乡村旅游核心利益相关者协调发展评价研究——以青海省海东市互助土族自治县小庄村为例

文章基于利益相关者理论的视角，选取青海省海东市互助县小庄村为案例地，通过田野调查和文献梳理分析出核心利益相关者的利益诉求和矛盾冲突，并构建乡村旅游核心利益相关者协调发展评价体系，采用EWM-Fuzzy综合评价模型和灰色关联模型对地方政府、旅游企业、社区居民及外来游客四类核心利益相关者利益诉求的紧急程度、利益关系协调发展状态及整体协调发展关系进行测评分析。研究表明，小庄村四类核心利益相关者对不同利益诉求的整体感知较好，不同利益诉求的紧急程度和协调发展状态均存在如下较大差异:四类核心利益相关者的利益诉求主要处于中度协调和轻度协调两种发展状态，优质协调发展状态的利益诉求表现相对较少，且存在濒临失调发展状态的利益诉求表现；小庄村旅游核心利益相关者相互间的协调发展关系呈现出多元化的发展状态，地方政府、旅游企业同其他利益相关者的利益关系协调发展的影响大小顺序完全一致，地方政府、社区居民同其他利益相关者的利益关系协调发展的影响大小顺序相对应，而外来游客、社区居民同其他利益相关者的利益关系协调发展的影响大小顺序基本相反；小庄村旅游核心利益相关者协调发展路径组合未达到纳什均衡状态，其协调发展模式为非对称互惠协调发展模式。上述验证结果与小庄村旅游发展的实际情况基本吻合，证明了评价体系的科学性。     

高分1号冬小麦解译面积核算方法研究

[目的]以高分1号(GF-1)融合2m卫星遥感影像为基础数据源,结合土地利用现状数据、高分多源遥感影像和地面样方等数据,对冬小麦分类提取中存在的面积误差问题进行研究和分析。[方法]文章以河南省永城市为研究区,在冬小麦提取结果聚类处理基础上,基于线性地物缓冲区数据,采用GIS空间运算实现线性地物面积扣除,接着分析了样方数据和土地利用现状数据再扣除零星地物面积比例上的差异,并采用样方零星地物平均扣除系数对全市各乡镇耕地与非耕地中冬小麦提取面积进行了相关统计和误差分析。[结果]永城市冬小麦最终解译面积11. 29万hm~2,其中线性地物和零星地物扣除面积分别为6 613. 08hm~2和3 875. 22hm~2,占研究区冬小麦解译面积的5. 86%和3. 32%,与统计上报数据相比,其处理前后误差由14. 12%降低至4. 41%,有效地提高冬小麦提取面积精度。[结论]误差来源分析与修正对冬小麦解译面积核算精度具有重要影响,该研究为县级区域尺度下冬小麦面积提取核算提供了思路和借鉴。     

A Real Options Model of Real Estate Development with Entitlement Risk

Most development projects encounter a highly uncertain entitlement process that is largely uncontrollable by developers. In this study, entitlement is modeled as a separate stage within a compound real option, where developers begin with minimal control (maximum risk) and each successful stage increases control (decreases risk). We solve the model analytically, provide three‐dimensional numerical comparisons, and empirically test the model's predictions using hand collected rezoning petitions. Our main result refines the classic development option model: developers first invest early (secure entitlements) in order to obtain the option to subsequently delay investment (construct the optimal building at the optimal time).     

Migration,Ethnicity and Solidarity: ‘Multinational Workers’ in the Former Soviet Union

We investigate migrant construction workers’ experiences in the Former Soviet Union, examining their attitudes to other ethno-national groups, unions and collective action. Industrial relations and migration studies view migrant workers’ hypermobility and diversity, under conditions of low union coverage and rising nationalism, as potentially obstructing consciousness-raising and mobilizing. Workers in our study faced union indifference, ethno-national segregation and discrimination. However, managerial abuses, informality and contestation from below led to spontaneous mobilization. Lack of institutional channels to solve these disputes drove workers’ further mobility. Complex mobility trajectories and collective action translated into increased awareness of collective interests and rejection of nationalist ideologies. The outcome is ‘multinational workers’ potentially resistant to nation-state politics and capital's logics but also aware of the value and usefulness of collective solidarities. Thus, previous arguments solely associating exit with individualistic attitudes, and post-socialist legacies with workers’ quiescence present only partial pictures.     

