Corporate social responsibility: attributions,loyalty, and the mediating role of trust

This study investigates whether consumers’ perceptions of motives influence their evaluation of corporate social responsibility (CSR) efforts. The study reveals the mediating role of consumer trust in CSR evaluation frameworks; managers should monitor consumer trust, which seems to be an important subprocess regulating the effect of consumer attributions on patronage and recommendation intentions. Further, managers may allay the negative effects of profit-motivated giving by doing well on service quality perceptions. On the other hand, appropriately motivated giving continues to positively affect trust regardless of the performance of the firm on service quality provision.     

长三角地区循环经济推进效果实证研究

文章运用文献归纳方法,归纳出一套包括3个层次、16个具体指标的区域循环经济评价指标体系。在此基础上,运用多指标排序法对长三角（上海、江苏、浙江）的循环经济推进效果进行评价与比较。结果表明,长三角区域的循环经济推进总体态势良好,但与地区GDP增速相比仍然存在不足。比较研究得出,上海市循环经济推进效果最好,浙江次之,江苏殿后。     

我国保险业对外开放的现状及经济效应分析

保险业是我国金融业对外开放的排头兵,改革开放以来,保险业取得巨大进步,目前我国已成为全球第二大保险市场.但外资保险机构在华的发展仍相对缓慢,存在市场份额较小、区域布局不平衡等问题.使用跨国面板数据实证分析发现,扩大金融保险业的开放有利于经济增长;使用制度变量实证发现,良好的制度环境特别是稳定的政权和政府高质量监管有利于...     

Productivity changes in pre-crisis Western European banks: Does scale effect really matter?

Insofar as the completion of the Single Market for Financial Services, it has presented new challenges for European Banking industries. In this study, we use a recently developed generalized metafrontier Malmquist productivity index (gMMPI) to provide insights on productivity growth. We extend the gMMPI to broaden the index's capacity by decomposing various sources of productivity change in the metafrontier context. The sample contains commercial banks from 12 Western European countries prior to the recent financial crisis. A key advantage of our extension is that it introduces the role of scale effects. The empirical results show that an average bank's productivity growth arises mainly from technical changes and scale effects. Moreover, smaller and larger banks grow faster than medium ones. In addition, conservative banks tend to grow faster. These findings suggest that a more competitive and integrated financial market induced by financial deregulation is indeed able to improve banks’ productivity.     

Cox Point Processes: Why One Realisation Is Not Enough

We review a rich class of point process models, Cox point processes, and illustrate the necessity of more than one observation (point patterns) in performing parameter estimation. Furthermore, we introduce a new Cox point process model by treating the intensity function of the underlying Poisson point process as a random mixture of normal components. The behaviour and performance of the new model are compared with those of popular Cox point process models. The new model is exemplified with an application that involves a single point pattern corresponding to earthquake events in California, USA.     

INCENTIVES AND SOCIAL NORMS: A MOTIVATION‐BASED ECONOMIC ANALYSIS OF SOCIAL NORMS

Abstract It is now commonplace to regard social norms as a subject of growing interest in the economic literature (e.g. game theoretical approaches based on ‘other‐regarding’ individual preferences, the analysis of the impact of rewards or punishment on individuals’ behaviour through experimental economics as well as field experiments, the revival of the institutionalist tradition spurred on by the influential work of Douglas North and followed by many others and the growing influence of neuroeconomics). In this paper, we focus on the relationship between incentives and social norms and survey the literature that could constitute the foundations of a motivation‐based economic analysis of social norms. Our main findings are that (1) the interaction between incentives and social norms is far from obvious since taking social norms into account involves the introduction of supplementary motives, in addition to self‐interest, into the economic analytical framework; (2) the analysis of the interaction between incentives and social norms resists an approach exclusively in terms of crowding‐in and ‐out effects because it is sensitive to whether it concerns behaviours driven by honour or by social stigma; (3) as a result, it is difficult to precisely evaluate the policy implication of the interactions between incentives and social norms.     

Is bitcoin a safe haven or a hedging asset? Evidence from China

Based on daily data about Bitcoin and six other major financial assets (stocks, commodity futures (commodities), gold, foreign exchange (FX), monetary assets, and bonds) in China from 2013 to 2017, we use a VAR-GARCH-BEKK model to investigate mean and volatility spillover effects between Bitcoin and other major assets and explore whether Bitcoin can be used either as a hedging asset or a safe haven. Our empirical results show that (i) only the monetary market, i.e., the Shanghai Interbank Offered Rate (SHIIBOR) has a mean spillover effect on Bitcoin and (ii) gold, monetary, and bond markets have volatility spillover effects on Bitcoin, while Bitcoin has a volatility spillover effect only on the gold market. We further find that Bitcoin can be hedged against stocks, bonds and SHIBOR and is a safe haven when extreme price changes occur in the monetary market. Our findings provide useful information for investors and portfolio risk managers who have invested or hedged with Bitcoin.     

Estimating panel data models in the presence of endogeneity and selection

We consider estimation of panel data models with sample selection when the equation of interest contains endogenous explanatory variables as well as unobserved heterogeneity. Assuming that appropriate instruments are available, we propose several tests for selection bias and two estimation procedures that correct for selection in the presence of endogenous regressors. The tests are based on the fixed effects two-stage least squares estimator, thereby permitting arbitrary correlation between unobserved heterogeneity and explanatory variables. The first correction procedure is parametric and is valid under the assumption that the errors in the selection equation are normally distributed. The second procedure estimates the model parameters semiparametrically using series estimators. In the proposed testing and correction procedures, the error terms may be heterogeneously distributed and serially dependent in both selection and primary equations. Because these methods allow for a rather flexible structure of the error variance and do not impose any nonstandard assumptions on the conditional distributions of explanatory variables, they provide a useful alternative to the existing approaches presented in the literature.     

Spatial welfare economics versus ecological footprint: modeling agglomeration,externalities and trade

A welfare framework for the analysis of the spatial dimensions of sustainability is developed. It covers agglomeration effects, interregional trade, negative environmental externalities, and various land use categories. The model is used to compare rankings of spatial configurations according to evaluations based on social welfare and ecological footprint indicators. Five spatial configurations are considered for this purpose. The exercise is operationalized with the help of a two-region model of the economy, that is, in line with the ‘new economic geography.’ By generating a number of numerical ‘counter-examples,’ it is shown that the footprint method is inconsistent with an approach aimed at maximum social welfare. Unless environmental externalities are such a large problem that they overwhelm all other components of economic well-being, a ‘spatial welfare economic’ approach delivers totally different rankings of alternative land use configurations than the ecological footprint.      

Spillovers from universities: Evidence from the land-grant program

This paper estimates the short- and long-run effects of universities on geographic clustering of economic activity, labor market composition and local productivity and presents evidence of local spillovers from universities. I treat the designation of land-grant universities in the 1860s as a natural experiment after controlling for the confounding factors with a combination of synthetic control methods and event-study analyses. Three key results are obtained. First, the designation increased local population density by 6 percent within 10 years and 45 percent in 80 years. Second, the designation did not change the relative size of local manufacturing sector. Third, the designation enhanced local manufacturing output per worker by $2136 (1840 dollars; 57 percent) in 80 years while the short-run effects were negligible. This positive effect on the productivity in non-education sectors suggests the existence of local spillovers from universities. Over an 80-year horizon, my results indicate that the increase in manufacturing productivity reflects both the impact of direct spillovers from universities and general agglomeration economies that arise from the increase in population.