scholarly journals Farmers as Consumers of Quality Fertilizers: Willingness to Pay and Empirical Evidences from Bangladesh

2021 ◽  
pp. 15-26
Author(s):  
Mahmuda Nasrin ◽  
Siegfried Bauer ◽  
Md Arman ◽  
Shamima Akhter
Keyword(s):  
Willingness To Pay ◽  
Financial Constraints ◽  
Size Group ◽  
Farm Households ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Market Prices ◽  
Ordered Probit Models

The study investigated farmer’s willingness to pay for getting quality fertilizers by employing probit and ordered probit models as the quality of fertilizers were often adulterated in Bangladesh. Primary data collected from 300 farm households were utilized. Results indicated that an average farmer’s willingness to pay was influenced significantly by the farm size group, annual income, off-farm income, product prices and financial constraints. All farmers except marginal farmers were more likely to be willing to pay more than market prices for urea and MoP. The findings suggested for adjusting the farm size group specific subsidy policies. More off-farm employment opportunities could be created in the farming regions to strengthen farmer’s financial capability.

scholarly journals Relationships and the Determinants of Sustainable Land Management Technologies in North Gojjam Sub-Basin, Upper Blue Nile, Ethiopia

2021 ◽  
Vol 13 (11) ◽  
pp. 6365
Author(s):  
Alelgn Ewunetu ◽  
Belay Simane ◽  
Ermias Teferi ◽  
Benjamin F. F. Zaitchik
Keyword(s):  
Land Management ◽  
Scale Up ◽  
Policy Issue ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Sustainable Land Management ◽  
Related Factors ◽  
Blue Nile ◽  
The North

Sustainable land management (SLM) is a leading policy issue in Ethiopia. However, the adoption and continuous use of SLM technologies remain low. This study investigates the interrelationship of adopted SLM technologies and key factors of farmers’ decisions to use SLM technologies in the North Gojjam sub-basin of the Upper Blue Nile. The study was based on the investigation of cross-sectional data obtained from 414 randomly selected rural household heads, focus group discussions, and key informant interviews. Descriptive statistics and Econometric models (i.e., Multivariate Probit and Poisson regression) were used to analyze quantitative data, while a content analysis method was used for qualitative data analysis. Results indicate that at least one type of SLM technology was implemented by 94% of farm households in the North Gojjam sub-basin. The most widely used technologies were chemical fertilizer, soil bund, and animal manure. Most of the adopted SLM technologies complement each other. Farm size, family size, male-headed household, local institutions, perception of soil erosion, livestock size, total income, and extension service increased the adoption probability of most SLM technologies. Plot fragmentation, household age, plot distance, off-farm income, market distance, and perception of good fertile soil discourage the adoption probability of most SLM technologies. To scale up SLM technologies against land degradation, it is important to consider households’ demographic characteristics, the capacity of farm households, and plot-level related factors relevant to the specific SLM technologies being promoted.

THE DETERMINANTS OF LIVELIHOOD INCOME DIVERSIFICATION AMONG RURAL FARMING HOUSEHOLDS IN OSUN STATE, NIGERIA.

2021 ◽  
Vol 5 (2) ◽  
pp. 79-84
Author(s):  
M. Akinyemi ◽  
J. A. Olayinka ◽  
M. Junaidu ◽  
D. Ekpa ◽  
T. Bodaga ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Rural Economy ◽  
Descriptive Statistics ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Practice ◽  
African Countries ◽  
Income Diversification ◽  
Access To Credit

Rural economy in Nigeria is worst hit with the erratic and unpredictable factors that affect agricultural practice which is the main livelihood of the rural farm households. Consequently, farmers are left with the option of sourcing other means of survival to cope with the hard times due to in consistent and seasonal distribution of income which characterize small farm holders in sub-Saharan African countries. This study investigates the factor influencing the livelihood income diversification among rural farm households in Osun state, Nigeria. Multi stage sampling techniques was employed to sample120 structured and pre-tested questionnaires from 120 rural farm households. Descriptive statistics and multiple regression analysis were used to analyze the data. The results of the descriptive statistics revealed that household heads of age range 50-60 years are 38.6% and about 40.70% had primary education while 26.30% had no education. About 98.31% of the rural households engaged in farming out of which 80.57% have farm size ranging between 1-3 hacters. Logit regression analysis shows that access to credit was positively significant (P<0.05) which implies that farmers that have access to credit were more likelihood to have income diversification. Age of the farmers was negatively significant (P<0.1). It connotes that the older the farmers the lesser the likelihood to income diversification. Income equivalent of household was positively significant (P<0.1). Access to electricity was positively significant (P<0.05). This implies that access to electricity increase farmer’s likelihood to income diversification. The off-farm income analysis shows that education and farm size were respectively negative and

scholarly journals Tribal womens involvement with pig farming in Bangladesh: an evidence of Moulvibazar district

