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Introduction: The effect of environmental regulations or green policies on the financial health of businesses is still up for debate. The Prime Minister of India presented a bold plan to achieve net-zero emissions by 2070 at the COP26 climate summit in Glasgow (UK). Following this announcement, numerous Indian companies voluntarily committed to becoming carbon neutral to support the ambitious emission reduction targets. A growing body of research examines the link between environmental standards compliance and businesses’ sustainability measures, and how they affect their overall performance (profitability, stock returns, or output generation).

Purpose: The research assesses the effect of these voluntary announcements on the stock performance of Indian companies in the context of voluntary commitments to reduce carbon emissions.

Methodology: Concentrating on the announcement impact of carbon neutrality commitments/carbon emissions reductions of 52 Indian companies, the study considers carbon neutrality pledges/carbon emissions reduction from 2018 to 2022. The sample companies list was taken from various indices on the National Stock Exchange. A standard event study methodology is applied to compute abnormal returns during the event window of (−10, 10).

Findings: The results show that companies announcing the carbon neutrality pledges/carbon emissions reduction received significantly negative abnormal returns of 0.49% on announcement day. The cumulative average abnormal returns for different windows are also negative. It signifies that investors don’t value the environmentally sustainable actions of firms. It may also be because of investors’ ignorance of carbon neutrality pledges and their importance, highlighting the need to educate investors about the significance of corporate sustainability initiatives.

Fractional Fokker-Planck equation (FFPE) and time fractional coupled Boussinesq-Burger equations (TFCBBEs) play important roles in the fields of solute transport, fluid dynamics, respectively. Although there are many methods for solving the approximate solution, simple and effective methods are more preferred. This paper aims to utilize Laplace Adomian decomposition method (LADM) to construct approximate solutions for these two types of equations and gives some examples of numerical calculations, which can prove the validity of LADM by comparing the error between the calculated results and the exact solution.

This paper analyzes and investigates the time-space fractional partial differential equations based on the LADM method in the sense of Caputo fractional derivative, which is a combination of the Laplace transform and the Adomian decomposition method. LADM method was first proposed by Khuri in 2001. Many partial differential equations which can describe the physical phenomena are solved by applying LADM and it has been used extensively to solve approximate solutions of partial differential and fractional partial differential equations.

This paper obtained an approximate solution to the FFPE and TFCBBEs by using the LADM. A number of numerical examples and graphs are used to compare the errors between the results and the exact solutions. The results show that LADM is a simple and effective mathematical technique to construct the approximate solutions of nonlinear time-space fractional equations in this work.

This paper verifies the effectiveness of this method by using the LADM to solve the FFPE and TFCBBEs. In addition, these two equations are very meaningful, and this paper will be helpful in the study of atmospheric diffusion, shallow water waves and other areas. And this paper also generalizes the drift and diffusion terms of the FFPE equation to the general form, which provides a great convenience for our future studies.

Loading the work on social capital theory, we have tried to check the influence of social currency (SC) on social media usage (SMU) and its subsequent impact on the brand experience (BE). The study attempted to ascertain the mediation of loyalty (LT) between the SC and SMU as well as the moderation of perceived ease of use (PEU) in the SMU and BE relationship.

The data were collected from 384 respondents employing snowball sampling technique by administering a questionnaire on seven-point Likert scale. The respondents were the active internet users, who devote the significant part of their daily routine to social media activities. Structural equation modelling was used to study the path of the considered variables.

The result of the study strengthened the findings of earlier studies on SC dimensions. This study elaborated about the positive impact of SC on SMU, SC on LT, LT on SMU, SMU on BE. The study also found the mediating effect of LT in the SC and BE relationship. The study did not identify a moderating role of PEU in the SMU and BE relationship.

By taking into account SC, SMU, LT, PEU and BE, the study adds the knowledge to the social capital theory.

This study aids marketers in adjusting social media strategies for the effective use of SC aimed to deliver enhanced BE. Additionally, it demonstrates the value of customer LT in the context of SC and SMU by customers.

This study is among the few research on the SC of the Indian user and its impact on SMU and BE. Checking the mediation of LT and the moderation of PEU in the SC context makes this study novel and different from any study conducted earlier.

The purpose of this paper is to understand the determinants affecting the adoption behavior of eCourier services and to establish a moderating role of resistance to change between behavioral intention and actual usage behavior.

