The Impact of Environmental Policy Stringency on Industrial R&D Conditional on Pollution Intensity and Relocation Costs

Stringent environmental regulations may encourage industrial innovation, as technological advancements lower the cost of pollution abatement (Popp et al. in Handbook of the economics of innovation, vol II. Academic Press, Burlington, pp 873–938, 2010). The pollution-havens hypothesis, on the other hand, indicates that, rather than innovating, dirty industries may relocate to countries with less stringent environmental regulations (Copeland and Taylor in J Econ Lit 42(1):7–71, 2004). Thus, more stringent environmental regulations may increase or decrease innovative activities. This paper examines empirically the impact of environmental regulations on R&D intensities and R&D expenditures in 21 manufacturing industries in 28 OECD countries from 2000 to 2007. I consider pollution intensity and the relative ease of relocation (immobility) as industry characteristics that determine the optimal industry response to increased environmental policy stringency. I find that more pollution intensive industries innovate less as regulatory environments become more restrictive relative to less pollution intensive industries. At the same time, more immobile industries innovate more than more mobile industries as environmental regulations become more stringent, illustrating innovation as an alternative to relocation.     

Effects of a blocking patent on R&D with endogenous survival activities

This study analyzes the effect of strengthening patent protection for innovation and economic growth by introducing a blocking patent into the endogenous growth model developed by Furukawa (Econ Lett 121(1):26–29, 2013a), which features survival activity of patent holders in the R&D sector with a variety-expansion model. Results show that strengthening patent protection can raise the economic growth rate and social welfare through an endogenous survival investment. Additionally, this study examines the effects of increasing subsidies for R&D. We find that increasing R&D subsidy rate can negatively affect economic growth and social welfare because of the investment for survival activities. This result shows the novel role of a blocking patent in determining innovation effects of R&D subsidies. Furthermore, we analyze the effect of patent breadth which is another patent instrument in this model on innovation and economic growth. Results show that the growth and welfare effects of the profit-division rule and the subsidy rate for R&D may vary with the size of patent breadth.     

The Lindahl equilibrium in Schumpeterian growth models

The main motivation of the paper is to determine the social value of innovations in a standard scale-invariant Schumpeterian growth model, which explicitly introduces knowledge diffusion over a Salop (Bell J Econ 10(1):141–156 1979) circle. The social value of an innovation is defined as the optimal value of the knowledge inherent in this innovation. We thus have to price optimally knowledge. For that purpose, contrary to what is done in standard growth theory, we complete the markets using Lindahl prices for knowledge. The Lindahl equilibrium, which provides the system of prices that sustains the first-best social optimum in an economy with non rival goods, appears as a benchmark. First, its comparison with the standard Schumpeterian equilibrium à la Aghion and Howitt (Econometrica (60)2:323–351 1992) enables us to shed a new light on the issue of non-optimality of the latter. Second, the Lindahl equilibrium also allows us to revisit the issue of R&D incentives in presence of cumulative innovations. Finally, this benchmark may be a first step to understand how knowledge is exchanged in new technology sectors.     

Development blocks in innovation networks

The notion of development blocks (Dahmén, 1950, 1991) suggests the co-evolution of technologies and industries through complementarities and the overcoming of imbalances. This study proposes and applies a methodology to analyse development blocks empirically. To assess the extent and character of innovational interdependencies between industries the study combines analysis of innovation biographies and statistical network analysis. This is made possible by using data from a newly constructed innovation output database for Sweden. The study finds ten communities of closely related industries in which innovation activity has been prompted by the emergence of technological imbalances or by the exploitation of new technological opportunities. The communities found in the Swedish network of innovation are shown to be stable over time and often characterized by strong user-supplier interdependencies. These findings serve to stress how historical imbalances and opportunities are key to understanding the dynamics of the long-run development of industries and new technologies.     

Innovation and productivity in manufacturing and service firms in Catalonia: a regional approach

This article analyses the determinants of research and development (R&D) and the role of innovation on labour productivity in Catalan firms. Our empirical analysis found a considerable heterogeneity in firm performances between the manufacturing and service industries and between low- and high-tech industries. The frontiers that separate manufacturing and service industries are increasingly blurred. In Catalonia high-tech knowledge-intensive services (KIS) play a strategic role in promoting innovation in both manufacturing and service industries, and driving growth throughout the regional economy. Empirical results show new firms created during the period 2002–2004 that have a greater R&D intensity than incumbent firms (54.1% in high-tech manufacturing industries and 68.8% in high-tech KIS). Small and young firms in the high-tech KIS sector are very prone to carrying out R&D and they invest more in innovation projects. R&D expenditures, output innovation, investment in physical capital, market share and export have positive effects on labour productivity in both the manufacturing and service sectors. Firm size, on the other hand, has a positive effect on productivity in manufacturing industries but not in services.     

