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The rule change for segment reporting in 1998 has arguably made segment reporting more relevant through the adoption of the management approach. Meanwhile, the management approach has resulted in a decrease in the comparability of segment income. We introduce firmspecific measures of changes in relevance and comparability due to the rule change. Our treatment firms experienced an increase in the relevance of segment reporting but a large decrease in the comparability of segment income; our benchmark firms barely experienced any changes in relevance and comparability. We examine earnings forecasts before vs. after the rule change issued by financial analysts—a major user group of segment reporting. Relative to benchmark firms, treatment firms’ analyst forecast error reductions around the segment disclosure event are not significantly different after the rule change than before the rule change, but treatment firms’ forecast dispersion reductions around the segment disclosure event are significantly larger after the rule change than before the rule change. These results suggest that despite the decrease in comparability, the new segment reporting rule has increased the decision usefulness of segment information by decreasing disagreement among analysts.

The purpose of this paper is to examine the impacts of Airbnb on hotel employment.

A triple-difference regression framework was used to compare changes in hotel employment in three cities in South Africa where Airbnb started operating relative to cities without this home-sharing platform. Data on hotel employment was drawn from the survey on hotel service conducted by Smith Travel Research whereas the data on Airbnb’s listings was drawn from the Airbnb’s homepage for the period between July 2015 and December 2018. The analysis was restricted to 792 hotels.

Although prior studies have showed that Airbnb has an adverse impact on hotel performances, the findings show that total hotel employment expanded after the entry of Airbnb, accompanied by a marked relative shift towards self-employment. Airbnb supply negatively affected permanent employment, which was compensated by increase in temporary employment and self-employment. While the paper finds no evidence of adverse employment impacts, the hourly earnings declined for hotel employees were compensated by increase in income among self-employed Airbnb hosts. Although these findings might be contradictory to the general conjecture, such evidence calls for a comprehensive investigation of Airbnb’s overall economic impact.

First, the study was based on the impact of Airbnb on hotel employment in South Africa. Caution is therefore required when generalising the findings of this study in other geographic areas. Second, some variables that may affect employment have not been included in this study because of the unavailability of data.

The results show that the sharing economy plays an important role in solving the unemployment problem, particularly in South Africa, where there is a high rate of unemployment. More practical implications are further discussed.

To the best of author’s knowledge, this paper provides the first systematic evidence of the impact of Airbnb on labour market outcomes in the hotel industry in South Africa.

本论文研究Airbnb对酒店就业的影响。

研究采用三重差分回归模型, 对南非三个有Airbnb经营的城市与其他没有Airbnb经营的城市做酒店就业情况的对比分析。酒店就业数据来自于Smith Travel Research进行的Hotel Service问卷。Airbnb数据来自于2015年七月至2018年十二月之间的Airbnb主页上的租赁房屋数据。共792家酒店参与了数据分析。

尽管之前的研究表明Airbnb对酒店绩效有着负面影响, 但是本论文研究表明, 在Airbnb进驻城市后, 该城市的酒店就业提升了, 并伴随着显著的自营就业。然而, Airbnb最终还是对长期的就业有着负面影响, 只是短期就业和自营就业的比重增大而已。虽然本论文未发现Airbnb对就业有负面影响, 但是酒店员工的时薪降低了, 随之弥补的是自营就业的收入增加。尽管本研究结果对整体的文献有着矛盾的地方, 但是仍需针对Airbnb经济影响的全面调研。

首先, 本论文仅研究了南非Airbnb对酒店就业情况的影响。其研究结果在其他地区的推广性则有待考察。第二, 受到数据限制, 一些可能会影响就业率的因素未被收录在本研究样本内。

研究结果表明共享经济对解决就业问题有着重要影响, 尤其是在失业率较高的南非地区。更多的实际意义可以被深入讨论。

本论文是首篇系统分析了Airbnb对南非酒店业劳动市场影响的文章。

This study examines the effect of a Medicaid disenrollment on employment, sources of health insurance coverage, and health and health care utilization of childless adults using longitudinal data from the 2004 Panel of the Survey of Income and Program Participation. From July to September 2005, TennCare, the Tennessee Medicaid program, disenrolled approximately 170,000 adults following a change in eligibility rules. Following this eligibility change, the fraction of adults in Tennessee covered by Medicaid fell by over 5 percentage points while uninsured rates increased by almost 5 percentage points relative to adults in other Southern states. There is no evidence of an increase in employment rates in Tennessee following the disenrollment. Self-reported health and access to medical care worsened as hospitalization rates, doctor visits, and dentist visits all declined while the use of free or public clinics increased. The Tennessee experience suggests that undoing the expansion of Medicaid eligibility to adults that occurred under the Affordable Care Act likely would reduce health insurance coverage, reduce health care access, and worsen health but would not lead to increases in employment.

