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The purpose of this paper is to examine households’ acceptability of local (Ofada) rice by identifying the quality attributes influencing marginal implicit prices (MIPs) paid by rice consumers’ households in South-West, Nigeria.

The data used for this study were collected from a survey of 600 rice-consuming households in the study area. A multistage sampling technique was employed to select the respondents. Well-structured questionnaires were used to collect information on general households’ socioeconomic characteristics, their desirability and preference for local (Ofada) rice, and market prices of Ofada rice. Kendall’s concordance test was performed to confirm agreement among respondents in their rankings of the rice quality attributes. Hedonic price function was used to examine the relationship between implicit prices paid by consumers based on quality attributes of local (Ofada) rice, as observed in the market.

The result of Kendall’s coefficient of concordance revealed that there is 73.74 per cent agreement in ranking quality attributes of local (Ofada) rice consumers’ households in the study area. Colour, perceived nutrient level, taste, grain shape and rate of breakage were the most ranked quality attributes with mean attribute ranking scores of 1.56, 1.69, 3.12, 5.53 and 5.86, respectively. The result of the hedonic pricing model revealed that households are willing to pay MIPs of ₦71.03 ($0.20), ₦45.23 ($0.13), ₦32.98 ($0.09), ₦21.06 ($0.06) and ₦14.41($0.04) per kg for colour, grain cohesion, grain shape, perceived nutrient level and perceived chemical storage, respectively, while discounting MIPs of ₦60.55 ($0.17), ₦19.36 ($0.05), ₦17.14 ($0.05) and ₦6.00 ($0.02) for texture, rate of breakage, perceived freshness and low swelling capacity per kg of local (Ofada) rice, respectively.

Continuous importation of rice into the country has many negative implications such as worsening of the poverty status of local rice farmers, unemployment of teeming youths engaged in rice value chain, and exposure to soaring and unpredictable price bringing unsustainable development. Lastly, over-dependency on rice importation, if not checked, can also permit dumping of low quality and sometimes expired rice into the country. All aforementioned reasons will make it difficult for local rice to compete favourably with imported varieties.

Kendall’s coefficient of concordance and Hedonic model were used as a diagnostic tools. These diagnostic tools show the need for government and relevant stakeholders to focus on improving the quality of local (Ofada) rice, especially the undesirable attributes. This could be achieved by adopting modern processing technology, that will enhance production and consumers’ acceptability, which could make local (Ofada) rice have good market share against imported brands.

The economic value of a good is revealed by the consumer’s willingness to pay for the good, consequently increasing production through consumers’ acceptability, and improve living standard of farmers and processors through increased earnings.

The choice of a particular local rice, especially local (Ofada) rice, is made to estimate the effect of different attributes on the price paid by rice consumers’ households and to help in the development of effective technologies and policy that enhance better rice quality using both Kendall’s coefficient of concordance and Hedonic model to achieve the objective. For the first time this research has given clarity on the monetary value attached to local (Ofada) rice consumption by rice consumers’ households through quality attributes.

This study aims to discuss climate change, by modifying the timing of several agricultural operations, reduce the efficiency and yield of inputs leading to a lower production level. The reduction of the effects of climate change on production yields and on farmers' technical efficiency (TE) requires the adoption of adaptation strategies. This paper analyses the impact of climate change adaptation strategies adopted on maize farmers' TE in Benin.

This paper uses an endogeneity-corrected stochastic production frontier approach based on data randomly collected from 354 farmers located in three different agro-ecological zones of Benin.

Estimation results revealed that the adoption of adaptation strategies improve maize farmers' TE by 1.28%. Therefore, polices to improve farmers' access to climate change adaptation strategies are necessarily for the improvement of farmers' TE and yield.

The results of this study contribute to the policy debate on the enhancement of food security by increasing farmers' TE through easy access to climate change adaptation strategies. The improvement of farmers' TE will in turn improve the livelihoods of the communities and therefore contribute to the achievement of Sustainable Development Goals 1, 2 and 13.

This study contributes to theoretical and empirical debate on the relationship between adaptation to climate change and farmers' TE. It also adapts a new methodology (endogeneity-corrected stochastic production frontier approach) to correct the endogeneity problem due to the farmers' adaptation decision.

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.

Sago starch (Metroxylon sagu Rottb.) is one of the starches imported into Japan. Recently, sago starch has been promoted as a healthy type of starch because it is gluten-free and non-allergenic. This study aims to identify the factors affecting sago starch import demand during the period 1978–2017 in Japan by using a double logarithmic linear function. The study revealed that the price of sago starch, GDP, aging population rate and tariff-rate quota policy are significant factors influencing sago starch importation in Japan.

China's agricultural production trusteeship is characterized by the organic link between household operation of small-scale peasant economy and agricultural socialized services, which releases agricultural development vitality and promotes agricultural modernization. As one of the agricultural production trusteeship modes, the whole process trusteeship is suitable for the actual situation of China's aging population and labor force transfer. This paper aims to construct an evolutionary game model containing multistakeholder to explore the behavior decisions through numerical simulation and to provide useful suggestions for the formation of a positive and stable trusteeship relationship and the sound development of the whole process trusteeship of agricultural production.

