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Chinese listed firms that adopt humanoid robotics are associated with markedly lower investment inefficiency, a benefit amplified in firms with stronger corporate governance; non-state enterprises with independent boards gain the most.

Humanoid Robotics Adoption and Corporate Investment Efficiency

Anqi Wang, Yanbo Wang, Xin Li, Nan Qin · August 31, 2026 · Journal of Global Information Management

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Firms that signal humanoid robotics adoption report lower investment inefficiency, and this association is stronger in firms with higher-quality corporate governance, especially non-state firms with independent boards.

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The humanoid robotics market is projected to grow from USD 2.1 billion (2023) to USD 38 billion (2035). Against this backdrop, whether robotics adoption translates into efficient corporate investment rather than wasted capital has become a pressing concern. Existing literature has not examined the moderating role of corporate governance in Chinese listed firms. Using a panel of 412 A-share firms (2015–2022), this study constructs a humanoid robotics adoption (HRA) measure and a composite corporate governance index (CGI). Employing two-way fixed effects models, the authors find that HRA is significantly negatively correlated with investment inefficiency (β = -0.312); CGI positively moderates this relationship (interaction β = -0.148). Subsample analysis shows that non-state-owned firms with board independence gain the most. The findings extend agency theory to intelligent manufacturing, provide a validated text-based adoption proxy, and offer direct policy implications for China's 15th Five-Year Plan.

Summary

Main Finding

Humanoid robotics adoption (HRA) is associated with lower corporate investment inefficiency in Chinese listed firms. The relationship is strengthened by higher-quality corporate governance: firms with better governance (as measured by a composite CGI) see a larger reduction in inefficiency from robotics adoption. Estimated effects: HRA → investment inefficiency β = -0.312; HRA × CGI interaction β = -0.148. Non-state-owned firms with independent boards exhibit the largest gains.

Key Points

Motivation: Rapid projected growth in humanoid robotics (USD 2.1B in 2023 → USD 38B by 2035) raises the question whether robotics adoption leads to productive capital allocation or wasted investment.
Gap: Prior literature has not examined how corporate governance moderates the investment effects of robotics adoption in Chinese listed firms.
Measurement innovation: The study builds a text-based HRA (humanoid robotics adoption) proxy and a composite corporate governance index (CGI).
Main empirical results (panel of 412 A-share firms, 2015–2022):
- HRA is significantly negatively correlated with investment inefficiency (β = -0.312), i.e., more adoption → less inefficient investment.
- High-quality governance amplifies this benefit (interaction β = -0.148), implying governance facilitates efficient use of robotics investments.
Heterogeneity: Effects are strongest in non-state-owned enterprises and firms with independent boards.
Theoretical contribution: Extends agency theory to the context of intelligent manufacturing and robotics adoption.

Data & Methods

Sample: Panel of 412 Chinese A-share firms, 2015–2022.
Key variables:
- HRA: text-based measure capturing firms’ humanoid robotics adoption/engagement.
- CGI: composite corporate governance index summarizing governance quality.
- Outcome: investment inefficiency (constructed per standard corporate finance practice).
Estimation: Two-way fixed effects regressions (firm and year fixed effects). Models include standard control variables (firm characteristics and likely other observables) to isolate the HRA–investment inefficiency relationship.
Identification/robustness: Main results reported with interaction terms to test moderation by CGI; subsample analyses by ownership and board structure highlight heterogeneity. (Study claims validation of the text-based adoption proxy.)

Implications for AI Economics

Policy and governance: Improving corporate governance can ensure robotics and intelligent-manufacturing investments translate into productive capital rather than misallocation—important for industrial policy (e.g., China's Five-Year Plan objectives).
Firm strategy: Non-state firms and firms with independent boards may capture larger efficiency gains from robotics; targeted governance reforms (e.g., enhancing board independence) can amplify returns to AI/robotics adoption.
Measurement and research practice: Validated text-based adoption proxies enable large-scale study of AI/robotics diffusion and its economic consequences.
Broader research directions: Findings motivate causal investigations (addressing endogeneity of adoption), exploration of mechanisms (e.g., monitoring, agency cost reduction), and study of labor, productivity, and distributional effects as robotics diffusion accelerates.

Assessment

Paper Typecorrelational Evidence Strengthlow — Findings are based on observational panel associations: fixed effects and controls reduce some confounding but do not eliminate likely time-varying omitted variables, reverse causality (more efficient firms adopt robotics), or selection into adoption; validation of the text measure and heterogeneity/robustness checks increase credibility but do not establish causal identification. Methods Rigormedium — The analysis uses appropriate panel methods (firm and year fixed effects), controls, proxy validation, interaction tests, and heterogeneity analysis, which are standard and competent; however, it lacks stronger identification strategies (e.g., IV, exogenous shocks, event-study, regression discontinuity) and full transparency on proxy construction and potential measurement error. SamplePanel of 412 Chinese A-share listed firms observed 2015–2022; main variables are a text-based firm-level humanoid robotics adoption (HRA) proxy, a composite corporate governance index (CGI), and a standard corporate finance measure of investment inefficiency; sample selection details (industries, exclusions) not fully specified in the supplied text. Themesadoption governance IdentificationTwo-way panel regressions with firm and year fixed effects, control variables, and interaction terms (HRA × CGI); uses a text-based proxy for humanoid robotics adoption and robustness/heterogeneity checks but no exogenous variation (no instrument, natural experiment, or difference-in-differences exploiting plausibly exogenous timing). GeneralizabilityLimited to Chinese A-share listed firms — results may not generalize to private firms, smaller firms, or non-Chinese institutional environments, Time window 2015–2022 may miss later diffusion dynamics of humanoid robotics and evolving regulations/technology, Text-based HRA proxy may misclassify adoption or capture disclosure/reporting intensity rather than actual investment/use, Focus on humanoid robotics may not translate to other AI/automation technologies or broader intelligent manufacturing, Sector composition not specified — effects may differ across manufacturing vs services

Claims (6)

Claim	Direction	Outcome	Confidence & Evidence	Details
Humanoid robotics adoption is associated with lower corporate investment inefficiency in Chinese listed firms. Organizational Efficiency	negative	Corporate investment inefficiency	Reading fidelity high Study strength medium	n=412 β = -0.312 0.3
Higher-quality corporate governance strengthens the negative association between humanoid robotics adoption and investment inefficiency. Organizational Efficiency	negative	Corporate investment inefficiency conditional on corporate governance quality	Reading fidelity high Study strength medium	n=412 HRA × CGI β = -0.148 0.3
The reduction in investment inefficiency associated with humanoid robotics adoption is strongest among non-state-owned enterprises. Organizational Efficiency	negative	Corporate investment inefficiency	Reading fidelity high Study strength medium	n=412 0.3
The reduction in investment inefficiency associated with humanoid robotics adoption is strongest among firms with independent boards. Organizational Efficiency	negative	Corporate investment inefficiency	Reading fidelity high Study strength medium	n=412 0.3
The study measures humanoid robotics adoption using a text-based proxy and corporate governance quality using a composite corporate governance index. Adoption Rate	positive	Measurement of humanoid robotics adoption and corporate governance quality	Reading fidelity high Study strength low	n=412 0.15
Projected humanoid robotics market growth raises the question of whether robotics adoption leads to productive capital allocation or wasted investment. Organizational Efficiency	mixed	Productive versus wasted corporate investment associated with robotics adoption	Reading fidelity high Study strength low	USD 2.1B in 2023 → USD 38B by 2035 0.15