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Whilst the relationship between corporate social responsibility (CSR) and corporate financial performance has been well documented, CSR has rarely been studied from the perspective of corporate poverty alleviation. This study aims to test whether participation in targeted poverty alleviation (TPA) affects firms' market value and to explore how the magnitudes of market value vary in different CSR environments.

Based on recent Chinese TPA initiatives and on 108 TPA announcements of Chinese-listed firms from 2016 to 2020, this study adopts an event study method to investigate the impact of firm's TPA announcements on the firm's market value. Then, the authors construct a cross-sectional regression to analyse different CSR factors that may affect market reactions.

The results demonstrate that TPA announcements can increase a firm's overall market value. Additionally, the results show that TPA way and firm ownership significantly moderate the market reaction, namely the positive reaction is more significant when the TPA announcements involve charity poverty alleviation rather than industrial poverty alleviation and for privately owned firms rather than state-owned firms.

The empirical results help TPA practitioners obtain a nuanced understanding of whether and when to participate in poverty alleviation is worthwhile. This study also provides a reference for poverty alleviation work in countries with similar backgrounds.

This study not only provides empirical evidence for the consequences of poverty alleviation behaviour of firms in developing countries, but also complements the field of CSR research in developed countries.

The purpose of this research is to investigate the R&D investment (RDI) of manufacturing firms from the perspective of supply chain network, especially the effect of firms' supply chain network structures (network power and network cohesion) on its RDI, and further to explore the contingency conditions of this effect within the context of Chinese manufacturing supply chains.

The authors collect a large sample of Chinese manufacturing firms over the period 2014–2019 and construct a large-scale supply chain network, and finally obtain 2,390 firms from 20,483 observations. Ordinary least squares regression was adopted to analyse how supply chain network structures affect RDI in manufacturing firms.

It is surprising that firm's supply chain network structures have a negative effect on RDI. In addition, knowledge and technology intensity (KTI) positively moderate the relationship between network cohesion and RDI.

This study contributes to the innovation stream from the perspectives of supply chain network, and provides the empirical findings that the negative role of a firm's supply chain network structure on its RDI for the first time. The rationale for these negative effects is straightforward according to the social capital theory that manufacturing firms with a high level of social capital that are possibly to accept established patterns of thinking and behaviour, causing them to decrease the enthusiasm of RDI.