Operational risk quantified with spectral risk measures: a refined closed-form approximation

The quantification of operational risk has become an important issue as a result of the new capital charges required by the Basel Capital Accord (Basel II) to cover the potential losses of this type of risk. In this paper, we investigate second-order approximation of operational risk quantified with spectral risk measures (OpSRMs) within the theory of second-order regular variation (2RV) and second-order subexponentiality. The result shows that asymptotically two cases (the fast convergence case and the slow convergence) arise depending on the range of the second-order parameter. We also show that the second-order approximation under 2RV is asymptotically equivalent to the slow convergence case. A number of Monte Carlo simulations for a range of empirically relevant frequency and severity distributions are employed to illustrate the performance of our second-order results. The simulation results indicate that our second-order approximations tend to reduce the estimation errors to a great degree, especially for the fast convergence case, and are able to capture the sub-extremal behavior of OpSRMs better than the first-order approximation. Our asymptotic results have implications for the regulation of financial institutions, and may provide further insights into the measurement and management of operational risk.     

A Multicriteria Approach for Modeling Small Enterprise Credit Rating: Evidence from China

ABSTRACT

As the engine of China’s economy, small enterprises have been the central to the country’s economic development. However, given the characteristics of the small enterprises loan (i.e., short borrowing period, large volume, small amount and incomplete information), it is extremely challenging for financial institutions to assess their creditworthiness. Thus, it seriously delays and restricts the financing access for small enterprises. In an attempt to relieve the financing difficulty of small enterprises, this article makes use of 687 small wholesale and retail enterprises in a regional commercial bank in China, to establish a credit rating indicator system composed of 17 indicators by using both partial correlation analysis and probit regression. It then utilizes TOPSIS together with fuzzy C-means to score the credit ratings of our sample of small enterprises. With the dual test of default discrimination and ROC curve, the prediction accuracy of the established indicator system has reached 80.10% and 0.917, respectively, indicating the robustness and validity of our credit rating system.     

Foreign direct investment subsidy in a dynamic stochastic general equilibrium model with heterogeneous firms

This study analyzes the macroeconomic impacts of subsidies to attract multinational corporations when firms are determining whether to enter or how to serve foreign markets. We show that a small FDI subsidy scheme induces consumption gains and delivers short‐term welfare improvement for the FDI host country if firms differ in productivity. However, the subsidy generates a new problem and results in the wealth reallocation effect, leading to welfare deterioration for the host country in the long run. Moreover, we find that a subsidy program induces a welfare improvement for the host country if it is offered to all domestic producers instead of foreign producers only in the host country.     

互联网金融规制与市场有效性改善*——来自中国网络借贷行业的证据

中国的互联网金融经历了一个先创新发展后监管规制的过程，本文通过对网络借贷行业的实证研究，分析监管规则的出台实施对新型互联网融资市场有效性的影响。实证结果表明，网络借贷平台资金的银行存管、持有ICP证等强制性规定缓解了投资者、平台企业与借款人之间的信息不对称，对克服早期平台间通过竞相承诺高回报率来吸引投资者导致的“柠檬市场”问题、对解决网贷市场上缺乏平台风险性高低有效信号的问题都起到了正向作用，有助于互联网融资市场的有效性提高。     

Modelling tourist flow association for tourism demand forecasting

The purpose of this study is to examine tourism demand for Singapore from 1995 to 2013 by six major origin countries which belong to three different regions. Unlike prior tourism research, we take into account the dependence relations among the different tourist flows via copula. Copula is a statistical model of dependence and measurement of association. Specifically, we investigate the association between two tourist flows in each region. Based on empirical copula estimation, the Frank function has been identified as the most appropriate to capture the pairwise dependence structures of tourist flows. The copula-based approach combined with econometric models is proposed for tourism demand analysis that can be used to predict tourist arrivals. We apply the copula-ARDL and copula-ECM frameworks to generate joint forecasts of tourist arrivals from three regions. The findings show that the forecast performance of the Frank copula-based model outperforms the benchmark model which corresponds to the independence structure (no association) of tourist flows.     

The role of top management team diversity in shaping the performance of business model innovation: a threshold effect

Business model innovation is one of the firm’s most important strategic decisions. Top management team (TMT), as the critical decision-makers, has essential influence upon such decisions. However, the role of TMT diversity in shaping the performance of business model innovation is less explored in the literature. Based on a sample dataset of 906 observations of small and medium enterprises from China Startups Stock Market during the period of 2009–2011, we find that TMT diversity exhibits a significant threshold effect on the relationship between business model innovation (in terms of novelty-centred and efficiency-centred business model) and firm performance. More specifically, when TMT functional diversity arrives at a certain level, the positive relationship between novelty-centred business model and firm performance becomes more pronounced. On the other hand, the positive relationship between efficiency-centred business model innovation and firm performance will be more significant when TMT tenure diversity increases to a certain level.     

