研发市场界定的适用困境及应对策略

研发市场是经营者在特定产品和技术竞争中形成的市场范围。由于研发活动的不确定性，反垄断执法机关在界定研发市场时难以准确厘定市场边界，更深层次的原因在于维持竞争与激励研发的关系尚不明晰。研发竞争中的垄断行为难以通过相关市场界定的方式判断其违法性，需要结合具体案情和市场条件，动态分析涉案行为是否损害产品或技术研发竞争。     

The structure of information release and the factor structure of returns

We model how firms releasing information on different dates causes the CAPM to fail, requiring an additional factor based on the information structure to price assets. We exemplify this mechanism’s empirical relevance using quarterly earnings announcements, which cluster across months along size and book-to-market. Seventy percent of the alpha reduction from including SMB and HML occurs in the four main earnings announcement months. The information structure factor accounts for all of SMB and HML’s seasonal alpha reduction and one third of their overall alpha reduction. Controlling for size and book-to-market, exposures to SMB and HML vary with firms’ earnings announcement month.     

组织性格维度及表征与认知差异：员工认知视角

新经济环境下，组织性格成为企业差异化竞争优势的源泉。根据认知心理学进行研究设计，通过问卷调查获得员工认知视角下的组织性格描述性词语，利用质性分析工具进行编码，提取得到中国情境下企业组织性格的5个维度，并对不同性质企业组织的性格表征差异和不同类型员工对组织性格的认知差异进行分析。结果表明：企业组织性格可以分为创新、宜人、开放、责任、发展等5个维度，5个维度围绕情感、思想和目标3个中心构念形成完整体系，由此提出企业组织的“五型性格”框架；企业组织在性格表征与认知方面均存在差异，表明组织性格既有内生也有外生成分，从人格心理学和认知心理学角度对其进行诠释都有一定的科学依据。企业组织的性格维度及其表征与认知差异，为中国企业性格培育带来了一些重要管理启示。     

Does local government competition aggravate haze pollution? A new perspective of factor market distortion

Haze pollution has become a new threat to China's sustainable development, but it may be that local government behaviour can play an important role in the prevention and control of pollutants. A dynamic spatial autoregressive (SAR) model is used to study the relationship between local government competition and haze pollution. To further explore the indirect impact of factor market distortion on haze pollution and control potential endogeneity problems, a newly developed intermediary effect model that incorporates the characteristics of the generalized method of moments (GMM) is utilized to explore how factor market distortion indirectly affects haze pollution. The research results show that regional haze pollution in China is characterized by significant spatial correlation, and local government competition has a positive impact on haze pollution; that is, local government competition exacerbates haze pollution. In general, local government competition not only directly leads to an increase in haze pollution but also further intensifies it by distorting the local factor market, and the intermediary role of factor market distortion is approximately 7.04%. The results of the regional inspection found that competition among local governments in the eastern region did not lead to haze pollution, and distortion of the factor market did not exist as an intermediary effect. However, both direct and intermediary effects are significant in the central and western regions. Therefore, an official performance appraisal system that includes ecological constraints should be established to guide the benign transformation of local government competition, and an environmental management mechanism must be developed for joint prevention and control to reduce haze pollution. In addition, the free flow of factors and marketization are equally important.     

Rethinking the bottom of the pyramid: Towards a new marketing mix

The purpose of this study is to re-conceptualize the conventional marketing mix for Bottom of the Pyramid (BoP) markets and propose a revised framework by reorganizing the elements based on the customer perspective while retaining the principles of services marketing. Primary data was collected through a questionnaire with a sample size of 400 people from both urban and rural markets in the BoP. Findings indicate that the needs and perspective of the BoP members is distinct from the Middle of the Pyramid (MoP). Managers should consider this point while formulating marketing mix strategies for BoP markets. The present study is the first of its kind to present a revised marketing mix framework for customers in the BoP markets. The framework comprises five Ps, including personalization, product, place, the process of service delivery and price. Thus, a theoretical contribution is made in the context of service marketing and the BoP.     

COVID19: Holiday intentions during a pandemic

The travel, tourism and hospitality industries have been the worst affected of the world's major economic sectors during the COVID19 pandemic, which has had a devastating effect on both destinations and organisations. Drawing from a sample (N = 385) of adult permanent residents of Athens, Greece, the study examines the impact of COVID19 upon holiday intention. The chaordic systems are evaluated through the use of fuzzy-set Qualitative Comparative Analysis, whilst the study also used Necessary Condition Analysis for the calculation of the size effects of the examined conditions. The findings reveal two sufficient complex configurations leading to holiday intention: (i) holiday risks, and (ii) impact of COVID19. Based on the results, the article also offers a set of managerial implications. The contribution of the study is to both theoretical and methodological tourism domains.     

资本匹配、创新力培育与区域协调发展：理论机制与经验证据

区域协调发展不仅受到资本积累数量的影响，更受到资本匹配质量的制约。在拓展MRW模型的基础上，理论分析“实物资本-人力资本-社会资本”最优匹配存在性与高效经济增长的关系，进一步构建资本匹配程度与匹配质量通过创新力培育实现落后地区经济赶超，进而影响区域协调发展能力的传导路径，并利用中国省级面板数据进行实证检验。结果表明，实物资本、人力资本与社会资本存量之间存在最优比例关系，且资本匹配质量主要通过创新力培育影响区域协调发展水平；资本匹配整体上有利于区域协调发展，东部地区资本匹配度对区域协调发展的促进作用高于中部地区、西部地区；机制检验发现，资本匹配通过组织创新效应实现区域协调发展的解释程度最大，其次为技术创新效应，最后是产业创新效应。     

The relationship between people's activities and values with the protection level and biodiversity

We investigated how people's recreational activities, values, and land use preferences are related to the protection level, biodiversity and cultural heritage values of nature-based tourism areas in northern Finland. We assessed peoples' opinions using a public participation geographic information system (PPGIS) and analyzed the data together with spatial biodiversity and cultural heritage data from the same area. Associations between the PPGIS place markings with the protection level and biodiversity values were quite low, and for the cultural heritage sites they were altogether missing. Negative preferences were often marked in areas with high numbers of sites rated as pleasant and they overlapped with each other, indicating conflicting preferences. Since most activities are not noticeably related to the protection level or biodiversity values of a site they can be planned so as to protect the biodiversity of the area.     

The Impact of Public Expenditure and International Trade on Agricultural Productivity in China

The “industry nurturing agriculture” reforms and World Trade Organization accession led to dramatic growth in public expenditure and international trade in China’s agricultural sector. This article aims to estimate the effects of public expenditure and trade on agricultural productivity in China for 2004–2015. A semi-parametric production function with shape constraints is introduced to derive more accurate productivity before the productivity determinants are analyzed with an emphasis on public expenditure and trade. The empirical result shows that public expenditure and exports can effectively improve agricultural productivity, while imports have no significant effects. Policy implications are discussed in the context of supply-side reforms.     

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.