Knowledge spillovers,absorptive capacity and total factor productivity in China’s manufacturing firms

Applying the stochastic frontier framework, this study explores the diffusion and absorption of technological knowledge in China’s manufacturing firms, based on a panel of more than 10,000 local and foreign-invested firms over the period 1998–2001. Our empirical approach allows us to distinguish between technological progress (TP) and technical efficiency (TE) in analysing whether R&D, exports and the presence of foreign direct investment simultaneously enhance TP through knowledge spillovers in a single framework and whether different types of domestic absorptive capacity moderate external knowledge spillovers in relation to TE. The results show that there are positive inter-industry productivity spillovers from R&D and foreign presence, whereas evidence of intra-industry productivity spillovers from FDI to Chinese firms is less robust. We find evidence that absorptive capacity is one of the key determinants to quantitatively explain intra-industry differences in productivity of local Chinese firms. The findings have important policy implications.     

R&D and foreign direct investment with asymmetric spillovers

This paper analyzes how firms’ R&D investment decisions are affected by asymmetries in knowledge transmission, considering different sources of asymmetry such as unequal know-how management capabilities and spillovers localization within an international oligopoly. We show that a better ability to manage knowledge flows incentivizes the firm to invest more in R&D. By introducing geographically bounded spillovers, we also find that one-way foreign direct investment (FDI) stimulates the multinational enterprise to raise its own R&D and that an FDI equilibrium is more likely to occur. Finally, spillovers localization leading to two-way FDI is welfare improving when compared with non-localized spillovers.     

Firms’ productivity growth and R&D spillovers: An analysis of alternative technological proximity measures

This paper aim at assessing the impact of R&D spillovers on firms’ economic performance as measured by productivity growth. The construction of R&D spillovers is based on Jaffe's methodology (1988, 1996) which associates econometrics and data analysis. The main objective of the paper is to extend Jaffe's methodology by examining alternative methods for measuring R&D spillovers and to test their impacts in terms of the robustness of results. In particular, the method used to classify firms into technological clusters as well as the metrics implemented to appreciate firms’ technological proximities which enter the construction of spillovers are further investigated. In addition to R&D spillovers, firms’ own R&D capital, labour and physical capital are estimated by means of a Cobb–Douglas production function. The data set consists of a representative sample of 625 worldwide R&D intensive firms over the period 1987–1994.     

Interdependence and spillovers: is firm performance affected by others’ innovation activities?

The creation of new knowledge is a case in which agents' behaviour can affect the performance of other actors positively, given that new knowledge creates positive externalities in the market. In this context, we investigate the existence of performance spillovers associated with innovation activities by quantifying the innovation produced in surrounding firms and controlling for the fact that a firm is itself an innovation producer. We use data from the Third Community Innovation Survey (CIS III) that measures innovation in a broad way, not reducing it to R&D and patents, which departs from previous literature on spillovers. Furthermore, to tackle the endogeneity of the innovation variables on the firm production decision, we resort to the firm intellectual property protection methods as an instrument. We found a positive spillover of innovation on firm value added. The results also show that process innovation spillovers are more prevalent than product innovation spillovers.     

Research Joint Ventures with Asymmetric Spillovers and Symmetric Contributions

The paper proposes a new type of R&D cooperation between firms endowed with asymmetric spillovers, which we call symmetric Research Joint Venture (RJV) cartelization, based on reciprocity in information exchange. In this setting, firms coordinate their R&D expenditures and also share information, but such that the asymmetric spillover rates are increased through cooperation by equal amounts. It is found that this type of cooperation reduces R&D investment by the low spillover firm when its spillover is sufficiently low and the spillover of its competitor is sufficiently high. But it always increases the R&D of the high spillover firm, as well as total R&D (and hence effective cost reduction and welfare). A firm prefers no cooperation to symmetric RJV cartelization if its spillover rate is very high and the spillover rate of its competitor is intermediate. The profitability of symmetric RJV cartelization relative to other modes of cooperation is analyzed. It is found that symmetric RJV cartelization constitutes an equilibrium for a very wide range of spillovers, namely, when asymmetries between spillovers are not too large. As these asymmetries increase, the equilibrium goes from symmetric RJV cartelization, to RJV cartelization, to R&D competition, to R&D cartelization.     