The purpose of this paper is to explore the intricate relationship between the flagship of the sharing economy, Airbnb and hotel revenue per available room (RevPAR) in South Africa.

To identify the impact of Airbnb on hotel RevPAR, the paper used a triple difference-in-differences framework that compares changes in cities in South Africa where Airbnb started operating relative to areas without Airbnb. A total of 569 hotels were analysed.

While the study finds no evidence of adverse impacts of Airbnb on hotel RevPAR, the findings show that the entry of Airbnb led to a decrease in RevPAR of budget hotels. However, its impact is more pronounced during periods of peak demand, consequently, disrupting the pricing power of hotels.

The research was based on the impact of Airbnb on hotel RevPAR in hotels situated in specific cities in South Africa. Caution is therefore required when generalising the findings of this study to other hotels in other geographic areas. Moreover, if a longer time series data set of hotels in the post-Airbnb time period could become available, it would be interesting to further investigate the time-varying dynamic effects of Airbnb on hotel RevPAR. However, the findings underscore the notion that innovations are not intrinsically disruptive but only relative to another product. In so doing, the study adds to the limited body of work in the field on disruptive innovation and to the academic discourse on innovation in tourism more broadly.

First, the findings suggest the impact on hotels tends towards Airbnb generally playing a largely complementary role rather than a diversionary one. However, to increase RevPAR, hotels should systematically change their pricing models to account for flexible capacity by rethinking the wisdom of seasonal pricing and reduce prices during peak seasons to avoid inviting more competition from Airbnb.

To the best of the author’s knowledge, this paper is the first to explore the relationship between Airbnb and hotel markets using a triple difference methodology.

This paper uses two complementary approaches to estimate the effect of right-to-work (RTW) laws on wages and unionization rates. The first approach uses an event study design to analyze the impact of the adoption of RTW laws in five US states since 2011. The second approach relies on a differential exposure design that exploits the differential impact of RTW laws on industries with high unionization rates relative to industries with low unionization rates. Both approaches indicate that RTW laws lower wages and unionization rates. Under the assumption that RTW laws only affect wages by lowering the unionization rate, RTW can be used as an instrumental variable (IV) to estimate the causal effect of unions on wages. In our preferred specification based on the differential exposure design, the IV estimate of the effect of unions on log wages is 0.35, which substantially exceeds the corresponding OLS estimate of 0.16. This large wage effect suggests that RTW may also directly affect wages due to a reduced union threat effect.

Government repression against civilians while enforcing COVID-19 related lockdowns was widely reported in Africa. At the same time, many have claimed that high-speed (4G) mobile network proliferation provide an accountability mechanism that may constrain police abuses. This study focused on Nigeria to examine (1) the effect of COVID-19 lockdowns on police repression and (2) whether widespread high-speed mobile data networks constrain police repression.

Using data from the Armed Conflict Location and Event Database (ACLED) and the Mobile Coverage Database, this study used difference-in-differences (DID) and triple difference (DDD) estimation on a sample of 423,925 observations (local government area-days) between January 1, 2019 and June 30, 2020 to estimate the causal effects of COVID-19 lockdowns and high-speed (4G) mobile data on police repression.

Lockdowns increased certain forms of police repression in areas with substantial high-speed (4G) mobile networks. Separate from the lockdowns, widespread 4G network increased police repression even without lockdowns.

Proliferation of high-speed mobile networks in Nigeria appears to facilitate, rather than constrain, police repression. It is possible that high-speed mobile data networks allow police to detect and repress citizen behaviors, rather than permitting citizens to correct repressive police behaviors.

Although many studies have explored the COVID-19 pandemic and police behavior in Western countries, only a few have examined its effects in states with even more troubled policing institutions, including those in sub-Saharan Africa, using DID and DDD estimation.

