The influence of scope, depth, and orientation of external technology sources on the innovative performance of Chinese firms

It is commonly accepted nowadays that external knowledge sources are important for firms' innovative performance. However, it is still not clear, what dimensions of firms' external knowledge search strategy are crucial in determining their innovation success and whether these search strategies are contingent on different innovation modes. In this study, we analyse how the innovative performance is affected by the scope, depth, and orientation of firms' external search strategies. We apply this analysis to firms using STI (science, technology and innovation) and DUI (doing, using and interacting) innovation modes. Based on a survey among firms in China, we find that greater scope and depth of openness for both innovation modes improves innovative performance indicating that open innovation is also relevant beyond science and technology based innovation. Furthermore, we find that decreasing returns in external search strategies, suggested by Laursen and Salter (2006), are not always present and are contingent on the innovation modes. Next, we find that the type of external partners (we label it “orientation of openness”) is crucial in explaining innovative performance and that firms using DUI or STI innovation modes have different sets of relevant innovation partners. This shows that the orientation of openness is an important dimension—in addition to the scope and depth of openness. As respondents are located in China, this study provides evidence that open innovation is also relevant in developing countries.     

世博会与上海旅游产业簇群化发展研究

本文分析了上海旅游簇群的必要性和可行性,世博会对上海旅游产业簇群的形成、繁衍扩散和网络化发展的推动作用,以及上海旅游产业簇群在世博会举办前、中、后应采取的不同发展模式。世博会和簇群相结合,能实现上海旅游产业有效接受"世博效应"的辐射和自身"簇群效应"的放大,提升上海旅游产业的国际竞争力和促进上海经济的繁荣。     

The impact of business innovation modes on SME innovation performance in post-Soviet transition economies: The case of Belarus

This study analyzes the most effective innovation modes (‘science and technology-based innovation’, STI, and ‘doing, using and interacting-based innovation’, DUI) for business innovation performance in the context of post-Soviet Transition Economies (PSTE). Their specificities are expected to influence both their business innovation modes and their impact on innovation output. In particular, we aim at identifying the specificities of PSTE in that the DUI mode alone (and its specific drivers) is more relevant than the STI mode alone (and its drivers). In our hypothesis, this outcome should be even stronger in the context of non-technological types of innovation (e.g. organizational innovation).     

中长跑训练对男大学生左心室收缩功能的影响

通过对我院20名中长跑专项大学生和20名普通大学生递增负荷运动过程中左心室收缩功能变化特征的实验研究,探讨中长跑训练对大学生左心室收缩功能的影响。结果发现:安静及递增负荷运动过程中中长跑专项学生LVET和PEP相对较长;递增负荷运动过程中,HR、LVET、PWTT、Q-U和HWT可作为评价中长跑专项学生心脏功能的重要指标。     

How do firm characteristics affect behavioural additionalities of public R&D subsidies? Evidence for the Austrian transport sector

Interest of STI policies to influence the innovation behaviour of firms has been increased considerably. This gives rise to the notion of behavioural additionality, broadening traditional evaluation concepts of input and output additionality. Though there is empirical work measuring behavioural additionalities, we know little about what role distinct firm characteristics play for their occurrence. The objective is to estimate how distinct firm characteristics influence the realisation of behavioural additionalities. We use survey data on 155 firms, considering the behavioural additionalities stimulated by the Austrian R&D funding scheme in the field of intelligent transport systems in 2006. We focus on three different forms of behavioural additionality—project additionality, scale additionality and cooperation additionality—and employ binary regression models to address this question. Results indicate that R&D related firm characteristics significantly affect the realisation of behavioural additionality. R&D intensive firms are less likely to substantiate behavioural additionalities, while small, young and technologically specialised firms more likely realise behavioural additionalities. From a policy perspective, it may be concluded that direct R&D promotion of firms with a high R&D intensity may be misallocated. Attention of public support should be shifted to smaller, technologically specialised firms with lower R&D experience. The findings deliver important insights into interactions of public R&D support and R&D behaviour of firms operating in the Austrian transport sector, bearing significant implications for future policy designs.     

Indifference,indecision, and coin-flipping

This article operationalizes a non-empty relation as implied if strict preference and indifference jointly do not completely order the choice set. Specifically, indecision is operationalized as a positive preference for delegating choice to a least predictable device.     