R&;D spillovers and firms’ performance in Italy

Using a translog production function we estimate the impact of R&D spillovers on the output performance of Italian manufacturing firms over the period 1998-2003. Technological flows are measured through an asymmetric similarity index that takes also into account the geographical proximity of firms. Results show that R&D spillovers positively affect firms production and that geography matters in determining the role of the external technology. Moreover, we find that the effect of R&D spillovers is high in the Centre-South of Italy and that the stock of R&D spillovers is Morishima complement to the stock of R&D own-capital. The authors thank Giovanni Anania, Olof Ejermo, Vincenzo Scoppa, Alessandro Sterlacchini and Marco Vivarelli for useful comments on an earlier draft. We are also grateful to the participants at the Workshop on “Spatial Econometrics and Statistics” in Rome (University “Guido Carli, May 2006) and at the 2006 ADRES Conference, “Networks of Innovation and Spatial Analysis of Knowledge Diffusion” in St Etienne for helpful discussion and to an anonymous referee for many detailed and constructive comments on an earlier version. All remaining errors and omissions are our own. Financial support received by MIUR is gratefully acknowledged.     

Product innovation: testing the relative influence of industry,institutional context and firm factors

This article analyses the influence of industry characteristics (concentration and technological opportunity), the institutional framework (social capital and spillovers from the public sector) and some firm factors (external and internal R&D) on product innovation in a unique integrated framework. Based on a sample of Spanish industrial firms, these variables were found to be positively related to firms’ product innovation. Also, results show that in institutional environments with significant levels of social capital and spillovers, firms change their innovation strategy focusing on external R&D.     

The effects of foreign direct investment on domestic firms

This paper uses firm‐level panel data to investigate empirically the effects of foreign direct investment on the productivity performance of domestic firms in three emerging economies of Central and Eastern Europe: Bulgaria, Romania and Poland. To this end, a unique firm‐level panel dataset is used with detailed information on foreign ownership at the firm level. Two main questions are addressed in the present paper: (1) do foreign firms perform better than their domestic counterparts? (2) do foreign firms generate spillovers to domestic firms? The estimation technique in this paper takes potential endogeneity of ownership, spillovers and other factors into account by estimating a fixed effects model using instrumental variables in the general methods of moment technique for panel data. Only in Poland, do foreign firms perform better than firms without foreign participation. Moreover, for all three countries studied here, I find no evidence of positive spillovers to domestic firms, on average. In contrast, on average, there are negative spillovers to domestic firms in Bulgaria and Romania, while there are no spillovers to domestic firms in Poland. This suggests a negative competition effect that dominates a positive technology effect. JEL classification: D24, F14, O52, P31.     

Foreign direct investment in R&D and domestic entrepreneurship in China’s manufacturing industries

This paper argues that internationalization of innovation and the related spillovers can also affect the likelihood of firm entry and exit into an industry. By making use of firm-level panel data from China over the period 2005 to 2007, this paper examines the impact of foreign direct investment (FDI) in research and development (R&D) and the related linkages on entry and exit likelihoods of domestic firms in (i) transport equipment and (ii) electrical machinery and equipment manufacturing industries. In order to evaluate the region-of-origin effect, this paper also separately examines the impact of FDI in R&D originating from (i) all countries except Hong Kong, Macau and Taiwan and (ii) Hong Kong, Macau and Taiwan. Furthermore, the impact of FDI in R&D on entry and exit of Chinese firms in the two industries is examined by splitting the data into large and small firms within the two industries. The results of the pooled probit regression reveal that FDI in R&D and the related spillovers can have a significant impact on the likelihood of entry and exit of domestic firms in transport equipment and electric machinery and equipment industries. The empirical analysis also suggests that the impact of changes in FDI in R&D and the related spillovers varies across firm size.     

