Trust or bust: Growth effects of knowledge,human and social capital revisited

Social capital consists of trust, collective values, and shared norms. It helps society to work efficiently and, hence, promotes knowledge accumulation and growth. This paper identifies the contribution of social capital to differences in total factor productivity among European subnational regions, but, unlike other studies, it focuses on the effects of interregional differences in social capital. To do so, the paper employs a spatial Durbin model of a social-capital extended Cobb-Douglas production function. Our results suggest that transfers of knowledge might be secondary to the presence of collectivism and human capital in knowledge-generating regions. Although knowledge can cross boundaries, an absence of skills and trust limits local growth capacity. Our estimations also suggest the presence of gravity effects emanating from social and human capital in which some regions lose against others nearby that have more abundant social and human capital.     

An empirical study on the correlation between knowledge management capability and competitiveness in Taiwan’s industries

There have been dramatic changes in business enterprise management since Internet technology has been widely applied. Worldwide network users can share all kinds of knowledge through the Internet. Knowledge has currently become a main part of manufacturing resources and a prerequisite for success in the production environment. Competitiveness and the resulting rewards can be obtained by taking advantage of knowledge management (KM) and intensive learning. This empirical study validates the relationship between knowledge management capability and competitiveness in Taiwan’s industries. This research shows the impact of knowledge management capability on competitiveness. A hypothesis test and theoretical model are proposed in this study.     

Bridging the barriers: knowledge connections,productivity and capital accumulation

The paper contributes to the explanation of the large differences in cross-country productivity performance by modelling and testing the effects of social barriers to communication on productivity and capital accumulation. In an optimal growth model, social barriers to communication, which impede the formation of knowledge connections, are shown to reduce both transitory and steady-state levels of total factor productivity (TFP), per capita consumption and reproducible capital. Empirical testing yields a robust and theoretically consistent result: linguistic barriers to communication reduce productivity and capital accumulation. The findings provide an explanation for cross-country differences in TFP, and fresh insights into how productivity ‘catch up’ may be initiated.

Causes and consequences of psychological contracts among knowledge workers in the high technology and financial services industries

As organizations shift the central focus of their competitive strategy away from value appropriation towards value creation it is to knowledge workers that they will look to provide the innovation to fuel their continued development. The state of the relationship between the knowledge worker and the employer - the psychological contract - will determine whether this source of innovation and creativity is released. In this study, we developed and tested a causal model of the causes and consequences of psychological contract. Over four hundred participants who were knowledge employees drawn from eleven leading edge companies in the high-technology software, manufacturing and financial services sector participated in the study. We found support for the hypothesis that the psychological contract and those organizational processes relating to procedural justice would have a direct effect on two critical organizational outcomes, namely, employee commitment and intention to remain with the organization. We also found support for the hypothesis that psychological contract variables mediated the relationship between organizational processes and employee commitment and intention to stay with the organization.     

技术外溢与吸收能力:基于开放经济下的内生增长模型分析

通过构建中间产品种类扩张型的内生增长模型,本文探讨了开放经济条件下技术外溢与本国技术吸收能力影响长期经济增长的内在机理。对模型的竞争性市场均衡分析得到了均衡增长路径的稳态增长率,并就解的政策含义进行了讨论。模型的基本结论是：技术吸收能力的提高、人力资本积累以及适度的知识产权保护有利于长期经济增长,然而贸易开放度、技术水平差距对稳态增长率的影响效应具有不确定性。     

能源、技术与经济增长——基于中国与印度的比较分析

本文在Romer(1990)内生经济增长模型的基础上,以加入能源因子和将技术因子与能源、劳动力相融合为特征,得到更贴近现实的反映经济增长的产出方程式。通过检验中国和印度1965~2004年间的实证数据,运用VAR模型、Johansen协整检验和向量误差修正模型(VECM)等方法,对两国的能源及技术与经济增长的长期关系和短期动态影响进行了比较分析。结果显示:长期中,加入技术变量的能源因素与经济增长的弹性关系,中国表现为负,而在印度为正;技术对于经济增长的总体贡献,印度高于中国。短期中,能源与技术因素的短期波动对中国的经济增长影响较强;而资本的短期波动对印度的经济增长影响较强。     

Growth effects of annuities and government transfers in perpetual youth models

We show that in overlapping generations endogenous growth models with uncertain lifetime, the introduction of government transfers always increases economic growth by crowding out the private annuity market and increasing accidental bequests. In particular, if the government imposes a flat-rate consumption tax (which is neutral to the consumption–saving margin), uses part of the tax revenue for unproductive purposes, and rebates the rest equally across agents as a lump-sum transfer, the economy grows faster and improves the welfare of future generations.     

