This paper analyzes the status of Pakistan’s agriculture in the world and quantifies the potential of improving productivity and quality of value chain at its different nodes. A great potential of expansion in the value chain of large number of agricultural commodities produced in Pakistan are observed. Just bringing the average crop yield levels at par to the world average yield can generate over US$11 billion additional revenues to the producers. Despite lower yield, majority of commodities have lower prices compared to the world average prices at the farmgate.
The study began with a review of literature on Malawi’s pigeon pea sector. Specifically, the literature review examined secondary material on pigeon pea production, trade (international and export market) and consumption/demand in Malawi. The literature review also included a quick analysis of secondary data on pigeon pea to understand trends in production, productivity, marketing, pricing, processing and consumption/demand.
This brief summarizes a report on the first large survey of maize traders in Nigeria in the past several decades. The sample of about 1400 traders covered one state in the South and four in the North, with traders in city wholesale markets in the North (Jos, Kaduna, Kano, Katsina) and South (Ibadan) and regional markets in secondary cities in the North.
This study presents the results from a meso-inventory conducted in Kebbi State, Northern Nigeria between March and July 2018. Was explored the extent to which the farmed-fish value chain is transforming structurally and the roles of capture fishing versus farmed fish. Kebbi is one of Nigeria’s leading states for fish production. Though largely Sudan Savanna (in the north) and Northern Guinea savanna (in the south), and thus semi-arid tropics, there is still a lot of water and a lot of fish.
This paper aims at analysing the competitive performance of a very tradeable global commodity and the main export crop of Cameroon from 1961 to 2013 through the application of a step-wise analytical framework accommodating aspects of agri-value chain analysis. This conventional analysis was expanded to include value chain comparisons between various valueadding processes in the Cameroonian cocoa value chain as well as consensus vs.
Based on three rounds of panel data (2007, 2009, and 2012) on indigenous households, this study assessed the impacts of Integrated Aquaculture-agriculture value chain participation on the welfare of marginalized poor indigenous rural households in Bangladesh. We also examined the distributional impacts of IAA value chain
This paper examined cowpea value chain mapping and marketing efficiency among cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district. Primary data was collected through face to face interviews from 80 smallholder cowpea farmers using structured questionnaire. Value chain map, descriptive statistics and binary logistic regression model were used to analyse the data
This study analyzed the determinants of ICT usage in agricultural value chains among rural youth in Busia County, Kenya. A total of 213 young farmers were randomly selected and interviewed using semi-structured questionnaires. Descriptive statistics and Poisson regression model were applied in data analysis. Findings showed youth participation using ICTs was concentrated at the marketing level of the agricultural chain activities.
Agricultural Technology Management Agency (ATMA) is a single-window institutional arrangement for technology and information dissemination at the district level and an attempt was made to assess the dairy extension system in the context of ATMA in Guntur district of Andhra Pradesh during 2016. The study revealed that along with organized dairy extension services, ATMA is an important alternative to provide extension services to the dairy sector as animal husbandry sector is an existing allied sector for the ATMA.
This paper examines the determinants of participation in an outsourced extension programs and its impact of smallholder farmers' net farm income in Msinga, KwaZulu-Natal, South Africa. A multi-stage sampling technique was used to obtain cross-sectional farm-level data from a sample of 300 farm households, using a structured questionnaire for the interview. The determinants and impacts of participation were estimated using the propensity score matching (PSM) to account for sample selection bias.