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This current review examines the scientific literature report on non-timber forest products (NTFPs) commercialisation and forest conservation in different jurisdictions.

A systematic review using Scopus-indexed articles on NTFP commercialisation and forest conservation was done using the PRISMA framework.

The review categorised the factors influencing the commercialisation of NTFPs and forest conservation into five broad factors and sub-factors: socioeconomic, market-based, ecosystem, cultural and institutional factors. The scholarly publications on NTFP commercialisation and forest conservation have been undulating, with two years recording no publication on the subject matter under review. Besides, China and India in Asia are leading in the number of publications on NTFPs’ commercialisation. The review revealed ambivalence and symbiotic relationship among the factors influencing the commercialisation of NTFPs and forest conservation. Specifically, tenure arrangement, strict regulations to forest entry, market information asymmetry, bureaucracy in certification acquisition, seasonality and distance were identified as barriers to NTFPs’ commercialisation. While market demands for NTFPs increased, NTFPs’ prices and unsustainable harvesting activities were threats to forest conservation. Policymakers should focus on safeguarding customary property rights and indigenous knowledge in forest conservation, designing workable capacity-building schemes for NTFP entrepreneurs and reducing the cost and processes in certification acquisition.

There are reviews on NTFPs’ commercialisation and livelihoods, but a synergy between NTFPs’ commercialisation and forest conservation for forest policy direction is yet to be done in the literature. Also, while earlier studies systematically reviewed literature on NTFPs’ commercialisation, they did not relate the studies to forest conservation.

A correlation has been shown in the literature between credit constraints and the adoption of agricultural technologies, technical efficiencies and measures for adapting to climate change. The relationship between credit constraints, risk management strategy adoption and income, however, is not well understood. Consequently, the purpose of this study was to investigate how credit constraints affect the income and risk management practices adopted by Northern Nigerian maize farmers.

Cross-sectional data were collected from 300 maize farmers in Northern Nigeria using a multi-stage sampling technique. Descriptive statistics, seemingly unrelated regression and double hurdle regression models were the analysis methods.

The results showed that friends and relatives, banks, “Adashe”, cooperatives and farmer groups were the main sources of credit in the study area. The findings also revealed that the sources of risk in the study area included production risk, economic risk, financial risk, institutional risk, technological risk and human risk. In addition, the risk management strategies used to mitigate observed risks were fertilizer application, insecticides, planting of disease-resistant varieties, use of herbicides, practising mixed cropping, modern planning, use of management tools as well as making bunds and channels. Furthermore, we found that interest rate, farm size, level of education, gender and marital status were significant determinants of statuses of credit constraints while the age of the farmer, gender, household size, primary occupation, access to extension services and income from maize production affected the choice and intensity of adoption of risk management strategies among the farmers.

The study concluded that credit constrained status condition of farmers negatively affected the adoption of some risk management strategies and maize farmers’ income.

The study concluded that credit constrained status condition of farmers negatively affected the adoption of some risk management strategies and maize farmers’ income. It therefore recommends that financial service providers should be engaged to design financial products that are tailored to the needs of smallholder farmers in the study area.

This paper incorporates the role of constraints in influencing farmers’ decisions to uptake credits and subsequently their adoption behaviours on risk management strategies. The researcher approached the topic with a state-of-the-art method which allows for obtaining more reliable results and hence more specific contributions to research and practice.

Extreme weather events are on the rise around the globe. Nevertheless, it is unclear how these extreme weather events have impacted the supply chain sustainability (SCS) framework. To this end, this paper aims to identify and analyze the aspects and criteria to enable manufacturing firms to navigate shifts toward SCS under extreme weather events.

The Best-Worst Method is deployed and extended with the entropy concept to obtain the degree of significance of the identified framework of aspects and criteria for SCS in the context of extreme weather events through the lens of managers in the manufacturing firms of a developing country-Nigeria.