R&D spillovers and productivity: Evidence from U.S. manufacturing microdata

This paper deals with the estimation of the impact of technology spillovers on productivity at the firm level. Panel data for American manufacturing firms on sales, physical capital inputs, employment and R&D investments are linked to R&D data by industry. The latter data are used to construct four different sets of `indirect' R&D stocks, representing technology obtained through spillovers. The differences between two distinct kinds of spillovers are stressed. Cointegration analysis is introduced into production function estimation. Spillovers are found to have significant positive effects on productivity, although their magnitudes differ between high-tech, medium-tech and low-tech firms. First version received: April 1997/final version received: April 1999     

Trade-related R&D Spillovers in Vietnamese Manufacturing

ABSTRACT

This study aims to examine how Vietnamese manufacturing could benefit from R&D investment locally and from OECD countries through trade during a period marked with major trade liberalisations. Using the industry-level data during 2000–2009, it finds that the foreign R&D has accounted for the most part of the R&D spillovers in the sector, with a larger proportion earning from the other foreign industries’ R&D. The domestic industries’ own R&D has improved the sector’s total factor productivity, but in a relatively smaller magnitude compared to the foreign sources. In examining the localised effects of R&D spillovers in Vietnamese manufacturing, the results reiterate the important roles of trade-embedded foreign R&D spillovers from Japan, the US, South Korea, and Germany in the sector’s total factor productivity growth. These findings altogether give support to foreign technology diffusion as a major conduit for growth prospects in Vietnamese manufactures.     

Revisiting measure of R&D spillovers: empirical evidence on OECD countries and industries

Using data for 17 Organisation for Economic Co-operation and Development (OECD) countries over 29 years for 28 industries, this paper estimates industry-wise research and development (R&D) spillovers from the largest R&D investors and the most R&D-intensive industries that contribute 80% of global R&D. In doing so, it tests several assumptions made in the literature, and data rejecting them, proposes a methodology on R&D return estimation devoid of these assumptions. Results show that R&D has substantial spillovers, justifying R&D support policy. Each dollar of R&D generates about 29 cents in spillovers domestically and 4 cents in foreign countries. However, both intra- and inter-industry spillovers vary by industries, implying that the policy of supporting each R&D dollar uniformly across industries is suboptimal. Contrary to industry heterogeneity, the R&D spillovers from an industry do not vary substantially across countries, suggesting that optimal R&D policy across OECD countries might be uniform. An industry-by-industry technology matrix shows that sometimes an idea generates a greater impact on other industries than where it is generated.     

Intra‐industry Knowledge Spillovers from Foreign Direct Investment in Research and Development: Evidence from China's “Silicon Valley”

This study examines a specific channel of technology diffusion from multinational enterprises to domestic firms in less developed regions: research and development (R&D) activities of multinational enterprises in the host country. Using firm‐level panel data from a Chinese science park, known as China's “Silicon Valley,” we find that the R&D stock of foreign‐owned firms has a positive effect on the productivity of domestic firms in the same industry, while the capital stock of foreign firms has no such effect. These results suggest that foreign firms' knowledge spills over within industries through their R&D activities, but not through their production activities. In addition, we find no evidence of spillovers from domestic firms or firms from Hong Kong, Macao, or Taiwan, suggesting that the size of knowledge spillovers is larger when the technology gap between source and recipient firms is larger.     

R&D spillover effects on firms’ export behavior: evidence from South Korea

This paper investigates the spillover effects of R&D investments made by foreign multinational enterprises (MNEs) and domestic firms on their export activities, using a manufacturing firm-level panel dataset from South Korea. The theoretical framework predicts two conflicting spillover effects: positive technology spillovers and negative market rivalry spillovers. Thus, the net spillover effect is determined by the relative degree of the two conflicting spillovers. The empirical results show that negative intra-industry spillovers exist from the R&D of foreign MNEs on the export performance of firms, which implies that, in general, negative market rivalry spillovers dominate positive technology spillovers. However, notably, in the case of firms equipped with absorptive capacity, the negative spillovers can be alleviated; firms can gain positive spillovers by muting negative ones. Firms without absorptive capacity cannot avoid such negative effects. This paper shows that absorptive capacity is vital in capturing positive spillovers as firms build competency by accumulating their own know-how and improving their ability to capture better external technologies.     

