Digitalisation,automation and upgrading in global value chains – factory economy actors versus lead companies

This article investigates the differences in the application and impact of digital technologies between manufacturing subsidiaries and lead companies, the principal orchestrators of global automotive value chains. Utilising a dataset of 10 in-depth interviews with automotive industry actors, we analyse headquarters–subsidiary differences in the patterns of digitalisation-driven upgrading. A theoretical framework is offered that explains why the significant upgrading achievements of manufacturing subsidiaries deploying industry 4.0 technologies will not reduce the gap between lead companies and manufacturing subsidiaries in terms of value generation. We show that the concept of ‘industry 4.0’ is much narrower than that of ‘digitalisation’ and transition to smart factories is only part of the digital transformation story. Industry 4.0 technologies contribute to the upgrading of operations, and enable subsidiaries to take on production-related knowledge-intensive assignments (functional upgrading). Conversely, digitalisation serves lead companies’ strategic differentiation efforts, and facilitates achieving competitive advantage: the latter are crucial for value capture.     

The intertemporal risk-Return relation,investor behavior,and technical trading profits: evidence from the G-7 countries

The intertemporal risk-return relation and investor behavior are both important pricing factors that jointly determine the expected market risk premium. Using the price adjustment process as a control variable, we find that the intertemporal risk-return relation is positive conditional on bad market news, but is non-positive conditional on good market news. This implies that good (bad) market news weakens (strengthens) the positive risk-return relation. The pattern in the distortion of the risk-return relation is consistent with short-term mispricing in which investors overvalue (undervalue) the stock market in reaction to good (bad) market news. We also show that ignoring the price adjustment process in the estimation of the risk-return relation leads to model misspecification and induces an upward (downward) bias in estimates of the relative risk aversion parameter conditional on good (bad) news. Our model of the asymmetric risk-return relation along with the price adjustment process is capable of generating the return dynamics that is attributable to technical trading profits. We suggest that the profitability of technical trading rules is not a violation of market efficiency, but a consequence of trading rules exploiting the asymmetric effect of price changes on the risk-return relation, along with the persistence property of price changes.     

Collaboration for R&D Projects between the Industry and External Agents: Evidence from Manufacturing Companies in Peru

In this article we use the innovation survey of the manufacturing industry of Peru to identify cooperation behaviors for research and development (R&D) projects among companies and external agents in general. Likewise, we also find cooperation behaviors among the industry and the following external agents: university, technical centers, suppliers, customers, and companies of the same group, competitors, guilds, and consultants. Within the specific agents, the university is considered a cooperation agent for R&D projects. We use the survey of innovation in the manufacturing industry of Peru conducted in 2015, which resulted in 1447 Peruvian companies being surveyed. Evidence was obtained as to the degree of the tie between the industry and external agents for cooperation in R&D projects, giving relevance to variables such as investment, resources, and degree of innovation. Our results show that investment is an important factor for cooperation with external agents. Additionally, companies that have innovated at some point seek to cooperate with external agents. Finally, the importance of the university is demonstrable, thus, companies that invest in R&D seek to cooperate with the university.     

Does it pay off for museums to foster creativity? The complementary effect of innovative visitor experiences

This paper aims to explore the link between creativity orientation, investment in visitors’ experience and operating and funding performance in tourist attractions, taking museums as a case study. The empirical work is based on an analysis of the information provided by a sample of Spanish, French, German, British and American museums. The findings highlight the positive impact of creativity orientation on museums’ operating performance, but show a curvilinear effect on funding performance. The use of new technologies and adaptation to the audience proves positive when seeking to attract visitors.     

