6 april 2017
play

6 April 2017 Social science that makes a difference Layout - PowerPoint PPT Presentation

Do high-tech multinational corporations with local subsidiary companies generate innovations in South Africa? A critical analysis of evidence from the Business Innovation Survey (2005-2007) Centre for Science technology and Innovation


  1. Do high-tech multinational corporations with local subsidiary companies generate innovations in South Africa? A critical analysis of evidence from the Business Innovation Survey (2005-2007) Centre for Science technology and Innovation Indicators 6 April 2017 Social science that makes a difference

  2. Layout • Background: Technological diffusion by MNCs • Testing the Theory • Data: SA Business Innovation Survey • Methodology: Probit analysis • Results • Conclusion: Discussion and Recommendations • References

  3. Background • There is consensus among economists that diffusion has the potential to generate economic growth • New products bring about increases in consumer surplus through greater product variety, as argued theoretically in Dixit and Stiglitz (1977). • New processes imply access to superior technology, which is an engine for productivity growth. • Coe and Helpman (1995) link the international diffusion of technology with international trade; Mendi (2007) finds evidence of trade in disembodied (“costless”) technology [e.g. ideas, Kanban, six sigma, know-how, network growth] positively affecting the importing country’s total factor productivity • Thus, technological diffusion has very relevant consequences for economic growth. In the case of less developed countries (LDCs), the effect may be one of escape from underdevelopment and catching-up with more advanced economies

  4. Background • A question arises as to the channels and the nature by which international technology diffusion takes place  multinational corporations (MNCs) • Most trade in disembodied technology takes place within MNCs (see BEA (2013) for US data) • it is assumed that within a MNC the scope for opportunistic behaviour is smaller, especially when knowledge has an important tacit component (Arora, 1996). • This paper precisely takes this point and focuses on the role of multinationals in the process of international technology transfer

  5. Background • The “pipeline model” of international technology diffusion • innovation capital and assets are produced at the headquarters of technologically advanced MNCs • foreign subsidiaries of such MNCs take the knowledge capital and assets in a relatively unchanged form into the foreign environment • local firms would seek to draw value from interactions with the subsidiary • This generates enhanced economic growth provided the local firms are able to incorporate the enhanced capabilities • The foreign subsidiary is seen as a conduit for the transference of innovative capability produced by the head of the MNC.

  6. Background • The search for evidence of this claim • Mansfield and Romeo (1980) analyse the transfer of technology from US-based MNCs to their overseas subsidiaries, • focusing on the nature of the technology being transferred and benefits to the host country • Veugelers and Cassiman (2004) analyse the role of subsidiaries of foreign MNCs as effective channels for the acquisition of foreign technology. • find that subsidiaries of foreign MNCs have easier access to foreign technology but, controlling for access to foreign technology, they are less likely to transfer it locally • Oerlemans and Pretorius (2006) analysed 2001 SA data • evidence of foreign-owned firms generating better innovation outcomes

  7. Background • Marin and Bell (2006): evidence for positive effects on the local economy by foreign subsidiaries of MNCs is inconclusive • LDCs • No evidence for this in LDCs • absorptive capabilities of local firms are not an important constraint on the extent of spillovers • Marin and Sasidharan (2010): need to distinguish subsidiaries according to whether they carry out creative versus exploitation activities. Those with an exploitative orientation may have a negative effect on transfer • If we are to choose FDI that promotes trade in disembodied technology, we need to be choosy

  8. Testing the Theory • If MNCs are more efficient in the internal transmission of knowledge, and have access to a wider pool of knowledge, then • H1A: SA subsidiaries of foreign MNCs are more likely to innovate than domestic firms • H1B: SA subsidiaries of foreign MNCs are more likely to contribute to novel innovations than domestic firms • If MNCs have better communication channels across foreign subsidiaries in different countries, then • H2A: SA subsidiaries of foreign MNCs are more likely to introduce innovations developed outside South Africa than domestic firms • H2B: SA subsidiaries of foreign MNCs are more likely to introduce innovations developed by third parties outside SA

