• Energy Research
• 12. Responsible consumption close
• 2. Zero hunger close
• 1. No poverty close
• CA close
• FR close
• Sustainability close

This study aimed to realize Sustainable Development Goals (SDGs), i.e., no poverty, zero hunger, and sustainable cities and communities through the implementation of an intelligent cattle-monitoring system to enhance dairy production. Livestock industries in developing countries lack the technology that can directly impact meat and dairy products, where human resources are a major factor. This study proposed a novel, cost-effective, smart dairy-monitoring system by implementing intelligent wireless sensor nodes, the Internet of Things (IoT), and a Node-Micro controller Unit (Node-MCU). The proposed system comprises three modules, including an intelligent environmental parameter regularization system, a cow collar (equipped with a temperature sensor, a GPS module to locate the animal, and a stethoscope to update the heart rate), and an automatic water-filling unit for drinking water. Furthermore, a novel IoT-based front end has been developed to take data from prescribed modules and maintain a separate database for further analysis. The presented Wireless Sensor Nodes (WSNs) can intelligently determine the case of any instability in environmental parameters. Moreover, the cow collar is designed to obtain precise values of the temperature, heart rate, and accurate location of the animal. Additionally, auto-notification to the concerned party is a valuable addition developed in the cow collar design. It employed a plug-and-play design to provide ease in implementation. Moreover, automation reduces human intervention, hence labor costs are decreased when a farm has hundreds of animals. The proposed system also increases the production of dairy and meat products by improving animal health via the regularization of the environment and automated food and watering. The current study represents a comprehensive comparative analysis of the proposed implementation with the existing systems that validate the novelty of this work. This implementation can be further stretched for other applications, i.e., smart monitoring of zoo animals and poultry.

Life cycle sustainability assessment (LCSA) is a still relatively new technique. One of its main application challenges is interpreting the three dimensions of its results in combined fashion. This paper presents the first attempt at an integrated solution-oriented approach in the LCSA, while simultaneously interpreting the results of the three assessments in a combined fashion toward improving the sustainability performance of product systems. It is based on a case study of high-density polyethylene (HDPE) production in Alberta, Canada. The methodology is characterized by five steps: (1) goal and scope definition; (2) inventory analysis; (3) impact assessment; (4) interpretation where the results of the three tools of LCSA are presented and an integrated analysis of the sustainability results following the strong sustainability model and using the Driver–Pressure–State–Impact–Response (DPSIR) framework, is conducted to propose sustainability improvements for the case study product; (5) discussion and conclusion. The integrated approach developed was able to propose some sustainability improvement proposals along the life cycle of HDPE. Yet, challenges exist in interpreting the interrelationships between the three assessment results. Moving from comparative integrated assessment approach in LCSA to solution-oriented approach still faces challenges. This work highlighted some of the research tasks that need more focus from the LCSA community to demonstrate how LCSA can contribute to sustainable development by improving the sustainability performance of product systems.

The manufacturing industry has undergone numerous revolutions over the years, with a unanimous acceptance of the greater benefits of being sustainable. The present industrial wave—Industry 4.0—by using its enabling technologies and principles holds great potential to develop sustainable manufacturing paradigms which require balancing out the three fundamental elements —products, processes, and systems. Yet, numerous stakeholders, including industrial policy and decision makers, remain oblivious of such potential and requirements. Thus, this bibliometric study is aimed at presenting an overview of the broad field of research on the convergence of sustainable manufacturing and Industry 4.0 under the umbrella of “Sustainable Manufacturing 4.0”, which has yet to be developed. It includes the dissemination of original findings on pathways and practices of Industry 4.0 applied to the development of sustainable manufacturing, contributing a bibliometric structure of the literature on the aforementioned convergence to reveal how Industry 4.0 could be used to shift the manufacturing sector to a more sustainable-based state. An initial research agenda for this emerging area has accordingly been presented, which may pave the way for having a futuristic view on Sustainable Manufacturing 5.0 in the next industrial wave, i.e., Industry 5.0.

Drought is a noteworthy cause of low agricultural profitability and of crop production vulnerability, yet in numerous countries of Africa little to no consideration has been paid to readiness for drought calamity, particularly to spatial evaluation and indicators of drought occurrence. In this study, biophysical and socio-economic data, farmers’ community surveys and secondary data from remote sensing on soil characteristics and water demand were used to evaluate the predictors of drought in inland valley rice-based production systems and the factors affecting farmers’ mitigation measures. The study intervened in three West African countries located in the Sudan-Sahel zone, viz. Burkina Faso, Mali and Nigeria. Significant drying trends occurred at latitudes below 11°30′ whilst significant wetting trends were discerned at latitude above 11°30′. Droughts were more frequent and had their longest duration in the states of Niger and Kaduna located in Nigeria and in western Burkina Faso during the period 1995–2014. Among 21 candidate predictors, average annual standardized precipitation evapotranspiration index and duration of groundwater availability were the most important predictors of drought occurrence in inland valleys rice based-production systems. Land ownership and gender affected the commitment of rice farmers to use any mitigation measure against drought. Drought studies in inland valleys should include climatic water balance and groundwater data. Securing property rights and focusing on women’s association would improve farmers’ resilience and advance drought mitigation measures.

