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.     

Public spending,public governance and economic growth at the Vietnamese provincial level: A disaggregate analysis

This study examines the role of economic governance in the relationship between public spending, private investment, and economic growth in Vietnam at the provincial level. The study data consist of sixty-two Vietnamese provinces for the period 2006–2015. Some notable results are attained by applying a sequential (two-stage) estimation. First, the marginal benefits to economic growth of increased Vietnamese provincial government expenditures may be constrained because of the inefficiency of expenditures on education, business services, and public administration. Second, public spending and private investment are found to be substitutes at the provincial level. Third, based on the Provincial Competitiveness Index (PCI) ranking, used as a proxy for provincial public governance in Vietnam, the significance of public governance can be observed. The study concludes that good governance, characterized by different attributes, such as lower informal charges, greater transparency, and unbiased policy, plays a critical role in improving the impact of government expenditure on economic growth in Vietnamese provinces, particularly through its interactions with private sector investment.     

Corporates' strategic responses to economic policy uncertainty in China

Using a novel news‐based index of economic policy uncertainty, this paper studies the impact of economic policy uncertainty on corporate strategic positioning and corporate risk in China from 2009 to 2015. The study also investigates the impact of corporate strategic positioning on corporate risk. The results show that corporate strategic positioning and economic policy uncertainty have a significant positive impact on corporate risk. The results also explain that economic policy uncertainty increases the market risk of the firms irrespective of their corporate strategy. However, it increases the business risk of prospector firms and decreases the business risk of defensive firms. The study may help the firms to formulate and improve their strategic positioning while considering economic policy uncertainty. Our results are robust to alternate proxies of economic policy uncertainty and corporate risk.     

基于BP人工神经网络中国光伏产业贸易摩擦预警研究

建立有效的贸易摩擦预警系统有利于中国新兴产业的健康发展,有利于中国实施制造强国战略。将警兆信号法与人工神经网络相结合,从宏观经济形势、产业供给能力、双边贸易状况、市场需求水平等四个维度切入,构建了中国光伏产品出口贸易摩擦预警系统模型。预警分析表明,模型的预警效果与现实拟合较好,具有可行性。从模型的预警结果来看,2019年~2020年中国输美光伏产品贸易摩擦警情均低于轻警级别,仍面临一定的贸易摩擦风险。     

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。     

新冠肺炎疫情对供应链弹性管理的启示

新冠肺炎疫情将对中国产业供应链的持续竞争力形成挑战,使企业面临人力短缺、成本增加、现金流紧张和供应链不确定性增高等问题,在企业供应链的原材料供应、采购管理、生产复工、物流以及市场等方面均会产生一定的负面影响,这对供应链弹性管理提出了新的要求。在政府层面,应建立综合、协同性的产业供应链风险管理和沟通机制,构建基于事件的产业供应链预警体系,保障企业供应链运营的资源体系,推动产业平台和产业集群带动供应链参与者建立供应链弹性体系。在企业层面,应建立基于企业事件的供应链预警体系,根据供应链预警信息和状况,合理规划供应链运营方式,运用数字化能力建设企业供应链弹性体系,稳定供应链运营,提升供应链效率。     

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。     

互联网金融的信用风险评估与预警研究

随着互联网金融的蓬勃发展，用户对消费金融的需求也越来越丰富多样。满足用户的多样化需求与建立健全风险监管体系成为互联网金融发展的重中之重。如何实现数据驱动服务升级、技术辅助市场监管成为研究的热点问题。本文通过数据处理与特征工程实现用户认证信息、金融信息、行为信息的融合，利用深度森林算法建立模型进行信用风险评估。结果表明，该方法能有效挖掘数据潜在价值，提高信用风险评估与预警效果。最后，本文针对互联网金融的信用风险预警与市场监管提出了建议。     

俄罗斯国家经济安全对中俄经贸合作的影响

20世纪以来,俄罗斯经历了乌克兰危机、西方经济制裁、国际油价下跌等外部因素的冲击,经济安全遭受严重威胁,在此背景下的俄罗斯政治经济战略势必波及中俄经贸合作,进而影响丝绸之路经济带建设。本文从贸易合作和对外直接投资合作方面,基于计量模型剖析俄罗斯国家经济安全对中俄经贸合作的影响过程及关联因素。研究表明俄罗斯国家经济安全危机提升了中国在俄贸易伙伴国中的地位,促使俄与中国产能合作的意愿强烈,直接投资和产能合作逐渐成为推动中俄经贸合作向纵深发展的强劲动力;俄罗斯国家经济安全危机对中俄罗贸易有显著负向影响,中俄政治关系对贸易合作有显著正向影响。这是提高中国对俄罗斯投资、提升高新技术产品在俄罗斯进口比重的机遇期,亦是推进丝绸之路经济带的重要机遇期。经济强势崛起的俄罗斯和经济体系全面崩溃的俄罗斯对丝绸之路经济带的推进均有重要影响,在与其发展战略协作伙伴关系过程中,中国恰到好处地拿捏平衡其中的大国利益边界至关重要。