The paper incorporates village committees, service organizations and farmers into the same research framework, selects “guarantee + dividends” as the income distribution method and applies the evolutionary game method to analyze behavioral choices and evolutionary paths of stakeholders. By constructing the expectation function, establishing the replicator dynamic equations and analyzing the tripartite evolutionary stability strategy, the authors explore the factors that affect the stakeholders’ strategy choice and determine asymptotically stable points and stability conditions.

(1) There is a game relationship among village committees, farmers and service organizations in the whole process trusteeship of agricultural production, asymptotically stable points (0,0,1) and (1,1,1) are obtained through calculation. (2) The proportion of stakeholders' strategy choice, the weight of the whole process trusteeship of agricultural production in the performance appraisal of the village committee, the village committee's supervision cost, the village committee's reputation effect and the penalty for false dividends of the service organization will affect the speed at which the curve representing the tripartite relationship approaches two asymptotically stable points.

The countermeasures proposed in the paper have excellent reference value. (1) For areas that have realized the project: Village committees can solve the trusteeship problems exposed in the initial areas and improve farmers' satisfaction with the project. (2) For areas that have not realized the project: Those regions will receive more experience references and enhance their confidence in this project. The limitation of the paper is that it takes the main grain-producing areas in only the three northeastern provinces of China as the research object. The next research object will be extended to the whole country.

This paper propose strategies for realizing the orderly operation of the whole process trusteeship of agricultural production: first, increase the proportion of stakeholders' strategy choices; second, reduce the village committee's supervision cost; third, increase the weight of the whole process trusteeship of agricultural production in the performance appraisal of the village committee; fourth, improve the village committee's reputation effect; fifth, increase the penalty for false dividends of the service organization.

Agricultural production trusteeship is in its initial stage in China. The interest relationships between stakeholders are not yet clear. The paper innovatively applies the evolutionary game method to the research field of the whole process trusteeship of agricultural production. According to conditions in China, based on ensuring the guaranteed income, the paper introduces the dividend income variable and establishes a tripartite game model of village committees, service organization and farmers. The paper provides suggestions for the orderly and healthy development of China's agricultural production trusteeship and provides experience for the operation of other modes of agricultural production trusteeship.

The purpose of this paper is to identify factors affecting formal credit constraint status of rural farm households in Vietnam’s North Central Coast (NCC) region.

Using the direct elicitation method (DEM), the authors consider both internal and external credit rationing.

Empirical evidences confirm the importance of household head’s age, gender and education to household’s likelihood of being credit constrained. In addition, households who have advantages in farm land size, labour resources and non-farm income are less likely to be credit constrained. Poor households are observed to remain restricted by formal credit institutions. Results from the endogenous switching regression model suggest that credit constraints negatively impact household’s consumption per capita and informal credit can act as a substitute to mitigate the negative influence of formal credit constraints.

One limitation arises from the usage of the DEM to identify credit constrained households. The method cannot detect effective and ineffective constraints. Another limitation is the inability of cross-section data to capture long-term impacts of credit constraints on household welfare. Finally, causes of credit constraints from the lender’s view cannot be observed.

The results suggest that it is necessary to enhance the credit allocation regime to reduce the transaction cost and provide target households with sufficient credit. It should be emphasized that high transaction cost and the mismatch between credit demand and supply stemming from information asymmetry. The government can help formal financial institutions to reduce information cost by encouraging the active role of social organizations such as Women Unions, Youth Unions and Veteran Unions in bridging rural farm households with formal lenders.

There are limited studies focusing on determinants of credit constraints and their impacts on rural farm households. To the best of the knowledge, there is no study evaluating the impact of credit constraints on rural farm household welfare particularly in Vietnam. In addition, the studies related to credit constraints only considered full quantity rationing (households applied for the loan but were rejected), omitting the case of partly quantity rationing (loan obtained by the borrowers is less than their demand) and self-rationing.

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

The purpose of this paper is to examine farmers’ access to credit, credit constraint, and productivity in the Northern Savannah ecological zone of Ghana.

Secondary data from the Ghana Feed the Future baseline survey involving a total sample of 2,968 farm households were used. The conditional mixed process (CMP) framework was applied to estimate access to credit, credit constraint, and productivity simultaneously. As a system estimator the CMP corrects for possible heterogeneity and sample selection bias.

The results from the estimations revealed that age, literacy, farm non-mechanized equipment, and group membership were the variables influencing farmers’ access to credit. Credit constraint conditions were determined by household size, locality, group membership, and household durable assets. Finally, the results showed that productivity of farmers was dependent on marital status, household size, locality, farm size, commercialization, farm mechanized equipment, group membership, and household durable assets.

This paper is the first, to the best of the authors’ knowledge, to use the CMP framework to jointly estimate access to credit, credit constraint, and productivity. The results indicate that estimating credit access and constraint models separately would have yielded biased estimates. Thus, this paper informs future research on farmers’ credit access, credit constraint, and productivity for informed policymaking.