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前沿速遞(20230407)

2023-04-08 00:16 作者:小志小視界  | 我要投稿

中文目錄

1.中國會計研究回顧:基于過往發(fā)表分析
2.中國相關會計研究的過去、現在與將來
3.土地財政的非預期后果:來自企業(yè)避稅的證據
4.信息可得性與公司創(chuàng)新:基于谷歌退出場景
5.風口浪尖:百佳企業(yè)公民榮譽與投資者反應
6.亦敵亦友:多線程工作與項目績效


1.A review of China-related accounting research in the past 25 years(JAE2022)

The past 25 years have seen an exponential growth in the number of China studies in the leading accounting journals. The rise in China-related research mirrors the country's increased importance on the global stage and a growing appreciation of the economic importance of Chinese institutions. We organize our review of the China literature around three central themes: 1) political and regulatory institutions, 2) China's relationships with foreign investors, and 3) the availability of novel data and regulatory shocks. The former two themes address research questions that are more China-centric, while the third exploits the China setting to examine questions that are more universal. We highlight the contributions that China studies have made to the broader accounting literature, the limitations of the current literature, and we offer suggestions for future research directions.

2.The past, present, and future of China-related accounting research(JAE2022)

This discussion makes several observations regarding the past 25 years of China-related accounting research reviewed in Lennox and Wu (2022). First, we discuss factors of supply and demand that led to the rise of China-related studies and how this growth has contributed to the internationalization of accounting research. We note that the taxonomy of the literature by geographic region rather than topic or methodology is unusual and makes it difficult to formulate a common framework that would help organize the many contributions. Next, we distill distinct patterns in authorship, choice of topics, and asserted contributions of China-related studies. Studies are increasingly shaped by the availability of new data and regulatory reforms. These features should be interpreted carefully, as most reforms are interconnected and reflect the purposeful outcome of a tightly controlled economy. As a result, issues of generalizability arise. Alternatively, researchers could embrace the China setting and strive to identify the local institutional forces that make it special. We see such a more institutional, context-specific view of China-related—or better—international research as an opportunity for the field. We close by presenting five broad themes we view as promising areas for future China-related research.### A review of China-related accounting research in the past 25 years

3.The Unintended Consequence of Land Finance: Evidence from Corporate Tax Avoidance(MS2022)

Using a large sample of unlisted industrial firms in China, we find that a decrease in local governments’ land transfer revenues leads to lower tax avoidance by firms within their jurisdiction. Our cross-sectional variation tests suggest that the tax-avoidance-reduction effect is stronger in cities with higher land finance dependence and government intervention, as well as where the political leaders have stronger promotion incentives. However, the effect is moderated for politically connected firms. Further analysis reveals that intensified tax enforcement is the mechanism through which land transfer revenue losses result in decreased tax avoidance. Our study offers novel evidence on a previously underexplored determinant of corporate tax avoidance through the lens of land finance.

4.Information Accessibility and Corporate Innovation(MS2022)

This study identifies information accessibility as a determinant of corporate innovation. Using the sudden termination of Google’s search services in China, we find a persistently large negative effect on the intensity and quality of innovation among firms relying on foreign knowledge. The results are stronger for firms in industries dominated by foreign technology, in regions with local web filters, and for firms with fewer alternative sources of foreign information. We also find that the affected firms cite fewer foreign patents and their innovation efficiency declines after Google’s exit. Overall, the results are consistent with the view that access to information is an important driver of technological progress.

5.The risk of being ranked: Investor response to marginal inclusion on the 100 Best Corporate Citizens list(SMJ2023)

Despite the proliferation of lists and rankings that recognize firms for superior performance, empirical studies have been limited in their ability to causally evaluate how inclusion for the marginal firm influences shareholder value. We address this limitation by examining how investors responded to firms that were barely included or excluded from the 100 Best Corporate Citizens list. Contrary to prevailing theoretical expectations, our findings indicate that marginal firms that were included in the ranking experienced negative abnormal returns compared to marginal firms that were excluded. We discuss the theoretical implications of these findings and how they inspire future research questions for scholarship on rankings and status. We also discuss implications for managers that question whether and when being ranked results in financial benefits or liabilities.

6.Multi-project work and project performance: Friends or foes (SMJ2023)

While multi-project work (MPW) is becoming an increasingly popular work arrangement, its relationship with project performance is understudied. On the one hand, MPW is deployed to increase employee worktime utilization and productivity, which should be reflected in more timely project completion. On the other hand, MPW also brings switching costs due to attention residue and cognitive setup. Based on this trade-off, we derive an inverted U-shaped relationship between MPW and project performance. We find support for this relationship in a longitudinal dataset containing 9,649 project-month-employee observations. More specialized experience, project similarity, and employee familiarity positively moderate the inverted U-shape. Furthermore, the results are robust to a host of model specifications, data structures, assumptions, and alternative explanations.

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