scholarly journals Farmers Willingness to Pay for Participatory Poultry Research in Kwara State, Nigeria: Ex-ante Approach

2021 ◽  
Vol 7 (3) ◽  
pp. 227-244
Author(s):  
Rapheal Olanrewaju Babatunde ◽  
Adedayo Olufemi Adekunle ◽  
Gbenga Opeyemi ◽  
O. Agboola
Keyword(s):  
Willingness To Pay ◽  
Regression Model ◽  
Research Policy ◽  
Household Head ◽  
Sampling Technique ◽  
Primary Data ◽  
Poultry Production ◽  
Probit Regression ◽  
Ex Ante ◽  
Research Initiatives

This study examined farmers’ willingness to pay for participatory poultry research in Kwara State, Nigeria using ex-ante approach. The study utilized primary data collected with the aid of structured questionnaire. A random sampling technique was utilized to select a total number of 102 poultry farmers from Poultry Association of Nigeria (PAN) Kwara State Chapter. Descriptive statistics, Contingent Valuation (CV) techniques and probit regression model were used to achieve the research objectives. The CV results showed that 64.7% of the households were willing to pay. The monthly individual aggregate WTP amount ranged from N2,000 to N6,000, and on average N 2,576 per month, generating aggregate annual values ranging from N12,000.00 to N72,000.00 and on average N30,912.00 (ceteris paribus). Probit regression model demonstrated a significant (p<0.01, p<0.05 or p<0.10) relationship between household size, educational attainment and age of the household head and WTP. The study concluded that majority of the farmers were willing to pay for participatory research. Policy makers and other relevant stakeholders should take advantage of the significant socio-economic factors influencing the decision to participate in poultry research initiatives when formulating policies. This will help improve poultry production in the country. Keywords: participatory poultry research, willingness-to-pay (WTP), probit regression

scholarly journals Analysis of Risk Coping Strategies Among Catfish Farmers in Ikorodu Division, Lagos State, Nigeria

2021 ◽  
Vol 3 (6) ◽  
pp. 89-94
Author(s):  
F. O. Aminu ◽  
H. A. Mohammed ◽  
C. E. Akhigbe-Ahonkhai ◽  
O. B. Samuel
Keyword(s):  
Regression Model ◽  
Coping Strategies ◽  
Group Discussion ◽  
Sampling Technique ◽  
Multivariate Probit ◽  
Primary Data ◽  
Probit Regression ◽  
Lagos State ◽  
Risk Coping

The aim of this study was to analyse the risk coping strategies among catfish farmers in Ikorodu division of Lagos State, Nigeria. Primary data were obtained from 100 catfish farmers with the aid of a pre-tested questionnaire and focus group discussion using multistage sampling technique. Descriptive statistics and multivariate probit regression model were employed for data analysis. Results revealed that majority (68.1%) of the respondent were male with a mean age of 41 years and a mean stock size of 1130. The major sources of risks in the study area were fluctuation in price (89.4%), cost and quality of feed (79.8%), high cost of labour (76.6%), quality of fingerling (75.6%), bird invasion (75.6%) among others. Reduced volume of stock (87.2%), treated pond before stocking (77.7%), purchased good feed quality (74.5%), and used personal savings (72.3%) were the major coping strategies adopted by the farmers in the study area. The estimate of the multivariate probit regression model revealed that sex, age, education, household size, catfish experience, start-up capital, farming status, membership of cooperative association and access to loan were the factors determining the adoption of risk coping strategies in the study area. Therefore, government, both at the federal and state level should intensify efforts at implementing the various agricultural support programs such as anchor borrowers, poverty alleviation fund and other subsidy programs that can help the farmers expand their capital base and better cope with risk in the study area.

scholarly journals Analysis of Consumer’s WTP for Cowpea Varieties in Osun State, Nigeria: the Hedonic Pricing Approach

2018 ◽  
Vol 6 (9) ◽  
pp. 1120 ◽  
Author(s):  
Rabirou Kassali ◽  
Abayomi Yusuf Oyewale ◽  
Olufemi Adedotun Yesufu
Keyword(s):  
Willingness To Pay ◽  
Consumer Preferences ◽  
Sampling Technique ◽  
Hedonic Pricing ◽  
Primary Data ◽  
Price Premium ◽  
Price Variation ◽  
Cowpea Varieties ◽  
Breeding Programmes ◽  
Almost All

