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Embodied and Disembodied Spillovers from FDI: Sectoral Evidence from Ireland

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Abstract

Using a distinctive sectoral dataset from Ireland, among the most attractive destinations of Foreign Direct Investment (FDI), over the period 2000 and 2018, we evaluate the role of embodied and disembodied spillovers in labour productivity. The paper fills substantial gaps in the literature of FDI led productivity gains. First, we examine how (embodied) spillovers from different sourcing strategies of MNEs (material versus service linkages) affect the trajectory of sectoral productivity. Second, we evaluate the role of (disembodied) spillovers emerging from the intensity of foreign royalties and employee training. Third, we account in a relative manner for the absorptive capacity of domestic sectors, as a prerequisite for facilitating knowledge spillovers. Instead of purely measuring the level of human capital in the sector, we use the educational gap between domestic firms and Multi-national Enterprises (MNEs) in the same sector. After incorporating these new elements, the analysis shows that embodied spillovers through the material linkage are positively associated with domestic labour productivity (LP), nonetheless gains vary substantially across segments of the productivity distribution. The service linkage impacts negatively unless sectors get close to the educational frontier. Our results are robust for selectivity bias offering ample space for policy design and intervention.

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Data Availibility Statement

Data are available from the authors upon request.

Change history

  • 08 July 2023

    The original version of this paper was updated to correct the spelling of Université.

Notes

  1. Negative effects from backward spillovers are rather rare in the literature, see for example, Xu and Sheng (2012) for a study on Chinese manufacturing firms.

  2. See Hynes et al. (2020) for a recent study on the role of materials and services linkages in firm performance without identifying, though, where these inputs are purchased from (foreign or domestic firms).

  3. Services offshoring usually initializes structural changes within firms allowing to deploy more innovation and R &D oriented activities (Bournakis et al. 2018).

  4. Although there is no direct shared ownership (with domestic firms) upon these proprietary assets, unintended diffusion of knowledge from MNE subsidiaries always occurs due to the de-motivation of managers and their limited authority to decide on the use of income generated from these assets (Foss et al. 2012; Hart 2017). Decisions are taken by the MNEs’ headquarters, which points to a typical hazard problem between headquarters and the manager of the foreign affiliate, similar to the principal-agent challenge resulting in unintended technology diffusion to local firms (Grossman and Hart 1986).

  5. The staggered difference-in-differences approach treats supply of materials or services to MNEs (the event) in a dynamic setting allowing plotting graphs that show in an intuitive way the post-treatment effects Schmidheiny and Siegloch (2020); De Chaisemartin and d’Haultfoeuille (2020), and Freyaldenhoven et al. (2019).

  6. The drop in net FDI inflows in 2019 was due to the one-off transactions such as mergers and the shifting of assets around companies within multinational groups. Please See the Central Statistics Office International Accounts Q2 2019 report CSO.

  7. The population of the ABSEI survey also includes a small number of High-Potential Start-Up (HPSU) companies with the employment of less than 10 where there is an expectation that their employment will exceed 10 in the following survey.

  8. Also see Lane and Ruane (2006) and Görg et al. (2011).

  9. The labour cost is the average payroll cost (i.e. wage per employee) in Manufacturing and international traded services.

  10. Years of schooling are country-level data from Barro and Lee (2015).

  11. Appendix A, Fig. 6 shows the sample average of LP for the period under study.

  12. The National Programme launched initially in the 1980 s.

  13. Specific point estimates are not reported in the Table but they are available from the authors upon request.

  14. Non-linear efects are present with substantial heterogeneity in the FDI effects as firms move to different segments of the productivity distribution Girma and Görg (2005).

  15. We illustrate a plot of the Cumulative Distribution Function (CDF) of LP (in logs) in Appendix A, Fig. 5. The graph is reasonably symmetric with the 10th, 50th and 90th quantiles to be approximately 1.5, 1.75, and 2.0 on the log scale of LP.

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Appendices

Appendix A: Descriptive Evidence

Fig. 4
figure 4

Average labour productivity (in logs) of 26 Sectors, 2000-2018. See the text for further details. Source: Authors’ calculation

Fig. 5
figure 5

The CDF plot of log labour productivity. Notes: This graph plots the CDF of log labour productivity. Source: Authors’ calculation

Table 3 Average FDI Net Inflows, Stock of FDI, and FDI Net Inflows to GDP 2006-2017
Table 4 Foreign output, materials, and services source in Ireland
Fig. 6
figure 6

Costs on royalties, exports, payroll, and formal training 2000-2018. Notes: Gray bar chart for Irish domestic owned firms sectors. Source: Authors’ calculation

Appendix B: Definition of Variables

This section provides information about the additional variables used in Tables 1 and 2. The controls capture foreign competition from the agglomeration of economic activity within the same industry (\(Foreign_{jt}\)), export intensity of MNEs (\(Export_{jt}\)), and price–cost margins (\(PM_{jt}\)).

Foreign competition is defined as the share of total sales of MNEs over the total sales of all firms in the same sector, defined as:

$$\begin{aligned} Foreign_{jt} = FS_{jt}/TS_{jt} \end{aligned}$$
(B1)

where \(FS_{jt}\) represents the total sales of all MNEs in sector j at time t, and \(TS_{jt}\) represents the total sales of all firms in sector j. This measure represents the.

The second measure captures the spillover effect from MNEs export intensity. The export-orientation of MNEs induces learning effects that can potentially benefit productivity of domestic sectors. The variable is defined as:

$$\begin{aligned} Export_{jt} = FE_{jt}/TE_{jt} \end{aligned}$$
(B2)

where \(FE_{jt}\) is the total exports in manufacturing and international traded services of all foreign-owned firms in sector j at time t, hence \(Export_{jt}\) captures the foreign export intensity.

The third variable captures the relationship between sectoral productivity and market conduct. We need to isolate the competition effects from potential FDI spillovers. We construct a measure of price–cost margins, following Siotis (2003) and Sembenelli and Siotis (2008) as:

$$\begin{aligned} PM_{jt} = \frac{ValueAdded_{jt} - Payroll_{jt}}{Value\_added_{jt}+NetCostsMaterials_{jt}} \end{aligned}$$
(B3)

where \(ValueAdded_{jt}\) refers to the total value added of MNEs in sector j at time t, \(Payroll_{jt}\) represents the total payroll cost of MNEs in sector j at time t, \(NetCostsMaterials_{jt}\) refers to the total cost in materials of MNEs in sector j at time t.

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Bournakis, I., Mei, JC. Embodied and Disembodied Spillovers from FDI: Sectoral Evidence from Ireland. J Ind Compet Trade 23, 59–80 (2023). https://doi.org/10.1007/s10842-023-00397-z

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