农民宅基地退出差异性受偿意愿及其影响因素分析

研究目的:宅基地退出工作能否顺利推进与退地补偿息息相关,研究宅基地退出中农民差异性受偿意愿及其影响因素,以服务决策。研究方法:基于重庆市890份农民实地调查数据,应用多元离散选择模型(Logit)进行定量研究。研究结果:(1)传统农区的农民更愿意选择货币补偿;城乡结合部(街道办)的农民更愿意选择安置补偿;农民修建补偿选择率总体偏低,区位差异并不明显;(2)农民货币受偿意愿影响因素主要包括受教育程度、家庭主要成员是否定居城镇、非农务工收入、新居住地适应性;(3)农民安置受偿意愿影响因素主要包括年龄、农房是否自住、退地补偿是否有截留、村基础设施状况;(4)农民修建受偿意愿影响因素主要包括农房造价、农房是否新建、退地补偿是否有截留;(5)影响农民受偿意愿的因素存在较大差异,同一因素可能对农民选择受偿意愿产生不同的影响,但没有一个自变量同时对三个因变量产生显著影响。研究结论:应针对农民受偿意愿差异及其影响因素,实行产异化的补偿措施,在经济发展相对滞后的传统地区,强化村落基础设施建设的同时,加大现金补偿力度。对于经济较为发达、区位条件较好的城乡结合部地区,应加大安置补偿力度,以保障退地农民的居住权。     

Transitions between equilibria in bilingual games under logit choice

We study the effect of introducing a bilingual option on the long run equilibrium outcome in a class of two-strategy coordination games with distinct payoff and risk dominant equilibria under the logit choice rule. Existing results show that in the class of two-strategy games under consideration, the inefficient risk dominant equilibrium is selected in the long run under noisy best response models. We show that if the cost of the bilingual option is sufficiently low then the efficient payoff dominant equilibrium will be selected in the long run under the logit choice rule.     

农户对农业生态环境退化认知的实证分析——基于安徽省402个农户的调查数据

利用安徽省7个县402个农户的调研数据,基于Logit模型实证分析了农户对农业生态环境退化问题的认知。实证结果表明:户主文化程度、环保意识、培训及农业信息的获取显著促进农户对农业生态环境退化问题的认知,但年龄则呈负向作用。因此,提高户主的文化程度,加强宣传以提高农户环境保护意识、拓展农户信息获取的渠道、建立健全可持续农业生产技术培训与推广机制等对提升农户对农业生态环境退化问题的认知、促进农村经济可持续发展具有基础性的作用。     

基于游客视角的生态旅游认证支付意愿实证分析

生态旅游认证产品能否取得商业上的成功取决于旅游消费者对它的接受程度,本文通过对浙江省4个景区的实地调查,分析了旅游消费者对生态旅游认证产品的认知和态度,并运用假设评价方法评估了旅游消费者对生态旅游认证产品的支付意愿.研究结果表明,旅游消费者对生态旅游认证产品的选择意愿受性别、教育程度、月收入、旅游频率、旅游方式、过去一年旅游花费、对生态旅游进行专门的认证并授予生态资格证书的赞同程度,以及未认证生态旅游产品的价格等因素的影响而差别显著;计算所得的支付意原表明,平均而言,旅游消费者愿意支付比未认证的生态旅游产品高35.1%的价格来购买通过认证的生态旅游产品.     

Closed-form Bayesian inferences for the logit model via polynomial expansions

Articles in Marketing and choice literatures have demonstrated the need for incorporating person-level heterogeneity into behavioral models (e.g., logit models for multiple binary outcomes as studied here). However, the logit likelihood extended with a population distribution of heterogeneity doesn’t yield closed-form inferences, and therefore numerical integration techniques are relied upon (e.g., MCMC methods). We present here an alternative, closed-form Bayesian inferences for the logit model, which we obtain by approximating the logit likelihood via a polynomial expansion, and then positing a distribution of heterogeneity from a flexible family that is now conjugate and integrable. For problems where the response coefficients are independent, choosing the Gamma distribution leads to rapidly convergent closed-form expansions; if there are correlations among the coefficients one can still obtain rapidly convergent closed-form expansions by positing a distribution of heterogeneity from a Multivariate Gamma distribution. The solution then comes from the moment generating function of the Multivariate Gamma distribution or in general from the multivariate heterogeneity distribution assumed. Closed-form Bayesian inferences, derivatives (useful for elasticity calculations), population distribution parameter estimates (useful for summarization) and starting values (useful for complicated algorithms) are hence directly available. Two simulation studies demonstrate the efficacy of our approach. JEL Classification C6 · C8 · M3     

