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arxiv: 2605.17896 · v1 · pith:7FZGJAYSnew · submitted 2026-05-18 · 💰 econ.GN · q-fin.EC

The Effects of Innovation on Foreign Portfolio Investment: The Role of Institutions and Risk-Taking

Yimin Wu , Tomoo Kikuchi This is my paper

Pith reviewed 2026-05-20 00:36 UTC · model grok-4.3

classification 💰 econ.GN q-fin.EC
keywords innovationforeign portfolio investmentequitydebtinstitutionsrisk-takinginstrumental variablestechnological development
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The pith

Innovation in a host country causes higher foreign portfolio investment inflows, with larger effects for equity than debt.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper aims to establish that innovation intensity attracts foreign portfolio investment inflows in a causal sense. This would matter if true because it identifies a pathway for countries to secure external capital by fostering innovation rather than solely through other economic factors. The causal estimates show stronger responses for equity inflows than debt, and these equity effects are amplified by higher technological development and institutional quality. Debt inflows respond only under high levels of those conditions, while a risk-taking environment boosts overall inflows, with equity effects being immediate and lasting.

Core claim

Using an instrumental variable strategy based on regional shift-share and global push instruments, the authors estimate the causal response of debt and equity inflows to innovation intensity in the host country. They find that innovation increases foreign portfolio investment, with larger effects for equity than debt inflow. The effect of innovation on equity inflow increases with technological development and institutional quality, whereas the effect on debt inflow is positive and significant only at high levels of these factors. Countries with a higher risk-taking environment attract more foreign portfolio investment, and equity inflow responses are immediate and persistent while debt流入响应是

What carries the argument

The instrumental variable strategy with regional shift-share and global push instruments that isolates the causal impact of host country innovation intensity on foreign portfolio debt and equity inflows, conditional on institutional and technological factors.

If this is right

  • If innovation intensity increases, foreign equity inflows rise more than debt inflows.
  • The positive effect on equity inflows strengthens as technological development and institutional quality improve.
  • Debt inflows increase with innovation only when technological development and institutional quality are high.
  • A higher risk-taking environment in the host country leads to greater foreign portfolio investment.
  • Equity inflow responses to innovation are immediate and persist over time, unlike the more modest and dampening debt responses.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Policymakers interested in attracting foreign capital might focus on innovation policies as a complement to institutional improvements.
  • The differing time profiles of equity and debt responses imply distinct roles in financing long-term versus short-term needs.
  • The patterns could be investigated for foreign direct investment to see if innovation plays a similar role.
  • Subnational data might be used to test whether the effects vary across regions within a country.

Load-bearing premise

The regional shift-share and global push instruments are valid for causal identification, satisfying relevance and the exclusion restriction so that they affect foreign portfolio inflows only through their impact on innovation intensity after controlling for other variables.

What would settle it

A natural experiment or alternative instrument, such as a sudden policy-driven increase in R&D that is independent of capital market conditions, showing no subsequent rise in foreign portfolio inflows would challenge the finding.

Figures

Figures reproduced from arXiv: 2605.17896 by Tomoo Kikuchi, Yimin Wu.

Figure 1
Figure 1. Figure 1: The Number of Patent Applications (Per Million People) vs Portfolio Inflows [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Interaction of Innovation with Three PTF Groups [PITH_FULL_IMAGE:figures/full_fig_p022_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Interaction of Innovation with Three Institutional Quality Groups for Equity Inflow [PITH_FULL_IMAGE:figures/full_fig_p023_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Interaction of Innovation with Three Institutional Quality Groups for Debt Inflow [PITH_FULL_IMAGE:figures/full_fig_p024_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Impulse Response to Innovation Note: Impulse-response functions (IRF) showing the response of debt inflow (right-top), equity inflow (left￾top), E/D inflow ratio (left-bottom), and total FPI (right-bottom). The blue solid line represents the response of the dependent variable to an increase in patents for the forecast horizon h = 0, 1, 2, 3, 4, ..., 5. Blue shadow band represents the 95% confidence interva… view at source ↗
read the original abstract

