川西北高原藏区农村贫困化分异机制探测

[目的]客观揭示农村贫困化地域分异机制,为科学推进川西北高原藏区精准扶贫创新途径、综合战略和认真贯彻落实中央治藏方略提供参考依据。[方法]应用地理探测器模型、GIS空间分析与地统计方法等方法,探测川西北高原藏区贫困村单位面积GDP分异的主导因素,揭示农村贫困化分异机制,提出不同贫困化地域类型的扶贫政策措施。[结果]影响川西北高原藏区农村贫困化分异的主导因素包括到主要交通道路距离、归一化植被指数(NDVI)、土地利用、年均温度和海拔高程等,各因素对贫困村经济发展分异的解释力分别为80. 76%、12. 82%、8. 82%、5. 45%和3. 96%;贫困村经济发展贫困化的分异机制存在明显差异,可归纳为交通区位约束型、自然环境约束型和经济区位约束型等三大类型;农村贫困化驱动机制下的贫困村精准扶贫政策措施亟需因地制宜、科学推进、讲求实效,有序推进精准扶贫战略。[结论]精准扶贫应分类指导、重点突破,尤其加强贫困村交通、水利、公共基础设施建设和特色农牧业产业培植,注重多种扶贫模式的综合集成。     

The failure of Chinese peer-to-peer lending platforms: Finance and politics

We investigate the influence of financial and political factors on peer-to-peer (P2P) platform failures in China's online lending market. Using a competing risk model for platform survival, we show that large platforms, platforms with listed firms as large shareholders, and platforms with better information disclosure were less likely to go bankrupt or run off (platform owners abscond with investor funds). More importantly, failing platforms were much less likely to run off in advance of major political events, but more likely to declare bankruptcy or run off after such events. These effects are more pronounced for politically connected platforms, platforms operating in provinces where local officials have close ties with central government, and in provinces with better local financial conditions. Our study highlights the role of political incentives on government regulatory intervention in platform failures.     

Is the system reliability profitable for retailing and consumer service of a dynamical system under cross-price elasticity of demand?

Retailing strategy is one of the most crucial factors for industries. A proper retailing strategy can help to enhance consumer service and increase the industry's profit. An improved approach to retailing is suggested in this research to deliver superior customer service while maximizing profits in a dynamic system. The study analyzes a retailing strategy for a demand with cross-price elasticity upon the retail price. A product's cross-price elasticity and the system reliability are critical factors in retailing. Understanding the cross-price elasticity of demand between products helps retailers to make pricing decisions that maximize profits by maintaining demand. Imperfect products are produced due to an imperfect production system. The imperfect ones must be adjusted with some costs to make them perfect for better retailing. The system failure rate is crucial for retailing under cross-price elasticity of demand patterns. Production system reliability, cross-price elasticity of demand, and consumer service are all essential factors that can impact a company's success in the market. The production rate is considered time- and system failure rate-dependent. Contradictory to the literature, a dynamical system is proposed for improved retail management, which is solved using the Euler-Lagrange theory. Finally, one can achieve the expected maximum profit for this retail system with optimum selling prices for different products by reducing the system failure rate. Some numerical illustrations with graphical representations are provided to validate the current study. Numerical examples show that applying cross-price elasticity of demand for more than two identical products provides 35% more profit for the retail industry than a single type of product.     

基于灰色理论的中国人口空间分布模式预测

运用灰色理论对我国各个省市未来人口总量进行预测,并应用GIS的空间自相关理论和方法对未来人口空间分布模式做出预测。研究认为,从2005年到2020年中:北京、天津、江苏、上海、浙江等省市始终保持与周围省市人口密度的高高关联关系,围绕这些省市的省份区域形成了相对人口聚集区域,西部许多省份及东北几省与周围的省份人口密度是维持着低低关联模式。广东省始终保持与周围省市人口密度的高高关联关系,即本省只是单独形成了一个聚集点。2014年是我国人口空间分布格局变动较大的时期。     

