区域知识产权保护发展的空间格局及结构体系研究

以我国各省知识产权保护制度为研究对象，创新性地将探索性空间数据分析方法与社会网络分析方法相结合，基于地理邻近视角，验证了区域知识产权保护的空间相关性、空间集聚特征和空间溢出效应。同时，突破地理近邻效应的局限，解析区域知识产权保护的空间关联特征。结果表明：我国各省知识产权保护具有全局自相关性，相似地区间存在空间集聚效应，不同发展程度地区的空间关联性质不同；网络化后的区域知识产权保护各节点间联系紧密、网络结构稳定，并且可以确定核心行动者和边缘行动者角色；长三角、珠三角、环渤海等较发达地区与其它地区之间存在较多溢出关系。     

The socio-economic determinants of COVID-19: A spatial analysis of German county level data

The study explores the association of socioeconomic, demographic, and health-related variables at the regional level with COVID-19 related cases and deaths in Germany during the so-called first wave through mid-June 2020. Multivariate spatial models include the 401 counties in Germany to account for regional interrelations and possible spillover effects. The case and death numbers are, for example, significantly positively associated with early cases from the beginning of the epidemic, the average age, the population density and the share of people employed in elderly care. By contrast, they are significantly negatively associated with the share of schoolchildren and children in day care as well as physician density. In addition, significant spillover effects on the case numbers of neighbouring regions were identified for certain variables, with a different sign than the overall effects, giving rise to further future analyses of the regional mechanisms of action of COVID-19 infection. The results complement the knowledge about COVID-19 infection beyond the clinical risk factors discussed so far by a socio-economic perspective at the ecological level.     

(In)equality and the South African Constitution

ABSTRACT

Does the South African Constitution constrain or empower government, courts and citizens in addressing systemic social and economic inequalities? This article argues that the Constitution is explicitly ‘transformative’, but is an enabling document, providing ‘scaffolding’ for political and legal activities. It is government, strong institutions and civil society that are ultimately responsible for securing its equality aspirations. Here the Constitution admits of different understandings of equality and different economic and social policy choices. This article identifies these contested meanings of equality and suggests that a liberal egalitarian/social democratic version is dominant in policy choices and the jurisprudence of the Constitutional Court. It illustrates this with reference to the Court’s jurisprudence on equality, and suggests that more radical and transformative interpretations remain possible. However, it concludes that we cannot escape politics, the need for good policy choices and effective implementation and enforcement.     

我国“一带一路”沿线地区风险投资时空分布及影响因素研究

深入分析我国“一带一路”沿线地区风险投资时空格局及影响因素，有助于促进创新创业与企业发展、提高区域科技创新水平。运用空间分析方法和空间计量模型，对2003-2018年我国“一带一路”沿线139个城市风险投资的时空分布特征及影响因素进行分析，结果表明：①沿线地区的风险投资发展具有不均衡性，呈现为沿海高、西部低的分异格局；②风险投资的全局自相关系数均为正，呈现出明显的空间集聚特征；③风险投资机构数、国家高新区数量、风险投资退出、政府引导基金发展、财政科技支出对区域风险投资具有显著促进作用，环境污染对风险投资有一定抑制作用。随着ESG投资理念逐渐获得认可，沿线地区可以通过提升绿色发展水平促进风险投资发展。     

碳排放交易制度的节能减排路径：效率提升还是结构转型？——来自中国省级数据的准自然实验

以中国2013年以来实行的碳排放交易试点政策作为准自然实验事件，基于2000-2017年中国30个省市的面板数据，运用双重差分法实证检验碳排放交易制度的节能减排效应及影响机制。研究发现，碳排放交易制度有利于实现中国经济“节能”与“减排”的双重目标，并通过了一系列稳健性检验；作用机制检验表明，能源效率提升和能源结构转型都是碳排放交易制度实现节能减排目标的重要路径；能源效率提升在碳排放交易制度实现“节能”和“减排”中分别发挥了10.19%和5.93%的作用，而能源结构转型分别发挥了48.87%和52.95%的作用。这意味着中国碳排放交易制度实现节能减排的主要动力来自能源结构转型，而非能源效率提升。能源结构转型涉及问题更加宏观和深层，这为中国加快推进节能减排进程，特别是完成2030年碳达峰和2060年碳中和的国际承诺提供政策启示。     

国家科技创新能力时空差异性评价

科技创新规模扩张和科技创新效率提升是增强国家科技创新能力的两条关键途径。基于现有研究鲜有结合科技创新规模和科技创新效率开展国家科技创新能力评价的现状，采用因子分析法，系统筛选国家科技创新规模影响因素，并结合科技创新效率影响因素，完善国家科技创新能力评价指标体系，通过构建DEA Malmquist指数模型，评价不同时期国家科技创新效率变化指数，以及中国与全球10个国家科技创新能力的时空差异性。研究表明，R&D投入强度、R&D研究人员、专利申请量、科技期刊文章数、高科技产品出口额占制成品出口总额的百分比、科技创新效率是影响国家科技创新能力的关键指标；1991-2014年中国科技创新能力水平呈指数增长态势，有力提升了国家科技实力；全球10个国家科技创新能力水平除日本出现一定波动外，其余九国整体呈小幅递增态势。     

资源依赖型地区产业转型的战略及对策研究

资源依赖型地区产业转型是保障国家资源安全和促进经济社会可持续发展的关键。我国资源依赖型地区数量多且分布广,现阶段此类地区开发阶段不同,所以进行产业转型的路径存在差异,其过程任重而道远。针对我国资源依赖型地区产业发展的现状进行分析并找出其问题,基于此,科学全面的探讨适合此类地区实现产业转型的五个战略,并进一步分别从地区资源开发阶段和地区利益相关主体两个维度,制定出符合资源依赖型地区产业转型的对策。     

Labor market analysis through transformations and robust multivariate models

The work presents a robust approach to labor share analysis. The estimate of labor share presents various complexities related to the nature of the data sets to be analyzed. Typically, labor share is evaluated by using discriminant analysis and linear or generalized linear models, that do not take into account the presence of possible outliers. Moreover, the variables to be considered are often characterized by a high dimensional structure. The proposed approach has the objective of improving the estimation of the model using robust multivariate regression techniques and data transformation.     

谈体育教学改革发展趋势

体育教学“以人为本”观念形成的社会环境是现代化发展的必然结果。我们教育改革思路提出“健康第一”的指导思想，同样验证了“以人为本”的现代体育观念的社会环境背景。学生对体育课的要求和看法将对体育教学改革提供“主体”依据，体育教学改革要“以人为本”。     

Regionalization, public spending and growth: a stylized model dealing with ‘predatory states’

In this paper, a micro-founded model analyzing the effects of ‘regionalization’ on economic activity is developed. It shows that the spatial division of public competencies can have an impact on the growth rate via the efficiency of governmental choices: initially advantageous for weak levels, decentralization (/reduction of regional size) becomes limited due to the risk of underestimation of the real profitability of public expenditure by local governments (non-internalized cross-border effects). In accordance with the theory, a transversal estimation for a sample of 51 countries for the 1990s establishes a ‘bell-shaped’ relation between indicators of regionalization and the quality of governance.