Dancing to the Donors' Tune? Policy Choice in Aid‐Dependent Countries

Current aid rhetoric emphasizes the selective allocation of otherwise unconditional funds in support of the recipients' own plans, in contrast to the old donor practice of bundling money and policies. I show that when recipients have private information, policies reflecting their preferences and knowledge might result in such a regime. However, generous transfers can also induce them to conform to the outcome‐oriented expectations of donors at the expense of lower aid impact. Such behaviour is consistent with an abundance of case‐study evidence. Moderate disagreements over what the optimal policy is could actually produce better results. Certain forms of both donor competition and coordination might also eliminate this distortion, while a donor concern for need only removes incentives for aid‐seeking in the least needy countries. In summary, optimal aid policies are highly context‐specific, and donors should thus concentrate their efforts to practise more informed selectivity.     

The role of dairy company policies in support of farm green infrastructure in the absence of government stewardship payments

Intensive dairy farming has substantial impacts on freshwater and terrestrial ecosystems. Determining how to mitigate them while increasing production is driving the quest for sustainable milk production internationally. Green infrastructure (G.I.) provides private and public ecosystem services, including mitigation of farming environmental impacts. However, there are implementation barriers among farmers. New Zealand government supports farmer self-regulation as long as farmers meet environmental targets. Farmers are neither compensated for reducing environmental impacts, nor for setting aside G.I. in support of nature conservation. Dairy companies are under increasing pressure to ensure socially acceptable milk production practices among farmer suppliers. They may play a role in encouraging farmers to implement G.I. as a way of helping farmers meet regulatory compliance, and best farming practice. Using a content analysis of company policies, the role of dairy companies in encouraging G.I. among farmers is explored. Results indicate companies are concerned about the effects, and perception, of poor environmental farming practices on their profitability, and have developed some riparian G.I. policies, with government and farmer support. However, policies are farm-focused and are limited to one year, and thus lack the capacity to encourage G.I. in support of key ecosystem services, such as water cleansing and support for indigenous biodiversity that require landscape scaled networks and longer periods. Even at the farm scale, a majority of companies lack policies that encourage significant G.I. networks. Policies suggest companies, and by extension farmers, lack sufficient motivation to protect or restore them voluntarily. Under these conditions, significant G.I. is unlikely to develop under self-regulation, unless supplemented through motivating government stewardship payments.     

A decision method for supplier selection in multi-service outsourcing

Although supplier selection in multi-service outsourcing is a very important decision problem, research concerning this issue is still relatively scarce. This paper proposes a decision method for selecting a pool of suppliers for the provision of different service process/product elements. It pioneers the use of collaborative utility between partner firms for supplier selection. A multi-objective model is built to select desired suppliers. This model is proved to be NP-hard, so we develop a multi-objective algorithm based on Tabu search for solving it. We then use an example to show the applicability of the proposed model and algorithm. Extensive computational experiments are also conducted to further test the performance of the proposed algorithm.     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

西方中央银行沟通视角下的预期管理研究：渠道、手段及效果

近年来,中央银行沟通成为一种新型的货币政策工具。基于中央银行沟通视角,分析西方国家在预期管理中的渠道、手段及效果,结论表明中央银行沟通有助于预期管理。借鉴西方国家沟通经验,提出中央银行的有效沟通,需要中央银行独立性及问责制作保障;重视沟通的规律性,强调沟通信息的清晰和准确;注重对宏观经济运行认识水平,提高公众的经济学素养。     

Policy‐related implementational fluidity in subsistence marketplaces

This paper sheds light on policy‐related implementational fluidity—a context‐dependent adaptation of policies—adopted by policy implementers to address heterogeneous needs of subsistence consumer‐merchants (SCMs). In subsistence research, despite the emphasis on bottom‐up policymaking, implementational fluidity persists because of institutional and sociocultural factors that hinder policy implementers’ from effectively and accurately implementing the policies. To enrich the current bottom‐up policy process, this paper shares insights from an ethnographic study of Fijian market traders and marketplace personnel (policy implementers) and shares insights on how implementational fluidity manifests in subsistence marketplaces. Analysis reveals the interplay amongst sociohistorical context, marketplace relational dynamics and policies leading to policy adjustments and re‐negotiation by marketplace personnel and perceived injustices amongst the SCMs. The paper provides policy recommendations and practice ideas for subsistence researchers and policy practitioners to examine policy implementation gaps and the role of policy implementers in subsistence marketplaces.     

价值工程方法在工程项目设计方案比选中的应用

项目的价值工程方法是一种以实现项目利益相关各方最高满意度的创造性活动,在规划设计阶段,价值工程对项目价值有决定性的影响。因此,在项目前期,应积极应用价值工程的方法进行多方案的比选分析,以达到项目价值的最大化目的。     

Challenges for the Chilean economy under cyclical shocks, 1999–2016

A brief summary of the evolution of economic policies and growth in Chile since 1973 is presented, distinguishing between four periods: 1973–89 with average growth of 2.9 percent, 1990–98 with 7.1 percent (notably above the 3.2 percent Latin American average), 1999–2013 with 3.9 percent, and 2014–16 with 1.9 percent, explaining the main forces underlying these sharp differences. Analysis focuses on the fiscal and external disequilibrium associated with the fiscal treatment of the copper price and the adoption of a free exchange rate since 1999. Subsequently, the focus is on the macroeconomic situation in 2013 and five sources of accumulated disequilibria that suggested a high probability of significant deceleration of the economy. The article ends with a discussion of the actual deceleration in more recent years, converging with the negative average outcome of the region, and concludes that worsening economic performance has been associated mainly with the shift from the coherent countercyclical policies of the 1990s to the procyclical opening of the capital account, liberalization of the exchange rate, and adoption of sharp inflation targeting overcoming other relevant macroeconomic targets since then.     

Light fuel demand and public policies in Brazil, 2003–2013

The main objective of this article is to evaluate determinants of demand for light fuels in Brazil between 2003 and 2013. Through a vector autoregression analysis, an effort was made to identify and quantify the impact of different economic variables and public policy measures adopted during this period on the surprising increase in energy consumption by Brazil’s light-vehicle fleet. The results suggest that demand for energy by the light-vehicle fleet was influenced by an increase in income, by a decrease in fuel prices associated with a policy designed to prevent increases in the price of gasoline from pushing the inflation rate up, by a higher availability of credit for buying vehicles, and by a drop in the real price of those goods, with emphasis on countercyclical measures to waive the tax on industrialized products levied on new vehicles during economic downturns in the automotive industry.