The Goldilocks Solution: Exploring the Relationship between Trust and Participation in Resource Management within the New Zealand Commercial Rock Lobster Fishery

Our understanding of the role natural resource users, and the governing institutions they create, has grown considerably in recent years. At the same time, our understanding of the role of trust in human interactions continues to grow. We use the case of New Zealand rock lobster (jasus edwardsii and Jasus verrauxi) to ask the question “What is the role of trust in an individual's decision to participate in natural resource management institutions?” Using data from a survey of constituents of the commercial rock lobster fishery, our analysis shows an inverted “U” relationship between trust and participation. We suggest that this may be described as a “Goldilocks solution” in which having both too much and too little trust is problematic; but a healthy level of is “just right.” Theoretical and policy implications of these findings and directions for future research are explored.     

A Global Journey – Ancel Keys,the FAO,and the Rise of Transnational Heart Disease Epidemiology, 1949–1958

Few people have influenced western eating patterns in the twentieth and early twenty-first centuries as much as physiologist and epidemiologist Ancel Keys (1904–2004). Keys not only developed the K Ration for the United States military, but also advocated for diets that lowered blood cholesterol and famously discovered the health benefits of the Mediterranean diet in the 1950s and 1960s. Keys’ interest in the Mediterranean diet arose from his service on the United Nations (UN) Food and Agriculture Organization (FAO)-World Health Organization (WHO) Joint Expert Committee on Nutrition, which allowed him to explore nutritional status, dietary habits, and regional eating patterns across the globe. This paper examines how Keys’ service as chair of the UN FAO Committee on Caloric Requirements and the UN FAO Expert Committee on Nutrition led him to think globally about the relationship between diet and cardiovascular health, and to launch the first international comparative epidemiological study of diet and heart disease, the Seven Countries Study.     

EXITS FROM HOMEOWNERSHIP: THE EFFECTS OF RACE,ETHNICITY, AND INCOME*

ABSTRACT This paper examines the extent to which populations experiencing low homeownership rates in the U.S. also experience high homeownership exit rates. We determine whether low‐income Hispanic and black households that achieve homeownership are as likely as white and high‐income households to sustain it. Using the Panel Study of Income Dynamics spanning the years 1970–2005, we find that low‐income homeowners consistently have higher homeownership exit rates, Hispanic households have higher raw exit rates prior to but not subsequent to 1997, and a black/white sustainability gap appears to arise post‐1997.     

A Hierarchy of Geographies: A Skinnerian Model of Indochina’s Overseas Chinese Congrégations and Their Influence on French Colonialism

In Indochina, overseas Chinese were organized by dialect group into associations called congregations, which shared many of the functions of huiguan in China. The spread of overseas Chinese economic and social networks followed a Skinnerian model in which large urban con?régations wielded more political and economic authority than did smaller, rural con?régations. By examining the impacts of French colonialism upon overseas Chinese networks within Indochina and upon overseas connections with their Chinese native places, this paper proposes that the Skinnerian model of local-system hierarchy fits quite comfortably when applied to the world of French colonial Indochina and its overseas Chinese. Furthermore, it argues that French colonialism actually reinforced the Skinnerian hierarchy of politics and markets in ways that endured long after the collapse of Imperial China.     

BAYESIAN MODEL AVERAGING IN THE CONTEXT OF SPATIAL HEDONIC PRICING: AN APPLICATION TO FARMLAND VALUES

ABSTRACT Specification uncertainty arises in spatial hedonic pricing models because economic theory provides no guide in choosing the spatial weighting matrix and explanatory variables. Our objective in this paper is to investigate whether we can resolve uncertainty in the application of a spatial hedonic pricing model. We employ Bayesian Model Averaging in combination with Markov Chain, Monte Carlo Model Composition. The proposed methodology provides inclusion probabilities for explanatory variables and weighting matrices. These probabilities provide a clear indication of which explanatory variables and weighting matrices are most relevant, but they are case specific.     