Productivity spillovers through backward linkages: The role of the origin of investors and absorptive capacity of domestic firms

We argue that multinationals from different home countries have different technologies and input sourcing behavior. These differences impinge on potential productivity spillovers through backward linkages of multinationals and such effects also differ across host local firms depending on their absorptive capacity. Using a panel of Cameroonian manufacturing firms over the period 1993 to 2005, we find supportive evidence of these arguments. There is a negative relationship between the presence of American and European affiliates in downstream sectors and the productivity of Cameroonian firms in the supplying industries and a positive correlation in the case of Asian affiliates. The absorptive capacity of Cameroonian firms mainly explains these divergent results.     

Estimation of foreign MNEs spillovers in Spain

Using Spanish firm-level data, we estimate productivity effects of spillovers from foreign multinationals to domestic firms in both manufacturing and service sectors. We find evidence of a positive productivity effect from multinationals on domestic firms operating in the same industry. Analyzing inter-industry linkages, we find evidence consistent with positive productivity spillovers from forward linkages (i.e. from suppliers to buyers) and negative productivity spillovers from backward linkages (i.e. from buyers to suppliers). Our main results hold when analyzing differences between multinational and domestic firms, and for periods of economic growth and recession, although some differences arise. Interestingly, we find evidence supporting a positive role of spillovers during the last recession period.     

Strategic timing in R&D agreements

We study the endogenous formation of R&D agreements in a R&D/Cournot duopoly model with spillovers where also the timing of R&D investments is endogenous. This allows us to consider the incentives for firms to sign R&D agreements over time. It is shown that, when both R&D spillovers and investment costs are sufficiently low, firms may find difficult to maintain a stable agreement due to the strong incentive to invest noncooperatively as leaders. In this case, the stability of an agreement requires that the joint investment occurs at the initial stage, thus avoiding any delay. When spillovers are sufficiently high, the coordination of R&D efforts becomes a profitable option, although firms may also have an incentive to sequence noncooperatively their investment over time. Finally, when spillovers are asymmetric and knowledge mainly leaks from the leader to the follower, investing as follower may become extremely profitable, making R&D agreements hard to sustain unless firms strategically delay their joint investment in R&D.     

Strategic Rivalry With Spillovers Within Segmented Versus Integrated Markets

We consider a two-stage game with firms investing in R&D in the first stage while competing [a] la Cournot in the second stage. The firms are located in two countries, which are either segmented or integrated. R&D spillovers occur between firms located in the same country as well as between firms located in different countries.

We first examine the consequences of market integration on the impact of national and international R&D spillovers on innovative efforts, effective R&D, profits and total welfare. Comparing the resulting equilibrium levels, we subsequently conclude that market integration always leads to higher R&D investments and output if international R&D spillovers are limited, while the welfare consequences are ambiguous. Finally, we also analyze the welfare maximization problem of a ‘constrained social planner who can only decide on the level of R&D spillovers.     

外商直接投资行业间技水溢出效应实证分析

文章选取1999~2003年的行业层面板数据，考察了FDI对中国工业部门内资企业生产率的影响。在考虑了多重共线性问题并控制住不可观测的时间效应和行业效应之后，研究结果显示，FDI产生了显著的行业内溢出和前向联系溢出，但后向联系溢出为负。此外，对技术差距最优区间的分析表明，当内资企业生产率为相应外资企业生产率的30％～70％时，前向联系溢出能实现最大化。     

Should countries block foreign takeovers of R&D champions and promote greenfield entry?

Abstract In R&D intensive industries, governments promote greenfield foreign investments, while being sceptical towards foreign acquisitions of domestic high‐quality firms. We develop a theoretical model that shows that foreign acquisitions are conducive to high‐quality targets because of strategic effects on the sales price. However, foreign firms ‘cherry pick’ high‐quality targets to expand R&D rather than to downsize. Otherwise, rivals expand R&D, making the acquisition unprofitable. Thus, our model predicts that acquired affiliates invest more in R&D than greenfield affiliates. Using affiliate data, we find evidence that acquired affiliates have a higher level of sequential R&D intensity than greenfield affiliates.