Analysis of consumer preferences for cowpea varieties in Osun State was carried out with a view to identifying attributes that determine price variation among cowpea varieties and the effect on consumer’s willingness to pay for those varieties. A multistage sampling technique was used to randomly select 240 respondents for the study, comprising 180 cowpea consumers and 60 retailers. Primary data were collected on cowpea varieties, their attributes and the consumer’s willingness to pay for cowpea varieties using well structured questionnaire. Data collected were analysed using both descriptive and inferential statistics. The results showed that out of thirteen varieties found in the area, only nine varieties of cowpea were common in the market. The quality of each variety differs which explained variation in their price. In terms of preference the Oloyin variety is preferred most by 78% of consumers. Weevil resistance had the highest rank among the cowpea attributes. Oloyin had the highest WTP followed by Milk and Drum with ₦303, ₦237 and ₦213 per kg, respectively. Hedonic pricing methods provide a statistical estimate of premiums and discounts for cowpea attributes. Results indicated that weevil resistance was the most important attribute to consumer. Cowpeas with weevil damage tolerance, brown colour, large grain size and short cooking time commanded price premium for almost all the varieties. The consumer discounted prices for insect damage, small size, white colour, smooth skin and grain colour mixed together. The study concludes on the need for breeders and research institutes to incorporate these cowpea attributes that attracted price premium into their cowpea breeding programmes.

scholarly journals Marketing System of Small Scale Broiler in Selected Areas of Tangail District

2020 ◽  
Vol 7 (2) ◽  
pp. 243-254
Author(s):  
Shahida Akhter ◽  
Alamgir Hasan ◽  
Hasan Habibur Rahman ◽  
Md Kamrul Hassan ◽  
Most Tahmina Khan ◽  
...  
Keyword(s):  
Secondary Data ◽  
Transportation Cost ◽  
Sampling Technique ◽  
Primary Data ◽  
Small Scale ◽  
Poultry Production ◽  
Fair Price ◽  
Marketing System ◽  
Average Production ◽  
Marketing Information

The study was attempted to explore the small scale broiler farming of Tangail district. Bhuapur, Ghatail, Kalihati, Shakhipur, Delduar and Basail Upazilas were selected purposively for this study. Primary data were collected through face to face interview with the respondents of broiler farmers during February to July, 2016. Secondary data were collected from the BBS, poultry production and marketing reports, journals, DAM, DLS and MS theses. A total of 30 broiler farm owners and 54 intermediaries were selected by applying purposive sampling technique. In the production and marketing system of broiler, many intermediaries were involved such as Bepari, Paiker, Wholesaler and Retailer. Marketing of broiler, produced in Tangail district, was moved from producers to the consumers through four separate chains. The average production cost of farmer for 500 birds was BDT 54781.25, and marketing cost of paiker, wholesaler and retailer were BDT 1230, BDT 1310 and BDT 440, respectively. However, beparies received highest marketing cost which was BDT 1370/500 birds. Transportation was found as the highest cost item which was 37.96%, 39.02% and 40.46%, in case of bepari, paiker, and wholesalers, respectively, but there was no transportation cost of retailer. Broiler farmers sold 90% of their broiler to paiker/bepari and remaining 10% to retailer (distance paiker) sold directly. Paikers sold 85.63% of their broilers to retailers and 14.34% to retailers through wholesalers. Consumer purchases100% of broiler from the retailers in the study areas. Broiler producers did not get fair price due to lack of economic storage facilities, existence of stronger middlemen, inadequacy of veterinary care and services, inefficient transportation facilities, and lack of proper marketing information. It could be concluded that institutional credits, timely supply of inputs and stable price of broiler should be ensured along with the provision of transport and market facilities. Res. Agric., Livest. Fish.7(2): 243-254,  August 2020

scholarly journals Willingness to pay for excreta pellet fertilizer: Empirical evidence from Ghana

2017 ◽  
Vol 109 (2) ◽  
pp. 315 ◽  
Author(s):  
JOHN K. M. Kuwornu ◽  
Alfred B. Narh JNR ◽  
Irene S. Egyir ◽  
Edvard E. Onumah ◽  
Solomie Gebrezgabher
Keyword(s):  
Willingness To Pay ◽  
Contingent Valuation Method ◽  
Organic Fertilizer ◽  
Unit Cost ◽  
Household Head ◽  
Farm Size ◽  
Primary Data ◽  
Tobit Regression ◽  
Valuation Method ◽  
Tobit Regression Model

<p><span style="font-family: Times New Roman;">This study examined farmers’ willingness to pay for excreta pellet fertilizer in Ghana. Primary data was obtained from 461 farmers in 10 districts in the Western and Greater Accra regions of Ghana through randomized questionnaire administration. The contingent valuation method was used in eliciting the farmers’ willingness to pay decisions (WTP) and maximum amount they are willing to pay. The Tobit regression model results revealed that being a household head, unit cost of current fertilizer used, and farm size positively influenced the willingness to pay amount whereas previous use of organic fertilizer influenced the willingness to pay amount negatively.</span></p>

scholarly journals Analysis of the Factors Influencing Market Participation among Smallholder Rice Farmers in Magway Region, Central Dry Zone of Myanmar

