Search results

This study examines the carbon emissions of Australia’s agriculture, forestry and fishing sectors from a consumption perspective to develop effective policy frameworks. The objective is to identify key supply chains, industries and products contributing to these emissions and provide recommendations for sustainable development.

A multiregional input-output lifecycle assessment was conducted using the Australian Industrial Ecology Virtual Laboratory (IELab) platform to disaggregate sectors and enable benchmarking against other economic sectors.

In 2018, the “agriculture, forestry, and fishing” sector was responsible for 12.15% of Australia’s carbon footprint. Major contributors included the “electricity, gas, water, and waste” category (26.1%) and the sector’s activities (24.3%). The “transport, postal, and warehousing” sector also contributed 18.4%. Within the industry, the agriculture subsector had the highest impact (71.3%), followed by forestry and logging (15%) and fishing, hunting and trapping (7.6%). Aquaculture and supporting services contributed 6.1%.

The principal constraint encountered by the present study pertained to the availability of up-to-date data. The latest accessible data for quantifying the carbon footprint within Australia’s agriculture, forestry and fishing sector, utilizing the Input-Output analysis methodology through the Australian Industrial Ecology Virtual Laboratory (IELab) platform, about 2018.

The findings of this study provide policymakers with detailed insights into the carbon footprints of key sectors, highlighting the contributions from each subsector. This information can be directly used to develop effective emission-reduction policies, with a focus on reducing emissions in utility services, transport and warehousing.

The study, by raising public awareness of the significant role of industrial agricultural methods in Australia’s carbon footprint and emphasizing the importance of renewable energy and sustainable fuels for electricity generation and road transport, underscores the urgent need for action to mitigate climate change.

This study stands out by not only identifying the most impactful industries but also by providing specific strategies to reduce their emissions. It offers a comprehensive breakdown of specific agricultural activities and outlines mitigation strategies for utility services, agricultural operations and transport, thereby adding a unique perspective to the existing knowledge.

This study aims to investigate the relationship between corporate governance characteristics and the financial performance of both Islamic and conventional banks in the context of an emerging market, i.e. Malaysia.

This study includes 300 bank-year observations from Islamic and conventional banks over the period 2010–2021. The dynamic panel model (generalized method of moments [GMM]) was considered the primary estimation model that solves simultaneity, endogeneity and omitted variable problems as most governance variables are endogenous by nature. Hence, static models are considered biased after conducting the DWH test of endogeneity, and considering dynamic panel GMM is valid proven by Sargan and Hensen and first-order (ARI) and second-order (ARII) tests.

Based on the regression results, the authors discovered that board size, female participation in the board and director remuneration have a significant positive impact on bank performance, whereas board meetings have a significant negative impact. Furthermore, the board governance structure of commercial banks is found to be more passive than that of Islamic banks.

The study’s findings added a new dimension to governance research, which could be a valuable source of knowledge for policymakers, investors and regulators looking to improve existing governance mechanisms for better performance of conventional and Islamic banks.

The goal of this study is to add to the existing literature by focusing on the impact of female board participation and other board governance mechanisms in both conventional and Islamic banks on bank performance.

The optimization of product innovation performance (PIP) is paramount to achieving sustained profitability in the face of current organizational challenges. In this study, as researchers, the authors investigate within the context of Saudi Arabian manufacturing firms’ entrepreneurial orientation (EO) direct impact on PIP and its indirect influence mediated by strategic human resource management (SHRM) and technology capability (TC).

This co-relational study used cross-sectional data. The authors collected the data from the manufacturing firms’ top management team, chief executive officers and other staff members, including human resource (HR) managers and chief information officers. This study’s conclusions are based on 307 cases.

Using SmartPLS4, this study’s findings demonstrate that EO exerts a positive and significant impact on SHRM, PIP and TC. SHRM has a positive and significant effect on PIP. In addition, TC is a positive and significant predictor of SHRM but not PIP. Turning to the mediating impacts, SHRM plays a positive mediating role between TC and PIP and a negative role between EO and PIP. Finally, TC reinforces the negative connections between EO and PIP.

This study's insights offer valuable guidance to firms and policymakers. They underscore the importance of investing in TC to reinforce SHRM and drive innovation. Moreover, these findings emphasize the need for firms to adopt a dynamic approach that comprises continuous monitoring, adaptation and tailored HR strategies supported by performance metrics. This proactive stance ensures that innovation remains a consistent and impactful element of their long-term strategy.

This study stands out by addressing existing gaps through its innovative integration of EO, SHRM, TC and PIP within a unified framework. It does so within the specific context of Saudi Arabian manufacturing firms and provides a unique and contextually relevant perspective that contributes to the knowledge body of the area.