基于联合分析法的城市住区绿地雨水设施 居民喜好度研究

城市化进程带来如城市内涝等诸多环境问题，使得 海绵城市和低影响开发成为热点。城市住区绿地作为城市绿地 的一个重要类型，既是住区居民重要的景观游憩场地，也是海 绵城市低影响开发的重要海绵体，是兼具径流绩效和景观绩效 等综合绩效的复合设施。如何让雨水设施在发挥径流绩效的同 时兼具满足居民需求的景观绩效，是目前相关研究的难点和热 点。居民喜好度的研究是住区绿地雨水设施景观绩效优化提升 的重要方法之一。通过联合分析法，遴选雨水收集、雨水转 输和雨水调蓄3个环节的源头减排雨水设施，模拟江南住区中 心绿地雨水设施场景收集居民评价，进行不同居民群体的设 施喜好度效用值相关性统计和住区绿地不同类型雨水设施效 用值及相对重要性分析。并通过走访、文献查阅解析所得数 据，为住区绿地雨水设施景观绩效提升和低影响开发设计提 供启示和借鉴。     

Time preference and international trade

We first consider a closed model, where households' time discount depends on externality in consumption. We can prove that there is a unique steady state, which is a saddle point. Then we extend the model to a two‐country world, and derive the condition on the effects of consumption externality under which there is a unique free trade steady state with saddle‐point stability.     

重男轻女观念会加剧当地家族企业的机会主义动机吗——以家族企业上市公司为例

本文基于重男轻女观念的视角，探究地区文化是否会影响当地家族企业的机会主义动机。本文研究发现，重男轻女地区的家族企业更愿意安排男性家族成员担任CEO等重要职位，更多地引入家族成员参与企业经营。由于担心这种机会主义行为，外部投资者对当地家族企业的投资更为谨慎。本文从地区文化的视角阐释了家族企业的异质性，推动了已有研究从“家族企业与非家族企业有何不同”向“不同地区文化下的家族企业间有何不同”层面深入。     

Consumer Preferences for Fresh Tomatoes in Benin using a Conjoint Analysis

Constraints related to the technical and socioeconomic aspects of adopting tomato varieties are well documented. However, preferences relating to the demand for this fruit are rarely studied. In fact, demand for the different varieties of tomatoes might be related to consumers’ preferences for the extrinsic (color, size) and intrinsic (taste, nutritive value, water content) characteristics specific to each variety. It is therefore indispensable to determine the characteristics of tomatoes preferred by consumers. We examine consumers’ preferences for tomato attributes among a sample of 600 consumers in four representative markets in the main cities in southern Benin. The study also identifies potential segments of consumers and the market shares of each profile for each segment. The study identifies four potential tomato market segments, two of which have a strong preference for local tomatoes, namely, those that can be conserved for long periods and those with a firm consistency.     

On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population

In light of the creation of the EU Energy Poverty Observatory (EPOV) in January 2018 and the increase in debates on how fuel poverty is measured, we propose a critical analysis of fuel poverty indicators and demonstrate that choosing a given indicator is central to the identification of the fuel-poorpopulation.

First, we conducted an inter-indicator analysis to show how profiles of fuel-poor households vary depending on the indicator selected. We designed a multidimensional approach based on a multiple correspondence analysis and a hierarchical and partitioning clustering analysis to study characteristics of fuel-poor households. We highlight the difficulty of identifying a fuel-poor ‘typical profile’ and show that the composition of the population depends on the choice of the indicator.

Second, we applied an intra-indicator analysis using two objective expenditure-based indicators with thresholds. In particular, we conducted a sensitivity analysis based on a logit model including variables describing household and dwelling characteristics. We show that the profiles of fuel-poor households as well as the drivers of fuel poverty vary considerably with the chosen threshold level.Given these findings, we stress the need to review how we currently rely on conventional fuel poverty indicators to identify target groups and give some recommendations.     