This paper investigates whether firm-level (idiosyncratic) political risk (PR) affects the relationship between corporate social responsibility (CSR) and firm value using a sample of 16,518 firm-year observations which correspond to 2055 unique firms belonging to the Russell 3000 Index over the sample period 2010–2020. Our main findings are as follows: First, firm-level PR does not affect firm value. Second, CSR is positively related to firm value, which is mainly driven by the social component of CSR. Finally, PR has no effect on the CSR–firm value relationship, regardless of the PR type. Our evidence suggests that firm-level PR is not priced in the financial market and as such it does not affect the CSR–firm value relationship. This is consistent with portfolio theory which suggests that only systematic risk is priced.

Low-income producers and consumers of food in Africa are more vulnerable to climate change, owing to their comparatively limited ability to invest in more adapted institutions and technologies under increasing climatic risks. Therefore, the way we manage our food systems needs to be urgently changed if the goal is to achieve food security and sustainable development more quickly. This review paper analyzes the nexus “climate-smart agriculture-food systems-sustainable development” in order to draw sound ways that could allow rapid transformation of food systems in the context of climate change pressure. We followed an integrative review approach based on selected concrete example-experiences from ground-implemented projects across Africa (Ghana, Senegal, Mali, Burkina Faso, in West Africa, Ethiopia, Kenya, Rwanda, and Tanzania in East Africa). Mostly composed of examples from the Climate Change, Agriculture, and Food Security (CCAFS) Research Program of the CGIAR (former Consultative Group on International Agricultural Research) and its partners, these also included ground initiatives from non-CGIAR that could provide demonstrable conditions for a transformative agriculture and food systems. The lessons learnt from the ground implementation of climate-smart agriculture (CSA), in the African context, were instrumental to informing the actions areas of the food-system transformation framework suggested in this paper (reroute, de-risk, reduce, and realign). Selected CSA example-cases to inform these action areas included 24 initiatives across Africa, but with a focus on the following studies for an in-depth analysis: (1) the climate-smart village approach to generate knowledge on climate-smart agriculture (CSA) technologies and practices for their scaling, (2) the use of climate information services (CIS) to better manage climate variability and extremes, and (3) the science–policy interfacing to mainstream CSA into agricultural development policies and plans. The analysis of these examples showed that CSA can contribute driving a rapid change of food systems in Africa through: (1) the implementation of relevant climate-smart technologies and practices to reroute farming and rural livelihoods to new climate-resilient and low-emission trajectories; (2) the development and application of weather and climate information services (WCIS) that support de-risking of livelihoods, farms, and value chains in the face of increasing vagaries of weather and extreme events; (3) the use of climate-smart options that minimize waste of all the natural resources used for growing, processing, packaging, transporting, and marketing food, and therefore mitigating the carbon footprint attached to this food loss and waste; and (4) the realignment of policies and finance that facilitate action in the four proposed action areas through the identification of news ways to mobilize sustainable finance and create innovative financial mechanisms and delivery channels.

This article provides a critical overview of national and international efforts to shift education to what has been commonly called 21st century learning. Governments, non-profits, and corporate consortiums are in large part responsible for education reform designed to re-conceptualize K12 education for the 21st century. The article introduces an integrative transformative educational concept called the Living School that connects K12 educational reform with Education for Sustainability, sustainable community development, and individual well-being. Brief portraits describe schools that reflect Living School attributes. Ambitious initiatives to transform education for the 21st century require enlightened leadership and governance structures for scalable, system-wide reform. This paper offers an alternative vision for educational leadership and governance to support education reform based on a holistic approach to sustainable community economic development. An interdisciplinary model of professional learning to prepare education leaders for an alternative vision of education leadership is proposed.

Environmental factors may operate differently when relations are measured across different geographical locations, a phenomenon known as spatial non-stationarity. This study investigates the spatial non-stationarity effect of unhealthy food environments and green spaces on the T2DM prevalence rate at the neighborhood level in Toronto. This study also compares how the results vary between age groups, classified as all adults (20 and above), young adults (from 20 to 44), middle adulthood (from 45 to 64), and seniors (65 and above). The geographically weighted regression model is utilized to explore the impacts of spatial non-stationarity effects on the research results, which may lead to biased conclusions, which have often been ignored in past studies. The results from this study reveal that environmental variables dissimilarly affect T2DM prevalence rates among different age groups and neighborhoods in Toronto after controlling for socioeconomic factors. For example, the green space density yields positive associations with diabetes prevalence rates for elder generations but negative relationships for younger age groups in twenty-two and four neighborhoods, respectively, around Toronto East. The observed associations will provide beneficial suggestions to support government and public health authorities in designing education, prevention, and intervention programs targeting different neighborhoods to control the burden of diabetes.