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This study reduces carbon emission in logistics distribution to realize the low-carbon site optimization for a cold chain logistics distribution center problem.

This study involves cooling, commodity damage and carbon emissions and establishes the site selection model of low-carbon cold chain logistics distribution center aiming at minimizing total cost, and grey wolf optimization algorithm is used to improve the artificial fish swarm algorithm to solve a cold chain logistics distribution center problem.

The optimization results and stability of the improved algorithm are significantly improved and compared with other intelligent algorithms. The result is confirmed to use the Beijing-Tianjin-Hebei region site selection. This study reduces composite cost of cold chain logistics and reduces damage to environment to provide a new idea for developing cold chain logistics.

This study contributes to propose an optimization model of low-carbon cold chain logistics site by considering various factors affecting cold chain products and converting carbon emissions into costs. Prior studies are lacking to take carbon emissions into account in the logistics process. The main trend of current economic development is low-carbon and the logistics distribution is an energy consumption and high carbon emissions.

This empirical study aims to examine luxury fashion retailers' localised multiple channel distribution strategies in China.

Through case studies of 15 participating retailers, qualitative data were collected from 33 semi-structured interviews.

Strong impacts of internationalisation strategies, distribution strategies and channel length towards multiple channel retailing are revealed. Multi-channel retailing is widely employed by firms who have entered China and further developed their businesses through local partnerships and adopted a selective distribution strategy via relatively longer channels. Omni-channel retailing is only suitable for the few retailers using an exclusive distribution strategy through direct marketing and wholly owned customer relationship management. As a dynamic transformation from multi- to omni-channel retailing, cross-channel retailing is adopted by those who are withdrawing from local partnerships and shifting to wholly owned expansions and operations in host markets.

The results are potentially challenged by relatively small sample size.

Practitioners are suggested to adapt multiple channel retailing to their international expansion strategies, distribution strategies and channel length in the host markets.

This paper contributes to the literature in both multiple channel retailing and international retailing by offering insights into the motives, development patterns and suitability of multiple channel retailing in the international retail marketing context.

Emphasizing the critical role of technology-enabled distribution in tourism, this study, a viewpoint, aims to highlight the potential of democratized technologies in readdressing the competitive imbalance between small- and medium-sized tourism enterprises (SMTEs) and their larger peers in today’s online marketplace. By enhancing competitiveness and performance, democratized technologies can strengthen the resilience, sustainability and competitive position of the SMTEs on which tourism depends, helping to support the Horizon 2050 agenda and UN’s Sustainable Development Goals.

Examining the development of online and electronic distribution in tourism, the viewpoint identifies the key challenges to the successful use of technology-based distribution systems by SMTEs, as well as highlights the trend toward democratized technologies as a potential solution to help improve technology take-up and performance.

With no/low initial capital or operating costs, and little need for technical expertise, democratized technologies have the potential to overcome two of the three key challenges limiting the successful adoption and use of distribution technologies by SMTES. The key blockage remains one of managerial awareness and acceptability. With informal organization structures, little managerial or technical training and an ingrained reluctance to change, SMTE managers remain unfamiliar of the possibilities offered by this developing trend. While this challenge could be addressed by awareness building and training, in the longer run, it is likely that more substantial progress will arise from generational change in SMTE management, with digitally native successors more likely to exploit this development to improve competitiveness and performance.

Emphasizing the pivotal role that democratized technology can potentially play in redressing the competitive imbalance between SMTEs and their larger peers in the distribution space, this viewpoint serves as a call for action for tourism businesses to re-examine their approach to technology adoption and leverage democratized technologies to address current deficiencies in their distribution approach, helping to improve competitiveness and performance, thus supporting the Horizon 2050 initiative and furthering the UN’s Sustainable Development Goals.