This study is motivated by the Compact with Africa (CWA) initiative to promote foreign direct investment (FDI) in Africa. However, FDI is argued to be one of the primary causes of environmental pollution (CO2 emissions). In that regard, this study estimates the impact of the CWA initiative on FDI and environmental pollution.

The study utilized the difference-in-difference (DID) and triple difference (DDD) estimation strategies to examine the causal impact of the CWA initiative on FDI and environmental pollution from 2005 to 2019. The study selected nine CWA countries and nine non-CWA countries as treatment and control samples.

The authors found that the CWA initiative positively promotes FDI in the participant countries compared to non-participant countries. The CWA initiative also promoted environmental pollution in the CWA countries compared to non-CWA countries. Furthermore, the DDD estimates show that the effect of the CWA initiative on environmental pollution is through FDI.

The authors recommend policies to attract environmentally friendly FDI for both Compact and non-Compact economies.

The study is the first to provide empirical evidence on the CWA initiative on FDI and environmental pollution in Africa. The study used a quasi-experimental method on the relationship between FDI and environmental pollution in Africa.

The purpose of this paper is to investigate the effect of ownership structure arising from China’s unique privatization process on listed firms’ tunneling activities and their interaction with tax avoidance.

Using hand-collected data on the incompletely restructured state-owned listed firms and their applicable tax rate, this paper conducts a multivariate regression to test research questions. It also employs a triple differences method to examine whether the observed interaction between tax avoidance and tunneling is mitigated for well-governed firms.

It documents that controlling shareholders’ tunneling increases as the percentage of shares owned by state-owned enterprises (SOEs) increases. Evidence also shows that the magnitude of tunneling increases when SOEs controlled by the central government engage in more tax avoidance, suggesting that these firms use tax avoidance to facilitate wealth expropriation.

These findings advance the understanding of the tunneling incentive behind the tax avoidance behavior for a subset of Chinese SOEs and have implications for emerging capital markets that are characterized by concentrated government ownership and weak corporate governance.

This paper is the first paper to investigate the effect of the incomplete privatization process on tunneling and the interaction between tunneling and tax avoidance activities. It extends prior studies by investigating the incentives behind SOEs’ tax avoidance from the perspective of an agency problem and documenting that good corporate governance plays an important role in deterring the diversionary tax avoidance.

This paper aims to contribute to the literature on the earnings management (EM)–corporate social responsibility (CSR) relationship as most of the previous studies have been carried out in non-turbulent periods. This study investigates whether CSR affects EM during the pandemic period by testing two hypotheses: the cognitive biases hypothesis and the resilience hypothesis

The difference-in-difference and triple difference approaches are used for a sample of 536 US firms (268 socially responsible firms and 268 matched non-socially responsible counterparts) during the 2017–2021 period. Socially responsible firms are selected from the MSCI KLD 400 Social Index, and matched firms are identified through the propensity score matching method.

The authors find an income-increasing practice for both socially responsible firms and control firms for the whole period and each sub-period. Moreover, socially responsible firms are more likely to manage their earnings (income increasing) than their counterpart. Furthermore, the authors show that CSR commitment exacerbated EM in line with the cognitive biases hypothesis.

This study is the first shed light on the dark side of CSR during pandemic periods.

The purpose of this paper is to examine the relationship between the purchase of insurance and economic growth among agricultural households.

Using survey data of the agricultural sector obtained from China over two years, the authors highlight the effect of job switching between farm and non-farm activities on the demand for insurance by applying the difference-in-differences and triple differences methodologies.

The results show that compared with farm income, non-farm income is associated with an increased (decreased) demand for insurance among households in Eastern (Western) China. The inequality in degree of economic development between the regions plays an important role in this finding. Both education and income exhibit a positive relationship with insurance demand for most regions. In addition, in 2007, regardless of farm or non-farm sector, switches are (except in the northeast region) associated with a significant increase in insurance expenditures. Households who switched from the farm to non-farm sector in 2007 are significantly negatively associated with insurance expenditures in the western region.

Inequalities in the degree of economic development play an important role in insurance consumption.

The authors assess the determinants of insurance market development in the agricultural sector in China, characterized by inter-regional disparities in economic development.