Technology transfer in East Asia and its implications for regional cooperation∗

The importance of technology in economic development is indisputable. A large part of the developmental process in East Asian countries has been greatly accelerated by the transfer of technology from developed countries. This paper, based on detailed data obtained from selected samples of about 100 companies in Korea, Taiwan, Singapore, Malaysia, Thailand, and Indonesia, examines several key determinants of the process of acquisition, assimilation and internalization of imported technology in business enterprises. Drawing on the findings, this paper also suggests several implications for regional cooperation in enhancing the process of technology transfer in East Asia.     

The possible adverse impact of innovation subsidies: some evidence from Italy

The impact of public funding on innovative productivity is estimated using a sample of Italian firm-level data (CIS3). A bivariate endogenous switching model is developed in order to free the analysis of the sources of sample selection and firm heterogeneity, the possible simultaneity between subsidy allocation and the qualitative composition of the innovative output, as well as the endogeneity of public support with respect to innovative performance. Results show that innovative productivity is negatively affected by the subsidy; as a result of government intervention, supported firms appear to exhaust their advantage through merely increasing their innovative expenditures.     

Toward a continuum of measurement scales in Just-in-Time (JIT) research – an examination of the predictive validity of single-item and multiple-item measures

We compare the predictive validity of single-item and multiple-item measures utilized in Just-in-Time (JIT) research. The study examines if single-item measures could be used for some of the JIT practices, especially if the object of inquiry is concrete singular and if the attribute to be researched is concrete. Arguments are developed for the concrete nature of the JIT practice of “set-up time reduction” and we examine the ability of a single-item measure of this variable to predict the criterion variable (delivery performance). In addition, the study also examines the efficacy of using multiple-item measures for variables that are abstract in nature, and thereby attempts to develop a continuum of JIT constructs ranging from concrete to abstract. The results obtained by analyzing two sets of survey data show that multiple-item measures are not necessarily more valid than single-item measures for all constructs. The findings provide evidence that multiple-item measures and single-item measures for scale development should be contingent upon the nature of constructs. For concrete constructs, single-item measures are as valid as multi-item measures. Meanwhile, for abstract constructs it is important to ensure that multiple items are considered to capture the multi-dimensional nature of these constructs. Results also reveal that JIT practices display significant differences in terms of abstract/concrete perceptions. The paper presents theoretical and practical implications of the findings, and offers directions for future research.     

Productivity growth,Smith effects and Ricardo effects in Euro Area's manufacturing industries

We analyse the determinants of labour productivity across (a sample of) EA member states. We focus on the divergent dynamics before and after the financial crisis, and of core countries relative to peripheral countries. We ground our empirical analysis in Paolo Sylos-Labini's productivity equations. We test different models, including a Panel 2S-LS model and a Panel vector autoregression model. Our preliminary findings confirm and strengthen Sylos-Labini's main insights. Labour productivity in manufacturing industries is strongly and positively correlated with the market size (Smith effect), the relative cost of labour (Ricardo effect), the absolute cost of labour (organization effect) and past investment, whereas it is negatively correlated with current investment. Furthermore, we find evidence that the crisis has affected the size of these effects. Focusing on the core periphery dichotomy, the signs of the effects are the same for both groups of countries, although the Smith, Ricardo and long-run investment effects are usually stronger for core countries compared to peripheral countries. The opposite holds for the organization effect, while investment effects are less clear.     

Network valuation in financial systems

We introduce a general model for the balance‐sheet consistent valuation of interbank claims within an interconnected financial system. Our model represents an extension of clearing models of interdependent liabilities to account for the presence of uncertainty on banks' external assets. At the same time, it also provides a natural extension of classic structural credit risk models to the case of an interconnected system. We characterize the existence and uniqueness of a valuation that maximizes individual and total equity values for all banks. We apply our model to the assessment of systemic risk and in particular for the case of stress testing. Further, we provide a fixed‐point algorithm to carry out the network valuation and the conditions for its convergence.     

Students’ perception of CSR and its influence on business performance. A multiple mediation analysis

Firm managers play an important role in the implementation of corporate social responsibility (CSR) actions. Education is emerging as the key factor in developing a sense of moral responsibility amongst the business students who will eventually become company managers and decision makers. The aim of this research is, thus, twofold. First, to analyze the existence of a direct positive correlation between university students’ perception of CSR and its impact on business performance; and second, to examine the extent to which two factors (advantages brought by CSR and responsibilities toward stakeholders) act as mediation variables in the aforementioned correlation. The analysis was performed with a sample of 390 business‐related university students. Amongst the potential contributions made by this study we can highlight the possibility of knowing future managers’ way of thinking and of knowing the aspects where educational centers might improve their CSR teaching.     

善用大数据“资产”

正成功的关键因素是首先要把数据看作是资产——作为建立价值主张和商业模式的基础;其次,努力培养利用大数据潜能的各种能力,或许最重要的是要用创新的方式打破现有的商业模式"创新,究其本质,意味着迈出一大步,做出重大变革……实际上,创新之前最佳的‘做事方式’在创新之后就不再是最佳方式了。"20世纪著名经济学家约瑟夫·熊彼德的话,反映出大数据的潜能,它可以创造性地破坏现有的商业模式。世界数据总量的90%是在过去两年产生的,预计全球商业数据量每1.2年就翻1倍,2020年产生的数据量将是2009年的44倍。     

Why Is Italy Doing So Badly?

We analyse the current Italian economic crisis as a phase of a major systemic decline. We argue that ‘Italy's system’ has forced the country to abandon a dynamic view of comparative advantage, crucial for sustained economic growth, in favour of a static view of specialisation. Creative destruction has been hampered and sectoral restructuring has not occurred, resulting in stagnation. The roots of this decline lie in collective action issues and an implicit contract between elites and civil society. We suggest that these issues must be resolved if the Italian economy and society are to revive.     

Strategic Planning and Institutional Collective Action in Italian Cities

Long-run and sustainable development is a main source of concern for contemporary cities. To address this issue, strategic plans have been introduced in several cities. In this paper, we investigate the determinants of strategic plan adoption in Italian cities by relying on the institutional collective action theory which predicts that collaboration among institutions is more likely to occur in areas with larger social capital stock and where public bodies share a common history of collaboration. Our econometric evidence shows that a larger stock of social capital and a history of past institutional collaboration increases the probability of adopting a strategic plan, confirming the central prediction of the institutional collective action theory.