The cost of Corporate Social Responsibility: the case of the Community Reinvestment Act

A Data Envelopment Analysis (DEA) cost minimization model is employed to estimate the cost to thrift institutions of achieving a rating of ‘outstanding’ under the anti-redlining Community Reinvestment Act, which is viewed as an act of voluntary Corporate Social Responsibility (CSR). There is no difference in overall cost efficiency between ‘outstanding’ and minimally compliant ‘satisfactory’ thrifts. However, the sources of cost inefficiency do differ, and an ‘outstanding’ rating involves annual extra cost of $6.547 million or, 1.2% of total costs. This added cost is the shadow price of CSR since it is not an explicit output or input in the DEA cost model. Before and after-tax rates of return are the same for the ‘outstanding’ and ‘satisfactory’ thrifts, which implies a recoupment of the extra cost. The findings are consistent with CSR as a management choice based on balancing marginal cost and marginal revenue. An incidental finding is that larger thrifts are less efficient.

我国城市经济增长效率与城市化效率比较分析

利用数据包络分析的曼奎斯特指数方法测算了2000-2008年我国248个城市的经济增长效率和城市化效率,比较分析了不同区域、不同等级城市的效率表现。研究发现,我国城市经济增长效率持续提高,但城市化长期处于低效率状态,严重滞后于经济增长;地级市两种效率的初始领先地位已逐渐被直辖市所取代;东部地区城市的效率表现优于其他地区,但不同等级城市之间差异较大,城市化严重滞后和轻微滞后的城市数量都比较多。认为通过合理的空间规划和产业引导,提高城市化效率、促进城市化与国民经济增长协调发展,是下一阶段城市发展要解决的关键问题。     

DEA evaluations of long- and short-run efficiencies of digital vs. physical product “dot com” companies

This paper applies Data Envelopment Analysis to determine relative efficiencies between internet dot com companies that produce only physical products and those that produce only digital products. To allow for the fact that the latter are relatively inexperienced, a distinction is made between long- and short-run efficiencies and inefficiencies, with a finding of no statistically significant difference in the short run but digital product companies are significantly more efficient in the long run. A new way of distinguishing between long- and short-run performances is utilized that avoids the need for identifying the time periods associated with long-run vs. short-run efficiencies and inefficiencies. In place of “time,” this paper utilizes differences in the “properties” that economic theory associates with long- and short-run performances.     

Credit-based early warning indicators of banking crises in emerging markets

This article explores the role of credit-based variables as early warning indicators (EWIs) of banking crises in the context of emerging economies. We collect data on bank and total credit to the private sector in emerging markets and evaluate the signalling performance by using the area under the receiver operating characteristics (ROC) curve (AUC). Our results show that nominal credit growth and the change in the credit-to-GDP ratio have the best signalling properties and significantly outperform the credit-to-GDP gap in almost all specifications for policy-relevant horizons. These findings are in stark contrast with the results on advanced economies, where the credit-to-GDP gap is the single best performing EWI. Our results emphasize the importance of caution when applying statistical methods calibrated for advanced markets to emerging economies.     

COVID-19 crisis and the efficiency of Indian banks: Have they weathered the storm?

The purpose of this study is to determine whether Indian banks were able to weather the COVID-19 storm. We estimate banks’ deposits-generating and operating efficiencies using a two-stage directional distance function-based network data envelopment analysis (DDF-NDEA) approach and seek to capture the immediate impact of COVID-19 on these efficiency measures by comparing their magnitudes in the pre-pandemic (2014/15–2019/20), just 1-year prior to the pandemic (2019/20), and during the pandemic year (2020/21) periods. The study looks at whether the impact of the COVID-19 pandemic was uniform across ownership types and size classes. The empirical findings suggest that the Indian banking system was resilient and withstood the immediate impact of the COVID-19 pandemic. During the study period, however, the large and medium-sized banks experienced some efficiency losses. By and large, regardless of bank group, banks have shown resilience to the shock of the global health pandemic and improvements in efficiency.     