Trade and the Transmission of Technology

This paper integrates earlier studies on the link of productivity and research and development (R&D) in different industries of a closed economy with the more recent emphasis on R&D-driven growth and international trade in open economies. In this framework, technology in the form of product designs is transmitted to other industries, both domestically as well as internationally, through trade in differentiated intermediate goods. I present empirical results based on a new industry-level data set that covers more than 65 percent of the worlds manufacturing output and most of the worlds R&D expenditures between 1970 and 1991. The analysis considers productivity effects from R&D in the domestic industry itself, from R&D in other domestic industries, as well as in the same and other foreign industries. I estimate strong productivity effects both from own R&D spending and R&D conducted elsewhere. The contribution of R&D in the industry itself is about 50 percent in this sample. Domestic R&D in other industries is the source of 30 percent of the productivity increases, and the remaining 20 percent are due to R&D expenditures in foreign industries.     

On Environmental Regulation of Oligopoly Markets: Emission versus Performance Standards

By specializing Montero’s (J Environ Econ Manag 44:23–44, 2002) model of environmental regulation under Cournot competition to an oligopoly with linear demand and quadratic abatement costs, we extend his comparison of firms incentives to invest in R&D under emission and performance standards by solving for a closed form solution of the underlying two-stage game. This allows for a full comparison of the two instruments in terms of their resulting propensity for R&D and equilibrium industry output. In addition, we incorporate an equilibrium welfare analysis. Finally, we investigate a three-stage game wherein a welfare-maximizing regulator sets a socially optimal emission cap under each policy instrument. For the latter game, while closed-form solutions for the subgame-perfect equilibrium are not possible, we establish numerically that the resulting welfare is always larger under a performance standard.     

Malaysia-EU trade at the industry level: Is there an asymmetric response to exchange rate volatility?

Aftab et al. (Empirica 43:461–485, 2016) in this journal assessed the impact of exchange rate volatility on Malaysia-EU trade at commodity level using the linear ARDL approach of Pesaran et al. (J Appl Econom 16:289–326, 2001) and did not find significant effects in most of the 81 Malaysian exporting and 66 importing industries. In this paper, we argue for asymmetric effects of exchange rate volatility on the same industries’ trades which implies using Shin et al.’s (Festschrift in Honor of Peter Schmidt, Springer, New York, 2014) nonlinear ARDL approach. While we find short-run asymmetric effects of volatility in almost all industries, we find evidence of adjustment asymmetry in 17 exporting and nine importing industries. We also find significant impact or short-run cumulative asymmetry in 12 exporting and six importing industries. The most important finding is significant long-run asymmetric effects in 36 Malaysian exporting industries and 25 Malaysian importing industries. Clearly, trade flows react to an increased exchange rate volatility differently than to a decreased volatility.     

Productivity and R&D sources: evidence for Catalan firms

This paper draws on a sample of innovative Catalan firms to identify how two main sources of innovation – internal R&D and external R&D acquisition – affect productivity in the manufacturing and service industries. The sample comprises 1612 innovative firms from the fourth European Community Innovation Survey (CIS-4) during the period 2002–2004. We compare empirical results when applying the usual OLS and quantile regression techniques controlling with a non-parametric sample selection. Our results indicate the different patterns that are attributable to the two sources of innovation as we move up from lower to higher conditional quantiles. First, the marginal effect of internal R&D on productivity decreased as we moved up to higher productivity levels. Second, the marginal effect of external R&D acquisition increased as we moved up to higher productivity levels. Finally, empirical results show significant complementarities between internal and external R&D, which are higher for knowledge-intensive service sectors.     

Quantifying knowledge exchange in R&D networks: a data-driven model

We propose a model that reflects two important processes in R&D activities of firms, the formation of R&D alliances and the exchange of knowledge as a result of these collaborations. In a data-driven approach, we analyze two large-scale data sets, extracting unique information about 7500 R&D alliances and 5200 patent portfolios of firms. These data are used to calibrate the model parameters for network formation and knowledge exchange. We obtain probabilities for incumbent and newcomer firms to link to other incumbents or newcomers able to reproduce the topology of the empirical R&D network. The position of firms in a knowledge space is obtained from their patents using two different classification schemes, IPC in eight dimensions and ISI-OST-INPI in 35 dimensions. Our dynamics of knowledge exchange assumes that collaborating firms approach each other in knowledge space at a rate μ for an alliance duration τ. Both parameters are obtained in two different ways, by comparing knowledge distances from simulations and empirics and by analyzing the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). This is a new measure that takes in account the effort of firms to maintain concurrent alliances, and is evaluated via extensive computer simulations. We find that R&D alliances have a duration of around two years and that the subsequent knowledge exchange occurs at a very low rate. Hence, a firm’s position in the knowledge space is rather a determinant than a consequence of its R&D alliances. From our data-driven approach we also find model configurations that can be both realistic and optimized with respect to the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). Effective policies, as suggested by our model, would incentivize shorter R&D alliances and higher knowledge exchange rates.     