这篇观点论文强调了技术驱动的分销在旅游业中的关键作用, 强调了民主化技术在重新解决中小旅游企业（SMTEs）与其大型同行在当今在线市场中的竞争失衡方面的潜力。通过提高竞争力和绩效, 民主化技术可以加强旅游业所依赖的SMTE的韧性、可持续性和竞争地位, 有助于支持地平线2050议程和联合国可持续发展目标。

该观点论文考察了在线和电子分销在旅游业的发展, 确定了SMTE成功使用基于技术的分销系统的关键挑战, 并强调了将民主化技术作为帮助提高技术使用率和性能的潜在解决方案的趋势。

由于没有/较低的初始资本或运营成本, 也几乎不需要技术专业知识, 民主化技术有可能克服限制SMTES成功采用和使用分销技术的三个关键挑战中的两个。关键的障碍仍然是管理意识和可接受性。由于非正式的组织结构、很少的管理或技术培训以及根深蒂固的不愿改变, SMTE的管理人员仍然不熟悉这一发展趋势所提供的可能性。虽然这一挑战可以通过提高认识和培训来解决, 但从长远来看, SMTE管理的代际变革可能会带来更大的进展, 数字原生继任者更有可能利用这一发展来提高竞争力和绩效。

强调民主化技术在纠正SMTE与其在分销领域的大型同行之间的竞争失衡方面可能发挥的关键作用, 本文呼吁旅游企业采取行动, 重新审视其采用技术的方法, 并利用民主化技术来解决其分销方法中的当前缺陷, 帮助提高竞争力和绩效, 从而支持地平线2050倡议, 推动联合国的可持续发展目标。

Haciendo hincapié en el papel fundamental de la distribución posibilitada por la tecnología en el turismo, este punto de vista destaca el potencial de las tecnologías democratizadas para corregir el desequilibrio competitivo entre las Pequeñas y Medianas Empresas Turísticas (PYMETs) y sus homólogas de mayor tamaño en el mercado online actual. Al mejorar la competitividad y el rendimiento, las tecnologías democratizadas pueden reforzar la resistencia, la sostenibilidad y la posición competitiva de las PYMETS de las que depende el turismo, contribuyendo así a apoyar la agenda Horizonte 2050 y los Objetivos de Desarrollo Sostenible de la ONU.

Examinando el desarrollo de la distribución online y electrónica en el turismo, el punto de vista identifica los desafíos clave para el uso exitoso de los sistemas de distribución basados en la tecnología por parte de las PYMETs, así como destaca la tendencia hacia las tecnologías democratizadas como una solución potencial para ayudar a mejorar la adopción y el rendimiento de la tecnología.

Con unos costes iniciales de capital o de funcionamiento nulos o bajos, y poca necesidad de conocimientos técnicos, las tecnologías democratizadas tienen el potencial de superar dos de los tres retos clave que limitan la adopción y el uso con éxito de las tecnologías de distribución por parte de las PYMETs. El bloqueo clave permanece en la concienciación y la aceptación por parte de los directivos. Con estructuras organizativas informales, escasa formación técnica o de gestión y una arraigada reticencia al cambio, los directivos de las PYMETs permanecen desconocedores de las posibilidades que ofrece esta tendencia en desarrollo. Aunque este reto podría abordarse mediante la concienciación y la formación, a largo plazo es probable que surjan progresos más sustanciales del cambio generacional en la gestión de las PYMETs, con sucesores nativos digitales más propensos a explotar este desarrollo para mejorar la competitividad y el rendimiento.

Haciendo especial hincapié en el potencial y fundamental papel que la tecnología democratizada puede desempeñar a la hora de corregir el desequilibrio competitivo entre las PYMETs y sus homólogas de mayor tamaño en el espacio de la distribución, este punto de vista sirve de llamada a la acción para que las empresas turísticas reexaminen su enfoque de la adopción de tecnología y aprovechen las tecnologías democratizadas para subsanar las deficiencias actuales en su enfoque de la distribución, ayudando a mejorar la competitividad y el rendimiento, apoyando así la iniciativa Horizonte 2050 y fomentando los Objetivos de Desarrollo Sostenible de la ONU.

