考虑损失厌恶的物流服务供应链质量承诺决策分析

在物流服务供应链系统中，服务质量承诺能够有效降低客户的感知风险，是物流服务顺利交付的重要保证。本文考虑了客户的损失厌恶这种心理机制，以物流服务供应链整体效用最大化为目标构建集成商的质量承诺决策模型，并分析了质量监控成本、质量补偿成本、客户感知质量均值、客户收益敏感度以及客户损失厌恶程度对最优的质量承诺的影响。分析结果表明，集成商在考虑客户损失厌恶偏好情景下的质量承诺水平要高于仅考虑质量成本的情景。同时，客户损失厌恶程度和收益敏感度对质量承诺决策产生积极的作用，其中客户收益敏感度影响更大。     

Income smoothing among European systemic and non-systemic banks

There is scant research on the financial reporting behaviour of global systemically-important banks (G-SIBs) and non-global systemically-important banks (non-G-SIBs). We examine the link between financial reporting and financial system stability given the understanding that income smoothing is a stability mechanism for banks. We empirically examine whether the way G-SIBs use loan loss provisions (LLPs) to smooth income differ compared to non-G-SIBs and the incentive to do so. We examine 231 European banks and find that income smoothing is pronounced among G-SIBs in the post-crisis period and pronounced among non-G-SIBs in the pre-crisis period. Also, G-SIBs exhibit greater income smoothing when they: (i) have substantial non-performing loans, (ii) are more profitable and meet/exceed minimum regulatory capital ratios (iii) engage in forward-looking loan-loss provisioning and during recessionary periods. The implication of our findings is that capital regulation and abnormal economic fluctuations create incentives for systemic banks to use accounting numbers (loan loss provisions) to smooth income, which also align with the financial system stability objective of bank regulators. Our findings are useful to accounting standard setters in their evaluation of the role of reported accounting numbers for financial system stability, given the current regulatory environment in Europe which focuses on systemic banks.     

On the welfare implications of nominal GDP targeting

This paper examines the welfare implications of a nominal GDP growth targeting rule, a nominal GDP level targeting rule, and inflation targeting regime in a New Keynesian model featuring positive trend inflation, two measures of welfare, and both high and low growth environments. The paper finds that (i) in general, nominal GDP growth targeting dominates other rules with changes in all dimensions; (ii) nominal GDP growth targeting framework is superior to the level targeting regime for most scenarios; (iii) inflation targeting is preferred to nominal GDP level targeting regime, but to minimize short-run fluctuations, the latter is advantageous; (iv) nominal GDP level targeting may be desirable only in a low growth environment with both low inflation indexation and consumption equivalence criteria. The simulation results provide solid evidence to policy makers on the desirability of nominal GDP growth targeting.     

On the marginal excess burden of taxation in an overlapping generations model

We extend marginal excess burden (MEB) analysis in public finance literature to a dynamic general equilibrium model with incomplete markets and heterogeneous households. This extension allows us to quantitatively assess efficiency ranking and incidence of taxes. Our results indicate a disparity in welfare cost and distributional consequence of different forms of taxation on capital, labor and consumption. According to our MEB ranking, capital income taxation appears to be least efficient as it results in larger marginal excess burdens, compared to labor income tax and consumption tax. The tax incidence analysis shows variation of tax burdens across households, depending on their age, income type and generation. In particular, older households with higher income bear the highest burden of company income tax; meanwhile, future born households bear the highest burden of personal income tax. Hence, our MEB analysis demonstrates a fruitful approach to better understanding efficiency and incidence of tax reforms in one unified framework.     

Testing forecast accuracy of expectiles and quantiles with the extremal consistent loss functions

Forecast evaluations aim to choose an accurate forecast for making decisions by using loss functions. However, different loss functions often generate different ranking results for forecasts, which complicates the task of comparisons. In this paper, we develop statistical tests for comparing performances of forecasting expectiles and quantiles of a random variable under consistent loss functions. The test statistics are constructed with the extremal consistent loss functions of Ehm et al. (2016). The null hypothesis of the tests is that a benchmark forecast at least performs equally well as a competing one under all extremal consistent loss functions. It can be shown that if such a null holds, the benchmark will also perform at least equally well as the competitor under all consistent loss functions. Thus under the null, when different consistent loss functions are used, the result that the competitor does not outperform the benchmark will not be altered. We establish asymptotic properties of the proposed test statistics and propose to use the re-centered bootstrap to construct their empirical distributions. Through simulations, we show that the proposed test statistics perform reasonably well. We then apply the proposed method to evaluations of several different forecast methods.     

Loan loss accounting and procyclical bank lending: The role of direct regulatory actions

I provide evidence that loan loss accounting affects procyclical lending through its impact on regulatory actions. Regulators are more likely to place banks with inadequate loan loss allowances under enforcement actions that restrict lending, leading these banks to lend less during downturns. Further, I find that banks with lower regulatory ratings lend less when they have more timely provisions, consistent with research theorizing that timely provisions increase transparency and inhibit regulatory forbearance. This regulatory action mechanism expands on prior research that has focused on the effect of loan loss recognition on regulatory capital adequacy during economic downturns.     

Creating Value for Customers,Clients, Partners and Society: An Introduction to the Special Issue on Food Waste

ABSTRACT

Roughly one-third of edible food produced in the world is wasted, that is, it is never consumed by humans, despite the persistent demands for nutrition throughout the world. The American Marketing Association defines marketing as “…the activity, set of institutions, and processes for creating, communicating, delivering, and exchanging offerings that have value for customers, clients, partners, and society at large.” When it comes to food, an increasing number of these key stakeholders question how a global marketing system that routinely wastes a startling fraction of its product comports with “…value for customers, clients, partners, and society at large,” and whether the food marketing system can do more to sustainably convert scarce planetary resources into global nutrition. We introduce the articles in this special issue, which provide an intellectual and empirical basis for exploring how the global marketing system generates a substantial amount of food waste and how the food marketing system can do more to reduce the amount of wasted food.     

Withstanding financial crises: would trade partners help or hurt?

This article provides new empirical evidence on the losses of real activity caused by various financial shocks. Spillover effects due to foreign trade linkages deserve special attention. To this end, we estimate a modify auto-regressive process and a Seemingly Unrelated Regression Equations estimator is used to account for the dependency of one’s country growth on its trade-weighted partners growth. We run estimations on a set of currency collapses, banking crises and sovereign defaults in 49 advanced and developing countries from 1978 to 2011. The trade-weighted foreign demand effect mitigated the economic downturn following a banking or a sovereign debt crisis in all countries, while only the advanced ones benefited from it after a currency collapse. Trade-based spillover effects make banking crises more costly in the developing countries, in those that liberalize their financial account. It contrasts with what is observed during currency or sovereign debt crises.     

洪水灾害的风险特征及保险制度设计

随着经济社会的快速发展,洪水灾害带来的经济损失越来越严重。在厘清洪水灾害风险的高危险性、承载体的强脆弱性以及可保性的基础上,从洪水保险的风险主体、资金筹集、费率计算与调整、洪水保险的再保险制度4个方面设计洪水保险产品。洪水保险兼具时间和空间维度上的风险分担性,完善洪水保险相关立法、建立洪水保险组织机构、构建多元资金筹集体系、推进洪水保险风险证券化、强化洪水保险制度监管有助于推进洪水保险制度的设计与发展。     

浅谈电力通信光缆线路的防雷保护措施

通过描述雷电对光缆的危害,简要介绍了光缆线路的几种防雷措施。