We study whether and how innovation intensity attracts foreign portfolio investment (FPI) using a panel of 60 countries from 1996 to 2021. Using an instrumental variable strategy based on regional shift-share and global push instruments, we estimate the causal response of debt and equity inflows to innovation intensity in the host country. We find that innovation increases FPI, with larger effects for equity than debt inflow. Moreover, the effect of innovation on equity inflow increases with technological development and institutional quality, whereas the effect on debt inflow is positive and significant only at high levels of these factors. We also find that countries with a higher risk-taking environment attract more FPI and that equity inflow responses are immediate and persistent, whereas debt inflow responses are modest and dampen over time.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 3 minor

Summary. The paper claims that innovation intensity in host countries causally increases foreign portfolio investment (FPI) inflows, with larger effects for equity than debt, using an IV strategy based on regional shift-share and global push instruments in a panel of 60 countries from 1996 to 2021. Heterogeneous effects indicate that the innovation-equity link strengthens with technological development and institutional quality, while the innovation-debt link is positive only at high levels of these factors. Countries with higher risk-taking environments attract more FPI overall, and dynamic responses show immediate/persistent equity effects versus modest/dampening debt effects.

Significance. If the IV identification is valid, the results would provide causal evidence linking host-country innovation to international portfolio flows and clarify the moderating roles of institutions, technological development, and risk-taking. This could inform policies promoting innovation to attract equity capital and contribute to the literature on capital-flow determinants by distinguishing debt versus equity responses and their persistence.

major comments (2)
  1. The global push instrument risks violating the exclusion restriction. Worldwide innovation or patenting trends may correlate with aggregate liquidity, risk-appetite, or trade shocks that move FPI directly, and the included controls may not fully absorb these common factors. The manuscript should report additional diagnostics, such as correlations between the instrument and global capital-flow or liquidity measures, or placebo tests in low-innovation subsamples.
  2. Heterogeneous effects for debt inflows (positive and significant only at high levels of technological development and institutional quality) are central to the claims but require clearer support. The relevant interaction or marginal-effects table/figure should report standard errors, confidence intervals, and tests of whether the effect is statistically distinguishable from zero at lower quantiles of the moderators.
minor comments (3)
  1. Provide first-stage F-statistics, Sanderson-Windmeijer statistics, and overidentification test results for the combined regional shift-share and global push instruments in all main specifications.
  2. Clarify the exact construction of the regional shift-share instrument, including the definition of regional shares, the source of the 'shift' component, and any adjustments for potential violations of the shift-share assumptions.
  3. Report the precise data sources and definitions for innovation intensity (e.g., patents per capita or R&D), FPI debt/equity inflows, institutional quality, and the risk-taking environment variable.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive and detailed comments, which have helped us strengthen the manuscript. We address each major comment below and indicate the revisions we will implement.

read point-by-point responses

  1. Referee: The global push instrument risks violating the exclusion restriction. Worldwide innovation or patenting trends may correlate with aggregate liquidity, risk-appetite, or trade shocks that move FPI directly, and the included controls may not fully absorb these common factors. The manuscript should report additional diagnostics, such as correlations between the instrument and global capital-flow or liquidity measures, or placebo tests in low-innovation subsamples.

    Authors: We acknowledge this valid concern about the exclusion restriction for the global push instrument. In the revised manuscript we will add the suggested diagnostics: correlations between the instrument and global liquidity/capital-flow measures, plus placebo tests in low-innovation subsamples. These checks will be reported in a new appendix table to further support identification. revision: yes

  2. Referee: Heterogeneous effects for debt inflows (positive and significant only at high levels of technological development and institutional quality) are central to the claims but require clearer support. The relevant interaction or marginal-effects table/figure should report standard errors, confidence intervals, and tests of whether the effect is statistically distinguishable from zero at lower quantiles of the moderators.