Environment, social and governance (ESG) practices and shareholder activism are making significant strides in the decision-making policies and processes for all firms. This study aims to assess the impact of ESG on the dividend payout decisions of firms in India. In addition, it also aims to determine how shareholder activism influences the impact of ESG on dividend distribution decisions.

The authors gather relevant data from 78 non-financial listed Indian firms from 2016 to 2020. This study undertakes longitudinal data analysis, with fixed effects and calculation of robust standard errors. In addition, the slope test is used to examine the effects of the interaction between ESG and shareholder activism.

It is found in the study that not only does ESG positively impact the dividends but also shareholder activism positively impacts the dividend distribution decisions. Surprisingly, the authors see a significant but negative interaction impact of shareholder activism on the positive association of ESG with dividend distribution decisions. In other words, ESG impacts dividend distribution decisions differently at levels of shareholder activism. When shareholder activism is low, ESG positively influences dividend distribution decisions. However, when shareholder activism is high, ESG negatively influences dividend distribution decisions.

This result has significant implications for all the stakeholders, including shareholders. A shareholder expecting a dividend could decide correctly through the current study’s findings. In cases of high shareholder activism, investors may skip picking a stock if investors expect high ESG to influence the dividend distribution decisions favourably. On the contrary, investors may choose a stock if shareholder activism is low and all else remains the same.

Literature has some evidence of the influence of shareholder activism and ESG (in silos) on the dividend distribution decisions in the firms. This study attempts to contribute by bringing forth the interaction effects of shareholder activism and ESG on dividend distribution decisions.

This study investigated the gender wage gap in Nigeria by analysing two waves of household surveys (in 2003–2004 and 2018–2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

The study applied an extension of Oaxaca–Blinder decomposition that relies on the re-centred influence function (RIF) regressions to analyse the gender wage gap at all points along the wage distribution.

The results unambiguously show that there is a significant gender wage gap in Nigeria at all points along the wage distribution, such that for the two surveys used and after nearly two decades, men still earn more than women. That is, the log wage difference between males and females is statistically significant at all points between the 10th and the 90th quantiles. In 2003–2004 period, the authors found that most of the wage difference was significantly accounted for by the wage structure effect, whilst the composition effect was negative and only significant at the bottom of the wage distribution. Since the 2018–2019 period, the authors found that there has been a visible change such that most of the gender wage gap is now accounted for by the composition effect at all points along the wage distribution. Another interesting finding is that there has been a general decline in the gender wage gap along the entire wage distribution, such that inequality was higher in 2003–2004 than in 2018–2019. This decline is bigger at the top than at the bottom of the wage distribution. The authors also found that, contrary to some of the studies on the wage gap, the raw gaps for the two surveys appear to show inverted U-shape, but the gap has fallen quickly since the 2018–2019 period. Thus, the authors found strong evidence of a “sticky floor” compared to a “glass ceiling” effect in both periods, and this becomes more pronounced over time. In terms of the contributions of individual covariates on gender pay gap in Nigeria, the authors found that urban residence, unionisation, education and occupation variables exhibit major influence. However, the effects of covariates on the composition and wage structure components of the wage gap have changed over time.

The major policy implication of these findings is that to address the gender wage gap in Nigeria, policy should focus more on how labour is rewarded and improving human capital for women.

This study is a novel paper in Nigeria that has investigated the gender wage gap in Nigeria by extending the focus of literature in three ways. First, the authors applied an extension of Oaxaca–Blinder decomposition that relies on the RIF regressions to analyse the gender wage gap at all points along the wage distribution. Second, the authors used sample selection bias to account for the non-randomness of participation in wage employment. And third, the authors applied similar analysis to two waves of household surveys (in 2003/2004 and 2018/2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

The purpose of this study is to examine the corruption prevalent in the distribution of COVID-19 palliatives during the lockdown and movement restrictions in the country. This study seeks to analyse the current state of corruption in the distribution of COVID-19 palliatives and public health facilities in Nigeria while also providing a legal insight and strategic blueprint to combat corruption. To this end, this study will address the current legal framework for combating corruption and build upon this to formulate a working strategy for tackling corruption in the future.

