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The disconnect between producers and consumers is a fundamental issue causing irregularities, inefficiencies and leakages in the agricultural sector, leading to detrimental impacts on all stakeholders, particularly farmers. Despite the potential benefits of Metaverse technology, including enhanced virtual representations of physical reality and more efficient and sustainable crop and livestock management, research on its impact in agriculture remains scarce. This study aims to address this gap by identifying the critical success factors (CSFs) for adopting Metaverse technology in agriculture, thereby paving the way for further exploration and implementation of innovative technologies in the agricultural sector.

The research employed integrated methodology to identify and prioritise critical success criteria for Metaverse adoption in the agricultural sector. By adopting a mixed-method technique, the study identified a total of 15 CSFs through a literature survey and expert consultation, focusing on agricultural and technological professionals and categorising them into three categories, namely “Technological”, “User Experience” and “Intrinsic” using Kappa statistics. Further, the study uses grey systems theory and the Ordinal Priority Approach to prioritise the CSFs based on their weights.

The study identifies 15 CSFs essential for adopting Metaverse technology in the agricultural sector. These factors are categorised into Technological, User Experience-related and Intrinsic. The findings reveal that the most important CSFs for Metaverse adoption include market accessibility, monetisation support and integration with existing systems and processes.

Identifying CSFs is essential for successful implementation as a business strategy, and it requires a collaborative effort from all stakeholders in the agriculture sector. The study identifies and prioritises CSFs for Metaverse adoption in the agricultural sector. Therefore, this study would be helpful to practitioners in Metaverse adoption decision-making through a prioritised list of CSFs in the agricultural sector.

The study contributes to the theory by integrating two established theories to identify critical factors for sustainable agriculture through Metaverse adoption. It enriches existing literature with empirical evidence specific to agriculture, particularly in emerging economies and reveals three key factor categories: technological, user experience-related and intrinsic. These categories provide a foundational lens for exploring the impact, relevance and integration of emerging technologies in the agricultural sector. The findings of this research can help policymakers, farmers and technology providers encourage adopting Metaverse technology in agriculture, ultimately contributing to the development of environment-friendly agriculture practices.

The purpose of this paper is to estimate the determinants of rural and national poverty, of income distribution, and of agricultural growth in developing countries.

Data for all variables are from the 2008 World Development Report. The author applies the least‐squares estimation technique in a multivariate linear regression.

It is found, from different size samples, that: the percentage of the rural population living below the national rural poverty line in a developing country is dependent upon the logarithm of per capita purchasing power parity gross national income and the region in which it is located; it linearly depends on its per capita agriculture value added and its geographic location; agriculture value added growth linearly depends on the share of women in the agricultural labor force, whether the developing country is agriculture‐based, and whether it is located in Europe or Central Asia; and agricultural productivity linearly depends on the amount of arable and permanent cropland per agricultural person, the share of women in the agricultural labor force, and the share of agricultural employment in total employment.

Statistical results in this paper will assist governments in developing countries assess the magnitude of agricultural policy variables in an effort to use agriculture as an engine for economic development.

This study aims to highlight the issues encountered by Islamic Banking Institutions (IBIs) while financing the agriculture sector and explore the feasibility of Muzara’ah (crop sharing contract on partnership basis) model based on the concept of revolving credit as an alternative to current models.

To validate the proposed model and gauge the feasibility of Muzara’ah contract, a qualitative research method is applied based on 10 in-depth interviews with qualified industry experts and practitioners. These interviewees are selected following the purposive sampling method, and they belong to Sharīʿah board members of banking institutions, banking industry professionals engaged in agriculture lending, financial regulators (i.e. central bank personnel) and the farming community. Thematic analysis was applied to analyze the data.

The findings of this study document that Muzara’ah can be a useful alternative/solution for the growth of agriculture sector portfolio of financial institutions. Muzara’ah is cost-effective than other Islamic products, including Salam (a kind of sale in which payment is made on the spot while the delivery of the goods is deferred), and carries the features of revolving credit as offered by conventional banks/counterparts.

The main limitation of the study is that only 10 in-depth interviews are conducted.

The application of the Sharīʿah compliant Muzara’ah model based on the concept of revolving credit could help increase agricultural productivity and revenues and reduce poverty and food insecurity. The research will help IBIs to develop products on the concept of Muzara’ah for farmers and other sectors of the agriculture industry.

