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This study aims to provide measurable information that evaluates a company’s ESG performance based on the conceptual connection between ESG, non-financial elements of a company and the UN Sustainable Development Goals (SDGs) for resolving global issues.

A novel data processing method based on the BERT is presented and applied to analyze the changes and characteristics of SDG-related ESG texts from companies’ disclosures over the past decade. Specifically, ESG-related sentences are extracted from 93,277 Form 10-K filings disclosed between 2010 and 2022 and the similarity between these extracted sentences and SDGs statements is calculated through sentence transformers. A classifier is created by fine-tuning FinBERT, a financial domain-specific pre-trained language model, to classify the sentences into eight ESG classes.

The quantified results obtained from the classifier reveal several implications. First, it is observed that the trend of SDG-related ESG sentences shows a slow and steady increase over the past decade. Second, large-cap companies relatively have a greater amount of SDG-related ESG disclosures than small-cap companies. Third, significant events such as the COVID-19 pandemic greatly impact the changes in disclosure content.

This study presents a novel approach to textual analysis using neural network-based language models such as BERT. The results of this study provide meaningful information and insights for investors in socially responsible investment and sustainable investment and suggest that corporations need a long-term plan regarding ESG disclosures.

We evaluate the effect of political connections on the stock valuation of emerging market firms following the announcement of cross-border mergers and acquisitions (M&As). We further analyze the moderating roles of home and host market environments.

Our analysis of 361 Chinese cross-border M&A transactions during 2014–2018 employs an event-study methodology to assess the cumulative abnormal return (CAR) for acquirers. To test our hypotheses, we utilize a multiple regression model.

Politically connected firms experience a decrease in firm value following the announcement of cross-border M&As. However, this negative effect is weakened when the firm’s home region is more market-oriented, reflected by economic activity driven primarily by market mechanisms rather than government intervention. In contrast, the negative effect is strengthened when the host country exhibits higher governance quality, characterized by sound legal structures, labor regulations and developed capital markets.

Extending beyond previous studies on cross-border M&A performance, we analyze firm value based on signaling theory. Our findings reveal that market investors view cross-border M&As undertaken by politically connected firms from emerging economies with caution, resulting in a decline in acquirer value. Moreover, investors react more positively to cross-border M&As by politically connected acquirers in truly market-based regions. Conversely, investors expect that politically connected acquirers would encounter additional hurdles when executing cross-border M&As if the host country has high-quality governance.

This study investigates the underlying mechanism through which perceived local iconness increases customers’ purchase intentions for culturally mixed products.

It utilizes an online survey with purposive sampling to gather data. Structural equation modeling is applied to examine data gathered from 471 Chinese customers.

Consumers’ perceived local iconness of culturally mixed products positively influences their purchase intentions, and this connection is mediated by perceptions of quality, social and emotional values.

Incorporating Chinese cultural elements that can evoke local iconness perceptions among Chinese consumers is necessary for global brands. Moreover, when creating or promoting culturally mixed products, global brands should carefully consider consumers’ perceived quality, social and emotional values.

Drawing on the signaling theory, this study advances knowledge on how local iconness increases the value of and customers’ desire to purchase culturally mixed products. It provides practical suggestions on how global brands can succeed when launching culturally mixed products in emerging markets.