Using a doctrinal legal research methodology, this study draws upon existing literature, tertiary data sources and information from the Nigeria Centre for Disease Control. The collected data is analysed and compared with current literature to identify key findings. Rent-seeking and utilitarian theories of the law were examined to guide this study. This study offers useful insights into combating corruption. The use of this method is justified, as it enhances the credibility of the findings on the importance of strategies for future emergencies. This legal research approach is consistent with the law and can be easily verified. The empirical aspect of this study involved a survey of multidimensional health-care and economic data set of 36 states in Nigeria plus the Federal Capital Territory on COVID-19 in Nigeria. A survey linearised regression model was estimated to determine the influence of government revenue and public health-care facilities in the control of the virus spread in Nigeria.

This study reveals the need for emphasis on the imperative of combating corruption in the distribution of COVID-19 palliatives and establishing economic resilience through transparent and accountable practices, supported by legal frameworks.

Rent-seeking and utilitarian theories of law are evaluated because of their impacts on combating corruption. The limitation of this study is the intricacy of gathering data on COVID-19 palliatives corruption in Nigeria because of secrecy and the absence of reliable data on the subject.

Estimating the exact number of stolen palliatives and their fiscal impact on Nigeria's economy proves to be a formidable task because of the covert nature of corruption. This study equips policymakers in Nigeria with a better understanding of the legal challenges posed by corruption in the health care sector and provides an effective strategy to combat it.

The lack of reliable data on the extent of palliative theft hinders the ability of lawmakers to enact effective legislation and strategies for combating corruption in the distribution of COVID-19 palliatives and addressing future emergencies in Nigeria. The policy implications of this study can assist policymakers in Nigeria and other countries in formulating measures to combat corruption in the distribution of COVID-19 palliatives and other future emergencies. Furthermore, it recommends the overhaul of anti-corruption laws and mechanisms in Nigeria to ensure effective measures against corruption.

In conclusion, this study contributes to knowledge by proposing a legal model centred on people's participation to enhance transparency and accountability in future palliative distribution processes. This study recommends legal strategies that can effectively address corruption in future emergencies or shocks. This study proposes a strategic blueprint to tackle corruption in the future. This blueprint includes an analysis of existing laws and regulations, as well as potential policy changes and legislative reform. This study also includes recommendations for improved enforcement and oversight mechanisms and for improved public awareness and education. As part of this, this study considers the potential for public–private partnerships to increase transparency and accountability in public health and health-care services.

Financial asset return series usually exhibit nonnormal characteristics such as high peaks, heavy tails and asymmetry. Traditional risk measures like standard deviation or variance are inadequate for nonnormal distributions. Value at Risk (VaR) is consistent with people's psychological perception of risk. The asymmetric Laplace distribution (ALD) captures the heavy-tailed and biased features of the distribution. VaR is therefore used as a risk measure to explore the problem of VaR-based asset pricing. Assuming returns obey ALD, the study explores the impact of high peaks, heavy tails and asymmetric features of financial asset return data on asset pricing.

A VaR-based capital asset pricing model (CAPM) was constructed under the ALD that follows the logic of the classical CAPM and derive the corresponding VaR-β coefficients under ALD.

ALD-based VaR exhibits a minor tail risk than VaR under normal distribution as the mean increases. The theoretical derivation yields a more complex capital asset pricing formula involving β coefficients compared to the traditional CAPM.The empirical analysis shows that the CAPM under ALD can reflect the β-return relationship, and the results are robust. Finally, comparing the two CAPMs reveals that the β coefficients derived in this paper are smaller than those in the traditional CAPM in 69–80% of cases.