To the best of the authors’ knowledge, Muzara’ah contract is not offered by formal banking institutions in Pakistan. Hence, the findings contribute to the existing literature and facilitate the policymakers and practitioners in implementing this financial product for the growth of the agriculture sector.

Though agriculture has the potential for job creation for the growing population; nevertheless, most Nigerian youth merely see the agricultural sector as a viable opportunity for livelihood. In the quest for food security, as encapsulated in sustainable development goals (SDGs), youth participation in agriculture is essential to unlock the agricultural sector’s potential and ensure adequate food production.

This study examined the factors influencing youth involvement in agriculture and its impact on food security in Nigeria, using Ekiti and Kwara States. The study engaged a multi-stage random sampling approach. The first stage involved a purposeful selection of the states among youth in agriculture-related activities. The second stage involved randomly selecting five Local Government Areas (LGAs) from each state. The third stage involved a random selection of five communities in the selected LGAs, making it a total of 25 communities for each state. Finally, 20 households were selected per community. In total, 500 respondents were selected from each of the two states, making it a total of 1,000 respondents for the survey. The Foster-Greer-Thorbeck (FGT) analysis uses the logit regression and the Propensity Score Matching (PSM) techniques.

The results showed that a large proportion (about 95%) of the youth farmers in the study area fell below the food security line (N6448.45) and are food insecure. Findings from the PSM showed that youth in agriculture has no significant impact on food security. The findings from the logit regression showed that gender, age, level of education, land ownership, income, safety net or social protection and value chain are significant determinants of youth participation in agriculture.

This study contributes to the literature by examining the determinants of youth in agriculture and its impact on food security in Nigeria, using Ekiti and Kwara States, by engaging the FGT, logit regression and PSM.

This study contributes to the literature by examining the determinants of youth in agriculture and its impact on food security in Nigeria, using Ekiti and Kwara States, by engaging the FGT, logit regression and PSM.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2021-0197

The present research attempts to delve into the climate-agriculture-migration nexus to ascertain whether the variation in agriculture output due to climatic factors has a significant influence on the emigration flows from the Asian and African continents.

The present study draws upon a rich panel of data from 27 countries (14 African and 13 Asian) between 1995 and 2020. The first stage least square, OLS and 2SLS techniques have been employed to examine the relationships between climatic factors and international migration, climatic factors and agriculture output, and agriculture output and international migration, respectively.

The results exhibit a positive relationship between temperature and international migration. The influence of temperature on agriculture output is negative but insignificant while precipitation promotes agriculture output. In addition, agriculture output negatively influences international migration, and these findings establish a climate-agriculture-migration relationship.

To counteract the climate-agriculture-migration nexus, it is incumbent upon governments to conduct extensive field trials and data collection exercises to assess the influence of climate in separate agro-ecological zones and devise policies accordingly.

The literature concerning the interrelationship between climatic factors, agriculture and migration is scarce and what is available pertains to different contexts. Moreover, no studies are based on Asia and Africa; the continents have a high dependence on agriculture and outmigration rates, and the present research covers this important gap in the literature.

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.

Since the post-liberalization era, a noticeable structural change and transition in employment have unfolded within the Indian economy. Hence, the purpose of this paper is to understand employment transition and elucidate the evolving dynamics of rural economies and employment patterns from agriculture to more productive non-agricultural sectors. Additionally, the study investigates the underlying causes of socioeconomic disparities and their repercussions on employment trends.

To address the aforementioned issues, this study utilised secondary data from labour surveys conducted by the National Sample Survey Organisation spanning from 2004–05 to 2023. Initially, the study computed the magnitude of employment in both agriculture and non-agriculture sectors. Subsequently, the distribution of non-agricultural labour across various socioeconomic characteristics was estimated. Furthermore, a logistic regression model was employed to evaluate the impact of socioeconomic factors on employment choices. Finally, Fairlie’s decomposition model was applied to elucidate workers’ decisions to engage in non-agricultural sectors.

The study reveals a significant rise in rural non-agricultural employment, from 98.4 m in 2004–05 to 193.3 m in 2023, indicating changing job preferences. Notably, the construction and trade sectors emerge as significant drivers of this trend. However, self-employment and casual labour persist, highlighting job vulnerability. Additionally, women and marginalised individuals with low levels of education and socioeconomic status lag behind in non-agricultural employment.