Using stated response choice data to enrich revealed preference discrete choice models

There is growing interest in exploring the view that both revealed preference (RP) and stated preference (SP) data have useful information and that their integration will enrich the overall explanatory power of RP choice models. These two types of data have been independently used in the estimation of a wide variety of discrete choice applications in marketing. In order to combine the two data sources, each with independent choice outcomes, allowance must be made for their different scaling properties. The approach uses a full information maximum likelihood estimation procedure of the hierarchical logit form to obtain suitable scaling parameters to make one or more data sets comparable. We illustrate the advantages of the dual data strategy by comparing the results with those obtained from models estimated independently with RP and SP data. Data collected as part of a study of high speed rail is used to estimate a set of illustrative mode choice models.     

中国企业的出口市场选择：事实与解释

本文基于2000~2006年中国海关数据库企业 出口市场对的贸易数据,采用条件Logit模型考察中国企业出口市场选择的空间模式。结果表明,中国企业的出口市场选择受企业以往出口经验的影响,存在明显的路径依赖。企业倾向于选择与老出口市场地理邻近或文化相似的出口市场建立新贸易关系,尤其是与前者。其中,外资企业和加工贸易企业的出口市场选择更加依赖于新老出口市场间的各种相似性关系。这提醒我们,企业应充分利用自身的出口经验,尤其是成功的出口经验在相似出口市场间的溢出效应以加强新市场开拓的针对性和有效性,形成结构合理的贸易网络以稳定出口。     

中国制造业并购目标的财务特征及预测

并购目标的选择关系到并购事件的成败,制造业是中国经济的重要组成部分,也是并购发生最频繁的行业,识别制造业目标公司的财务特征并对其进行预测具有很大的理论及现实意义。以2013年中国A股市场制造业并购目标为研究对象,选取代表企业各方面能力的20个财务变量,通过单因素方差分析将其与股本规模类似的制造业非目标公司和非制造业并购目标进行比较,实证分析结果表明制造业目标公司具有负债水平高、收益水平低、每股获利能力强、现金短缺、股权集中度低等特点。另外,制造业目标公司和非制造业目标公司在财务特征上不存在显著差异。采用多重共线性诊断并构建Logit回归模型以预测制造业并购目标,模型总体准确率为70.4%,表明对制造业并购目标进行预测在很大程度上是可行的。     

城市家庭住房不平等:户籍、禀赋还是城市特征？——基于广义有序模型与Oaxaca-Blinder分解

基于中国劳动力动态调查（CLDS）数据，运用广义有序Logit模型实证分析户籍、家庭禀赋和城市特征三类因素对城市家庭住房不平等的影响；运用夏普利值分解、Oaxaca-Blinder分解区分"努力"和"环境"因素、户籍歧视和禀赋效应的贡献。研究发现：户籍可解释住房等级不平等的54.2%；"努力"因素对住房水平起正向作用；在户籍间住房等级不平等中户籍歧视效应占主导，在住房面积不平等中禀赋效应占主导，外地户口居民住房水平低源于"环境"因素趋弱，农业户口居民则源于"努力"和"环境"因素叠加趋弱；由于生活成本效应占主导，城市规模和流动人口占比越大，居民住房等级趋低，而城市土地供给增长有助于提升住房水平。     

Why do companies transfer the trading compartment of their common stocks

We analyze the motives and determinants of voluntarily stock exchange section switching on the NYSE Euronext. By strategically deciding trading-section transfer when it is beneficial, managers expect to reduce their liquidity and invisibility costs, cost of capital, or their listing costs. We show that managers decide to change the trading compartment of their common stocks based on various factors including firm's size, liquidity level, debt ratio, and expected growth opportunities. Firms that move voluntarily from a less or non regulated compartments to a more regulated one are likely to have transferred to increase their credibility, improve their stocks’ liquidity, re-balance their leverage, and to finance their growth opportunities. Whereas those that move their common stocks toward a less-regulated compartments do it mainly for costs saving reasons.