Rank based cointegration testing for dynamic panels with fixed <Emphasis Type="Italic">T</Emphasis>

In this paper, we show that the cointegration testing procedure of Binder et al. (Econom Theory 21:795–837, 2005) for Panel Vector Autoregressive model of order 1, PVAR(1) is not valid due to the singularity of the hessian matrix. As an alternative we propose a method of moments based procedure using the rank test of Kleibergen and Paap (J Econom 133:97–126, 2006) for a fixed number of time series observations. The test is shown to be applicable in situations with time-series heteroscedasticity and unbalanced data. The novelty of our approach is that in the construction of the test we exploit the “weakness” of the Anderson and Hsiao (J Econom 18:47–82, 1982) moment conditions. The finite-sample performance of the proposed test statistic is investigated using simulated data. The results indicate that for most scenarios the method has good statistical properties. The proposed test provides little statistical evidence of cointegration in the employment data of Alonso-Borrego and Arellano (J Bus Econ Stat 17:36–49, 1999).     

The biological hypothesis in cliometrics of growth: a methodological critique of Fogel (post 1982) and Ashraf &amp; Galor (2013)

The resort to biological “analogies”, “metaphors” and “concepts” is an important aspect of the history of the relationships between economics and biology and has long been greatly controversial. This controversy continues today in the most recent work of three cliometricians, i.e. Fogel (post 1982) and Ashraf and Galor (2013). We focus on the theories of historical growth relying on biological explanations which have been formulated by these economists, from the specific angle of biological reductionism. We propose a methodological critique of their use of biological variables as determinants of the historical dynamics of economic growth. Based upon the transposition to the field of economics of Ernst Mayr’s distinction between functional and evolutionary biology and his definitions of reductionism, we argue that despite some similarities, the questions raised by Fogel’s and Ashraf & Galor’s theories are of distinct nature. Nonetheless, we stress the need for a careful examination of the biological mechanisms supporting these researches.     

Accounting Price of an Exhaustible Resource: Response and Extensions

Wei (Environ Resour Econ 60:579–581, 2015) presents a novel derivation of the accounting price for an exhaustible resource in a non-optimal economy subject to an allocation mechanism. We show that Wei (2015) and Hamilton and Ruta (Environ Resour Econ 42:53–64, 2009) are in fact employing different and mutually exclusive allocation mechanisms for the economy, and this explains the differences between the respective accounting prices. Because accounting prices must be defined subject to the allocation mechanism for the economy, the prices derived in the two papers are equally valid within their respective allocation domains. Further analysis shows that if there is declining marginal product of factors, a ‘Hartwick investment rule’ for the model economy (set investment just equal to depletion, valued at the accounting price) will lead to declining consumption for the Wei (2015) accounting price, and increasing consumption for the Hamilton and Ruta (2009) accounting price. This result is extended to consider the accounting standards recommended in the UN SEEA (System of environmental-economic accounting 2012: central framework. United Nations, European Commission, Food and Agriculture Organization of the United Nations, International Monetary Fund, Organisation for Economic Co-operation and Development, World Bank, 2012), as well as accounting for environmental externalities from resource use.     

R&D Efficiency Gains Due to Cooperation

A theoretical and widely-quoted finding is that levels of cooperative R&D exceed noncooperative R&D levels when technological spillovers are relatively large, while the opposite holds for relatively small technological spillovers. We qualify this result by showing that for relatively small technological spillovers the comparison is not driven by the extent of technological spillover, but by the increase in technological spillover due to cooperation in R&D. In particular, an agreement to cooperate in R&D always raises R&D efforts if the post-cooperative technological spillover rate is high enough.     

Does Innovation Matter for Chinese High-Tech Exports? A Firm-Level Analysis

This paper investigates the impact of innovation on export decisions of Chinese high-tech firms during the period of 2005–2007. Using a parametric, instrumental variable approach and a non-parametric matching method, we find that firm-level innovation efforts, measured by R&D spending and new product output, play only a minor role for domestic exporters. Foreign-invested firms dominate the high-tech exports but do not rely on indigenous innovation activities. These results demonstrate that the success of Chinese high-tech exports does not result from heavy R&D expenditure and technological progress. Moreover, different types of innovation measures show different impacts on the likelihood of exporting. The impacts of innovation on exporting vary widely across industries and Chinese regions.     

