Estimating the impact of rural investments in Nepal

As a largely rural society, most people in Nepal still depend upon agriculture as their major livelihood strategy. Therefore, it is important to improve the allocation efficiency of limited public expenditures to promote agricultural growth and poverty reduction. However, evaluating the returns of public investment is limited by methodological challenges. We use hedonic and panel data methods to examine the returns to different types of rural public investments including roads, irrigation and extension advice. The use of diverse identification strategies reduces the risk of using a narrower set of results driven primarily by a particular methodology. We find that rural roads and irrigation are one of the most productive public expenditures according to the benefit-cost ratio calculations, though the magnitudes of these ratios depend on methodology.     

A decision analytic approach for technology portfolio prioritization: aviation safety applications

A decision analytic approach for evaluating new aviation safety products and technologies is developed and demonstrated to consolidate five existing program assessment metrics to develop a unified metric that simultaneously considers the relative importance and contribution of each. This allows for a meaningful and objective evaluation and comparison of the National Aeronautics and Space Administration (NASA) Aviation Safety Program (AvSP) advanced aeronautical products and technologies. The resulting decision model is referred to as the Composite Program Assessment Score (CPAS). The CPAS includes the five existing metrics; technical development risk, implementation risk, fatal accident rate reduction, safety benefits and cost, and safety risk reduction, which are each defined and quantified by different sources. The CPAS involves the scaling and combination of these individual metrics. In this paper, two alternative combinatorial modeling approaches to calculate the CPAS are presented. The weighted sum model and an additive value theory model are compared and contrasted. The resulting CPAS metrics allow an overall comparison of all 48 of the NASA AvSP products and technologies. Currently CPAS is based on preliminary weight measures from subject matter experts to reflect the relative importance of each metric. Actual case studies of both linear and non‐linear value functions are demonstrated.     

Marketing in the emerging era of build-to-order manufacturing

Build-to-order (BTO) and lean manufacturing processes are changing the paradigms under which businesses-to-business marketers operate. For example, BTO processes allow marketers to customize products to a greater degree, creating a competitive advantage over traditional manufacturing. Business-to-business (B2B) marketers who take advantage of the operational efficiencies and effectiveness that emerge from BTO are outperforming firms that utilize traditional manufacturing processes in multiple industries, such as office furniture, personal computers, and windows. This paper examines the long-term impact of the adoption of build-to-order manufacturing strategies on the marketing function and identifies marketing strategies associated with successful BTO companies. Throughout, the paper highlights managerial implications and proposes directions for future research.     

论贸易自由化对澳大利亚制造业中的横向、纵向行业内交易的影响

一、前言 尽管有大量的有关行业内贸易（IIT，即同时出口和进口类似的产品）现象的文献，但经验的结果是不一致的。除了变量度量的问题外，未能把IIT分成横向差异产品交易和纵向差异产品交易或许也是个起作用的因素。最普遍的IIT指数——格拉贝-劳埃德（GL）指数确实没有分清横向差异产品和纵向差异产品；尽管事实上理论已表明这两类产品的决定因素是不同的。这已在近年来的大量经验研究中得到了再证实。横向的IIT指的是特征或属性不同的类似产品的交易，而纵向IIT则是涉及质量不同的类似产品的交易。克鲁格曼（1980，1988）和兰开斯特（1980）已证明了横向IIT是受规模经济和偏好多样化影响的，而法尔维（1981）则证明了具备的生产要素决定纵向IIT。因此，IIT必须被分成横向差异产品交易和纵向差异产品交易并被分别建模。将这两者混淆可能产生矛盾的结果。     

Correcting the t statistic for measurement error

Studies in marketing often involve application of multi-item scales to measure latent constructs. Once the psychometric properties of a scale have been assessed, responses to individual scale items are often summed to form a composite score, which then is compared across groups by performing statistical tests such as a t test. In this note, we draw researchers?? attention to an often overlooked fact that the t test is attenuated by imperfect measures. As a solution, we propose the disattenuated t statistic and discuss how it would increase accuracy of estimates and affect decisions in the marketing discipline.     

Price Effects of Preferential Market Access: Caribbean Basin Initiative and the Apparel Sector

Preferential trade arrangements should be evaluated by theireffect on prices rather than by their effect on the total valueof trade. This point is emphasized in the theoretical literaturebut rarely implemented empirically. This article analyzes theU.S. Caribbean Basin Initiative’s (CBI’s) impacton the prices received by eligible apparel exporters. The CBI’sapparel preferences are the most important and heavily usedunilateral preferences because of high trade barriers imposedon exports from the rest of the world. A fixed-effects generalizedleast squares (GLS) estimation is used to isolate the effectsof other factors (such as quality, exchange rates, and transactioncosts) and to identify the effects of tariff preferences. CBIexporters capture only about two-thirds of their preferencemargin despite the high degree of competition among importers.This translates into a 9 percent increase in the relative pricesthey receive, with some variance across countries and years.Countries specializing in higher value items capture more ofthe preference margin, and the implementation of the North AmericanFree Trade Agreement (NAFTA) has a negative effect. RemovingMultifibre Arrangement quotas significantly lowers the benefitsof CBI preferences.