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The rise in demand and high utilization of fuel causes severe environmental threat for the nations on the globe. Rapid burning potential of hydrogen produces enormous amount of thrust, and it is mainly owing to wide flame range and less onset of ignition.

The significant contribution of hydrogen as fuel has been explored by several researchers around the globe recently to use in aviation sector owing to its eco-friendly nature. Hydrogen is a safe and clean fuel, and it can be generated from several sources. The effects of addition on hydrogen on gas turbine on combustion characteristics and emission concentration level on atmosphere have been reviewed in this paper.

Incorporation of hydrogen is effective reducing nitrous oxide emission, high calorific value and flame less combustion. Addition of hydrogen to higher proportions enhances the combustion performance, minimizing the setbacks of conventional fuel and meets the specified standards on emission.

From the literature review, the comparative study on hydrogen with other fuel is explained. This paper concludes that addition of hydrogen in fuel enhances the performance of combustion on gas turbine engine along with significant reduction in emission levels.

This article investigated whether the executives' compensation and corporate governance attributes are aligned with stakeholders' demands for higher corporate voluntary disclosures. Moreover, the study also examined the moderating role of the auditor's reputation in the direction of association among executive compensation, corporate governance attributes, and voluntary disclosures.

The study used a sample of S&P BSE index constituents' 90 Indian firms for 2017–2019. The voluntary disclosure scores were fetched from the India Disclosure Index Report published by FTI Consulting. This analysis was carried out in two parts by applying four panel-data regression models in the agency and signalling theories framework. First, the study examined the association between executive compensation, board strength, composition, gender diversity, and voluntary disclosures. Second, the article investigated the moderating role of the “Big 4” in the direction of association among executive compensation, corporate governance attributes, and voluntary disclosures.

The willingness of executives to share private information with stakeholders depends on the compensation they receive from their employer. The higher compensation paid to executives leads to a higher “tone from the top,” which is better aligned with stakeholder interests. Further, the research also found that bigger board sizes, a higher proportion of independent and woman directors (indicators of good governance), and an auditor's reputation are associated with increased voluntary disclosure.

The findings showed that the executives' compensation and corporate governance attributes are aligned with stakeholders' demand for higher voluntary information from firms. Moreover, the study also found that the “Big 4” play a moderating role in this direction. The choice of a reputed auditor indicates the firms' long-term positive future perspectives, which strengthens investor confidence in the financial market.

The study suggests that fair executive compensation can address the agency problem.

This research furnishes managers and different stakeholders with significant implications of executives' compensation, corporate governance, and auditor's reputation in the best interests of a firm through reducing potential risks of information asymmetry.

The purpose of this paper is to study the thermal and mechanical disturbances in a piezo-electric microstretch thermoelastic medium due to the presence of ultra-short laser pulse as input heat source.

The medium is subjected to normal force, tangential force and thermal source. The solution of the problems is developed in terms of normal modes. Mathematical expressions have been obtained for normal stress, tangential stress, microstress, dielectric displacement vector and temperature change.

The numerically computed results are shown graphically. The effect of time and laser radius on temperature distribution is also shown graphically and comparison to theoretical results has been discussed. A mathematical model has been developed for the system of equations and various stress quantities have been analyzed. Some computer programs have also been written for this study. Two particular cases are also derived from the present investigation.

The effect of laser heat source is studied in piezo-electric microstretch thermoelastic medium. It is observed from the figures that the laser heat source has significant role on the values of coupled tangential stress.

The purpose of this paper is to analyze the relationship between Certified Emission Reductions (CERs) information and a firm’s stock prices.

The present study is based on 193 CERs announcements by Indian firms over a 13-year period 2005–2017. The event study methodology is used to examine the impact of CERs announcements on a firm’s share prices.

The study suggests that the issuance of CERs did not produce any significant abnormal return. More specifically, the outcomes of event study shows that over a two-day event window from the event day to the day after the event (i.e. days 0 to 1), the mean and median of AARs are −0.25 and −0.34 percent, respectively. The abnormal returns on day 1 are not statistically significant as per the t-test. Moreover, the mean and median of abnormal returns after one day (−1) are negative, indicating that investors react negatively to CERs announcements. However, the mean and median of CAARs over both the two-day (i.e. days −1 to 0 and days 0 to +1) and three-day (i.e. days −1 to +1) event windows are positive, but not statistically significant based on the t-test.