Financing the sustainable management of Rwanda's protected areas

Rwanda's Nyungwe National Park is a biodiversity hotspot with the most endemic species in the ecoregion and the highest number of threatened species internationally. Nyungwe supplies critical ecosystem services to the Rwandan population including water provisioning and tourism services. Tourism in the Park has strong potential for financing enhanced visitor experiences and the sustainable management of the Park. This paper explores quantitatively the economic impacts of adjustment in Park visitation fees and tourism demand as a source of revenues to improve Park tourism opportunities and ongoing operations and maintenance. The methods developed in this paper are novel in integrating the results of stated preference techniques with a regional computable general equilibrium modelling approach to capture multisectoral, direct, indirect and induced impacts. Such methods have strong potential for assessing revenue generation alternatives in other contexts where park managers are faced with the need to generate additional revenue for sustainable park management while facing diminishing budget allocations. Results of this analysis demonstrate that adjustment of Park fees has a relatively small impact on the regional economy and well-being when compared with a strategy aimed at generating increased tourism demand through investment in improving the visitor experience at Nyungwe National Park.     

管理层权力与或有事项信息披露——基于环境不确定性的调节效应研究

基于2003—2016年我国A股上市公司的经验数据，以企业表内列报的预计负债金额与表外附注中披露的或有事项频数为考察对象，实证检验了管理层权力对或有事项信息披露的影响。研究发现，管理层权力与表内列报的或有事项信息显著负相关，而与表外披露的或有事项信息显著正相关；进一步发现，随着环境不确定性的增加，管理层权力对企业表内预计负债列报的负向影响显著增强，而对表外或有事项披露的正向影响明显减弱。在当前外部环境瞬息万变、内部治理机制弱化的背景下，管理层可能会利用其控制权操控或有事项信息的披露方式，自我服务偏好明显。     

The Effect of the Interaction between Price and Time Preference on Cigarette Consumption among Pregnant Women

In this study, I explore smoking behavior among pregnant U.S. women using the 1979 cohort of the National Longitudinal Survey of Youth. The key aspect of this study is the availability of smoking participation data before and during pregnancy. I consider the probabilities of smoking cessation while pregnant as the outcome. I find that pregnant women who smoke are less responsive to price changes when they are more future-oriented. Women who are more present-oriented are more likely to smoke and consume more cigarettes given that they smoke more than those who are future-oriented. Moreover, those who discount the future more heavily are more sensitive to the money price of cigarettes than those who are more future-oriented. I focus on the role of time preference and the interaction between time preference and price in determining these outcomes.     

人工智能发展对通胀动态的影响及政策挑战——基于动态随机一般均衡模型的分析

人工智能的发展是生产力进步的表现，但广泛使用人工智能技术的经济效应尚待深入研究。基于人工智能对劳动的替代作用，将人工智能投资引入动态随机一般均衡模型，通过比较静态分析和短期动态分析考察人工智能发展对通胀动态的影响。稳态分析表明：人工智能投资效率提高和使用范围扩大均会提升劳动生产率进而提高产出水平，但对长期或趋势通胀没有影响；在人工智能发展初级阶段人工智能的发展会引起实际工资下降，而在相对高级阶段人工智能的发展会引起实际工资上升。短期动态分析显示：人工智能发展水平的提高，无论是投资效率的提高还是使用范围的扩大，都会导致通胀及实际边际成本对偏好冲击和技术冲击等外生冲击的反应变弱。人工智能的发展会使通胀动态与实际经济活动变化间的联系减弱，其原因是人工智能对劳动的替代作用使工资调整不再是应对外生冲击的必然选择，进而改变了外生冲击通过影响工资来影响通胀的传导机制。因此，发展人工智能在促进生产率提升和产出增长的同时，还会改变宏观经济变量间的传导机制，进而对通胀等政策调控目标变量的准确预测以及政策调整和实施的有效性带来新的挑战，也为金融理论研究提出新的课题。