plan. The intensity of competition between cities was also lower inside than outside urban agglomerations. These results provide policy implications for remedying the price distortion of construction land and promoting regional coordinated development.