Developing Spatial Weight Matrices for Incorporation into Multiple Linear Regression Models: An Example Using Grizzly Bear Body Size and Environmental Predictor Variables

In this study, we develop spatial autoregressive (SAR) models relating grizzly bear body length to environmental predictor variables in the Alberta Rocky Mountains. We examine the ability of several different spatial neighborhoods to model spatial dependence and compare the estimated parameters and residuals from a standard linear regression model (LRM) with those from three types of SAR models: error, lag, and Durbin. Further, we examine variable selection in the presence of negative dependence by repeating the modeling process using a SAR model. Two findings are that significant negative spatial dependence was present in the residuals of the LRM and that the choice of spatial neighborhood greatly affects the ability to detect spatial dependence. The incorporation of appropriate spatial weights into SAR models improves the fit and increases the significance of the parameter estimates vis‐à‐vis the linear model. The results of this study indicate that negative dependence may not have as severe negative effects on variable selection and parameter estimation as positive dependence. An examination of spatial dependence in regression modeling appears to be an important means of exploring the appropriateness of a sampling framework, predictor variables, and model form. En este estudio desarrollamos modelos espaciales autorregresivos (SAR) que vinculan la longitud del cuerpo de osos grizzli con variables predictivas ambientales en las montañas rocosas de Alberta, Canadá. Examinamos la capacidad de varias vecindades espaciales para modelar la dependencia espacial y la comparación de los parámetros estimados, así como los residuos de un modelo de regresión lineal estándar (LRM) versus tres tipos de modelos SAR: error, retraso (lag) y Durbin. Además, se examina la selección de variables en la presencia de dependencia negativa mediante la repetición del proceso de modelado con un modelo de SAR. El estudio concluye que: 1) existe dependencia espacial negativa significativa en los residuos de la LRM y; 2) la selección de la vecindad espacial afecta en gran medida la capacidad de detectar la dependencia espacial. La incorporación de ponderaciones espaciales correspondientes a los modelos SAR mejora el ajuste y aumenta la importancia de los parámetros estimados versus el modelo lineal. Los resultados de este estudio indican que la dependencia negativa puede no tener los graves efectos negativos en la selección de variables y la estimación de parámetros si se comparan dichos efectos con = la dependencia positiva. Los autores recomiendan un examen de la dependencia espacial en modelos de regresión como medio importante para explorar la conveniencia de un marco de muestreo, de variables de predicción, y de la forma del modelo. 本文构建了阿尔伯达省落基山脉地区的灰熊体态大小与环境预测变量之间的空间自回归模型（SAR）,检验了几种以不同空间邻域矩阵拟合变量的空间相关性,并比较了标准回归模型(LRM)与几种不同类型的SAR模型（空间残差模型、空间滞后模型和空间杜宾模型）的估计参数和残差大小。进而利用一种SAR模型重复模拟过程,进一步测试变量选择对负相关性存在的影响。研究表明,显著的空间负相关存在于LRM的残差中,且空间邻域权重的选择很大程度上影响模型空间相关性的探测能力。将适当的空间权重引入SAR模型中可提高拟合精度,增加相对于线性模型参数估计的显著性。研究结果表明,负相关性在变量选择和参数估计上严重负影响的程度不如正相关性强。回归模型中空间相关性检验似乎是采样结构、预测变量和模型形式适用性分析的一个重要途径。     

Of Palaces and Pagodas: Palatial Symbolism in the Buddhist Architecture of Early Medieval China

This paper is an inquiry into possible motivations for representing timber-frame architecture in the Buddhist context. By comparing the architectural language of early Buddhist narrative panels and cave temples rendered in stone, I suggest that architectural representation was employed in both masonry and timber to create symbolically charged worship spaces. The replication and multiplication of palace forms on cave walls, in “pagodas” (futu 浮圖, fotu 佛圖, or ta 塔), and as the crowning element of free-standing pillars reflect a common desire to express and harness divine power, a desire that resulted in a wide variety of mountainous monuments in China. Finally, I provide evidence to suggest that the towering Buddhist monuments of early medieval China are linked morphologically and symbolically to the towering temples of South Asia through the use of both palace forms and sacred ma alas as a means to express the divine power and expansive presence of the Buddha.