The paper uses VaR as a risk measure for financial time series data following ALD to explore asset pricing problems. The findings complement existing literature on the effects of high peaks, heavy tails and asymmetry on asset pricing, providing valuable insights for investors, policymakers and regulators.

This paper aims to examine the determinants of the dividend distribution policy in a banking setting.

Using a sample of 48 Islamic banks and 94 conventional banks from 15 Islamic countries over a period spanning from 2012 to 2019, we document the effect of board gender diversity, executive director profile and governance mechanisms on dividend payment decisions. We also analyze the moderating effect of Islamic banks on the relationship between gender diversity and dividend policy.

We find new evidence on the role of women directors in determining dividend distribution policy and confirm the risk aversion hypothesis, hence contributing to the ongoing debate on gender diversity literature. Our results show that the moderating role of Islamic banks is effective only for small banks.

Our findings have practical implications for shareholders, managers and financial analysts as they suggest rationalizing dividend distribution strategies.

Our study contributes to the growing body of knowledge on dividend policy, gender diversity and Islamic banks.

Brazil’s regional inequality is an important topic due to the large and persistent differences in development between states and the high levels of inequality in the country. These variations in development can potentially render survey data inaccurate since the significance of capital income varies across the states. Besides, previous studies incorporating tax and national accounts data globally have mainly focused on measuring the income distribution at the country-level. This approach can limit the understanding of inequality, especially when considering large countries such as Brazil.

The methodology used to construct these estimates follows the guidelines of the Distributional National Accounts, whose core goal is to provide income distribution measures consistent with macroeconomic aggregates and harmonized across countries and time. The procedure has three main steps: first, it corrects the survey’s underrepresentation of top incomes using tax data. Then, it accounts for national income items not included in the survey or tax data, such as imputed rents and undistributed profits. Finally, it ensures that all components match the national income.

Compared to survey-based estimations, the results reveal a new angle on the state-level inequality. This study indicates that Amazonas, Rio de Janeiro and São Paulo have a more concentrated income distribution. The top 1\% of earners in these states receives around 28\% of total pre-tax income, while the top 10\% receive nearly 60\%. On the other end, Amapá (AP), Acre (AC), Rondônia (RO) and Santa Catarina (SC) are the states where the income distribution is less concentrated. There were no significant changes in the income distribution across the states during the period analyzed.

This study combines survey, tax and national accounts data to construct new estimates of Brazil’s state-level income distribution from 2006 to 2019. Previous results only considered income captured in surveys, which usually misses a significant part of capital incomes. This limitation may bias comparisons as capital income has different importance across the states. The new estimates represent the income of top groups more accurately, account for the entire national income and enable to compare regional inequality levels consistently with other countries.

This paper aims to introduce a heteroskedastic hidden truncation normal (HTN) model that allows for conditional volatilities, skewness and kurtosis, which evolve over time and are linked to economic dynamics and have economic interpretations.

The model consists of the HTN distribution introduced by Arnold et al. (1993) coupled with the NGARCH type (Engle and Ng, 1993). The HTN distribution nests two well-known distributions: the skew-normal family (Azzalini, 1985) and the normal distributions. The HTN family of distributions depends on a hidden truncation and has four parameters having economic interpretations in terms of conditional volatilities, kurtosis and correlations between the observed variable and the hidden truncated variable.

The model parameters are estimated using the maximum likelihood estimator. An empirical application to market data indicates the HTN-NGARCH model captures stylized facts manifested in financial market data, specifically volatility clustering, leverage effect, conditional skewness and kurtosis. The authors also compare the performance of the HTN-NGARCH model to the mixed normal (MN) heteroskedastic MN-NGARCH model.

The paper presents a structure dynamic, allowing us to explore the volatility spillover between the observed and the hidden truncated variable. The conditional volatilities and skewness have the ability at modeling persistence in volatilities and the leverage effects as well as conditional kurtosis of the S&P 500 index.