Taxation, money, and credit, in a liberalizing socialist economy

Understanding the system of financial control in the pre-existing régime of classical socialism is a key to understanding what might go wrong in the transition. Accordingly, this paper proceeds in four steps by examining:

Externalities, Indivisibility, Nonreplicability, and Agglomeration

In this paper we argue that the impact of external scale economies and diseconomies on city size is not nearly as clear-cut as it is tacitly believed in urban economics. Similarly, city-size distortions are not caused by externalities alone. Indivisibility and nonreplicability, which prevent establishing the “right” number of cities, may represent a source for city-size distortions which can be stronger than the standard resource misallocation resulting from external scale economies and diseconomies. It follows that a direct population dispersion policy is not just an inferior substitute to Pigouvian taxes and subsidies but rather a useful complement.     

Returns to specialization,competition, population,and growth

Using an expanding-variety endogenous growth model with purposive human capital accumulation, this paper provides an alternative explanation of why we may observe an ambiguous correlation between product market competition (PMC) and economic growth, and between population and economic growth rates. Our explanation is based on the notion of ‘returns to specialization’. Under the model's assumptions, PMC and economic growth are ambiguously correlated when returns to specialization are decreasing, whereas population growth and productivity growth are ambiguously correlated when returns to specialization are increasing. From a theoretical point of view, these results are explained by the presence or absence of an ‘increasing production-complexity’ effect associated to the use of a larger number of intermediate-input varieties in the same production process.     

Adoption,diffusion, and public R&D

This paper studies the impact of public RD&D (Research, Development, and Demonstrations) on the market penetration of a new government-sponsored technology. First, the technology adoption behavior of a firm under uncertainty is reviewed. Secondly, the diffusion of the new technology in a competitive industry that benefits from learning-by-doing is analyzed. Numerical simulations are conducted to determine the effect that variations in government R&D policies have on the rate and level of market penetration. Productive R&D investments affect thelevel of diffusion and R&D demonstrations therate of diffusion.     

Nonlinearity,nonstationarity, and spurious forecasts

Implications of nonlinearity, nonstationarity, and misspecification are considered from a forecasting perspective. Our model allows for small departures from the martingale difference sequence hypothesis by including a nonlinear component, formulated as a general, integrable transformation of the I(1)$I(1)$ predictor. We assume that the true generating mechanism is unknown to the econometrician and he is therefore forced to use some approximating functions. It is shown that in this framework the linear regression techniques lead to spurious forecasts. Improvements of the forecast accuracy are possible with properly chosen nonlinear transformations of the predictor. The paper derives the limiting distribution of the forecasts’ mean squared error (MSE). In the case of square integrable approximants, it depends on the _L2$L_2$-distance between the nonlinear component and approximating function. Optimal forecasts are available for a given class of approximants.     

Capitalist crisis,neo-dualism,and marginalization

La crise économique actuelle, et de là, le ralentissement ou la réduction de l'accumulation capitaliste a, bien sûr, conduit à de nouvelles tentatives pour augmenter l'exploitation de la classe ouvrière. La réussite ou l'échec de ces tentatives dépendra du degré de résistance qu' on leur opposera. Cet article examine un certain nombre de stratégies capitalistes possibles, ainsi que leurs faiblesses. Il s'attache tout particulièrement à l'existence d'une couche grandissante d'ouvriers sans emploi ou sous-employés, qui peuvent être largement exploités. Mais cette solution tend à accroître l'inadaptation sociale, en même temps qu'elle augmente fortement le fardeau de la Sécurité sociale, et à plus longue échéance, a des conséquences économiques douteuses. En conclusion, l'article rattache le récent accroissement de la lutte urbaine et régionale en Italie, à cette perspective plus vaste.     

Menger, Jevons, and Walras Un-homogenized, De-homogenized, and Homogenized: A Comment on Peart

Abstract . Response to Sandra J, Peart, “Jevons and Menger Re-homogenized?: Jaffé After 20 Years,” 1998. The American Journal of Economics and Sociology 57(July): 307-325.     

The Who,Where, What,How and When of Market Entry

This introductory, along with the eight articles contained within this Special Issue, highlights and brings greater clarity to entrant‐incumbent interactions and to firm movement – when entrants traverse market territories for the creation and/or delivery of offerings, where ‘markets’ include service or product categories, technology or resource spaces, industries, sectors and/or geographies. Collectively, this Special Issues explains that firm movement across market boundaries is highly consequential, influencing resource‐capability mixes inside firms, interfirm relations, market logic and industry value chains, and of course, people, communities and even nations. Specifically, we develop a field‐wide perspective of market entry by expanding on the framework of market entry that Zachary and his colleagues developed (Zachary et al., 2015) – i.e., the who (players such as incumbents, entrants, suppliers, etc.), when (the timing and sequence of entry), how (the strategy, resources, capabilities, etc.), where (the space of entry) and what (product, service, business model, etc.) – to include two additional categories: complements (networks, platforms, ecosystems) and non‐market elements (government, political, social and cultural arrangements). We also summarize the eight highly diverse and insightful articles that make this Special Issue, and conclude with a discussion to highlight foundational questions that point to new directions in future research in this field. In sum, we hope to inspire scholars to go beyond counting outcomes (e.g., entry/exit rates, or profiling successful versus unsuccessful entrants), to consider contexts, processes and contingencies (e.g., cost, time, collaboration, competition, interfirm relations, etc.) and to discover boundary conditions that inform a theory of market entry.     

