Rivalry signal transmission, technology spillover and corporate environmental performance

We investigate how the Rivalry Signal (RS) and Technology Spillover (TS) affect Corporate Environmental Performance (CEP) through Corporate Environmental Management (CEM). We identify Rival Signal and Technology Spillover from firms' information exchange with their rivals in export networks by product-level data of China based on product space theory. RS indicates intensified competition in a market, and TS indicates useful information in that market. We then explore the effects of RS and TS on CEP, and the empirical results show that RS and TS improve CEP simultaneously. These effects are more pronounced for firms with larger sizes, regions with more severe pollution,and coastal areas. By employing mediating effect model, we find that the RS promotes firms' technological improvements and broadens the range of firms' imported intermediates, thereby enhancing CEP; the TS motivates firms to switch to the market's core product and brings about technological improvements, subsequently improving CEP. • We study the role of export networks on Corporate Environmental Performance (CEP). • We identify the Market Rivalry and Knowledge Spillovers from export networks. • Market Rivalry and Knowledge Spillovers improve CEP simultaneously. • Market Rivalry enhances technological level and extends the scope of imported inputs. • Knowledge Spillovers promote firms’ product switch and technological level.

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Publication Details

Journal
International Review of Economics & Finance
Published
2025-01-10
DOI
https://doi.org/10.1016/j.iref.2025.103860
Citations
1
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
3.13
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article

Rivalry signal transmission, technology spillover and corporate environmental performance

Zhuangxiong Yu, Xunpeng Shi, Jiajia Cheng, Yang Yang
1 citations
International Review of Economics & Finance
Economic and Technological Innovation
3.13
article

Rivalry signal transmission, technology spillover and corporate environmental performance

Zhuangxiong Yu, Xunpeng Shi, Jiajia Cheng, Yang Yang
article en
1 citations

Abstract

We investigate how the Rivalry Signal (RS) and Technology Spillover (TS) affect Corporate Environmental Performance (CEP) through Corporate Environmental Management (CEM). We identify Rival Signal and Technology Spillover from firms' information exchange with their rivals in export networks by product-level data of China based on product space theory. RS indicates intensified competition in a market, and TS indicates useful information in that market. We then explore the effects of RS and TS on CEP, and the empirical results show that RS and TS improve CEP simultaneously. These effects are more pronounced for firms with larger sizes, regions with more severe pollution,and coastal areas. By employing mediating effect model, we find that the RS promotes firms' technological improvements and broadens the range of firms' imported intermediates, thereby enhancing CEP; the TS motivates firms to switch to the market's core product and brings about technological improvements, subsequently improving CEP. • We study the role of export networks on Corporate Environmental Performance (CEP). • We identify the Market Rivalry and Knowledge Spillovers from export networks. • Market Rivalry and Knowledge Spillovers improve CEP simultaneously. • Market Rivalry enhances technological level and extends the scope of imported inputs. • Knowledge Spillovers promote firms’ product switch and technological level.

International Review of Economics & FinanceVol. 98
University of Technology Sydney (AU), Sun Yat-sen University (CN), Guangdong University of Foreign Studies (CN), Institute of Industrial Economics (CN)
Climate action
Openalex Percentile: Top 10%
Economic and Technological Innovation
3.13
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Rivalry signal transmission, technology spillover and corporate environmental performance — Zhuangxiong Yu, Xunpeng Shi, et al. · International Review of Economics & Finance (2025) | TGRS Research Map | TGRS