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This research examined the impacts of diversified income from trading caterpillar fungus on pastoral households' livestock production and income. The specific objectives were to identify the main factors underlying participation in caterpillar fungus trade and to explore the impacts of a diversified income from trading fungus on livestock production activities and income.

Data were collected from a pastoral household survey (n = 503) in five Tibetan Autonomous Prefectures. The authors employed propensity score matching (PSM) procedures to estimate the effects of participation in trading caterpillar fungus.

Pastoral households participating in caterpillar fungus activities maintain smaller herds, sell fewer animals for profit, slaughter more livestock for family consumption and experience fewer livestock deaths compared to nonparticipants. There is also some evidence that pastoral households participating in caterpillar fungus activities have a higher annual income compared to nonparticipants.

A direct measure of grassland degradation was not included due to the data limitation. The estimated average treatment effects could differ under different observed households' characteristics.

This study fills a gap in the literature on the impacts of diversified income on livestock production activities. The authors provide a new perspective on the controversy over the extraction of caterpillar fungus. This study contributes to exploring the dual role of income diversification in addressing poverty and grassland resource degradation for Tibetan pastoral communities.

The purpose of this paper is to measure technical efficiency and examine its determinants while disentangling unobserved time-invariant heterogeneity from actual inefficiency using comprehensive household-level panel data.

This paper estimates technical efficiency based on the true random-effects stochastic production frontier estimator with a Mundlak adjustment. By utilising comprehensive panel data with 4,694 observations from 39 districts of four major maize-producing regions in Ethiopia, the author measures technical efficiency and examine its determinants while disentangling unobserved time-invariant heterogeneity from technical inefficiency. By using competing stochastic production frontier estimators, the author provides insights into the influence of farm heterogeneity on measuring farm efficiency and the subsequent impact on the ranking of farmers based on their efficiency scores.

The study results indicate that ignoring unobservable farmer heterogeneity leads to a downwards bias of technical efficiency estimates with a consequent effect on the ranking of farmers based on their efficiency scores. The mean technical efficiency score implied that about a 34% increase in maize productivity can be achieved with the current input use and technology in Ethiopia. The key determinants of the technical inefficiency of maize farmers are the age, gender and formal education level of the household head, household size, income, livestock ownership, and participation in off-farm activities.

While the findings of this study are critical for informing policy on improving agricultural production and productivity, a few important things are worth considering in terms of the generalisability of the findings. First, the study relied on secondary data, so only a snapshot of environmental factors was accounted for in the empirical estimations. Second, there could be other sources of unmeasured potential sources of heterogeneity caused by persistent technical inefficiency and endogeneity of inputs. Third, the study is limited to one country. Therefore, future research should extend the analysis to ensure the generalisability of the empirical findings regarding the extent to which unmeasured potential sources of heterogeneity caused by persistent technical inefficiency, endogeneity of inputs and other unobservable country-specific features – such as geographical differences.

This paper contributes to the literature on agricultural productivity and efficiency by providing new evidence on the influence of unobservable heterogeneity in a farm efficiency analysis. While agricultural production is characterised by heterogeneous production conditions, the influence of unobservable farm heterogeneity has generally been ignored in technical efficiency estimations, particularly in the context of smallholder farming. The value of this paper comes from disentailing producer-specific random heterogeneity from the actual inefficiency.

This paper aims to test the impact of remittances receipt on agricultural productivity. The paper empirically assesses whether heterogeneity in economic activity of farming households affects the effects of remittances on productivity of tradable and nontradable crop farming households in Ghana.

The authors employ propensity score matching (PSM) methods to address potential endogeneity issues that could arise from the estimation due to selection bias. This paper uses the seventh round of Ghana living standard survey dataset for Ghana.

The authors find that, the involvement of farming households in other economic activities alters the impact of remittances on crop yield. This differential impact also varies according whether the crop is tradeable or not.

Policy can reduce the cost of sending remittances and include financial literacy modules in the farmer training modules to increase farmers' knowledge on investment of remittance in agricultural production.

The authors distinguish the paper from others by controlling for crop types (particularly tradeable or otherwise and gestation period), farming of a second or more crops and engagement of smallholder farmers in nonfarm economic activities.

The results of this study have significant policy implications for charting a new course toward enhancing agricultural productivity among Chinese farmers.

By establishing a rural household decision-making model based on the transfer market of farmland operation rights, this paper systematically analyzes the effects of land transfer-in and land transfer-out on the productivity (per labor income) of rural households. The authors conducted basic regression analysis and robustness tests using propensity score-matching and proxy variable approaches based on the micro survey data from rural households in 30 counties in 21 provinces/municipalities/autonomous regions in 2013.

After the completion of land transfer, the total productivity of rural households transferring in lands will increase with an increase in the agricultural productivity; the total productivity of rural households transferring out land will increase due to a rise in non-agricultural productivity and the absolute total productivity of rural households not involved in land transfer will remain unchanged.

Unlike previous literature, this paper discusses the impacts of land transfer-in and transfer-out on total productivity, agricultural productivity and non-agricultural productivity among various rural households (i.e. those transferring in land, transferring out land or which are self-sufficient).

This study investigates how income from non-farm activities affects households' consumption in two land holders' groups: households with insecure land holding and households with secure land holding.

Following an instrumental variable approach, this study analyzes data collected on a nationwide sample of 1,800 households in rural Burkina Faso.

For insecure land holders' group, this study finds that income from non-farm activities has a positive effect on household consumption per capita. Moreover, the share of household food consumption is negatively associated with non-farm income in this group. For secure land holders' group, the results show that non-farm income has only a negative effect on the share of their food consumption.

