Does technological diversity in M&A networks improve ESG performance?

This paper identifies the effect of technological diversification in M&A networks on corporate ESG (Environmental, Social, and Governance) performance. Using hand-collected IPC patent data, we construct firm-level M&A network measures within a five-year rolling window. We document a robust inverted U-shaped relationship, implying that moderate diversification enhances ESG performance while excessive diversification is detrimental. To address endogeneity, we implement industry-year interaction effects, replace dependent variable, alteration of sample rolling period, and a heckman two-stage model. From the dual perspectives of internal governance and external responsibility, we uncover the intrinsic mechanisms involving agency costs and corporate social responsibility (CSR). Further analysis demonstrates that the ESG-driven effect of technological diversification in M&A networks is more pronounced in firms with high growth potential and superior internal control quality, and this effect is particularly significant in manufacturing industry. Our findings contribute to the applied M&A and innovation literature and providing actionable implications for optimizing M&A strategies.

Authors

Institutions

Publication Details

Journal
Journal of Applied Economics
Published
2026-04-21
DOI
https://doi.org/10.1080/15140326.2026.2657088
Primary Topic
Green IT and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does technological diversity in M&A networks improve ESG performance?

X Zhang, Jie Tian, Yanna Lyu, Hong Qi
Journal of Applied Economics
Green IT and Sustainability
article

Does technological diversity in M&A networks improve ESG performance?

X Zhang, Jie Tian, Yanna Lyu, Hong Qi
article en

Abstract

This paper identifies the effect of technological diversification in M&A networks on corporate ESG (Environmental, Social, and Governance) performance. Using hand-collected IPC patent data, we construct firm-level M&A network measures within a five-year rolling window. We document a robust inverted U-shaped relationship, implying that moderate diversification enhances ESG performance while excessive diversification is detrimental. To address endogeneity, we implement industry-year interaction effects, replace dependent variable, alteration of sample rolling period, and a heckman two-stage model. From the dual perspectives of internal governance and external responsibility, we uncover the intrinsic mechanisms involving agency costs and corporate social responsibility (CSR). Further analysis demonstrates that the ESG-driven effect of technological diversification in M&A networks is more pronounced in firms with high growth potential and superior internal control quality, and this effect is particularly significant in manufacturing industry. Our findings contribute to the applied M&A and innovation literature and providing actionable implications for optimizing M&A strategies.

Journal of Applied EconomicsVol. 29(1)
Fuyang Normal University (CN), Shanxi University (CN)
National Natural Science Foundation of China, ShanXi Science and Technology Department
Industry, innovation and infrastructure
Openalex Percentile: Top 17%
Green IT and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.