The findings of the study are quite comprehensive, relatively used only market-based criteria of a firm’s financial performance, e.g., share price, at times, inhibits generalizing the results.

To the best of the author’s knowledge, the present study is a first of its kind to investigate the relationship between the CERs information and a firm’s stock prices.

The purpose of this study is to investigate the influence of IFRS convergence on annual report readability in an emerging market context, with an emphasis on the contents of management discussion and analysis (MD&A), notes to the accounts (Notes) and the whole annual report.

The study performs firm-fixed effect regression on a sample of 143 Indian listed companies over a period spanning from 2012 to 2021 to examine the influence of IFRS convergence on readability. This assessment primarily focuses on broader spectrums of readability dimensions, namely annual report length and complexity, wherein complexity is measured using the Gunning Fog, Flesch Reading ease and Flesch-Kincaid grade index.

As Indian firms shift to IFRS reporting, the findings suggest that annual reports have become significantly lengthier and more complex, causing deterioration in readability. The Notes section, in particular, exhibits the most significant increase in length and complexity, followed by the entire annual report and MD&A section. Furthermore, the findings also indicate that the complexity of the Notes section is instrumental in the observed complexity growth of the whole annual report in the post-IFRS period.

The current study employs readability indices rather than directly taking into consideration the opinions of actual users of annual reports to determine readability. As a result, the study does not provide direct evidence on how information in annual reports affects users' readability.

The findings provide insightful information to managers and policymakers about the difficulties stakeholders may encounter while reading IFRS-based annual reports, which ultimately impact their investment decisions. Thus, there is an important managerial implication from this, depending upon the severity of complexity corporations participate in while complying with IFRS in the post-IFRS period.

Analyzing the influence of exogenous information shock, such as IFRS convergence, on readability is critical, particularly for emerging markets like India, where a lack of financial literacy and weaker enforcement already have detrimental effects on the capital market. In light of this, the current study provides a comprehensive examination of the impact of IFRS convergence on annual report readability and contributes to the growing IFRS literature in the less explored emerging market context.

Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate change factors and financial variables on rice production in India from 1970–2021.

This study is based on the time series analysis; the unit root test has been employed to unveil the integration order. Further, the study used various econometric techniques, including vector autoregression estimates (VAR), cointegration test, autoregressive distributed lag (ARDL) model and diagnostic test for ARDL, fully modified least squares (FMOLS), canonical cointegrating regression (CCR), impulse response functions (IRF) and the variance decomposition method (VDM) to validate the long- and short-term impacts of climate change on rice production in India of the scrutinized variables.

The study's findings revealed that the rice area, precipitation and maximum temperature have a significant and positive impact on rice production in the short run. In the long run, rice area (ß = 1.162), pesticide consumption (ß = 0.089) and domestic credit to private sector (ß = 0.068) have a positive and significant impact on rice production. The results show that minimum temperature and direct institutional credit for agriculture have a significant but negative impact on rice production in the short run. Minimum temperature, pesticide consumption, domestic credit to the private sector and direct institutional credit for agriculture have a negative and significant impact on rice production in the long run.

The present study makes valuable and original contributions to the literature by examining the short- and long-term impacts of climate change on rice production in India over 1970–2021. To the best of the authors’ knowledge, The majority of the studies examined the impact of climate change on rice production with the consideration of only “mean temperature” as one of the climatic variables, while in the present study, the authors have considered both minimum as well as maximum temperature. Furthermore, the authors also considered the financial variables in the model.

The purpose of this paper is to study the comparative analysis between three hybrid nanofluids flow past a permeable stretching surface in a porous medium with thermal radiation. Uniform magnetic field is applied together with heat source and sink. Three set of different hybrid nanofluids with water as a base fluid having suspension of Copper-Aluminum Oxide (Cu−Al2O3), Silver-Aluminum Oxide (Ag−Al2O3) and Copper-Silver (Cu−Ag) nanoparticles are considered. The Marangoni boundary condition is applied.

The governing model of the flow is solved by Runga–Kutta fourth-order method with shooting technique, using appropriate similarity transformations. Temperature and velocity field are explained by the figures for many flow pertinent parameters.

Almost same behavior is observed for all the parameters presented in this analysis for the three set of hybrid nanofluids. For increased mass transfer wall parameter ( fw) and Prandtl Number (Pr), heat transfer rate cuts down for all three sets of hybrid nanofluids, and reverse effect is seen for radiation parameter (R), and heat source/sink parameter ( δ).