  9. Testing the Theory • Local R&D is important to absorb foreign technology and to adapt existing products and/or processes to the domestic environment • It is likely that R&D performed by local subsidiaries complements tacit and codified knowledge developed elsewhere within the MNC • H3A: The impact of internal R&D expenditures on the likelihood of introducing innovations new to the South African market is higher for SA subsidiaries of foreign MNCs • H3B: The impact of internal R&D expenditures on the likelihood of introducing innovations developed outside South Africa and by third parties outside South Africa is higher for SA subsidiaries of foreign MNCs

  10. Data : The SA Innovation Survey • 757 observations • 454 (60%) firms introduced at least one product and/or process innovation, or had some on-going innovation activities (INNOVATIVE=1) • 151 (20%) of these introduced either a product or a process innovation that was originated abroad (FORINN=1) • 115 (15%) are subsidiaries of foreign MNCs (FORSUB=1) • Most firms in manufacturing (40%), and wholesale and retail trade (34%) • Expenditures on R&D per employee in 2007 (RDINTENSITY=1) • Internal R&D capabilities of foreign subsidiaries: FORSUB*RDINTENSITY = 1

  11. Data : The SA Innovation Survey • Table 1: Control variables Industry dummies SIC=2,3,4,6,7,8 Log(EMPLOYEES) Logarithm of the number of employees in 2005 COSTFACTOR A measure of the extent of how cost factors inhibit innovation that ranges from 0 to 1 KNOWLEDGEFACTOR A measure of the extent of how knowledge factors inhibit innovation that ranges from 0 to 1 MARKETFACTOR A measure of the extent of how market factors inhibit innovation that ranges from 0 to 1 REASONSFACTOR A measure of the extent of how reasons not to innovate inhibit innovation that ranges from 0 to 1 Percentage of the firm’s employees with higher education KNOWLEDGE

  12. Methodology • Probit regression results • all industries • also conditional on • non-services (mining and quarrying; manufacturing; electricity, gas and water supply) • services (wholesale and retail trade; transport, storage and communication; financial intermediation, computer and related activities, research and development, architectural, engineering and other technical activities) • In some specifications, correction for sample selection when the dependent variable was conditional to the firm being innovative.

  13. Results: Determinants of Innovation • Table 2: Multinational corporations and innovativeness regression results for all industries, and subset by non-services industries and services industries Dependent variable: INNOVATIVE (i) All industries (ii) SIC={2,3,4} (iii) SIC={6,7,8} FORSUB 0.137** 0.048 0.216*** -0.049 -0.067 -0.07 KNOWLEDGE 0.003** 0.001 0.003** -0.001 -0.002 -0.001 Log(EMPLOYEES) 0.073*** 0.078*** 0.068*** -0.014 -0.018 -0.02 COSTFACTOR 0.051 0.026 0.102 -0.089 -0.11 -0.136 KNOWLEDGEFACTOR 0.542*** 0.436*** 0.608*** -0.122 -0.152 -0.185 MARKETFACTOR -0.053 0.002 -0.098 -0.085 -0.108 -0.127 REASONSFACTOR -0.379*** -0.476*** -0.291** -0.082 -0.116 -0.115 Industry dummies Yes Yes Yes Observations 520 242 278 Log likelihood -264.63 -107.06 -153.6 Standard errors in brackets and significance level ( ∗∗∗ significant at 1%, ∗∗ significant at 5%, and ∗ significant at 10%)

  14. Results • Consistent with Hypothesis 1A, the effect of FORSUB, is positive and significant  a higher propensity to innovate by subsidiaries of foreign MNCs • The probability of a firm being innovative is strongly and positively associated with firm size, consistent with the statistically significant coefficient of Log(EMPLOYEES) • A large number of employees with a high level of education, is positively associated with innovative firms • Factors hampering innovation recorded in the survey were cost-, knowledge- , and market factors as well as other reasons

Recommend


More recommend