2018 ◽  
Vol 10 (12) ◽  
pp. 4441 ◽  
Author(s):  
Nyein Kyaw ◽  
Soojung Ahn ◽  
Sang Lee
Keyword(s):  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Household Head ◽  
Sampling Technique ◽  
Primary Data ◽  
Small Scale ◽  
Market Participation ◽  
Rice Farmers ◽  
Factors Influencing ◽  
Dry Zone

Smallholder farmers face numerous constraints that restrict their access to markets and prevent them from taking advantage of market opportunities. This research aimed to examine the factors affecting the market participation of smallholder farmers and find ways to improve the income and livelihood of smallholder farmers, focusing on Myothit Township in Magway Region, Central Dry Zone of Myanmar. For the primary data, we surveyed 150 smallholder rice farmers which were selected using a random sampling technique. Using the Heckman two-stage selection model, we analyzed the factors influencing smallholder rice farmers’ decisions regarding participation in the agricultural market. This study revealed that the decision to participate in the rice market was dependent on different factors such as the household head age, education status, household size, total produce of rice, price of rice, household income, ownership of livestock, membership of farmer organization, access to roads, distance to market, access to extension services, and market information. The results of this study have implications as to what factors need to be addressed to encourage smallholder rice farmers to participate in the market. We suggest that Myanmar government and policymakers need to establish balanced policies for small-scale farmers and manage them in an appropriate way so that agricultural development can be induced, contributing to poverty reduction, food security, and economic development.

scholarly journals Households' preference for some selected cowpea varieties in Oyo State, Nigeria

2020 ◽  
Vol 24 (3-4) ◽  
pp. 108-114
Author(s):  
Ajibola Ojedokun ◽  
Olufemi Yesufu
Keyword(s):  
Formal Education ◽  
Household Head ◽  
Sampling Technique ◽  
Primary Data ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Cowpea Varieties ◽  
Multistage Sampling ◽  
Logit Regression Model ◽  
Weevil Infestation

This study was carried out to determine the factors influencing households' preference for some selected cowpea varieties in Oyo State, Nigeria. Primary data were collected from a total of 250 households from five Local Government Areas (LGAs) using the multistage sampling technique. Data were analysed using descriptive statistics and multinomial logit regression model. The study revealed that households mostly preferred the Oloyin variety of cowpea and that households mostly used Oloyin for their different cooking. The age of household head, the primary occupation of household head, years of formal education, income, prices of cowpea varieties, aroma during cooking, ability to tolerate weevil infestation and absence of foreign particles influenced households' preference for cowpea varieties. The study recommends that it is necessary for stakeholders and breeding institutions to give attention to the Oloyin variety if the Agricultural Promotion Policy's aim will be achieved.

scholarly journals Conservational Tree Growing by Smallholder Farm Households: Evidence from Gamo Highlands of Southern Ethiopia

2020 ◽  
Author(s):  
Malebo Mancha Massa ◽  
Abdulaziz Abdulsemed Mosa
Keyword(s):  
Household Head ◽  
Sampling Technique ◽  
Structured Interview ◽  
Farm Households ◽  
Farm Size ◽  
Primary Data ◽  
Southern Ethiopia ◽  
Cash Income ◽  
Smallholder Farm ◽  
Entry Points

Abstract Background: Deforestation and environmental degradation were identified among the leading factors worsening risk exposure in developing countries. Conservational tree growing was found a permissible option and an awake up policy direction to curve down the problem in Ethiopia. However, the uptake of this practice is far from complete and the art has not been made to a level that could make households self-reliant at least in tree resources, particularly in the highlands. This study was aimed at identifying the main decisive factors that potentially influence conservational tree growing behavior of smallholder farm households in Gamo highlands of Southern Ethiopia.Methods: The study was based on survey data collected from 11 villages in 2011/2012. A multi-stage sampling technique was used to select 335 farm households. A structured interview schedule and observation were used to collect primary data. Descriptive and inferential statistics and Logistic regression model were used to analyze the data.Results: The key findings showed that a host of factors significantly influenced smallholders’ decision to practice conservational tree growing. The study found that tree growing experience, age of the household head, farm size, and availability of suitable land area for tree growing and cash income from sales of trees were the significant factors explaining the variation in conservational tree growing behavior of households. The study also observed that indigenous social and cultural organizations and religious and old-aged funeral sites were the homes for old-aged but live indigenous tree species than private farms.Conclusion: Based on the findings, the study concluded that intra-farmer experience sharing, and support to efficient indigenous institutions and rural tree markets as potential entry points for mitigating deforestation, improving forestry, and developing environmentally sustainable agriculture.