改革开放40年持续性产业升级的动力机制与路径——广东迈向高质量发展之路

产业升级是高质量发展的主要目标及核心推力。通过分阶段观测广东改革开放40年产业转型升级进程发现，广东产业转型升级的演化轨迹是一条迈向高质量发展的产业跃升之路，贯穿其中的主线是持续性产业升级。生产要素供给、市场需求、技术创新、政府干预及制度安排等四大动因相互影响、相互作用，形成动态更迭比较优势、推动产业持续升级的耦合动力机制。在国际产业分工的背景下，适应不同的阶段特征及红利条件，通过比较优势的动态化调整，广东产业发展模式由低成本要素驱动、投资驱动向创新驱动转变。站在新时代的历史起点上，广东应以全面创新驱动作为产业转型升级的动力，加快数字经济与实体经济深度融合，抢占全球价值链高端，迈向一个更高质量的发展阶段。     

晋升激励、专业搭配与公共卫生服务满意度

提供高质量的公共卫生服务不但是现代政府的重要职责，也是国家治理能力的重要体现。随着中国经济发展进入新常态，干部考核评价机制不断完善，地方政府官员开始重视公共卫生等民生服务，同时，官员间专业搭配也成为影响民生服务质量的重要因素。文章将2013年中国综合社会调查数据与81个地级以上城市官员的相关信息进行匹配，将上任时年龄小于55岁的官员定义为"强晋升激励"官员，而将上任时年龄大于等于55岁的官员定义为"弱晋升激励"官员。研究发现：第一，具有"强晋升激励"的市委书记和市长都有助于改善城市公共卫生服务满意度。第二，在经济较发达、政府财力较雄厚和东部地区城市，官员晋升激励的积极效应更为明显。第三，在本研究样本中，市委书记和市长"经管—理工"的专业搭配模式是提高城市公共卫生服务满意度的积极因素。在考虑了测量偏误、地区异质性、遗漏变量、样本代表性问题，并经过安慰剂检验后，文章的主要结论依然保持稳健。本研究不但有助于我们更深入地理解中国城市间公共卫生服务质量的差距及其决定因素，而且也启发我们从改善官员治理的角度来提高公共卫生服务质量，以及应对突发性公共卫生事件的能力，从而有效推进中国经济健康可持续发展。     

基于主体功能定位的湖北省县域乡村性空间分异研究

[目的]确立与主体功能区定位相协调的乡村发展类型与乡村政策,是促进城乡融合、乡村振兴的重要措施。[方法]以湖北省县域为空间单元,构建乡村性评价指标体系,并基于三次产业的产值结构,划分县域的乡村发展类型。[结果](1)2016年湖北省县域乡村性指数相对较高,乡村性呈现出东低西高的空间分布格局。乡村发展类型可划分为农业主导型、工业主导型、商旅服务型和均衡发展型,分别占县域总数的25.29%、16.1%、10.71%和48.28%。(2)重点开发区的乡村类型以工业主导型和商旅服务型为主,乡村类型主要是城镇化和工业化带动,市场、资本推动力和农民的自主选择突出;农产品主产区和重点生态功能区的乡村类型均以农业主导型和均衡发展型为主,不同的是农产品主产区的农业自然和生产条件优越、农耕文化根植,农业政策扶植,乡村类型是由农业现代化和产业化推动;重点生态功能区乡村类型受资源环境约束、经济基础及行政干预的推动。[结论]三大主体功能区下的乡村类型及驱动机制存在差异,并提出不同乡村振兴发展的政策建议。     

服务业对外直接投资的出口效应——基于我国微观企业的研究

文章基于我国服务业上市企业数据，采用多维固定效应模型，探讨和分析了我国服务业OFDI对服务贸易出口的影响，经研究发现：第一，服务业OFDI通过吸收东道国先进技术经验提升企业生产率水平和避开东道国服务贸易壁垒降低贸易成本，促进企业服务贸易出口增长；第二，我国服务业OFDI显著提升了企业服务贸易出口的二元边际，具体而言，整体上服务业OFDI会促进服务贸易出口增长4.82%，同时会提升企业的出口概率；第三，我国服务业OFDI"出口效应"存在明显的区域和行业的异质性，具体表现为：生产性服务业和消费性服务业OFDI存在显著的"出口效应"，其OFDI带动服务贸易出口的增长分别为5.68%和3.52%，而公共服务业则不存在显著的"出口效应"；东部地区和中部地区服务业OFDI存在显著的"出口效应"，其OFDI带动区域服务贸易出口的增长分别为4.97%和3.56%，而西部地区则不存在显著的"出口效应"。上述研究结论对化解我国服务贸易出口增长困境和完善服务业对外直接投资政策机制具有一定的启示意义。