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While the determinants of voluntary political spending disclosure have been extensively studied in the literature, there remains a lack of clear evidence regarding the specific impacts of managerial ability and political risk on such disclosure. Thus, the purpose of this study is to shed light on whether and how managerial ability and political risk influence firms’ political spending disclosure.

This study uses a sample of 2,242 firm-year observations of S&P 500 companies between 2013 and 2021.

This study finds that firms with high-ability managers generally disclose more information about political spending. This positive relationship between managerial ability and political spending disclosure holds even after conducting additional tests to address potential endogeneity concerns. Furthermore, this study finds that firms operating in high-risk political environments also exhibit a greater propensity to disclose information regarding their political spending. The results remain robust to alternative measures of managerial ability and political risk.

This study suggests that when designing policy to motivate firms to disclose political spending information, policy makers need to be aware of the critical role of managerial ability and idiosyncratic political risk the firm faces. In addition, this study offers insights to shareholders, advocacy groups, regulators and academics interested in understanding the determinants of political spending disclosure.

This study is among the first to provide empirical evidence that political spending disclosure can be explained by managerial ability and political risk. In addition, this study complements the literature on the consequences of managerial ability and political risk. Focusing on voluntary political spending disclosure, this study contributes to a deeper understanding of the factors shaping the overall corporate information environment.

The purpose of this paper is to study the US stock market and try to explain why short-term contrarian profits have largely disappeared in the past two decades.

In this work, the authors decompose the short-term contrarian profits into cross-sectional variations, firm-level overreactions and lead-lag effects to study the changes in their shares. Then, the authors study the behavior of the subgroups in the winner and loser subportfolios of contrarian investment strategies.

The authors find that short-term contrarian profits have largely vanished since 2000. Changes in the shares of the three components of contrarian profits, which are cross-sectional variations, firm-level overreactions and lead-lag effects, are not the main reason for the disappearance of contrarian profits in the past two decades. Instead, the disappearance of short-term contrarian profits is primarily due to the heterogeneous evolution of subgroups in the portfolio, which leads to a decrease in the overall level of overreactions that drive the contrarian profit.

The work explains the disappearance of short-term contrarian profits in the US stock market.

Most prior studies investigating determinants of CEO compensation in nonprofit hospitals ignore how managerial ability affects compensation. This study aims to examine whether CEOs with greater ability to manage corporate resources efficiently receive more payment in nonprofit hospitals.

This study employs a sample of 764 observations from 85 Pennsylvania nonprofit hospitals for the period 2010–2020.

This study finds a positive and statistically significant association between managerial ability and CEO compensation. The results are robust to alternative measures of managerial ability.

The measure of managerial ability proposed in this study could be used by boards of directors to quantify, evaluate and benchmark CEO ability. The results are also relevant to policymakers, stakeholders and the public interested in understanding the determinants of CEO compensation in nonprofits.

This study is among the first to use a more precise measure of managerial ability, which captures the unobserved manager-specific aspects of CEO ability. In addition, this study contributes to the literature by providing evidence that CEO's ability to manage hospital resources efficiently plays an essential role in designing executive compensation contracts.

There has been little empirical research focused on the effect of lean on hospital performance in the form of a consolidated methodology. This paper aims to apply a more sophisticated approach to examine whether hospitals’ decision for lean implementation is endogenous and test the effects of lean on hospital performance.

This study uses a publicly available data set of hospitals across the USA from 2002 to 2019 and performs two-stage least squares (2SLS) analysis. In the first stage, a probit model is used to estimate hospitals’ decision to implement lean. The fitted probability values from the first stage are used in the second stage to test the relationship between lean and hospital performance. Ordinary least squares (OLS) regression results are compared with those of the 2SLS approach.

The decision to implement lean is significantly associated with hospital-specific characteristics (the complexity of care, size and cost-to-charge ratio), indicating hospitals’ decision for lean implementation is endogenous. Moreover, there is strong evidence that lean implementation is positively associated with hospital financial and operational performance. The Hausman F-tests confirm the presence of endogeneity and this, in turn, suggests that OLS regressions result in unreliable estimates.

The findings of this study can help hospital managers benchmark performance and explore opportunities for profit and efficiency improvement. The findings are also relevant to policymakers who strive to lower health-care spending.

This study is motivated by the challenges facing the health-care industry. This study is among the first to investigate endogeneity in lean implementation and the association between lean and hospital performance using large-scale archival panel data. The use of the 2SLS approach provides more confidence in statistical findings.

This study aims to estimate the synergy effect of agricultural dual-scale management (ADM) on farmers' total household income, its heterogeneous effects and its mechanisms.

This study constructs a theoretical analysis framework based on the division of labor and synergy theory, empirically assesses the impact of ADM on farmers' income, and further discusses the heterogeneity and mechanisms using the propensity score matching (PSM) and quantile treatment effect (QTE) models. Data is collected from 1,076 households across 4 cities in Liaoning Province of China in 2021.

ADM can improve the total household income of farmers, and the impact force is greater than that of the single-scale management mode. ADM is more conducive to improving the income of farmers with low income and low labor endowment. Moreover, ADM can improve agriculture production efficiency, increase net grain production income. Nevertheless, it has no significant effect on farmers' off-farm employment income.

Previous studies have mainly focused on the income effect of land scale management or service scale management. To the best of our knowledge, this study is the first to identify the synergy effect of ADM on farmers' income in China. It provides new insights into the process of agricultural production and management mode transitions in rural China.

The purpose of this paper is to examine the changes of brain functional network after electroconvulsive therapy (ECT) treatment in major depressive disorder (MDD).