The results show that extreme weather preparedness and economic aspects take center stage and are most critical for overcoming the risk of unsustainable patterns within manufacturing supply chains under extreme weather events in developing country.

This study advances the body of knowledge by identifying how extreme weather events have become a significant moderator of the SCS framework in manufacturing firms. This research will assist decision-makers in the manufacturing sector to position viable niche regimes to achieve SCS in the context of extreme weather events for expected performance gains.

Despite a reduction in poverty the global population in 2015, the incidence of poverty remains very high in Sub-Saharan African countries. Most of the countries in the region are agrarian, with most of their population residing in rural areas, and a majority of the poor in the region are found in Nigeria. This study examined the nexus between participation in nonfarm enterprises (NFEs) and poverty among rural farm households in Nigeria and across the six geopolitical zones.

The Nigerian Living Standard Survey (NLSS) conducted in 2018–2019 by the National Bureau of Statistics was used. We made use of 13,440 farm households with useful information for the purpose of this study. The sample comprises 6,885 households that participated in NFEs and 6,555 nonparticipating households. The data were analyzed with Foster, Greer, and Thorbecke (FGT) (1984) metrics, probit, and fractional probit models at p = 0.05.

The incidence of poverty was lower among the participating households than in the nonparticipating households. Participation in NFEs had a mitigating effect on poverty. We also established that zonal differentials in poverty rates exist among households in all the analyses. Participation in NFEs was influenced by individual, household, and institutional factors and was also able to explain the depth of poverty among the respondents.

It is suggested that poverty alleviation policies should be targeted at improving access to nonfarm economic activities by rural farm households residing in vulnerable geopolitical zones.

This study is the first attempt to profile household poverty based on the type of NFEs they are involved in. The study also provides an insight into the effect of the state of residence on zonal poverty models, which is expedient if the country must achieve Sustainable Development Goal 1 on the eradication of poverty everywhere.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0493

Fish farmers in Africa often operate on small-scale culture units, primarily due to poor access to funding and low technology adoption. Digital innovation platforms seek to enhance farmers’ access to finance, production and farmers’ income. However, there is a lack of empirical evidence to support these claims. Therefore, this study investigated the factors influencing fish farmers’ access to microcredit from digital innovation platforms and the impact of this microcredit on fish farms’ yield and income in Nigeria.

A mixed-methods approach was adopted, and data were gathered from 387 fish farmers through a well-structured questionnaire and focus group discussion. The data were analyzed using probit regression and instrumental variable two-stage least squares regression.

The results revealed that ownership of smartphones, awareness of digital agricultural innovation platforms, farmers’ education, income, fish farming as a primary occupation, cooperative society and extension contacts positively influenced farmers’ access to microcredit from digital innovation platforms. The age of farmers and household size negatively influenced their access to digital microcredit. Digital microcredit positively and significantly impacted fish farms’ yield and farmers’ income.

Digital microcredit significantly increased fish farm yield and income. Therefore, digital innovation platforms should be encouraged and promoted through the creation of awareness about their ability to solve inadequate financing in agriculture by agricultural extension agents.

This study contributes to our understanding of the influencing factors for farmers accessing digital microcredit and how digital microcredit enhances farm yield and income.

This study aims to examine how women on board influence quality and quantity disclosure of emissions discharge by the listed non-financial firms for the period of six years (2016–2021), with institutional ownership as a moderator.

The study obtained data from a sample of 83 listed non-financial firms. A content analysis technique was employed to compute emissions disclosure indexes using Global Reporting Initiatives standards from the sampled firms. Random and fixed effect regression analyses were run for both direct and moderation models. Based on the results of the Hausman tests, random results were adopted and used in examining the relationship.

The result reveals that women on board are significantly related to emission disclosure. The study also documented that institutional owners have not influenced the relationship between women directors and emissions disclosure.