组织适应力与战略选择：企业成长的双重主题

市场环境和组织内部环境变化日益加快,企业的成长是否具有可持续性愈来愈成为战略管理的理论与实践所关注的内容。分析了战略选择与组织适应能力互补互动对企业的可持续成长的重要影响。     

Firm heterogeneity, productivity and spatially bounded knowledge externalities

In this paper, we argue that conceptually disentangling the ‘context versus composition’ aspects of regional growth is a multilevel issue. By applying multilevel models (also called random-effects models), we show (1) the importance of considering firm-specific characteristics simultaneously with region-specific characteristics, as we find that a large part of what is traditionally assigned to the impact of the region should be assigned to firm-specific characteristics and (2) that existing single-level methodologies can be problematic, as they are vulnerable to the charge of estimating significance levels that are too liberally assigned and promote exaggerations. This is illustrated empirically by showing that single-level approaches would lead to the conclusion that innovation spillovers are highly significant in a setting of Dutch urban growth differentials, while multilevel analyses shows less liberally assigned significance levels. We conclude that multilevel-effect models better fit research questions that combine firm and spatial characteristics simultaneously, especially because they allow firm-specific characteristics to be differently linked to their regional contexts.     

Differences in technology transfer between science-based and development-based industries: Transfer mechanisms and barriers

Although several studies in the wide body of literature on technology transfer have hinted at differences across industries, this still remains an understudied issue. Our study addresses this topic and considers to what degree technology transfer processes differ across different industrial sectors. To that end, we study to what extent technology transfer processes differ along both types of transfer mechanisms and key barriers inhibiting the transfer process. Based on a survey of Dutch practitioners on both sides of the transfer process, we test a number of hypotheses that differentiates between science-based regimes and development-based regimes. While our findings confirm our hypotheses concerning differences between the regimes regarding the use of specific transfer mechanisms, we also find that both regimes share a number of mechanisms that are similar. In addition, our findings show a remarkable degree of similarity among barriers inhibiting the process. We discuss these findings within the context of the broader literature and formulate policy implications.     

Growth vs. level effect of population change on economic development: An inspection into human-capital-related mechanisms

This paper studies the different mechanisms and the dynamics through which demography is channeled to the economy. We analyze the role of demographic changes in the economic development process by studying the transitional and the long-run impact of both the rate of population growth and the initial population size on the levels of per capita human capital and income. We do that in an enlarged Lucas–Uzawa model with intergenerational altruism. In contrast to the existing theoretical literature, the long-run level effects of demographic changes, i.e. their impact on the levels of the variables along the balanced growth path, are deeply characterized in addition to the more standard long-run growth effects. We prove that the level effect of the population rate of growth is non-negative (positive in the empirically most relevant case) for the average level of human capital, but a priori ambiguous for the level of per capita income due to the interaction of three transmission mechanisms of demographic shocks, a standard one (dilution) and two non-standard (altruism and human capital accumulation). Overall, the sign of the level effects of population growth depends on preference and technology parameters, but numerically we show that the joint negative effect of dilution and altruism is always stronger than the induced positive human capital effect. The growth effect of population growth depends basically on the attitude to intergenerational altruism and intertemporal substitution. Moreover, we also prove that the long-run level effects of population size on per capita human capital and income may be negative, nil, or positive, depending on the relationship between preferences and technology, while its growth effect is zero. Finally, we show that the model is able to replicate complicated time relationships between economic and demographic changes. In particular, it entails a negative effect of population growth on per capita income, which dominates in the initial periods, and a positive effect which restores a positive correlation between population growth and economic performance in the long term.     

Growth, cycles and convergence in US regional time series

This article reports the results of fitting unobserved components (structural) time series models to data on real income per capita in eight regions of the United States. The aim is to establish stylised facts about cycles and convergence. It appears that while the cycles are highly correlated, the two richest regions have been diverging from the others in recent years. A new model is developed in order to characterise the converging behaviour of the six poorest regions. The model combines convergence components with a common trend and cycles. These convergence components are formulated as a second-order error correction mechanism which allows temporary divergence while imposing eventual convergence. After fitting the model, the implications for forecasting are examined. Finally, the use of unit root tests for testing convergence is critically assessed in the light of the stylised facts obtained from the fitted models.     

News shock,firm dynamics and business cycles: Evidence and theory

The literature of expectation-driven business cycles has overlooked the role played by endogenous entry. This paper documents empirically news shock as a major source of fluctuations in firm dynamics and comovement between firm entry and GDP using structural vector auto-regressions. We then develop a tractable dynamic stochastic general equilibrium model to study the propagation mechanism assuming fixed operating costs for incumbents and decreasing survival rates for entrants. Our quantitative prediction closely matches the positive comovement between firm entries and core macroeconomic indicators upon news shock. These results remain robust at the sectoral level when the baseline model is extended to a two-sector setup.     

