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COVID-19 has caused major disruptions to agricultural supply chains around the world. Researchers and policy-makers are interested in identifying means to reduce the disruptive effects caused by the pandemic. We investigate the impacts of COVID-19 on the operation of e-commerce stores (in short, e-stores) specialising in agricultural inputs. The difference-in-differences method (DID) is employed to estimate the causal relationship between COVID-19 and online sales of agricultural inputs using data from 54,244 agricultural input e-stores registered in 118 prefecture-level cities across 15 provinces and hosted on two major Chinese e-commerce platforms. The results show that COVID-19 led to a substantial growth in monthly sales of agricultural input e-stores, and this growth of online sales varied across store scales and by types of agricultural inputs. In particular, e-stores selling seeds and seedlings experienced a larger growth in sales than stores selling agricultural machinery and implements, and the mid-and larger-scaled e-stores experienced more growth of sales than micro-and small-scaled e-stores. Further analysis reveals that the growth of online sales of agricultural inputs was driven mainly by an increase in the quantity of customer orders (QCO). The findings of this paper underscore the importance of e-commerce in ensuring the resilience of the agricultural supply chain during the pandemic period. [ABSTRACT FROM AUTHOR]

Abstract: BACKGROUND: The Oklahoma Mesonet (the statewide environmental and weather monitoring network) has monitored changes in weather patterns since 1994 to provide accurate and timely mesoscale weather information to farmers and other groups. Studies are still scarce that would quantitatively assess farmers' perceptions about the value of the Oklahoma Mesonet contributions to agricultural operations, profitability of land management, and decision making. This paper aims to analyze those questions by means of an exploratory empirical study in Oklahoma for two groups of Mesonet users and non‐users. RESULTS: Familiarity with and application of Mesonet information determines farmers' profitability assessments and decision making. Farmers' perceptions are also influenced by the degree of previous exposure to weather‐related losses. The median estimate of the economic value of Mesonet information is $1000 per year. Mesonet users perceive higher profitability from the application of Mesonet data at 7.6/10, whereas Mesonet non‐users provided an average assessment of 2.6/10. CONCLUSIONS: Consistent use of Mesonet information results in a higher assessment of the importance of Mesonet. This research provides some initial insights into farmers' perceptions about the value of Oklahoma Mesonet information, which could guide stakeholders in developing measures to better serve farmers with environmental monitoring data for improved farm decisions. © 2018 Society of Chemical Industry [ABSTRACT FROM AUTHOR]

Much of Sub-Saharan Africa is burdened with water scarcity and poverty. Continentally, less than four percent of Africa's renewable water resources are withdrawn for agriculture and other uses. Investments in agricultural water management can contribute in several ways to achieving the Millennium Development Goals of eradicating extreme poverty and hunger and ensuring environmental sustainability. Increased yield and cropping area and shifts to higher valued crops could help boost the income of rural households, generate more employment, and lower consumer food prices. These investments can also stabilize output, income and employment, and have favourable impacts on education, nutrition and health, and social equity. Investments in agricultural water management can cut poverty by uplifting the entitlements and transforming the opportunity structure for the poor. The overall role of investments in agricultural water management in eradicating hunger and poverty is analyzed. This paper contributes to the present debate and efforts to identify strategies and interventions that can effectively contribute to poverty reduction in Africa. It provides an overview of population growth, malnutrition, income distribution and poverty for countries in three case study river basins — Limpopo, Nile, and Volta. With discussions on the contribution of agriculture to national income and employment generation, the paper explores the linkages among water resources investments, agricultural growth, employment, and poverty alleviation. It examines the potential for expansion in irrigation for vertical and horizontal growth in agricultural productivity, via gains in yield and cropping area to boost the agricultural output. Factors constraining such potential, in terms of scarcity and degradation of land and water resources, and poor governance and weak institutions, are also outlined. The paper argues that increased investments in land and water resources and related rural infrastructure are a key pathway to enhance agricultural productivity and to catalyze agricultural and economic growth for effective poverty alleviation. [ABSTRACT FROM AUTHOR]

This paper explores the situation of women left behind in villages when men out-migrate for work and what it implies for gender relations in rural China. It is based on questionnaire survey data that covers 400 left-behind women and extensive interviews in 10 rural communities. It reveals how the women take on multiple family responsibilities including mainly family care and agricultural production, and how they maintain their marital relationships in the context of a long separation. The discussion argues that even though the women's unpaid work becomes visible due to the absence of men in family life, there is a reaffirmation and reinforcement of gender traditions; women are more solidified in the unpaid and low-paid field of work in this new era of rural social transition in China. Moreover, separated married life has made women more vulnerable. In the end, it points to the fact that rural women are experiencing a new and deeper form of exploitation of their labour. Thus they are among those paying a heavy price for the development in China. [ABSTRACT FROM AUTHOR]

The July 2006 war waged by Israel on Lebanon caused an estimated USD 1 billion of direct (financial) damage to infrastructure. However, it generated also significant indirect (economic/inter-temporal) costs. One sector that suffered considerably in this respect was agriculture, the main source of income for 30–40 per cent of Lebanese. This paper's main objective is to develop a methodology to estimate the total—direct and indirect—cost of the war to agricultural crop production, using an area of south Lebanon as a focal point. The indirect loss assessment viewed inter-temporal reductions in crop production values as the opportunity cost of not working fields due to the presence of unexploded ordnance (UXO). Various crops were evaluated for two scenarios (50 and 100 per cent damage due to UXO) over UXO-clearance periods of five and 10 years. The results indicate that any damage estimates that include only direct losses will under-estimate total losses by 80 and 87 per cent for the five- and 10-year periods, respectively. [ABSTRACT FROM AUTHOR]

An agricultural production function is estimated using a Chinese county-level dataset along with associated geographic information. County-specific output-input elasticities are computed using the geographically weighted regression (GWR) and mapped with the geographical information system (GIS). A comparison of the ordinary least squares and GWR estimates confirms that allowing spatial variation in the parameters improves model fit of the agricultural production function, and provides valuable insights into the relative importance of inputs in different regions. Moran's indices reveal the spatial dependence of output per unit of land, and four inputs across regions. Mappings of GWR estimates help to detect a few clusters of high output-input elasticities: for labour in the Northeast, North, Southwest and Northwest China, for land in the Central and Southwest, for mechanical power in the North, Northwest and coastal area of the East and South and for fertiliser in the East. The county-specific scale elasticities suggest constant return to scale is likely to hold in the Central, East, Southwest and South. [ABSTRACT FROM AUTHOR]