Income comparison and happiness: The role of fair income distribution

Relative income gap is one of the most popular approaches for explaining the income–happiness relationship. We argue in this article that when people compare their incomes, they care about distributional fairness more than relative income disparity. It is difficult for us to explain China's income–happiness paradox if we simply compare the income gap and do not explore the income‐generation process leading to income inequality. We therefore employ an approach based on a responsibility‐sensitive theory of justice that decomposes individual income into fair and unfair components. As a proxy for distributional unfairness, unfair income is considered the main source of unhappiness. Using data from the Chinese Household Income Project survey, we find strong support for the negative relationship between income unfairness and happiness. We also find a significantly positive relationship between the relative income gap and income unfairness, which leads us to consider the income comparison hypothesis as the explanation for the income–happiness paradox in a new light. Sensitivity analyses confirm the robustness of our results.     

南京江北新区新型城镇化发展质量评价与提升路径

文章构建了由31项指标组成的新型城镇化综合发展质量评价指标体系,运用AHP层次分析法和熵值法,选择19个国家级新区中2018年经济总量排名前十的新区进行定量对比分析,并结合民生幸福建设群众满意度问卷调查分析,对南京江北新区新型城镇化发展质量进行综合评价。研究表明:(1)南京江北新区新型城镇化整体发展处于中上游水平,与发达新区相比存在一定差距,产业结构亟需优化;(2)发展增长方式、资源利用率、环境保护类指标明显落后;(3)科教文卫、居民生活等指标具有比较优势。文章最后提出新型城镇化提升路径为加快生态环境和公共服务建设,积极提升科教和生态示范效应,做大做强主导产业,促进城乡特色均衡发展和推进以人为核心的新型城镇化。     

创业失败经验对连续创业意愿的影响——创业失败学习与市场动荡性的作用

基于经验学习理论，探究创业失败经验如何通过创业失败学习影响创业者连续创业意愿，以及市场动荡性的调节作用。对176位有失败经历的创业者进行问卷调查，结果表明：创业失败经验对创业失败学习和连续创业意愿均有显著正向影响；创业失败学习在创业失败经验与连续创业意愿关系间起中介作用；市场动荡性负向调节创业失败学习与连续创业意愿的关系，即市场动荡性越高，创业失败学习与连续创业意愿间的关系越弱。研究结论对于拓展创业失败经验与连续创业意愿研究、帮助创业者从失败中复原，以及激励连续创业具有重要理论价值和实践意义。     

The use of landslide hazard maps to determine mitigation priorities in a dam reservoir and its protection area

Despite longstanding research on the landslide hazard assessment and mapping, the use this information in regional planning applications remains largely unclear. There is still a need for novel methods to interpret the results of hazard analyses. In this respect, the main research question of this study is how the landslide hazard maps can be evaluated in planning practice. To evaluate this issue, a comprehensive case study was carried out and a new methodology, defining the order of priority for the locations where mitigation measures are applied was developed. The investigations were carried out in the Melen Dam reservoir, which provides potable water to the city of Istanbul, and the dam protection area (Duzce, Turkey) in four main stages: (i) Evaluation of the general characteristics of the study area, (ii) preparation of landslide inventory, (iii) development of landslide hazard model, and (iv) implementation of the results of hazard analyses in planning. As a consequence, a decision support system that can evaluate analytically complicated outputs “P_Combined”, “P_{AL min.}”, and “L_Total” and provide clear decisions “Urgent”, “Primary”, and “Secondary” was suggested. Considering the limited resources available for the mitigation measures, the determination of mitigation priorities for the micro-catchments constitutes the key land-use policy for the protection of the dam reservoir.     

Geographies of Algorithmic Violence: Redlining the Smart City

City governments are embracing data-driven and algorithmic planning to tackle urban problems. Data-driven analytics have an unprecedented capacity to call urban futures into being. At the same time, they can depoliticize planning decisions. I argue that this shift calls urban studies scholars to investigate geographies of algorithmic violence—a repetitive and standardized form of violence that contributes to the racialization of space and spatialization of poverty. This article examines this broader phenomenon through the case of a proprietary market value assessment that is being used to guide development in cities across the United States. The assessment employs an algorithm that helps city officials make critical decisions about which neighborhoods to target for investment, disinvestment and public service upgrades or disconnections. I argue that the racial, infrastructural, and epistemological violence associated with this evaluation can potentially lead to a new kind of municipal redlining. The article brings insights from critical race theory into conversation with critical scholarship on algorithms by analyzing how algorithmic violence works through data-driven planning technologies to depoliticize and leverage power while further entrenching racism and inequality.     