    Authors: We agree that clearer statistical support for the heterogeneous effects is needed. We will revise the relevant interaction tables and marginal-effects figures to include standard errors, confidence intervals, and explicit tests of whether the debt-inflow effects are statistically distinguishable from zero at lower quantiles of the moderators. revision: yes

Circularity Check

0 steps flagged

No circularity: standard empirical IV estimation with no self-referential reductions

full rationale

The paper conducts an empirical panel analysis of 60 countries (1996-2021) that estimates causal effects of innovation intensity on debt and equity FPI inflows via regional shift-share and global push instruments. The derivation chain consists of econometric identification, regression estimation, and heterogeneity analysis; none of the reported results or 'predictions' reduce by the paper's own equations to quantities defined in terms of fitted parameters, self-citations, or ansatzes. No self-definitional, fitted-input-called-prediction, or uniqueness-imported-from-authors patterns appear. The central claims remain statistical estimates whose validity rests on instrument assumptions rather than any internal definitional equivalence.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central claim rests on standard econometric assumptions required for instrumental variable identification in panel data; no new entities are introduced and no free parameters are explicitly fitted beyond the usual regression coefficients.

axioms (1)
  • domain assumption The regional shift-share and global push instruments satisfy the relevance condition and the exclusion restriction for identifying the causal effect of innovation on FPI.
    This is the core identifying assumption invoked by the IV strategy described in the abstract.

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Works this paper leans on

56 extracted references · 56 canonical work pages

  1. [1]

    Acemoglu, D., Aghion, P., and Zilibotti, F. (2006). Distance to frontier, selection, and economic growth. Journal of the European Economic Association , 4(1):37--74

    work page 2006

  2. [2]

    H., and Schneider, M

    Albuquerque, R., Bauer, G. H., and Schneider, M. (2007). International equity flows and returns: a quantitative equilibrium approach. The Review of Economic Studies , 74(1):1--30

    work page 2007

  3. [3]

    Alfaro, L., Kalemli-Ozcan, S., and Volosovych, V. (2008). Why doesn't capital flow from rich to poor countries? an empirical investigation. The Review of Economics and Statistics , 90(2):347--368

    work page 2008

  4. [4]

    and Gale, D

    Allen, F. and Gale, D. (1999). Diversity of opinion and financing of new technologies. Journal of Financial Intermediation , 8(1-2):68--89

    work page 1999

  5. [5]

    Andrade, S. C. and Chhaochharia, V. (2010). Information immobility and foreign portfolio investment. The Review of Financial Studies , 23(6):2429--2463

    work page 2010

  6. [6]

    Audretsch, D. B. and Feldman, M. P. (1996). R&d spillovers and the geography of innovation and production. The American Economic Review , 86(3):630--640

    work page 1996

  7. [7]

    and Harvey, C

    Bekaert, G. and Harvey, C. R. (2000). Foreign speculators and emerging equity markets. The Journal of Finance , 55(2):565--613

    work page 2000

  8. [8]

    R., and Lundblad, C

    Bekaert, G., Harvey, C. R., and Lundblad, C. (2005). Does financial liberalization spur growth? Journal of Financial Economics , 77(1):3--55

    work page 2005

  9. [9]

    R., and Lundblad, C

    Bekaert, G., Harvey, C. R., and Lundblad, C. (2011). Financial openness and productivity. World Development , 39(1):1--19

    work page 2011

  10. [10]

    A., Matos, P., and Pires, P

    Bena, J., Ferreira, M. A., Matos, P., and Pires, P. (2017). Are foreign investors locusts? the long-term effects of foreign institutional ownership. Journal of Financial Economics , 126(1):122--146

    work page 2017

  11. [11]

    Bergant, K., Grigoli, F., Hansen, N.-J., and Sandri, D. (2024). Dampening global financial shocks: can macroprudential regulation help (more than capital controls)? Journal of Money, Credit and Banking , 56(6):1405--1438

    work page 2024

  12. [12]

    Bloom, N., Schankerman, M., and Van Reenen, J. (2013). Identifying technology spillovers and product market rivalry. Econometrica , 81(4):1347--1393

    work page 2013

  13. [13]

    Brennan, M. J. and Cao, H. H. (1997). International portfolio investment flows. The Journal of Finance , 52(5):1851--1880

    work page 1997

  14. [14]

    R., Martinsson, G., and Petersen, B

    Brown, J. R., Martinsson, G., and Petersen, B. C. (2013). Law, stock markets, and innovation. The Journal of Finance , 68(4):1517--1549

    work page 2013

  15. [15]

    and Shin, H

    Bruno, V. and Shin, H. S. (2015). Capital flows and the risk-taking channel of monetary policy. Journal of Monetary Economics , 71:119--132

    work page 2015

  16. [16]