Skills,core capabilities,and the choice between merging,allying, and trading assets

We analyze two firms’ choice between merging, allying, and trading assets. We consider a setting in which firms have assets, skills, and core capabilities; skills are the component of organizational capital that increases in the course of joint operations, core capabilities the component that does not. We find that the two firms trade assets for them to operate separately in case the two firms have high initial skills; the two firms merge in case they have similar core capabilities; they ally where there is little equilibrium double moral hazard. We compare the times to dissolution in the alliance with those to divesture or post-merger integration in the merger; for all but the last jointly operated asset, we find that joint operations cease earlier in the alliance than in the merger.     

Stability,pseudo-stability,information and pseudo-information

This paper takes issue with Kuhner (1997) on four main points:

? the implications of accounting conventions, principles and valuation conventions;

? the role of Notes to the accounts;

? the relationship between distributable profits and liquidity;

? the significance of the efficient markets hypothesis.

Kuhner's desire to make (page 749) ‘published data on companies as informative as possible’ is strongly supported, but we differ on what this may mean in practice.     

Reciprocity,Multiplexity, and Exchange: Measures

We introduce measures and statistical tests for multiplexity and exchange that are modeled on similar ideas developed for reciprocity quite early in the history of social network research. As properties of a multi-relation network, multiplexity, and exchange have almost as ancient a history as reciprocity, but have not been as intensively investigated from a methodological perspective. Multiplexity refers to the extent to which two ties, for example, advice and friendship, coincide over population; that is, do respondents name the same people as friends as the persons they nominate as individuals from who they seek advice. Exchange refers to the extent to which a tie of one type directed from person i to person j is returned by a tie of another type from j to i. We conceive of the current paper as the first part of a two-part paper, wherein the second part explores specific theoretical models for multiplexity and exchange.     

Errors, robustness, and the fourth quadrant

The paper presents evidence that econometric techniques based on variance–L² norm–are flawed and do not replicate. The result is un-computability of the role of tail events. The paper proposes a methodology to calibrate decisions to the degree (and computability) of forecast error. It classifies decision payoffs in two types: simple (true/false or binary) and complex (higher moments); and randomness into type-1 (thin tails) and type-2 (true fat tails), and shows the errors for the estimation of small probability payoffs for type 2 randomness. The fourth quadrant is where payoffs are complex with type-2 randomness. We propose solutions to mitigate the effect of the fourth quadrant, based on the nature of complex systems.     

Reward Contingency, Unemployment, and Functional Turnover

Based on the valence model of expectancy theory and the Cornell model of job satisfaction, this field study investigated the relationship between reward contingency, unemployment, pay satisfaction, job satisfaction, and functional turnover. The latter of which separates turnover into four categories: poor performing leavers, good performing leavers, poor performing stayers, and good performing stayers. It was conducted with a geographically dispersed sample of sales representatives (i.e., from 25 states and 66 cities), resulting in unemployment rates that ranged from 2 percent to 12 percent. The sales representatives were employed by four companies that paid different combinations of salary and commissions, ranging from mostly salary and little commission to 100 percent commission. A discriminant analysis accounted for 62 percent of the variance in functional turnover and achieved an overall classification hit rate of 67 percent across the four functional turnover groups. Follow-up univariate analyses indicated that objective reward contingency (R²=.34), state unemployment (R²=.11), state sales unemployment (R²=.08), education (R²=.09), and tenure (R²=.08) accounted for most of the variance in functional turnover. Perceived reward contingency, pay satisfaction, job satisfaction, age, and gender were not related to functional turnover.     

Introduction to internally consistent modeling,aggregation, inference,and policy

This special issue of the Journal of Econometrics honors William A. Barnett’s exceptional contributions to unifying economic theory with rigorous statistical inference to interpret economic data and inform public policy. It is devoted to papers that advance microeconometrics, macroeconometrics, and financial econometrics to build models to interpret evidence.