The study highlights the livelihood sustaining role of non-farm activities for rural households. Unlike previous studies, the results show that non-farm income is particularly important for land tenure insecure households facing risk of losing agricultural income.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-05-2023-0423

In the years following the publication of A Theory of Consumption (1923), Hazel Kyrk’s book became the flagship of the field that would later be known as the economics of consumption. It stimulated theoretical and empirical work on consumption. Some of the existing literature on Kyrk (e.g., Kiss & Beller, 2000; Le Tollec, 2020; Tadajewski, 2013) depicted her theory as the starting point of the economics of consumption. Nevertheless, how and why it emerged the way it did remain largely unexplored. This chapter examines Kyrk’s intellectual background, which, we argue, can be traced back to two main movements in the United States: the home economics and the institutionalist. Both movements conveyed specific endeavors as responses to the US material and social transformations that occurred at the turn of the 20th century, notably the perceived changing role of consumption and that of women in US society. On the one hand, Kyrk pursued first-generation home economists’ efforts to make sense of and put into action the shifting of women’s role from domestic producer to consumer. On the other hand, she reinterpreted Veblen’s (1899) account of consumption in order to reveal its operational value for a normative agenda focused on “wise” and “rational” consumption. This chapter studies how Kyrk carried on first-generation home economists’ progressive agenda and how she adapted Veblen’s fin-de-siècle critical account of consumption to the context of the household goods developed in 1900–1920. Our account of Kyrk’s intellectual roots offers a novel narrative to better understand the role of gender and epistemological questions in her theory.

This paper was set to develop a model for forecasting maize production in Tanzania using the autoregressive integrated moving average (ARIMA) approach. The aim is to forecast future production of maize for the next 10 years to help identify the population at risk of food insecurity and quantify the anticipated maize shortage.

Annual historical data on maize production (hg/ha) from 1961 to 2021 obtained from the FAOSTAT database were used. The ARIMA method is a robust framework for forecasting time-series data with non-seasonal components. The model was selected based on the Akaike Information Criteria corrected (AICc) minimum values and maximum log-likelihood. Model adequacy was checked using plots of residuals and the Ljung-Box test.

The results suggest that ARIMA (1,1,1) is the most suitable model to forecast maize production in Tanzania. The selected model proved efficient in forecasting maize production in the coming years and is recommended for application.

The study used partially processed secondary data to fit for Time series analysis using ARIMA (1,1,1) and hence reliable and conclusive results.

Higher productivity in the potato value chain in Rwanda requires good quality seed potatoes. The article analyzes how innovations were introduced in the framework of a development project resulting in a partnership between a firm and two educational institutions to produce better seed potatoes, using the Triple Helix approach.

In the Triple Helix model government, academia and the private sector work together to develop and introduce innovations. This led to producing and introducing improved seed potatoes at an affordable price through a public private partnership (PPP). Interviews with experts and a survey of local producers were carried out to identify factors influencing the success of the partnership.

A Service, Training and Innovation Center (STIC) has been created to produce the first clean potato seeds in Africa on a commercial scale, based on cultivation of in vitro potato plantlets and aeroponics to produce mini-tubers. It is called Seed Potato Advancement Centre, an education–enterprise partnership, using these plantlets to produce mini-tubers through aeroponics. Seed multipliers are responsible for the next three stages of seed multiplication. The final product is the certified potato, sold to ware potato farmers. The availability of disease-free seed potatoes in Rwanda gives a boost to the potato value chains and contributes to food security. The partnership was successful because of the support from the government and donors, with the private sector and the extension services helping to implement the innovations effectively.

The limitation is that the number of experts interviewed is limited and the survey did not only deal with potato-related activities. The focus is on one region only, but the most important potato growing area in Rwanda.

STICs function as a tool for cooperation between government, private sector and the knowledge sector to achieve commercial and development goals. They function as a channel for technology transfer. They allow applied research, including agronomic research; information collection; and dissemination, networking, training, organization of outreach activities. The model can be repeated in other sectors and countries.

The paper looks at a PPP in agriculture with educational institutions. Second, the Triple Helix and value chain literature is used to study the introduction and implementation of appropriate innovations, while factors determining the success of the partnership were identified. This concerns the first production of clean seed potatoes in Africa on a commercial scale.

The nexus between sustainable agri-food production and food security outcomes of farm households in sub-Saharan Africa is attracting policy attention. This study analyzes the effects of crop diversity on the incidence of food scarcity, dietary diversity, and the sale and consumption of own crops.

The study uses panel data collected in 2015 and 2018 on a randomly selected sample of 2553 households from 49 villages in northern Ghana. The study employed a fixed effects modeling approach in the empirical analysis.

The study finds that crop diversity is positively associated with better dietary diversity, reduced hunger, lower food expenditure, and higher consumption of own produce. The results show positive effects of crop diversity on the total harvested output and sale of agricultural production. Whilst sales improved sustainable food and nutrition security by providing purchasing power to buy nutritional inputs in the market, consumption of own produce rather improved food availability by reducing food scarcity and malnutrition.

Crop diversity is one of the pathways for promoting sustainable agri-food production systems to ensure the food and nutritional security of vulnerable populations and promote biodiversity to achieve environmental goals in sub-Saharan Africa. Crop diversity reduces food expenditure and raises rural incomes through improved outputs and sales, which empowers farm households to diversify their dietary options to be able to overcome incidences of hunger and malnutrition in periods of food scarcity.

The present study improves the understanding of sustainable agri-food production through crop diversity and its implications on food and nutrition security outcomes. The panel data and fixed effects modelling approach address the endogeneity problem between crop diversity and household tastes and preferences.