Data were collected through a survey questionnaire that was distributed to the eCourier users. A total of 260 collected data were analyzed by using structural equation modeling.

The results of the study demonstrate that all the factors considered for the study have a significant impact on the adoption of eCourier except social influence and customer service. The results also confirm that there is no moderating effect of resistance to change in the relationship between behavioral intention and actual usage.

This research provides theoretical contribution by extending the practical knowledge focusing on the adoption intention of eCourier, and actual usage behavior using Unified Theory of Acceptance and Use of Technology model—a pertinent and unresearched topic in the existing literature that presents a number of potential avenues for further study.

This study provides a general understanding of consumers in underdeveloped nations and advances earlier research on the usage of e-commerce in the courier sector.

In the Global North, affordable housing has evolved and thrived, and it is now gaining traction in the Global South, where governments have been vocal supporters of the concept. Therefore, this paper aims to investigate the important criteria for selecting affordable housing units in Ghana.

A quantitative research approach was used, and a survey was administered to the residents. The data was analysed using both descriptive and inferential statistics. The relative importance index technique was used to rank the important criteria, and the EFA technique was used to create a taxonomy system for the criteria.

The hierarchical ranking of the most significant criteria for selecting affordable housing includes community safety, waste management and access to good-quality education. Furthermore, the important criteria for selecting affordable housing are classified into two groups, namely, “sustainability criteria” and “housing demand and supply and social service provision”.

This study has implications for the real estate industry and construction stakeholders, as this will inform decision-making in terms of the design of affordable housing and the suitability of the location for the development.

These findings provide a baseline to support potential homeowners and tenants in their quest to select affordable housing. Furthermore, these findings will aid future longitudinal research into the indicators or criteria for selecting suitable locations for the development of low- and middle-income housing.

Given epidemiological data highlighting poor health outcomes for prison staff and correctional workers, this systematic review aims to understand what health promotion interventions, delivered in prison settings, are effective for prison staff health.

A systematic review was undertaken, with search parameters encompassing papers published over a ten-year period (2013–2023). Health promotion programmes; well-being programmes; and occupational health interventions to support prison staff health as part of a targeted approach or as part of a whole-prison approach were included in the review.

The review identified 354 studies, of which 157 were duplicates and 187 did not meet the inclusion criteria. This left ten studies in the review from five countries. Reducing the impact of tobacco smoke was the commonly cited intervention, with four studies focusing on smoke-free prison legislation, but other studies focused on stress reduction for staff and supporting holistic health. The papers were of poor methodological quality, with the exception of three included studies that had robust designs. Most studies showed limited or no impact of interventions to support prison staff health, the exception being policy interventions to reduce second-hand smoke exposure.

Prison staff have poor health outcomes and yet limited attention has been paid to interventions to support their health. This review suggests a number of considerations for future policy and practice and direction for further research to improve prison staff health.

Food service establishments and online food delivery companies use a revenue share model based on a commission rate. Because of the asymmetry of bargaining power, many food service establishments are vulnerable to a high commission rate. What is missing in the ongoing discussion about the revenue share model is the perspective of food consumers, who are the third party in the multi-sided market.

Within a willingness-to-pay (WTP) framework, we study if food consumers have preferences for the commission rate charged by food delivery companies to food service establishments. With 456 random consumers in the United States, we conduct a controlled experiment in which information is used as treatment in two groups. In the first group, the provided information only relates to the revenue share model (i.e. economic). In the second group, participants also received information about price control initiatives (i.e. economic and political).

Based on WTP-space mixed logit model results, there is a significant effect of information on preferences for the commission rate. While participants in the control group exhibited no aversion to the commission rate, participants who received treatment had a significant and negative WTP. The magnitude of the effect is estimated at -$1.08 for participants in the first treatment and -$2.28 for participants in the second treatment.

To date there is no applied research on the preferences of consumers in the online food order and delivery industry with respect to upstream conditions (i.e. commission rates).

Most UK ambulance services undertake remote assessments of 999 calls with nurses and paramedics to manage demand and reduce inappropriate hospital admissions. However, little is known about the differences in the types of cases managed by the two professions comparatively, their clinical outcomes, and the quality and safety they offer.