The economics of markets and platforms

Advances in the study of both markets and platforms contribute to economics. Platforms are typically digital markets, although platforms can designate markets generally. So, the economics of markets and the economics of platforms are one and the same. Platforms show the critical role of intermediaries in endogenous price adjustment and market clearing. The platform model remedies problems with general equilibrium analysis by combining and extending the basic Walrasian and Marshalian market models. The analysis of platforms provides explanations for the bid–ask spread, including market power, search costs, matching costs, adverse selection, and moral hazard. The study of platforms demonstrates the importance of participation and coordination in the formation of markets. The discussion emphasizes that platforms have significant implications for the theory of the firm. The analysis further considers how platforms affect innovation and entrepreneurship.     

Putting Austerity to Bed: Technical Progress,Aggregate Demand and the Supermultiplier

ABSTRACT

The paper investigates the determinants of private investment and economic growth from a theoretical perspective. We start with a critical analysis of the crowding-out effect and we present a new version of the Sraffian Supermultiplier: a model that accounts for both the multiplier and accelerator effects. We focus on different types of fiscal policies: generic ones and ‘mission-oriented’ ones that set a new direction for the economy. We show that mission-oriented policies have the potential to generate the largest positive effect on investments and output growth as well as on innovation processes and labour productivity growth.     

Organisational regulatory legitimacy,entrepreneurial orientation,and SME innovation: an optimal distinctiveness perspective

The optimal distinctiveness perspective argues that firms face competing pressures to be both ‘like’ and ‘different from’ their peers. On the one hand, institutional scholars assert that firms need to be similar to peers in order to gain legitimacy. On the other hand, strategy scholars insist that firms need to strive to be different to gain competitive advantage. In order to enrich the optimal distinctiveness perspective, the present study builds a conceptual model that addresses the relationships among organisational regulatory legitimacy, entrepreneurial orientation, and SME innovation under the context of China’s transition economy. Our empirical results show that organisational regulatory legitimacy has an inverted-U relationship with SME innovation. Further, entrepreneurial orientation strengthens this inverse-U shaped relationship. That is, entrepreneurial orientation magnifies both the positive and the negative effect of organisational regulatory legitimacy on SME innovation. This study echoes to the call to conduct broader optimal distinctiveness research by integrating institutional theory and strategic management. Furthermore, our findings provide new evidence for the strategic balance perspective of optimal distinctiveness.     

自然资源依赖对城乡收入差距的影响研究

［目的］针对全国31个省（市、区）（不含港澳台地区）、自然资源依赖度高的地区和自然资源依赖度低的地区，从整体和分区域研究自然资源依赖对城乡收入差距的影响，探究不同区域其影响程度的差异性，进而为弱化各区域城乡收入差距，解决由城乡收入差距拉大造成的各类社会矛盾具有重要的现实意义。［方法］从理论上分析了自然资源依赖对城乡收入差距的影响，并利用1999—2017年的省级面板数据，运用固定效应模型，从全国和分区域实证分析了自然资源依赖对城乡收入差距的影响。［结果］针对全国，自然资源依赖会拉大城乡收入差距； 分区域结果，针对自然资源依赖度高的地区，自然资源依赖拉大城乡收入差距； 针对自然资源依赖度低的地区，自然资源依赖对城乡收入差距影响不显著。［结论］为缩小城乡收入差距，需要降低经济体对自然资源的依赖，针对自然资源依赖度高的地区，政府通过将部分自然资源收益转化为农业创新基金和农村基础设施投入，促进自然资源收益向农村公共资本转化，完善现有的自然资源收益分配及转化制度； 鼓励资源型产业技术创新，加大研发投入，延长资源产业链； 加大农村教育投入、提升农村人力资本质量。     

Inferring latent social networks from stock holdings

We infer the latent social networks of investors using data on their stock holdings. We map linkages to portfolio weights using a portfolio-choice model. The precision of an investor’s private signal about firm value is assumed to increase with his connections in the city where the firm is headquartered. Using money-manager data, we find that managerial linkages to a city are overly dispersed relative to the Erdös–Rényi model of i.i.d. connections. Managers at the tail of this distribution with non-i.i.d. linkages have more university alumni in that city. Their stock holdings there outperform their holdings in other cities.