Disentangling the drivers of renewable energy investments: The role of behavioral factors

The scope of this study is to investigate the main determinants of renewable energy investments in Greece. For this reason, we build an appropriate framework to infer the decision‐making process in the renewable energy sources (RES). The main drivers are then categorized under two groups as economic, and behavioral ones. In the next stage, we rely on binomial (logit and probit) and quantile regression analysis to estimate the impact of these factors on investment decisions towards RES. Our findings indicate that investors who gain better access to knowledge and exhibit a more positive attitude towards the contribution of artificial intelligence (AI) on the RES industry have a higher share of renewables in their portfolio. We argue that these investors are willing to invest a higher amount in the RES industry today. At the same time, quantile regression models illustrate that this relationship is nonmonotonic (i.e., inverted U shaped curve), arguing that positive attitudes towards the contribution of behavioral factors on RES are not adequate to encourage investments after crossing a certain point (threshold). Based on the empirical findings, we argue that the message to policymakers and government officials is to promote a faster penetration of low carbon technologies to achieve sustainable economic and social growth.     

Grants-in-aid and election outcomes in recipient jurisdictions: The impact of EU funds on mayoral elections in Poland

We analyze the impact of EU funds on the outcomes of Polish mayoral elections in 2010 and 2014. We employ an instrumental variable approach to account for the endogeneity of EU funds. Our instruments approximate the availability of EU funds. The first instrument builds on the alignment of the local electorate with the regional donor government. The second instrument uses the funds spent in municipalities in the same sub-region dropped from the sample because the mayors do not run again. We do not find convincing empirical evidence in favor of the notion that EU funds increase the vote shares of mayors. We go on to test whether the electoral effect of EU funds is conditional on the attitude towards the donor institution among the population in the recipient population. This conditional factor is under-researched and politically virulent – given citizens’ skepticism towards the EU that Krastev (2017) describes for Central and Eastern European EU members. Our results are affirmative. EU funds increase the vote shares of mayors in municipalities where Krastev (2017) predicts the degree of EU skepticism to be low while they are not found to do so in municipalities where EU skepticism is predicted to be widespread. These results suggest that citizens’ attitudes towards the donor of vertical grants determine the political gains of recipients from using them.     

On the predictability of the distribution of excess returns in currency markets

This paper investigates the predictability of foreign exchange (FX) volatility and liquidity risk factors on returns to the carry trade, an investment strategy that borrows in currencies with low interest rates and invests in currencies with high interest rates. Previous studies have suggested that this predictability could have been spuriously accounted for due to the persistence of the predictors. The analysis uses a predictive quantile regression model developed by Lee (2016) that allows for persistent predictors. We find that predictability changes remarkably across the entire distribution of currency excess returns. Predictability weakens substantially in the left tail once persistence is accounted for, implying a moderate negative predictive relation between FX volatility risk and carry trade returns. By contrast, it becomes stronger in the right tail. Furthermore, we provide evidence that FX volatility risk still dominates liquidity risk after controlling for persistence. These findings suggest that the persistence of the predictors needs to be taken into account when one measures predictability in currency markets. Finally, out-of-sample forecast performance is also presented.     

The Drivers of Sovereign CDS Spread Changes: Local Versus Global Factors

We use daily data for a panel of 34 countries to investigate regional differences in sovereign credit default swaps (CDS) spread determinants and the significance of local versus global market factors. Similar to prior studies, we find a high level of commonality among CDS spreads, but our results show that this effect is stronger in Latin American CDS. The results of our quantile panel regression model show that although global forces drive spreads across the conditional distribution, changes in credit ratings are significant in explaining CDS spreads only in the upper quantiles. We also confirm the existence of regional differences in spread determinants.     

Which Part of the Chinese Art Market Is More Worth Investing In? Applying the Quantile Regression to Analyze Chinese Oil Paintings 2000–2014

This article uses a quantile regression approach to analyze the structure of the hedonic characteristics of 12,701 Chinese oil paintings sold at auctions in China and Hong Kong during the period 2000–2014. A hedonic model for both the full sample and the 0.20, 0.40, 0.60, 0.80, and 0.95 quantiles of the price distribution is estimated. The result indicates that noticeable differences exist in painting characteristics across different price ranges. The empirical evidence also suggests that highly priced Chinese oil paintings have both higher expected returns and less risk than those that are priced lower, which appear to be favorable assets to invest in.     

Trade credit in SMEs: a quantile regression approach

This article analyses the determinants of the trade credit in Spanish manufacturing small and medium-sized enterprises (SMEs) from a new perspective. Specifically, we focus on the relationship between trade credit and other relevance financial resources: bank credit and self-financing. For the first time in the literature, a quantile regression approach is used, which takes into account the heterogeneity of firms in different quantiles of trade credit distribution. Our results show that the relationship between trade credit and other financial sources presents dissimilarities, including differences in sign, on SMEs with different degrees of trade credit. Our findings help to clarify the confusing results achieved in previous research on this topic.     

经济新常态下金融包容与产业结构转型——基于中国省级面板数据的分析

在经济新常态背景下,产业结构面临重大调整,金融包容的融入,使中小企业或个人能够获得价格合理、方便快捷的金融资源,扶持创业创新发展,形成新的增长动力。本文基于1995～2012年中国31个省市的相关数据,运用面板数据模型和分位数回归方法,深入探讨金融包容对产业结构转型的影响。结果表明,金融包容与产业结构转型具有显著的正向关系,并且在不同分位点上金融包容水平对产业结构转型表现出较强的解释力,随着产业结构向高级化发展,金融包容在产业结构转型升级中的作用逐步凸显。经济增长、教育发展、财政支出规模和城市化水平均对产业结构转型具有促进作用,而过多的物质资本投入不利于产业结构转型。     

The expectations hypothesis of the term structure of interest rates: The Brazilian case revisited

This article tests the Expectations Hypothesis (EH) using Brazilian monthly data for bond yields spanning the 2000–2017 sample period and ranging in maturity from 3 months to 5 years. Three tests are examined: the first is based on interest rates spread and the other two are based on the forward rates. On balance our results suggest rejection of the EH throughout the maturity spectrum examined, and are broadly consistent with previous findings that a linear combination of forward rates provides a statistically significant prediction of bond excess returns.     

Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities

Ascertaining the influencing factors of carbon dioxide emissions in Chinese cities is an important issue for policy-makers. This paper investigates the effect of several determinants on carbon emissions per capita in Chinese cities. Non-normally distributed and heterogeneous features of carbon emissions per capita in Chinese cities are considerably important. The empirical results demonstrate that GDP per capita has an increasingly positive impact on carbon emissions per capita due to the growth in household consumption. Urbanization has a slightly decreasing positive effect on carbon emissions per capita with a quantile increase resulting from continuous highway construction. Industrialization has a decreasing positive effect with carbon emission per capita quantile increases because of increasing energy efficiency and lower costs related to carbon reductions. The population has a decreasing negative effect on carbon emissions because of people’s increasing demand for environmental safety. The distributions of emissions per capita conditional on the 10th and 90th quantiles of independent variables also vary considerably. Specific policy implications are provided based on these results.