    Burger, J. D. and Warnock, F. E. (2007). Foreign participation in local currency bond markets. Review of Financial Economics , 16(3):291--304

    work page 2007

  17. [17]

    Chinn, M. D. and Ito, H. (2008). A new measure of financial openness. Journal of Comparative Policy Analysis , 10(3):309--322

    work page 2008

  18. [18]

    Djankov, S., La Porta, R., Lopez-de Silanes, F., and Shleifer, A. (2008). The law and economics of self-dealing. Journal of Financial Economics , 88(3):430--465

    work page 2008

  19. [19]

    and Hausmann, R

    Eichengreen, B. and Hausmann, R. (1999). Exchange rates and financial fragility

    work page 1999

  20. [20]

    Finlay, K., Magnusson, L., and Schaffer, M. (2014). Weakiv10: Stata module to perform weak-instrument-robust tests and confidence intervals for instrumental-variable (iv) estimation of linear, probit and tobit models

    work page 2014

  21. [21]

    Forbes, K., Fratzscher, M., and Straub, R. (2015). Capital-flow management measures: What are they good for? Journal of International Economics , 96:S76--S97

    work page 2015

  22. [22]

    Forbes, K. J. and Warnock, F. E. (2012). Capital flow waves: Surges, stops, flight, and retrenchment. Journal of International Economics , 88(2):235--251

    work page 2012

  23. [23]

    A., O’connell, P

    Froot, K. A., O’connell, P. G., and Seasholes, M. S. (2001). The portfolio flows of international investors. Journal of Financial Economics , 59(2):151--193

    work page 2001

  24. [24]

    and Jeanne, O

    Gourinchas, P.-O. and Jeanne, O. (2013). Capital flows to developing countries: The allocation puzzle. Review of Economic Studies , 80(4):1484--1515

    work page 2013

  25. [25]

    M., Nardari, F., and Stulz, R

    Griffin, J. M., Nardari, F., and Stulz, R. M. (2004). Are daily cross-border equity flows pushed or pulled? Review of Economics and Statistics , 86(3):641--657

    work page 2004

  26. [26]

    Head, K., Mayer, T., et al. (2002). Illusory border effects: Distance mismeasurement inflates estimates of home bias in trade , volume 1. Citeseer

    work page 2002

  27. [27]

    Henry, P. B. (2000). Stock market liberalization, economic reform, and emerging market equity prices. The Journal of Finance , 55(2):529--564

    work page 2000

  28. [28]

    R., and Puy, D

    Igan, D., Lauwers, A. R., and Puy, D. (2022). Capital flows and institutions . Bank for International Settlements, Monetary and Economic Department Basel

    work page 2022

  29. [29]

    B., Trajtenberg, M., and Henderson, R

    Jaffe, A. B., Trajtenberg, M., and Henderson, R. (1993). Geographic localization of knowledge spillovers as evidenced by patent citations. the Quarterly Journal of Economics , 108(3):577--598

    work page 1993

  30. [30]

    Jord \`a , \`O . (2005). Estimation and inference of impulse responses by local projections. American Economic Review , 95(1):161--182

    work page 2005

  31. [31]

    and Kraay, A

    Kaufmann, D. and Kraay, A. (2024). The worldwide governance indicators

    work page 2024

  32. [32]

    Keller, W. (2002). Geographic localization of international technology diffusion. American Economic Review , 92(1):120--142

    work page 2002

  33. [33]

    Kikuchi, T., Stachurski, J., and Vachadze, G. (2018). Volatile capital flows and financial integration: The role of moral hazard. Journal of Economic Theory , 176:170--192

    work page 2018

  34. [34]

    La Porta, R., Lopez-de Silanes, F., Shleifer, A., and Vishny, R. (2017). Legal origins. The Long Economic and Political Shadow of History Volume I. A Global View , page 89

    work page 2017

  35. [35]

    La Porta, R., Lopez-de Silanes, F., Shleifer, A., and Vishny, R. W. (1997). Legal determinants of external finance. The Journal of Finance , 52(3):1131--1150

    work page 1997

  36. [36]