The study's findings have practical implications for emerging economies, corporations and other business organizations seeking to actively involve the emissions control and reduction issues toward sustainable development goals 5, 7 and 13 in their business models and successfully communicate these efforts to stakeholders.

Listed firms in emerging economies would gain sincerity through the women directors’ knowledge, skills, demographics and ethnicity in the society. Therefore, corporate bodies in emerging economies can successfully contribute toward improving the social welfare of various segments of society by controlling current and future climate issues. Additionally, society will surely benefit when firms control the pollution discharges within the community.

This is the first study, to the best of the authors’ knowledge, that provides empirical evidence on the effect of the presence of women on board on emissions disclosure using institutional ownership as a moderator in Nigeria.

Focusing on the food and beverage (F&B) sectors, this study aims to identify combinations of external environmental factors (natural disasters and water stress) and internal corporate governance factors (corporate social responsibility [CSR] sustainability committee, board gender diversity and stakeholder engagement) that lead to the integration of climate change mitigation innovation and technologies.

A fuzzy set qualitative comparative analysis (fsQCA) was conducted on a global sample of 262 listed companies in the F&B sectors. Two additional analyses were performed for European and Asian companies.

In the three models, the presence of CSR sustainability committees and stakeholder engagement was crucial for achieving the integration of climate change mitigation innovation and technologies. The relevance of board gender diversity differs between the European and Asian models, highlighting potential regional influences on corporate climate innovation decisions. The combination of external and internal factors is the key to justifying different approaches to achieving climate innovation.

This study offers insights into the factors driving the integration of climate change mitigation innovation and technologies into company strategies. Related strategies must combine external and internal factors to enhance the climate resilience and competitiveness of F&B companies while reducing their environmental impact.

This study aims to estimate the synergy effect of agricultural dual-scale management (ADM) on farmers' total household income, its heterogeneous effects and its mechanisms.

This study constructs a theoretical analysis framework based on the division of labor and synergy theory, empirically assesses the impact of ADM on farmers' income, and further discusses the heterogeneity and mechanisms using the propensity score matching (PSM) and quantile treatment effect (QTE) models. Data is collected from 1,076 households across 4 cities in Liaoning Province of China in 2021.

ADM can improve the total household income of farmers, and the impact force is greater than that of the single-scale management mode. ADM is more conducive to improving the income of farmers with low income and low labor endowment. Moreover, ADM can improve agriculture production efficiency, increase net grain production income. Nevertheless, it has no significant effect on farmers' off-farm employment income.

Previous studies have mainly focused on the income effect of land scale management or service scale management. To the best of our knowledge, this study is the first to identify the synergy effect of ADM on farmers' income in China. It provides new insights into the process of agricultural production and management mode transitions in rural China.

This paper aims to examine the level of market participation of coffee processors and the factors that influence their intensity of market participation for processed coffee in Uganda.

This paper studies dry processing of coffee using survey data from purposively selected sample of 120 coffee processors in Uganda. The study utilizes descriptive analysis and Tobit regression approach.

This paper finds the level of participation of coffee processors in the sale of processed coffee at 77.8 percent in Uganda. The findings demonstrate that the intensity of market participation of coffee processors is positively and significantly influenced by Kiboko sales revenue, location, experience of the processor, number of visits by Uganda Coffee Development Authority and processor mill capacity. However, credit access and non-farm income negatively and significantly deterred their intensity of market participation.

The paper shows that there is more potential for coffee processors to increase their intensity of market participation given their current capacity for coffee processing. Therefore, insights on production efficiency and market orientation in coffee value chains would be an issue for future studies.

The study has a direct implication on the economy through supportive institutions and increased investment in the value addition of coffee to meet the increasing regional and global demand for processed coffee.

This paper bridges the gap in literature on commercialization of coffee processing, allows to determine processors' level of market participation and with application of Tobit regression approach to quantify the effects of the factors that influence the intensity of market participation in coffee value chains in Uganda.