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Gender-specific perceptions and needs are critical to better understanding climate change adaptation capacities of local smallholder communities in Africa and elsewhere. As many rural agricultural practices are heavily impacted by male-centered traditional customs and mores, gender dimensions can determine the level of success for policy interventions. To better understand how and what gender dimensions can be important factors for farmer’s climate change adaptations, this study attempts to examine smallholder farmers’ adaptation needs and perspectives in Ghana’s Upper East Region. A focus group discussion and a questionnaire survey were conducted among 200 smallholder farmers. We found that the female respondents, who mostly belonged to low/middle-income groups, emphasized their urgent need for financial support to improve their income. They needed more farmland as 94% of them had only less than 5 acres to farm. In addition, 91% of the female respondents expressed the importance of being connected to farmers’ mutual-help groups to share information about common farming needs. We also found gender-specific needs for extension services, farm inputs, climate information, mechanization, and infrastructure. Regarding access to resources, the women respondents had little interest in investing more in farming as the land they borrowed could be taken away by male owners. The study recommends the need for gender-specific support initiatives that prioritize social protection and gender equality.

Indonesia is the largest producer of palm oil; it is essential to manage its palm oil industry in a sustainable manner through swapping the oil palm plantation in peatland to mineral soil to reduce the greenhouse gas emissions. This study employed the latest spatial data using the ArcGIS software to analyze the potential area for the land swap option and to calculate the potential reduction in greenhouse gas emissions in Kalimantan, Indonesia. There are 1.08 million ha of oil palm in peatland, while 0.64 million ha of the area in mineral soil under the convertible production forest have the potential for land swapping. Via the land-swap option, emission reductions of 65.43% (from 979.05 MtCO2eq to 336.64 MtCO2eq) for the calculation period of 25 years and up to 61.19% (from 2147.81 MtCO2eq to 833.67 MtCO2eq) for that of 50 years is possible compared to the initial condition. The land swap will also increase the production of fresh fruit bunch (FFB) by 17.16% per year because the productivity of FFB in mineral soil is higher than that of the peatland. Considering that land swaps are costly, policymakers and stakeholders must collaborate to execute the land-swap option for the sustainability of Indonesian palm oil.

Land degradation poses a major threat to agricultural production and food security in Ethiopia, and sustainable land management (SLM) is key in dealing with its adverse impacts. This paper examines the covariates that shape rural livelihood diversification and examines their effects on the intensity of adoption of SLM practices. Household-level data were collected in 2017 from 270 households in three drought-prone watersheds located in northwestern Ethiopia. We used the Herfindahl–Simpson diversity index to explore the extent of livelihood diversification. A stochastic dominance ordering was also employed to identify remunerative livelihood activities. A multivariate probit model was employed to estimate the probability of choosing simultaneous livelihood strategies, and an ordered probit model was estimated to examine the effect of livelihood diversification on the adoption intensity of SLM practices. In addition to mixed cropping and livestock production, the production of emerging cash crops (e.g., Acacia decurrens for charcoal, and khat) dominated the overall income generation of the majority of farmers. Stress/shock experience, extent of agricultural intensification, and agro-ecology significantly affected the probability of choosing certain livelihood strategies. Livelihood diversification at the household level was significantly associated with the dependency ratio, market distance, credit access, extension services, membership in community organizations, level of income, and livestock ownership. A greater extent of livelihood diversification had a significant negative effect on adopting a greater number of SLM practices, whereas it had a positive effect on lower SLM adoption intensity. Overall, we found evidence that having greater livelihood diversification could prompt households not to adopt more SLM practices. Livelihood initiatives that focus on increasing shock resilience, access to financial support mechanisms, improving livestock production, and providing quality extension services, while also considering agro-ecological differences, are needed. In addition, development planners should take into account the livelihood portfolios of rural households when trying to implement SLM policies and programs.

The harmonized balance between work and family is tough to reach in modern industrial societies because of increasing demands at work and in family settings. Previous studies analyzed work–family culture and its relationship with employees’ job performance without focusing on specific industries. Paralleled with the Sustainable Developments Goals (SDGs), this study aims to analyze the relationship between work–family culture and employees’ job performance in selected industries in Malaysia. This study surveyed 336 employees working in four industries in Peninsular Malaysia, and data were collected using a self-reported questionnaire. The collected data were analyzed using two statistical analyses, i.e., descriptive and inferential statistic multiple linear regression by assisting statistical software, namely SPSS version 26. This study found that organizational time demands, and managerial support have a significant positive relationship with employees’ job performance. Moreover, the career consequences variable does not have a significant effect on employees’ job performance. Therefore, the results provided valuable insights into the work–family culture among employees with family responsibilities. Applied implications for managers are suggested to give full support to the employees while juggling their family matters. This study also contributes to the existing work–family culture literature. After a thorough analysis of this field, the researcher believed that other factors might significantly affect employees’ job performance, such as religiosity, working environment, and integrity in the organizations.