    La Porta, R., Lopez-de Silanes, F., Shleifer, A., and Vishny, R. W. (1998). Law and finance. Journal of Political Economy , 106(6):1113--1155

    work page 1998

  37. [37]

    Laeven, M. L. and Valencia, M. F. (2018). Systemic banking crises revisited . International Monetary Fund

    work page 2018

  38. [38]

    Lane, P. R. and Milesi-Ferretti, G. M. (2007). The external wealth of nations mark ii: Revised and extended estimates of foreign assets and liabilities, 1970--2004. Journal of International Economics , 73(2):223--250

    work page 2007

  39. [39]

    V., and Warnock, F

    Leuz, C., Lins, K. V., and Warnock, F. E. (2009). Do foreigners invest less in poorly governed firms? The Review of Financial Studies , 22(8):3245--3285

    work page 2009

  40. [40]

    Levine, R., Lin, C., Ma, C., and Xu, Y. (2023). The legal origins of financial development: Evidence from the shanghai concessions. The Journal of Finance , 78(6):3423--3464

    work page 2023

  41. [41]

    M., and Zhang, J

    Liu, Z., Spiegel, M. M., and Zhang, J. (2023). Capital flows and income inequality. Journal of International Economics , 144:103776

    work page 2023

  42. [42]

    Lucas, R. E. (1990). Why doesn't capital flow from rich to poor countries? The American Economic Review , 80(2):92--96

    work page 1990

  43. [43]

    Luong, H., Moshirian, F., Nguyen, L., Tian, X., and Zhang, B. (2017). How do foreign institutional investors enhance firm innovation? Journal of Financial and Quantitative Analysis , 52(4):1449--1490

    work page 2017

  44. [44]

    and Wei, S.-J

    Ma, C. and Wei, S.-J. (2020). International equity and debt flows: Composition, crisis, and controls. Technical report, National Bureau of Economic Research

    work page 2020

  45. [45]

    Moretti, E. (2004). Workers' education, spillovers, and productivity: evidence from plant-level production functions. American Economic Review , 94(3):656--690

    work page 2004

  46. [46]

    Moshirian, F., Tian, X., Zhang, B., and Zhang, W. (2021). Stock market liberalization and innovation. Journal of Financial Economics , 139(3):985--1014

    work page 2021

  47. [47]

    Olea, J. L. M. and Pflueger, C. (2013). A robust test for weak instruments. Journal of Business and Economic Statistics , 31(3):358--369

    work page 2013

  48. [48]

    Pflueger, C. E. and Wang, S. (2015). A robust test for weak instruments in stata. The Stata Journal , 15(1):216--225

    work page 2015

  49. [49]

    and Rey, H

    Portes, R. and Rey, H. (2005). The determinants of cross-border equity flows. Journal of International Economics , 65(2):269--296

    work page 2005

  50. [50]

    S., Rajan, R

    Prasad, E. S., Rajan, R. G., and Subramanian, A. (2007). Foreign capital and economic growth. Brookings Papers on Economic Activity , 2007(1):153--209

    work page 2007

  51. [51]

    Rajan, R. G. and Zingales, L. (1998). Financial dependence and growth. American Economic Review , 88(3):559--586

    work page 1998

  52. [52]

    Rey, H. (2015). Dilemma not trilemma: the global financial cycle and monetary policy independence. Technical report, National Bureau of Economic Research

    work page 2015

  53. [53]

    Sarno, L., Tsiakas, I., and Ulloa, B. (2016). What drives international portfolio flows? Journal of International Money and Finance , 60:53--72

    work page 2016

  54. [54]

    Wang, X. (2022). Capital account liberalization, financial dependence and technological innovation: Cross-country evidence. Journal of Banking & Finance , 145:106642

    work page 2022

  55. [55]

    White, H. (1980). A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica: Journal of The Econometric Society , pages 817--838

    work page 1980

  56. [56]

    Yi, Z., Xu, X., Wei, M., and Lin, B. (2023). Foreign institutional ownership externalities and supplier innovation. Journal of Corporate Finance , 80:102421

    work page 2023