The retrospective descriptive study analysed data collected at Welsh Ambulance Services University NHS Trust (WAST) from prioritisation, triage, and audit tools between the 17th May 2022 to 8th November 2022. A total of 21,076 cases and 728 audits were included for review.

There was little difference in the type and frequency of the presenting complaints assessed, and clinical outcomes reached in percentage terms. Whilst paramedics had more highly compliant call audits and fewer non-compliant call audits, there was, again, little difference in percentage terms between the two, indicating positive levels of safety across the two professional groups.

There continues to be a substantial difference between UK paramedics to those in the Middle East, the United States, and some African nations, which may limit the applicability of findings. This study also looked at a six-month window from only one UK service using one type of prioritisation and triage tool. Future research could explore longer periods from multiple services using various tools. It is important to note that this study did not link outcome data with primary, secondary or tertiary care settings. Thus, it is impossible to determine if the level of care aligned closely with the final diagnosis.

The practical implications of this work include better workforce planning for agencies who have perhaps only employed one type of clinician or a reaffirmation to those who have employed both. The authors suggest that the training and education of both sets of clinicians could remain general in nature, with no overt requirement for specificity based on professional registration alone. Commissioners and stakeholders in the wider health economy should consider ensuring equitable access to alternative pathways for patients assessed by both nurses and paramedics.

It has been posited that UK nurses and paramedics are, by virtue of their consistency in education, skill set, licensure, and general experience, both able to achieve safe and effective remote outcomes in 999 settings. This study provides evidence to support that hypothesis. These results say more about the two professions' ability to work together rather than just the professions themselves. The multidisciplinary team approach is well-established in acute care settings, and is broadly considered to improve communication, coordination decision making, adherence to up-to-date treatment recommendations, and be positive for shared learning and development for younger colleagues.

Most UK services use a mix of nurses and paramedics; however, little is known about the differences in the types of cases managed by the two professions comparatively, their clinical outcomes, and the quality and safety they each offer. The most recent studies of this nature were published in 2003 and 2004 and looked only at low-acuity 999 calls when remote assessment was not even an established role for UK paramedics. This study updates the literature, identifies areas for future research, and applies to the international setting for the most part.

The study examines the effect of natural resources (NRs) and the control of corruption, voice and accountability and regulatory quality on carbon emissions in Africa. Aside from their individual effects, the moderation effect of institutional quality is assessed.

Data from 32 African countries from 2002 to 2021 and the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) regression methods were used for the investigation.

In the long term, the NRs effect is sensitive to the estimation technique employed. However, quality regulatory framework, robust corruption control and voice and accountability abate any positive effect of NRs on carbon emissions. Institutional quality can be argued to moderate the CO2-emitting potentials of resource extraction in the selected African countries.

Enhancing regulation quality, enforcing corruption control and empowering citizens towards greater participation in governance and demanding accountability are essential catalyst to effectively mitigate CO2 emissions resulting from NRs.

The moderation effect of control of corruption, voice and accountability and regulatory quality on the NR–carbon emission nexus is examined.

The study aims to assess the effectiveness of prevailing methods for quantifying physical climate risks. Its goal is to evaluate their utility in guiding financial decision-making within the real estate industry. Whilst climate risk has become a pivotal consideration in transaction and regulatory compliance, the existing tools for risk quantification frequently encounter criticism for their perceived lack of transparency and comparability.

We utilise a sequential exploratory mixed-methods analysis to integrate qualitative aspects of underlying tool characteristics with quantitative result divergence. In our qualitative analysis, we conduct interviews with companies providing risk quantification tools. We task these providers with quantifying the physical risk of a fictive pan-European real estate portfolio. Our approach involves an in-depth comparative analysis, hypothesis tests and regression to discern patterns in the variability of the results.

We observe significant variations in the quantification of physical risk for the pan-European portfolio, indicating limited utility for decision-making. The results highlight that variability is influenced by both the location of assets and the hazard. Identified reasons for discrepancies include differences in regional databases and models, variations in downscaling and corresponding scope, disparities in the definition of scores and systematic uncertainties.

The study assists market participants in comprehending both the quantification process and the implications associated with using tools for financial decision-making.

To our knowledge, this study presents the initial robust empirical evidence of variability in quantification outputs for physical risk within the real estate industry, coupled with an exploration of their underlying reasons.