双维市场导向、本地网络嵌入与海外人才在华创业绩效研究

基于战略导向理论,从市场导向视角就反应型市场导向和积极型市场导向对海外人才在华创业企业创业生存绩效和创业成长绩效的影响进行研究,结合跨国创业企业的网络嵌入特征,研究本地网络嵌入的权变调节作用。通过对214家海外人才在华创业企业样本的实证研究发现,反应型市场导向和积极型市场导向对创业生存绩效和创业成长绩效均有显著正向影响,但相对于积极型市场导向,反应型市场导向对创业生存绩效的影响更加显著。同时,研究还表明,本地网络嵌入能够增强市场导向与创业绩效的作用关系,在其中起正向调节作用。研究结论表明,市场导向是跨国创业的有效战略选择,本地网路嵌入是市场导向发挥绩效作用的边界条件。     

黄河中游地区农耕文明的生存景观

人类生存与景观紧密相连,农耕文明的演进与人类生存的变迁,留下了丰富的生存景观.在当前城市化进程与新农村建设迅速发展的时代条件下,农耕时代将一去不复返,农耕文化也受到前所未有的冲击.因此,农耕文明生存景观作为人类历史的见证显得尤为珍贵.本文立足于黄河中游晋陕峡谷地区,以黄土高原村落环境为承载探讨生存与景观.     

浅析干旱山区窖藏苗木雨季造林技术及管理

介绍了窖藏苗木的技术要点和造林时间选择,造林后的管理,探讨了用窖藏苗木造林的效果。结果表明,用窖藏苗木的方法造林可延长造林时间50d左右;与未窖藏苗木相比,窖藏林造林成活率提高4％～6％,保存率提高3％～4％。     

The length of stay of golf tourism: A survival analysis

This study analyses the length of stay of golf tourists in the Algarve, on the southern coast of Portugal. The analysis employs a questionnaire to ascertain the significant characteristics influencing the length of stay of golf tourists. A survival model is used to analyse which characteristics are associated with the length of stay, taking into account the uncontrolled heterogeneity of the data. Robustness tests are implemented and policy implications are derived for improving the understanding and management of the length of stay of heterogeneous tourists.     

基于双栏模型亳清河区域休闲农地存在价值评估

研究目的:评估亳清河区域休闲农地存在价值。研究方法:采用双边界两分式条件价值评估法的双栏模型,以零观察值产生原因区分受访者真实和抗议性经济行为;借助生存模型较精确地得到休闲农地存在价值。研究结果:(1)通过对比参与决策和支付决策的结果,文中所选8个属性变量在两阶段中的作用存在显著差异;(2)由生存模型得出研究区居民的平均支付意愿为134.95元/(人·年),总价值为2.70×10~7元/年。研究结论:通过双栏模型和生存模型能够较精确地得到影响居民支付意愿的主要因素以及休闲农地的存在价值,为政府针对性的提高农户保护休闲农地的积极性供科学依据。     

Exit and transition: Exploring the survival status of Airbnb listings in a time of professionalization

This study analyzes the survival status of shared and non-shared listings in the peer-to-peer accommodation market. Using a large data set from Airbnb in Beijing, we identify 8640 shared listings and 50,741 non-shared listings. We then investigate the exit event and the identity transition event for both types of listings by applying a discrete-time hazard model. Our results suggest that, for the exit event, the two types of listings show significant differences in terms of survival determinants, including response time, tourism specialization, market volume, professionalization, and Covid-19. For the identity transition event, we find that internal flow exists in the market, mainly from shared listings to non-shared listings, and this flow is influenced by certain factors (i.e., capacity, facility, rating, reviews, minimum stay, service quality, tourism specialization, market volume, platform professionalization, and Covid-19).     

Modeling the flight departure delay using survival analysis in South Korea

The air transportation industry in South Korea has been growing since the 2000s. Although the number of air passengers has continuously increased, the flight delay rate has fluctuated from year to year. In this study, a survival analysis was conducted to compare each flight delay in terms of airport/time slot and to evaluate the actual impacts of major variables on flight delays. We performed multiple analyses using survival analysis methodologies, including the Kaplan–Meier estimator, log-rank test, and Cox proportional hazards model. In particular, we applied a turnaround buffer as a key variable in Cox proportional hazards model analysis. The survival curve showed that more international flights departed earlier than scheduled or with minimal delay than domestic flights. However, international flights tended to have more long-term delays. The log-rank test indicated that international flights had a wider distribution of delay times than domestic flights. In the Cox proportional hazards analysis, under the condition in which the actual flight turnaround time was less than 120 min, the results indicated that the longer the actual turnaround buffer was, the less frequently the delays occurred. By using these analyses, we could numerically verify the actual delay trends in South Korea. The results can be used as fundamental resources for political and economic decision-making processes in the aviation industry.     

Does inflation kill? Exposure to food inflation and child mortality

Unlike extreme malnutrition shocks, such as famine and drought which grab the attention of the media, international aid organizations and policymakers, malnutrition due to food price hikes are often neglected and their impacts on children are not well known. It is well established that malnutrition during the critical periods of early life – between conception and the first 1000 days after birth – has lasting consequences on health and mortality. In this paper, using a uniquely constructed data from Ethiopia that takes advantage of high-frequency local retail food prices, we examine the impact of early life exposure to food price inflation on child mortality. Following survival events since conception, we estimate the causal impact of exposure to inflation during in-utero and infancy. The results show that exposure to a 10 percent inflation in staple food prices during in-utero decreases the survival of children under the age of five by about 5.4 percent. We also find that the impacts are non-linear depending on the specific month of exposure and substantially vary by observable characteristics and the type of staple food.     

The survival probability of the SABR model: asymptotics and application

The stochastic-alpha-beta-rho (SABR) model is widely used by practitioners in interest rate and foreign exchange markets. The probability of hitting zero sheds light on the arbitrage-free small strike implied volatility of the SABR model (see, e.g. De Marco et al. [SIAM J. Financ. Math., 2017, 8(1), 709–737], Gulisashvili [Int. J. Theor. Appl. Financ., 2015, 18, 1550013], Gulisashvili et al. [Mass at zero in the uncorrelated SABR modeland implied volatility asymptotics, 2016b]), and the survival probability is also closely related to binary knock-out options. Besides, the study of the survival probability is mathematically challenging. This paper provides novel asymptotic formulas for the survival probability of the SABR model as well as error estimates. The formulas give the probability that the forward price does not hit a nonnegative lower boundary before a fixed time horizon.     

全球价值双环流下中国ICT民族企业“走下去”能力影响因素研究

基于中国处于国际分工枢纽地位，从国家—企业特定优势二维视角探讨中国OFDI民族企业“走下去”能力的影响机理，重点关注不同环流的路径选择，并以2005—2015年ICT行业70家中国上市企业为样本，设定企业“走下去”能力综合量化指标，对理论假设进行实证检验。结果表明，以行业GVC地位指数测度的东道国特定优势提升将有助于中国ICT企业生存能力提高，尤其是对选择进入下环流国家及位于产业链下游企业长期生存能力的正向影响更加显著；母国地区差异性及2008年金融危机冲击得以证实，珠三角地区和金融危机前“走出去”的企业更加能够受益于东道国行业GVC地位提升，继而提升企业长期生存能力。