R&D subsidies in a model of growth with dynamic market structure

This paper presents the effects of an R&D subsidy in a Schumpeterian general equilibrium model with rich industry dynamics. R&D subsidies raise the long-run growth rate, but they also raise the level of industry concentration. In the model firms compete for market share through process R&D endogenously determining the market structure within and across industries. Endogeneity of the market structure allows for analysis of changes in the moments of the firm size distribution in response to policy. R&D subsidies primarily benefit large incumbent firms who increase their innovation rates creating a greater technological barrier to entry. Concentration increases with fewer firms and a higher variance in the market shares. In general equilibrium, the greater distortions in the product market cause the wage rate to fall which leads to increased turnover rates. In addition, the analysis demonstrates that the model captures a large number of empirical regularities described in the industrial organization literature, but absent from most endogenous growth models. These features, such as entering firms are small relative to incumbents, the hazard rate of exit is negatively related to firm size, and large firms spend more on R&D than small firms play important roles in understanding the impact of R&D subsidies on the economy.     

Persistency of Turkish export shocks: a quantile autoregression (QAR) approach

This study analyzes the persistency of total and disaggregated Turkish exports for different shock magnitudes using the quantile autoregression (QAR) method in line with Koenker and Xiao (J Am Stat Assoc 99:775–787, 2004). The results suggest that the persistence of shocks are not similar across different quantiles of Total Exports and disaggregated export sectors, indicating an asymmetry in the case of negative and positive shocks across different export sectors. The persistency behavior of Total Exports as well as Food and Beverages, Chemicals, Basic Metals, Raw Materials, Motor Vehicles and Radio & TV exports are asymmetric to negative versus positive shocks, which cannot be captured by traditional unit root tests. Thus, sound interpretation of QAR results is necessary for policy makers to identify shock characteristics and thereby pursue appropriate policies for overcoming adverse impacts on the economy.     

A Schumpeterian model of endogenous innovation and growth

A disequilibrium model of endogenous innovation and growth is presented. The behaviour of the agents is supposed to be governed by routines, not by maximization. The entrepreneurs are assumed to invest a fraction of their operating profits in real capital accumulation, and another fraction in R&D. The latter leads to an increase in labour productivity via a R&D production function. In this Schumpeterian model, not only the R&D processes of innovations are considered, but the diffusion processes as well. As in Schumpeter's theory of economic development the economic impact of technical change is considered a disequilibrium phenomenon. Thus, in a capitalist economy characterized by ongoing diffusion processes of innovations, time averages are more important than steady state values even in a long run perspective.     

Explanatory factors for participation in formal standardisation processes: Empirical evidence at firm level

In contrast to the long tradition of empirical research into the innovation activities and R&D collaboration of companies, the issue of standardisation has been analysed mostly in theoretical approaches. This paper presents an empirical analysis of the participation of German companies in formal standards development organisations. It becomes clear that company size has a significant positive effect on the probability of a participation in standardisation. We focus further on two aspects, on R&D as input and export intensity as performance indicator, in order to explain the likelihood to join formal standardisation processes. Both the R&D intensity and the export activities exhibit an inverse U relationship. Obviously, even participating in standardisation processes requires a certain absorptive capacity, but R&D and export intensive companies expect more disadvantages, like unintended knowledge spill-overs, from joining formal standardisation processes and, therefore, stay away. In addition, export activities increase the likelihood to join formal standardisation processes up to a certain level, although companies with very high export shares expect less benefit from joining formal standardisation processes. Finally, some policy conclusions are derived.     

The role of the German Historical School in the development of Mises’s thought

Hülsmann (2007) and Hayek ([1922] 1981) have argued that Mises’s first book The Development of the Relationship between Lords of Manor and Peasants in Galicia, 1772–1848 (1902) is written in the tradition of the German Historical School. Historicist contemporaries of Mises also considered his first academic work a continuation of the Knapp-Grünberg tradition (Kaser Jahrbuch für Gesetzgebung, Verwaltung und Volkswirtschaft im Deutschen Reich, 28(1), 374–79, 1904; Wimbersky, 1906). We argue that von Mises (1902) does not represent the younger German Historical School. First, Mises provides a rationalization of the history rather than ethical and cultural explanation of historical events. Second, he does not support the Knapp-Grünberg argument about the historical development of serfdom under a Slavic rule. Finally, von Mises (1902) does not adhere to the ideology of the Historical School regarding the virtues of the Prussian bureaucracy.