基于专利信息的产业技术竞争优势测度模型构建与实证研究

提出产业技术竞争优势的概念,并探讨其规模-质量-价值三维模型和测度指标体系;构建产业技术竞争优势指数,利用熵值法设置权重,采用合成指数法计算产业技术竞争优势指数。以世界生物医药产业主要国家（中、美、德、日）1996-2016年样本数据进行实证研究。结果表明：中国生物医药产业技术竞争优势指数及分指数总体保持上升趋势,其中规模指数增长较快,价值指数次之,质量指数发展居于末位;美国、日本和德国竞争优势指数相近,均具有较强的竞争优势;中国产业技术竞争能力处于劣势地位,规模维度方面中国与其它三国差距较小,价值维度差距次之,质量维度差距较大。     

European Integration,Capitalist Diversity and Crises Trajectories on Europe’s Eastern Periphery

ABSTRACT

European policy responses to the Global Financial Crisis and its European manifestation have set off a scholarly debate whether different national varieties of capitalism are equally able to cope with deepened European integration. To date, this debate has mostly focused on the contrasting fates of the thriving northern export-oriented capitalisms and the ailing southern European ones. This paper seeks to broaden the debate by focusing on Europe’s Eastern periphery. It argues that a combination of domestic transformation strategies and the EU’s accession policies resulted in two different growth regimes on Europe’s Eastern periphery: a dependent export-driven in the Visegrád countries and a dependent debt-driven in the Baltic States. On the basis of the pre- and post-crisis trajectories of these two growth models, this paper finds that because East Central European capitalisms were profoundly shaped by EU integration, they are on balance also more compatible with deepened integration than Southern European capitalisms.     

中国海洋产业增长极选择研究

21 世纪是海洋的世纪,海洋经济在国民经济中起着举足轻重的作用,合理的发展模式对推动海洋产业经济发展尤为重要。本文以增长极理论为指导,采用不平衡发展模式、主成分分析法及聚类分析法对中国海洋产业经济增长极选择进行实证分析,结果表明：中国应以海洋渔业、滨海旅游业及海洋交通运输业作为主导产业进行发展,并确定其海洋产业增长极的地位。以此为契机,本文还进一步分析评价了海洋产业增长极的发展状况,以确定海洋产业发展战略,为中国海洋产业经济增长极的培育及国家海洋产业经济发展提供参考支撑。     

Estimating state-industry employment,with an application to industrial localization

We describe a method to construct an industry-by-state repeated cross-section of employment at the most disaggregated level publicly available, covering 1963–2012. Nondisclosed data are estimated with a procedure using the hierarchical information structure. To illustrate the usefulness of the procedure, the resulting estimated data are tested to determine if industrial localization of the processed food sector has changed over the last 50 years in the United States. Our findings suggest it has not changed systemically despite variation in levels of localization within industries.     

Exploring the relationship between university and innovation: evidence from the Italian food industry

This study provides empirical evidence on the role of universities’ technological transfer (TT) activities in the Italian manufacturing sector, with particular attention to the food industry. Using the UniCredit-Capitalia database (2008 UniCredit-Capitalia. 2008. Decima Indagine Sulle Imprese Manifatturiere Italiane. Rapporto Corporate. [Google Scholar]) for firms and data from the Ministry of Education, University and Research (MIUR) to obtain the university TT indicator, we estimate a probit model to assess the effect of universities’ TT activities on a firm’s likelihood to innovate. The role of proximity in knowledge spillovers from TT activities is also investigated. Results show that university TT activities seem to stimulate food industry firms innovation and the impact appears significantly higher than for the manufacturing sector. Moreover, the effect of TT activities on innovation appears to be geographically bounded. As regards policy implications, this study provides two insights which may help promote innovation in the food sector. First, the factors that influence innovative capability in the food sector are different from those in other sectors, suggesting the need for sector specific instruments for promoting innovation. Second, science is important in the food industry and this raises questions about the policy of mainly considering high-tech industries when promoting a closer relationship between firms and universities.     

Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006–2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve – first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.     

When do sell-side analysts switch industries they follow?

Between 1984 and 2014 over 3400 sell-side analysts changed the primary industry they followed. This article documents that analysts are more likely to change their industries when their absolute and relative forecasting accuracy in that industry is low and when the accuracy in the new industry is high. Analysts are more likely to switch industries at the beginning of their careers, after a recent change of an employing brokerage house, and if they have a history of switching industries before. Analysts are less likely to make a switch when their forecasting activity in the industry is high, when the industry is followed by many analysts and when they are employed by a top brokerage house.     

Reorganizing School Lunch for a More Just and Sustainable Food System in the US

Public school lunch programs in the United States are contested political terrains shaped by government agencies, civil society activists, and agri-food companies. The particular organization of these programs has consequences for public health, social justice, and ecological sustainability. This contribution draws on political economy, critical food studies, and feminist economics to analyze the US National School Lunch Program, one of the world's oldest and largest government-sponsored school lunch programs. It makes visible the social and environmental costs of the “heat-and-serve” economy, where widely used metrics consider only the speed and volume of service as productive work. This study demonstrates that such a narrow understanding of the labor of lunch devalues care and undercuts the potential for school food provisioning to promote ecological and feminist goals. Further, it proposes a “high road” alternative and outlines an agenda for reorganizing school food provisioning to maximize care in all its dimensions.     

Risk Preferences and Gender Differences in Union Membership in Late Nineteenth-Century Swedish Manufacturing

Women are generally seen as less inclined to join trade unions. This study matches firm–worker data from the Swedish cigar and printing industries around 1900 and examines information on men and women holding the same jobs; such data are rare but important for understanding gender gaps. The results explain the gender gap in union membership among compositors, but not among cigar workers. Differences in union membership varied considerably across firms, with the largest differences found in low-union-density cigar firms where indirect costs (that is, uncertainty and risk) accrued in particular to women workers. The lack of gender differences in mutual aid membership indicates that women were not hard to organize but avoided organizations associated with greater risk for employer retaliation and uncertain returns according to a cost–benefit analysis.     

行业信用风险分析框架及其在煤炭行业中的应用

从行业偿债来源入手,从债务安全性的角度探讨行业的信用风险水平,力图针对行业偿付现有债务以及未来债务的能力给出量化的分析。提出了信用评级视角的行业信用风险分析方法框架,采用该分析框架对我国煤炭采选行业进行了行业信用风险评价。结果表明,该框架的分析结论与煤炭行业在债券市场的实际表现互为印证。