A Note on a Framework for Valuation Ratios Based on Fundamentals*

Valuation ratios divide stock price by accounting metrics such as earnings, earnings growth, and book value. This study adapts the general valuation framework in Ohlson and Juettner-Nauroth (2005) and Ohlson (2005) to present a unified approach for developing valuation ratios based on fundamentals, referred to as fundamental valuation ratios. One starts with a valuation model that is driven by an accounting metric a and its abnormal growth, then divides the valuation model by a to get a fundamental valuation ratio. For any valuation ratio, one can find a corresponding fundamental valuation ratio, as long as the valuation model is based on the same metric a as the valuation ratio denominator.     

Information flows and crashes in dynamic social networks

We develop a dynamic model of information transmission and aggregation in social networks in which continued membership in the network is contingent on the accuracy of opinions. Agents have opinions about a state of the world and form links to others in a directed fashion probabilistically. Agents update their opinions by averaging those of their connections, weighted by how long their connections have been in the system. Agents survive or die based on how far their opinions are from the true state. In contrast to the results in the extant literature on DeGroot learning, we show through simulations that for some parameterizations the model cycles stochastically between periods of high connectivity, in which agents arrive at a consensus opinion close to the state, and periods of low connectivity, in which agents’ opinions are widely dispersed.

     

Childhood adversity and the propensity for entrepreneurship: A quasi-experimental study of the Great Chinese Famine

Studies on the determinants of entrepreneurship emphasize that challenged adults tend to become entrepreneurs. However, research has not addressed the childhood origins surrounding the propensity for entrepreneurship. This article links childhood adversity to the propensity of individuals to become migrant entrepreneurs later in life. We test hypotheses derived from this theory in the context of whether, and when, children who survived the Great Chinese Famine of 1959–1961 became migrant entrepreneurs. Results strongly indicate that those who survived greater hardship during the Famine are more likely to become entrepreneurs, especially when they were younger during the famine years. We also find that being younger at the time of migration increased the likelihood of becoming entrepreneurs in their new locale. Overall, this study casts light on why, how and when childhood adversity shapes the propensity for entrepreneurship.     

An Empirical Analysis of Green Experiential Loyalty: A Case Study

The purpose of this study is to elaborate the structural relationships among the experiential quality dimensions, experiential trust, emotional attachment, experiential image, switching experience, experiential satisfaction, and experiential loyalty from the green perspective. The study findings are based on structural equation modeling (SEM) analysis of a convenience sample of 560 customers at one green restaurant in Taipei City, Taiwan. The findings show that investing resources in an increase in the experiential quality dimensions and a decrease in green switching experience is useful to enhance green experiential trust, green emotional attachment, green experiential image, green experiential satisfaction, and green experiential loyalty.     

PITFALLS IN CROSS‐SECTION STUDIES WITH INTEGRATED REGRESSORS: A SURVEY AND NEW DEVELOPMENTS

In cross‐section studies, if the dependent variable is I(0) but the regressor is I(1), the true slope must be zero in the resulting “unbalanced regression.” A spuriously significant relationship may be found in large cross‐sections, however, if the integrated regressor is related to a stationary variable that enters the DGP but is omitted from the regression. The solution is to search for the related stationary variable, in some cases the first difference of the integrated regressor, in other cases, a categorical variable that can take on limited number of values which depend on the integrated variable. We present an extensive survey, new developments, and applications particularly in finance.