Learning cycles in Bertrand competition with differentiated commodities and competing learning rules

This paper stresses the importance of heterogeneity in learning. We consider a Bertrand oligopoly with firms using either least squares learning or gradient learning for determining the price. We demonstrate that convergence properties of the rules are strongly affected by heterogeneity. In particular, gradient learning may become unstable as the number of gradient learners increases. Endogenous choice between the learning rules may induce cyclical switching. Stable gradient learning gives higher average profit than least squares learning, making firms switch to gradient learning. This can destabilize gradient learning which, because of decreasing profits, makes firms switch back to least squares learning.     

Equilibrium dynamics in a class of one-sector endogenous growth models with external habits: An application of special functions

This paper analyzes the equilibrium dynamics in a class of one-sector endogenous growth models with external habits. Using an explicit solution expressed in terms of the Gauss hypergeometric function, we show that the levels of consumption, habits and capital may exhibit non-monotonic transition dynamics, even though their ratios converge monotonically. A numerical simulation illustrates this result.     

Right answers and right-wrong answers: Sources of information influencing knowledge of nuclear-related information

Surveys in 2008 and 2009 asked almost 6000 United States residents to indicate their knowledge about the use of nuclear and other sources of energy, and the disposition of nuclear waste. Less than 10% of respondents knew where spent commercial nuclear fuel is stored. With regard to knowledge about fuel for electrical energy, respondents overestimated solar and wind use and underestimated coal use. These responses are consistent with mass media coverage of these issues. The mass media were the source of information for the vast majority of respondents. However, the likelihood of right answers to our questions increased as reliance on the mass media decreased, and it increased with use of books, magazines, personal contacts and the web. Educated affluent white males with strong preferences for nuclear energy disproportionately were knowledgeable. These observations demonstrate the daunting challenge of providing information about subjects that are largely distant and disconnected from the public’s lives. The Department of Energy, Nuclear Regulatory Commission, state and local health, environmental and energy agencies, and facility owners and operators have huge domestic political, national security and economic stakes in improving the factual grounding of public reactions to energy production and waste management choices.     

At the temporary-permanent interface: Overcoming knowledge boundaries with boundary objects

There is no shortage of literature on managing complex projects. However, we lack an understanding of projects in which the complexity goes beyond technical, financial and time-related challenges. We report on two Nordic business school accreditation projects, where the major management challenge is the knowledge boundaries institutionalized deep into the ethos of the schools. We focus on the project team’s use of boundary objects – a communication device across social groups – to expose and overcome knowledge boundaries materializing at temporary-permanent interface. We identify three progressively more challenging boundary object uses: informative, interactive and integrative. Consequently, we suggest a dynamic approach to boundary objects wherein their use evolves throughout the project life span as a consequence of the lived “in situ” experiences.     

A portfolio approach to endogenous growth: equilibrium and optimal policy

This paper develops a portfolio approach to modeling endogenous growth in continuous time that is especially suitable for addressing fiscal and financial issues in policy design. The analysis focuses on the equilibrium relationship between fiscal and financial policy, rates of return and wealth allocation. We analyze two models. The first is based on the Arrow-Romer model with increasing returns and an external effect of capital on labor productivity. The second draws on Barro's analysis of government spending and endogenous growth. In both models, we study the equilibrium allocation and discuss the optimal fiscal and financial policy.     

Agglomeration in an innovative and differentiated industry with heterogeneous knowledge spillovers

This paper introduces an agent-based simulation model to study the technological development, the economic performance of firms and the evolution of agglomerations in a differentiated industry. The analysis is based on the interaction and behavior of firms, which might share knowledge but at the same time are competitors on the goods markets. Firms do not only compete with quantities they can also introduce process and product innovations. The level of knowledge of a firm describes the capabilities to perform innovations. Knowledge can be accumulated by investing in R&D and by knowledge spillover, which depend on geographical and technological proximity. Simulation runs show that there is an incentive to agglomerate in young industries and that geographical proximity enhances innovation, especially the number of product innovations.      

Offshoring knowledge and service work: A conceptual model and research agenda

This paper presents two complementary conceptual models that help shed light on the complexities of offshoring service and knowledge work. In developing the model, we draw upon existing literature in the realm of service operations and delivery and build on insights from allied areas such as management and practice. The models offer a simple yet powerful way to conceptualize offshoring of knowledge and service work and to identify the inherent challenges that such strategies entail. The evolutionary model of offshoring parallels well-established work in the manufacturing literature to present a sequential view of building organizational competence in offshoring. The implications of the conceptual models have been discussed in a range of propositions that can be viewed as foundations for new inquiry in this research stream.