Biogas is one of the most attractive renewable resources due to its ability to convert waste into energy. Biogas is produced during an anaerobic digestion process from different organic waste resources with a combination of mainly CH4 (~50 mol/mol), CO2 (~15 mol/mol), and some trace gasses. The percentage of these trace gases is related to operating conditions and feedstocks. Due to the impurities of the trace gases, raw biogas has to be cleaned before use for many applications. Therefore, the cleaning, upgrading, and utilization of biogas has become an important topic that has been widely studied in recent years. In this review, raw biogas components are investigated in relation to feedstock resources. Then, using recent developments, it describes the cleaning methods that have been used to eliminate unwanted components in biogas. Additionally, the upgrading processes are systematically reviewed according to their technology, recovery range, and state of the art methods in this area, regarding obtaining biomethane from biogas. Furthermore, these upgrading methods have been comprehensively reviewed and compared with each other in terms of electricity consumption and methane losses. This comparison revealed that amine scrubbing is one the most promising methods in terms of methane losses and the energy demand of the system. In the section on biogas utilization, raw biogas and biomethane have been assessed with recently available data from the literature according to their usage areas and methods. It seems that biogas can be used as a biofuel to produce energy via CHP and fuel cells with high efficiency. Moreover, it is able to be utilized in an internal combustion engine which reduces exhaust emissions by using biofuels. Lastly, chemical production such as biomethanol, bioethanol, and higher alcohols are in the development stage for utilization of biogas and are discussed in depth. This review reveals that most biogas utilization approaches are in their early stages. The gaps that require further investigations in the field have been identified and highlighted for future research.

Significant changes in society were emphasized as being required to achieve Sustainable Development Goals, a need which was further intensified with the emergence of the pandemic. The prospective society should be directed towards sustainable development, a process in which technology plays a crucial role. The proposed study discusses the technological potential for attaining the Sustainable Development Goals via disruptive technologies. This study further analyzes the outcome of disruptive technologies from the aspects of product development, health care transformation, a pandemic case study, nature-inclusive business models, smart cities and villages. These outcomes are mapped as a direct influence on Sustainable Development Goals 3, 8, 9 and 11. Various disruptive technologies and the ways in which the Sustainable Development Goals are influenced are elaborated. The investigation into the potential of disruptive technologies highlighted that Industry 5.0 and Society 5.0 are the most supportive development to underpin the efforts to achieve the Sustainable Development Goals. The study proposes the scenario where both Industry 5.0 and Society 5.0 are integrated to form smart cities and villages where the prospects of achieving Sustainable Development Goals are more favorable due to the integrated framework and Sustainable Development Goals’ interactions. Furthermore, the study proposes an integrated framework for including new age technologies to establish the concepts of Industry 5.0 and Society 5.0 integrated into smart cities and villages. The corresponding influence on the Sustainable Development Goals are also mapped. A SWOT analysis is performed to assess the proposed integrated approach to achieve Sustainable Development Goals. Ultimately, this study can assist the industrialist, policy makers and researchers in envisioning Sustainable Development Goals from technological perspectives.

Understanding the influence areas for transit stations in Indian cities is a prerequisite for adopting transit-oriented development (TOD). This study provides insights into the last mile patterns for selected Delhi Metro Rail (DMR) stations, specifically, Karkardooma, Dwarka Mor, Lajpat Nagar, and Vaishali, and the extent of the influence area based on different access modes. The variation in the extent of the influence areas based on various modes and the locational characteristics of stations have been considered in this study. The last mile distances reported in the conducted survey involved the problems of rounding and heaping, and they were subjected to multiple imputation to remove the bias. The spatial extent of the influence areas for various modes was estimated based on the compound power exponential distance decay function. Further, the threshold walking distances were calculated using the receiver operating characteristic (ROC) curves. The variations were noted in the last mile distances among stations. The walking distances (mean and 85th percentile) among stations did not vary considerably; however, large variations were noted when comparing other modes. These differences in accessibility must be taken into account when considering multimodal accessibility and multimode-based TOD. The study can provide useful inputs for planning and implementing TOD in New Delhi.

Plug-in Hybrid Electric Vehicles (PHEVs) can help decarbonize road transport in urban India. To accelerate the diffusion of PHEVs, investigation of commuter preferences towards the attributes of PHEVs is necessary. Therefore, the present study analyzes prospective owners’ choice decisions towards PHEVs in a typical Indian context. A stated preference survey was designed to collect responses from the current owners of conventional vehicles (CVs) in Delhi, India, and Mixed Logit (ML) models were developed to estimate commuters’ Willingness To Pay (WTP) for a set of key PHEV-specific attributes. The decomposition effect of prospective owners’ sociodemographic characteristics and trip characteristics on the mean estimates of random parameters was investigated by developing ML models with heterogeneity. Subsequently, the influence of improvement of each PHEV-specific attribute on prospective owners’ choice probability was investigated by calculating marginal effects. Among the various PHEV-specific attributes considered in the present study, high WTPs are observed for decrease in battery recharging time, reduction in tailpipe emission and increase in electric range. Therefore, an added emphasis on these attributes by vehicle manufacturers is likely to enhance the attractiveness of PHEVs to Indian commuters. The results also highlight the importance of government subsidy for promoting PHEVs in the Indian market. Prospective owners’ income, availability of home-based parking space, and average daily trip length are found to significantly influence the choice decision of Indian commuters towards PHEVs.