Does bank capitalization matter for bank stock returns?

We examine US bank capitalization and its association with bank stock returns, and find that the book- and market-based capital ratios show different patterns. Fama-MacBeth regressions and portfolio analyses suggest that banks’ market-based capital ratios are negatively associated with banks’ stock returns during the (tranquil) 1994–2007 period while book-based capital ratios are positively associated with banks’ stock returns during the (turbulent) 2008–2014 period. These results suggest that the effect of bank capitalization on bank stock returns depends on the capital measure used and the period considered.     

The effect of raising deposit insurance coverage in times of financial crisis – Evidence from Croatian microdata

Typically, depositors in transition countries react very sensitively to the safety of deposits. Faced with rising deposit outflows in October 2008, many transition countries were forced to extend the limits of deposit insurance coverage. Has this calmed private agents? Or has it caused more uncertainty? We analyze these questions by employing household survey data for Croatia from exactly the time deposit insurance was extended. First, we provide evidence how the financial crisis has affected trust in banks and trust in the local currency. Then, we show that the increase in deposit insurance coverage had an immediate and positive impact on how people perceived the safety of deposits and the credibility of the local currency. Therefore, our results suggest that this policy measure helped to prevent a more serious and dangerous meltdown of deposits and a further shift towards foreign currency denominated assets. However, despite this effect the perceived safety of deposits remained lower than it was before the financial crisis. We also consider this finding to be of relevance for other countries of Central, Eastern and Southeastern Europe.     

基于数据包络方法的2010年会计师事务所经营效率分析

本文运用数据包络分析方法中基于输入的CCR模型和BCC模型,对2010年会计师事务所的主要投入产出数据进行效率分析,从整体上分析目前我国会计师事务所的运营效率。通过研究发现,一部分会计师事务所已经达到规模效益,但是还有很多会计师事务所在技术和规模上都没有达到理想的水平,在经营效率上还需要很大的改进。     

基于DEA模型的我国轻工业经营效率研究

运用DEA模型对我国31个省区市轻工业的经营效率进行了实证研究和分析,结果表明,大部分省份轻工业的经营效率是非DEA有效的,尤其是沿海发达地区的轻工业大省。针对此现象进行了深入分析,并提出了相应的对策。     

Notes on Sensitivity and Stability of the Classifications of Returns to Scale in Data Envelopment Analysis

As its title suggests, this note constitutes a critique of the paper by Seiford and Zhu (1999), Sensitivity and Stability of the Classifications of Returns to Scale (RTS) in Data Envelopment Analysis. By means of counter examples, we discuss some problems related to results presented in that paper.     

含有中间变量的农村信用社可持续经营效率评价

本文借助含有中间变量的两阶段DEA评价方法对陕西省涉农地区不同信用社的可持续经营效率进行了评价。得出了大部分涉农地区基层信用社存在存款严重不足、发放贷款效率比吸收存款效率高、非利息支出过多、非利息收入不足等结论。     

基于DEA模型的城市科技活动效率评价

将DEA理论应用于广东21城市科技活动的分析中，建立评价城市科技活动效率的数据包络分析模型，谊模型评价了各城市的总体效率和技术效率的状况，进而对非DEA有效的城市提出达到DEA有效的可行措施，并分析了城市科技活动效率和资源配置之间的关系。     

基于不同DEA模型的组合评价方法研究

为了解决传统CCR模型不能对决策单元进行充分排序的难题,介绍了四种DEA模型,包括自评型、竞争型、合作型、竞合型DEA。分析每种模型的功能与现实意义,由于单独使用每种模型评价决策单元效率都存在一定的片面性,因此本文采用熵值法来确定四种方法的权重,综合考虑不同DEA模型的评价结论,从而能够对决策单元进行充分排序。文末通过一个算例来证明方法的有效性。