Tent City: Patterns of Informality and the Partitioning of Sacramento

Unsanctioned tent cities are increasing in number in cities throughout the western United States. Scholars explain the phenomenon as homeless people asserting their ‘right to the city’ or as ‘managed marginality’. These explanations capture much of the socio-political relationship between local government and homeless populations, but do not explain the long-term persistence of tent cities and the fluctuating nature of their visibility. A spatial history of informal encampments in Sacramento at three key moments—the founding of the city, the Great Depression and the Great Recession—reveals a long-term ebb and flow of tent cities occupying close-to-the-center, urban vacancies. Urban vacancies arise from the partitioning of the city into specific purposes, places and people, a taken-for-granted perception of how cities should be. The visibility of tent cities disrupts this aesthetic notion of stability and growth as homeless people use the tent to protest their isolation and exclusion.     

When profession trumps potential: The moderating role of professional identification in employees’ reactions to talent management

Abstract

This study aimed to investigate the role that a professionalized context plays in shaping employee reactions to talent management decisions. We examined the mediating role of felt obligation in the relationship between talent ratings and organizational citizenship behavior. Further, the study tested whether professional identification moderates the relationship between talent ratings and felt obligation towards the organization. Five hundred and ninety-eight teachers that had recently received ratings of their talent status responded to a survey questionnaire. Felt obligation mediated the relationship between talent ratings and organizational citizenship behavior. Furthermore, professional identification moderated the relationship between ratings of potential and felt obligation in such a way that the relationship was strongest for the teachers expressing the lowest professional identification. At high levels of professional identification, the relationship was not significant. These results indicate that conventional talent management might be less effective for increasing favorable attitudes and behaviors among employees in highly professionalized contexts, such as the education sector.     

When companies improve the sustainability of the natural environment: A study of large U.S. companies

In light of the call for companies to abandon current approaches to environmental management, this study adds to the environmental strategy literature and uses the evidence of competitive dynamics among companies to identify a mechanism by which companies invest in proactive environmental strategies and thereby improve the sustainability of the natural environment. An examination utilizing fixed effects regressions on a sample of large U.S.‐based companies reveal that even after controlling the number, environmental and financial performance of leading (environmental) companies, laggard (environmental) companies are more likely to invest in proactive environmental strategies when their leading peers display higher sustainability orientations. Neither the expectation of government regulation nor social movement pressure was found to be influential in this relationship. Therefore, the future dominance of companies' investments in the sustainability of the natural environment will be driven by companies themselves as long as competitive advantages are expected.     

服务贸易视角下中日韩贸易竞争与互补分析

作为东亚地区经济发展的核心,中日韩三国服务贸易的发展一直备受关注。日本服务贸易的竞争力水平是中日韩三国中最强的,其次是中国,最后是韩国。中国具有竞争力的行业主要是建筑、电信、计算机和信息以及其他商业服务,韩国具有竞争力的行业主要是旅游和建筑服务,日本具有竞争力的行业主要是运输、建筑、专业权利和特许服务以及政府服务。进一步对中日韩服务贸易的影响因素进行分析发现:人均国内生产总值、外商直接投资、货物贸易出口额和服务贸易开放水平与中日韩服务贸易竞争力水平都呈显著正相关关系,其中,服务贸易开放度水平对中日韩服务贸易竞争力水平的影响最大,外商直接投资对中日韩服务贸易竞争力水平的影响最小。     

非互惠的零关税待遇是否促进了受惠国的出口多样化——基于中美对非洲贸易政策的比较研究

非互惠的优惠贸易待遇是世界贸易组织和国际社会支持发展中国家尤其是最不发达国家发展的重要工具。为了评估该政策的效果,本文以中美对非洲实施的零关税待遇为例,采用2001—2017年HS8位贸易数据从整体、行业和区域层面评估了两种政策对受惠国出口多样化产生的影响。结果显示,美国零关税待遇分为AGOA-GSP和AGOA-服装两个条款,中国零关税待遇(FOCAC)在遵循WTO规则、受惠商品范围、受惠国家标准、原产地标准及政策有效期方面均优于AGOA-GSP,但在原产地标准灵活度和政策优惠力度方面低于AGOA-服装。这些特征导致三类政策对受惠国出口多样化的影响产生显著的差异。整体上,FOCAC和AGOA-服装对受惠国出口多样化均产生了显著的积极影响,而AGOA-GSP的影响不显著;行业层面,FOCAC对受惠国制造业、矿业和农业的出口多样化均产生了显著的促进作用,而AGOA的两个条款对受惠国三个细分行业出口多样化的影响均不显著;区域层面,三类政策对受惠国出口多样化的影响仅在部分区域发挥效果。