The thermal conductivity of hybrid nanofluids is much larger than the conventional fluids; thus, heat transfer efficiency can be improved with these fluids and its implications can be seen in the fields of biomedical, microelectronics, thin-film stretching, lubrication, refrigeration, etc.

The current analysis is to optimize heat transfer of three different radiative hybrid nanofluids ( Cu−Al2O3/H2O, Ag−Al2O3/H2O and Cu−Ag/H2O) over stretching surface after applying heat source/sink with Marangoni convection. To the best of the authors’ knowledge, this work is new and never published before.

This paper aims to explore the factors for self-help groups (SHGs) women empowerment in the state of Uttar Pradesh using the primary data.

The primary data have been collected by a household survey in the four districts of Uttar Pradesh. Factor analysis is used to estimate the odd of improving women empowerment after participating in SHG.

Factor analysis extracted four factors which were economic development, improvement in family matters, decision to use public amenities and political empowerment. Also, analysis of variance and t-test was used employing SPSS. The results, therefore, show that education has a significant impact on all the aspects of SHGs people.

The findings of the study can help policymakers to adopt appropriate policies that integrate empowerment in development projects with women.

The results of this research could encourage more women to participate in SHG activities and development projects.

This research provides the most updated data from a primary survey in the state of Uttar Pradesh.

To generate electricity, solar photovoltaic (PV) systems are among the best, most eco-friendly and most cost-effective solutions available. Extraction of maximum possible electricity from the solar PV system is complicated by a number of factors brought on by the ever-changing weather conditions under which it must operate. Many conventional and evolutionary algorithm-based maximum power point tracking (MPPT) techniques have the limitation of not being able to extract maximum power under partial shade and rapidly varying irradiance. Hence, the purpose of this paper is to propose a novel hybrid slime mould assisted with perturb and observe (P&O) global MPPT technique (HSMO) for the hybrid bridge link-honey comb (BL-HC) configured PV system to enhance the better maximum power during dynamic and steady state operations within less time.

In this method, a hybridization of two algorithms is proposed to track the true with faster convergence under PSCs. Initially, the slime mould optimization (SMO) algorithm is initiated for exploration of optimum duty cycles and later P&O algorithm is initiated for exploitation of global duty cycle for the DC–DC converter to operate at GMPP and for fast convergence.

The effectiveness of the proposed HSMO MPPT is compared with adaptive coefficient particle swarm optimization (ACPSO), flower pollination algorithm and SMO MPPT techniques in terms of tracked GMPP, convergence time/tracking speed and efficacy under six complex partial shading conditions. From the results, it is noticed that the proposed algorithm tracks the true GMPP under most of the shading conditions with less tracking time when compared to other MPPT techniques.

This paper proposes a novel hybrid slime mould assisted with perturb and observe (P&O) global MPPT technique (HSMO) for the hybrid BL-HC configured PV system enhance the better maximum power under partial shading conditions (PSCs). This method operated in two stages as SMO for exploration and P&O for exploitation for faster convergence and to track true GMPP under PSCs. The proposed approach largely improves the performance of the MPP tracking of the PV systems. Initially, the proposed MPPT technique is simulated in MATLAB/Simulink environment. Furthermore, an experimental setup has been designed and implemented. Simulation results obtained are validated through experimental results which prove the viability of the proposed technique for an efficient green energy solution.

The purpose of this paper is to analyze the relationship between carbon emissions and a firm’s cost of debt (COD) in the Indian context.

The present study is based on the Indian firms who disclose their emissions data under the Carbon Disclosure Project (CDP) during the period 2011 to 2014. The selection model is being used to remove the problem of endogeneity and sample selection bias. Further, the testing model is being used to examine the impact of carbon emissions on the COD.

The present study found that the coefficient of carbon emissions is positively and significantly associated with the COD. Moreover, the outcomes of the robustness test further show that the COD will be higher for polluting firms than environmentally friendly firms in India.

The study has covered all the companies from India who are disclosing their emissions data under the CDP, London. The study will be most relevant for financial planning and capital structure design by the Indian companies. However, in designing the capital structure, the only COD is being covered in this study.

To the best of the author’s knowledge, the present study is a first of its kind to investigate the relationship between firms’ carbon emissions level and COD in the Indian context.