scholarly journals Dampak Usia, Struktur Keluarga, dan Tingkat Pendidikan Terhadap Perilaku Konsumen (Pengunjung) Destinasi Wisata di Kabupaten Tangerang

2021 ◽  
Vol 11 (2) ◽  
pp. 175
Author(s):  
Ahmad Khusaeni ◽  
Khusaini Khusaini ◽  
Aniek Widiarti
Keyword(s):  
Family Structure ◽  
Sampling Technique ◽  
Primary Data ◽  
Validity And Reliability ◽  
Probit Regression ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Infinite Population ◽  
Tourist Destinations ◽  
Binary Probit

One of the important issues as a generator of the world economy is the tourism sector. It can reflected in fluctuations in the number of visitors to tourist destinations that tend to increase, so it becomes a discussion material by both researchers and policy makers. This study investigate the determinants of consumer behavior in determining tourist destinations in Tangerang Regency, namely age, family structure, and education level. This study used a cross-sectional survey approach and analyzed it with a binary probit regression model. Sample sizes were 395 respondents from an infinite population. The sampling technique used an accidental sampling technique. The primary data was obtained using questionnaires that had been tested for validity and reliability. Probit regression analysis showed that the age and level of education have a significant effect on consumer behaviour (visitors) in the selection of tourist destinations, while the family structure was not significant. The contribution of this research provides an alternative model of analysis and improves the consistency of the results of previous research. The current study also contributed to the importance of managing tourist destinations, in order to provide greater benefits for visitors and increased regional revenues from the retribution.

scholarly journals FACTORS AFFECTING HEALTH SPENDING OF FARMERS IN THE TRA VINH PROVINCE

2018 ◽  
Vol 1 (29) ◽  
pp. 9-19
Author(s):  
Trinh Thi Thuy Nguyen ◽  
Xuyen Thi Kim Nguyen ◽  
An Van Vu Nguyen
Keyword(s):  
Health Care ◽  
Regression Model ◽  
Health Expenditure ◽  
Household Head ◽  
Health Spending ◽  
Research Data ◽  
Probit Regression ◽  
Tobit Regression ◽  
Factors Affecting ◽  
Tobit Regression Model

The objective of the article is to identify the factors affecting the decision and the amount of money spent on health care by households in Tra Vinh province. The research data were collected from 200 households in Tra Cu and Cau Ke Districts in Tra Vinh province. Based on the application of Probit regression model, the research team identified the major decisions affecting the health expenditure of households. The estimation results show that the factors affecting the inclination to spend money on the health of the farmers are: Ethnicity; Age of household head; Educational attainment of the household head; Distance from the residence to the nearest health establishments; Economic situation of households. Tobit regression model identified the factors that affect the amount of money spent on health care of the household.

scholarly journals Sustainable Intensification among Smallholder Tobacco (Nicotiana tabacum) Farms in Karoi, Zimbabwe

2021 ◽  
pp. 1-7
Author(s):  
Concilia Mauswa ◽  
Norman Mupaso
Keyword(s):  
Household Head ◽  
Sampling Technique ◽  
Wealth Index ◽  
Household Wealth ◽  
Sustainable Intensification ◽  
Primary Data ◽  
The Government ◽  
Marketing Information ◽  
Productive Assets ◽  
Structured Questionnaire

The study’s aim was to determine socioeconomic factors that influence sustainable intensification amongst smallholder tobacco farms in Karoi district, Zimbabwe. The study was conducted during the period November 2018 to February 2019. A descriptive approach was used in the study. Primary data were collected using a structured questionnaire. The main aspects measured by the questionnaire were household demographic characteristics, assets owned, livestock ownership, income and expenditure, agricultural production and marketing information. A sample of 91 respondents was chosen using the stratified random sampling technique, with the strata being the four wards in Karoi district. Descriptive statistics together with a multivariate regression model were used to analyse the determinants of sustainable intensification among the smallholder tobacco farms. The main findings suggested a significant relationship between sustainable intensification and use of improved seed (P=.01), household-head age (P=.1), household wealth index (P=.01) and distance to the nearest market (P=.01). Based on the findings, the study recommends that agricultural policy strategies should focus on provision of incentives that encourage the smallholder tobacco farmers to adopt environmentally friendly farming practices. Such strategies include, availing agricultural market-places close to the smallholder tobacco farms. Furthermore, the government must support farmers to acquire productive assets so as to enhance their household wealth index, which will eventually lead to sustainable intensification on smallholder tobacco  farms.

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