In this study, resting electroencephalography (EEG) is used to explore the changes in spectral power density, functional connectivity and network topology elicited by an acute open-label course of ECT in a group of 19 MDD subjects. The brain functional network based on Pearson correlation is constructed in a continuous threshold space (0.38–0.59). Complex network theory is used to analyze the network characteristic such as the length of the characteristic path, clustering coefficient, degree, betweenness centrality, global efficiency and small-world architecture.

The results show that ECT increased the spectral power density of Delta, Theta and Alpha1 bands and the full frequency. ECT increases the functional connectivity in Delta and full frequency and reduces the functional connectivity in Alpha2 band. In the selected threshold space, the clustering coefficient, global efficiency and small-world attributes of the network are changed significantly after ECT.

The findings indicate that resting EEG could effectively characterize the changes of brain functional networks following ECT in MDD. The results provide a theoretical basis to explore the neurophysiological mechanism of ECT in the field of MDD treatment.

The assumption that the family migrates as a unit downplays migrants’ circularity. This chapter focuses on China's rural–urban labor migrants that travel back and forth between the sites of work and home community and between places of work. I argue that migrants and their households pursue work flexibility in order to obtain the best of the urban and rural worlds, by gaining earnings from urban work and at the same time maintaining social and economic security in the countryside. Work flexibility demands flexibility in household organization, in the form of division of labor and collaboration between genders, generations, and households. Based on a study in Sichuan, I examine household biographies and narratives to identify migrants’ work and household strategies.

Migrants change jobs frequently, switch from one type of work to another and one location to another readily, and often return to the home village for months or even years before pursuing migrant work again. Not only are migrants ready to split the household between the city and the countryside, but also they frequently change from one form of division of labor to another. The inside–outside model, where the wife stays in the village and the husband does migrant work, used to be the dominant arrangement. Over time, the outside–outside model, where both the husband and wife migrate to work and leave behind other family members, is increasingly popular. This is facilitated by intergenerational and interhousehold division of labor in the form of assistance by the extended family. Intergenerational division of labor takes place when the second generation is replacing the parents in migrant work. This research's findings support the notion that rural–urban migrants are fast becoming a hybrid segment of Chinese society, playing dual roles of farmers and urban workers and straddling the peasant and urban worlds.

The purpose of this study is to analyze and empirically test the impact of Economic Freedom [(EF) measured by size of the government] and inequality on environmental pollutants in addition to macroeconomic variables like per capita GDP, governance indicators, etc. along with existence of non-linear (Kuznets) postulation between economic growth and per capita emissions.

The paper examines the select Asian nations' data attributes, first qualitatively using correlation data technique, followed by empirical testing using differenced Generalized Methods of Moments (GMM). Using the data of selected Asian countries for the period from 1981 to 2016, the authors have applied a dynamic panel technique.

The key findings that emerge from the study are as follows: first, there is weak evidence for the existence of the Kuznets curve based on the empirical results; second, the results indicate that increased EF (by lower government size) could enable to contain carbon emissions; third, there is a negative relationship between democracy and environmental quality (corroborating to the existing studies on carbon emissions); and fourth, there is a strong statistical evidence that increasing income inequality pairs with greater emissions in the middle range of Gini.

The paper conforms to the universally held conviction that government interventions are essentially less productive and the desirability of a reduced size of the government in realizing sustainable green growth with equity.

In an era of liberalization and privatization, it is argued that the role of the government needs to be redefined if not necessarily truncated.

The current paper incorporates Gini (inequality measure) through its intercountry range dummies to study the differential effect of Gini on carbon emissions. Also, in some of the recent studies, distributional issues have surfaced explicitly in the discussion of income–climatic change relationship, but EF largely remains missing. The purpose of the current study is to investigate the same empirically.

The purpose of this study is to explore the seismic damage mechanism of the Dayemaling Bridge during the Maduo earthquake and discuss the seismic damage characteristics of the high-pier curved girder bridge.

In this study, the numerical simulation method is used to analyze the seismic response using synthetic near-field ground motion records.

The near-field ground motion of the Maduo earthquake has an obvious directional effect, it is more likely to cause bridge seismic damage. Considering the longitudinal slope of the bridge and adopting the continuous girder bridge form, the beam end displacement of the curved bridge can be effectively reduced, and the collision force of the block and the bending moment of the pier bottom are reduced, so the curved bridge with longitudinal slope is adopted.

Combined with the seismic damage phenomenon of bridges in real earthquakes, the seismic damage mechanism and vulnerability characteristics of high-pier curved girder bridges are discussed by the numerical simulation method, which provides technical support for the application of such bridges in high seismic intensity areas.

This paper explores the application of blockchain technology in the public cultural sector, where adoption remains limited despite its potential. The study identifies major use case scenarios and empirical examples of blockchain adoption in public sector cultural services through a scoping literature review.

A scoping literature review was conducted to map research and conceptual approaches to blockchain technology in the public cultural sector, focusing on key use cases emerging and empirical examples.

The review reveals that while blockchain has the potential to enhance public cultural services, its adoption is still in its early stages. Identified use cases include tokenization of cultural assets, digital rights management and decentralized funding models. Empirical examples in the public cultural sector are sparse, and the impact of the technology remains largely theoretical.

The study is limited by the scarcity of empirical data on blockchain adoption in public cultural services. Future research should focus on in-depth case studies and empirical analyses to understand the practical implications of blockchain in this sector.

Public sector organizations offering cultural services may use these insights to guide blockchain adoption and implementation decisions.

Blockchain adoption in public cultural services has the potential to democratize access, enhance transparency and foster community engagement, contributing to a more inclusive and participatory cultural ecosystem.

This paper contributes to the emerging discourse on blockchain in the public sector, focusing on the often-overlooked cultural services. It highlights the benefits and challenges of blockchain adoption in this sector, providing insights for future research and policy decisions.