This study makes a significant contribution by offering a thorough analysis of the employment transition from agriculture to non-agriculture over a span of two decades. It provides valuable insights into the evolving dynamics of employment trends.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0904.

This case study is based on the Women in Agri-Tech programme, a teacher professional development programme that aimed to build teachers’ capabilities to use Agri-Tech in their agriculture/STEM classes to increase student awareness of agriculture technology and its associated career paths. Teachers and agriculture industry partners co-created Agri-Tech modules, which were implemented and evaluated from teachers’ and students’ perspectives. This paper demonstrates how work-related learning that emphasises technology can increase the visibility of career pathways and how multi-stakeholder benefits can evolve from teacher–industry partnerships.

An action research design using quantitative and qualitative methods was used to construct this case study. Data collection methods included surveys, interviews, peer evaluation and teacher reflections.

Teacher professional development that incorporates teacher-industry partnerships can increase teachers’ self-efficacy and build confidence to support authentic work-related learning in their classes. Integrating technology into agriculture/STEM classes can increase the visibility of agriculture career paths for students, which is critical given the serious skills shortage in this sector.

This study is limited in that the Women in Agri-Tech professional development programme was one standalone programme tailored specifically for women agriculture/STEM teachers through a competitive process. However, the beneficial implications of such programmes that support teacher–industry engagement have far-reaching benefits. Teacher professional development programmes that provide opportunities to partner with industry can support improvements in integrating career-aligned learning into the curriculum and can specifically address industry skills and knowledge gaps by addressing school-based learning requirements for the future workforce.

This paper contributes to the literature on education–industry partnerships and considers how teachers can contribute to an early intervention sector workforce development strategy for future industry sustainability.

Efforts to increase sustainability are increasingly being promulgated using non-state forms of governance. Currently, there are multiple multi-stakeholder initiatives (MSIs) working to develop sustainability standards and metrics for US agriculture. These include: LEO-4000, Field to Market, and the Sustainability Consortium. Using Paul Thompson’s (2010) tripartite sustainability framework, the proposed sustainability standards and metrics of the three MSIs are assessed. Our findings indicate that the current political economic stakeholder nexus is producing incremental adjustments to the status quo of industrial agriculture. Put differently, the standards and metrics being produced by these initiatives are largely advancing programs of sustainable intensification in which sustainability is equated with increasing resource efficiencies. Hence, our research problematizes the efficacy of non-state governance approaches for transformative change in food and agriculture. The findings in this chapter are based on fieldwork conducted between 2011 and 2013.

Financial inclusion and digital finance go side by side and help enhance agricultural activities; however, the magnitude of digital financial services varies across countries. In line with this argument, this study aims to examine whether financial inclusion enhances agricultural participation and decompose the significance of the difference in determinants of agricultural participation between financially included – not financially included households and digital finance – no digital finance households.

This study uses Pakistan’s household integrated economic survey 2018/19 to test hypotheses. The logit model is used to examine the effect of financial inclusion on agriculture participation. Moreover, this study employs a nonlinear Fairlie Oaxaca Blinder technique to investigate the difference in determinants of agricultural participation.

This study reports that financial inclusion positively influences agricultural participation, meaning households may have access to financial services and participate in agricultural activities. The results suggest that the likelihood of participating in agriculture in households with mobiles and smartphones is higher. Moreover, household size, income, age, gender, education, urban, remittances from abroad, fertilizer, pesticides, wheat, cotton, sugarcane, fruits and vegetables are the significant determinants of agricultural participation. To distinguish the financially included – not financially included households’ gap, this study employs a nonlinear Fairlie Oaxaca Blinder decomposition and finds that differences in fertilizer explain the substantial gap in agricultural participation. Likewise, this study tests the digital finance – no digital finance gap and finds that the difference in fertilizer is a significant contributor, describing a considerable gap in agricultural participation.

Empirically identified that various factors cause agricultural participation including financial inclusion and digital finance. Regarding the research limitation, this study only considers a developing country to analyze the findings. However, for future research, scholars may consider some other countries to compare the results and identify their differences.

The accessibility of fertilizer can reduce the agricultural participation gap. However, increased income level, education and cotton and sugar production can also overcome the differences in agriculture participation between digital finance and no digital finance households.

This is the first study to decompose the difference in determinants of agricultural participation between financially and not financially included households.