The main paths of medical tourism: From transplantation to beautification

Medical tourism, combining the very polarized purposes of pleasurable travel and potentially stressful health care services, is an emergent and growing business worldwide. Medical tourism patients are willing to travel abroad to seek better quality, lower cost, domestically unavailable, no wait-time destinations for non-emergency medical care. There are numerous related studies in the academic literature that are substantiated with multidisciplinary and diverse backgrounds. This study uses the main path analysis, a unique quantitative and citation-based approach, to analyze the significant development trajectories, important literature, and recent active research areas in medical tourism. We find that there are two distinctive development paths: one path focuses more on the evolution of medical tourism, the motivation factors, marketing strategies, and economic analysis; the other path emphasizes organ transplant and related issues. These two paths eventually merge to a common node in the citation network, which foretells transplantation to beautification as the future research direction trend.     

Semiparametric estimation of multi-asset portfolio tail risk

When correlations between assets turn positive, multi-asset portfolios can become riskier than single assets. This article presents the estimation of tail risk at very high quantiles using a semiparametric estimator which is particularly suitable for portfolios with a large number of assets. The estimator captures simultaneously the information contained in each individual asset return that composes the portfolio, and the interrelation between assets. Noticeably, the accuracy of the estimates does not deteriorate when the number of assets in the portfolio increases. The implementation is as easy for a large number of assets as it is for a small number. We estimate the probability distribution of large losses for the American stock market considering portfolios with ten, fifty and one hundred assets of stocks with different market capitalization. In either case, the approximation for the portfolio tail risk is very accurate. We compare our results with well known benchmark models.     

Consumer experiences,attitude and behavioral intention toward online food delivery (OFD) services

Prior research has mostly examined consumer attitudes toward online services/retailing in general and a few researchers have addressed consumer experiences with online food delivery (OFD) services. The purpose of this study is to examine the structural relationship between convenience motivation, post-usage usefulness, hedonic motivation, price saving orientation, time saving orientation, prior online purchase experience, consumer attitude and behavioral intention towards OFD services. The study proposes an integrative theoretical research model based on the Contingency Framework and Extended Model of IT Continuance. 224 valid questionnaires were collected to empirically test the research model using the partial least square (PLS) path modeling approach. The results imply that the proposed hypotheses were supported, except for the relationship between prior online purchase experience and post-usage usefulness. Practical implications and limitations are discussed.     

Asset price targeting in an open economy with cognitive limitations: The best for macroeconomic and financial stability?

The choices of policy targets and the formation of agent expectations have been critical issues addressed by monetary policy management since the financial crisis of 2008. This paper evaluates macroeconomic stability in a new Keynesian open economy in which agents experience both cognitive limitations and asset market volatility. The (im)perfect credibility of various monetary policies (e.g., a Taylor-type rule with- or without asset price targeting, strict domestic inflation targeting, strict CPI inflation targeting, and exchange rate peg) may lead agents to react according to their expectation rules, and thus create various degrees of booms and busts in output and inflation. Simulations confirm that a Taylor-type CPI inflation targeting including an asset price target is the best choice. In contrast, the business cycles induced by Keynesian “animal spirits” are enhanced by strict inflation targeting. Furthermore, a credible exchange rate pegging system with an international reserve pooling arrangement can improve social welfare and stability in an open economy, even though its absolute value of the loss function is slightly lower than a Taylor-type CPI inflation targeting including an asset price target.     

The expected real yield and inflation components of the nominal yield curve

The term structure of real yields and expected inflation are two unobserved components of the nominal yield curve. The primary objectives of this study are to decompose nominal yields into their expected real yield and inflation components and to examine their behaviour using state-space and regime-switching frameworks. The dynamic yield-curve models capture three well-known latent factors – level, slope, and curvature – that accurately aggregate the information for the nominal yields and the expected real and inflation components for all maturities. The nominal yield curve is found to increase slightly with a slope of about 120 basis points, while the real yield curve slopes upward by about 20 basis points, and the expected inflation curve is virtually flat at slightly above 2 per cent. The regime-switching estimations reveal that the nominal yield, real yield and expected inflation curves have shifted down significantly since 1999.