2018 ◽  
Vol 16 (1) ◽  
pp. 115-127
Author(s):  
R Khanum ◽  
MSA Mahadi ◽  
MS Islam
Keyword(s):  
Low Income ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Cost Ratio ◽  
Gross Margin ◽  
Factors Affecting ◽  
Model Average ◽  
Pig Farming ◽  
Benefit Cost

The study examined the profitability and factors affecting farm income from pig farming in Moulvibazar district of Bangladesh. A multistage sampling technique was followed to select 70tribal women entrepreneurs involved with pig farming. Primary data were collected through structured questionnaire and analyzed using descriptive statistics, independent sample t-test, benefit-cost analysis, and linear regression model. Average age of pig entrepreneurs was 39.47 years which indicates that they are young and agile. About 71% of Garo entrepreneurs had experience for pig farming. The cost and return analysis showed that in one year, the gross margin was Tk. 56743.70, while the benefit-cost ratio (BCR) was 1.19 indicating that the enterprise is profitable. Regression analysis revealed that three variables namely farm size, age of the respondent and experience of pig farming are significant factors affecting farm income. Thus, it was recommended that tribal women should be encouraged to practice pig farming to overcome their low income and unemployment situation.SAARC J. Agri., 16(1): 115-127 (2018)

scholarly journals Effects of Multiple Risks on Farm Income and Willingness to Pay for Agricultural Insurance: A Case Study of the Greater Accra Region in Ghana

2016 ◽  
Vol 8 (6) ◽  
pp. 1
Author(s):  
Frederick Murdoch Quaye
Keyword(s):  
Risk Factors ◽  
Willingness To Pay ◽  
Significant Risk ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Insurance ◽  
Study Region ◽  
Multiple Risks ◽  
On Farm ◽  
Greater Accra Region

<p>This paper analyzes the determinants of farm income among farmers producing crops and animals in the Greater Accra Region of Ghana. It further estimates the willingness to pay for agricultural insurance by farmers. The farm income function was evaluated using a logarithmic function in which farm income is regressed as a function of determinants affecting it. The econometric results suggest that gender, education, farm size, farming experience, fertilizer usage and input cost all have a positive and statistically significant association with farm income. The results indicate that when investing in agriculture in the study region, weather hazards and pest and disease attacks are two important risk factors that need to be considered in the implementation of insurance policies since they have and statistically significant negative associations with farm income. The paper further observes that weather and pest/disease attacks are two significant risk factors that tend to influence farmers’ willingness to adopt and pay for agricultural insurance.</p>

scholarly journals Gender Differentials in Technical Efficiency among Small-Scale Cassava Farmers in Abia State, Nigeria

2020 ◽  
pp. 98-109
Author(s):  
E. S. Yisa ◽  
M. I. Nwojo ◽  
A. A. A. Coker ◽  
A. Adewumi ◽  
F. D. Ibrahim
Keyword(s):  
Technical Efficiency ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Small Scale ◽  
Gender Differentials ◽  
Female Farmers ◽  
Cassava Production ◽  
Farm Inputs

This study examined gender differentials in technical efficiency among small scale cassava farmers in Abia State, Nigeria. The profitability of cassava production, technical efficiency as well as the factors influencing inefficiency among the farmers in the study area were determined. Well structured questionnaire and interview schedule were employed to obtain primary data from the 133 male and 147 female cassava farmers sampled from two agricultural zones in Abia State. Data were analyzed using descriptive statistics, farm budgeting technique and stochastic frontier production function. A total of 73.68% of males and 81.63% of females were married, with an average household size of 6 and 5 persons, mean farming experience of 18 years for males and 16 years for females, and cultivated less than 2ha of land. Cassava production was profitable with a gross margin of ₦140,978.28 per hectare for males and ₦131,070.27 per hectare for females. The maximum likelihood estimates showed male farmers were more technically efficient with mean efficiency score of 0.82 compared to 0.78 for female farmers. Factors affecting the technical efficiency of male farmers included farm size, educational level, extension contact, credit amount while that of the female farmers were age, farm size, cooperative membership, land ownership and off-farm income. High cost of acquiring credit facilities and farm inputs, poor road network, inadequate extension services, limited farmland were the major constraints faced by farmers in the study area. It was concluded that male farmers were more technically efficient and also had higher gross income per hectare than their female counterpart. Policies aimed at improving the female farmers’ access to land and other farm inputs should be established and implemented by the government in order to increase efficiency was recommended.

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 Cost and Returns Analysis of Groundnut Production in Qua’an Pan Local Government Area of Plateau State, Nigeria

2020 ◽  
pp. 31-40
Author(s):  
A. A. Dalla ◽  
S. K. Vihi ◽  
B. Jesse ◽  
L. G. Tor
Keyword(s):  
Local Government ◽  
Land Tenure ◽  
Function Analysis ◽  
Local Government Area ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Selling Price ◽  
Gross Margin ◽  
Plateau State

This study assessed cost and returns analysis of groundnut production in Qua’an Pan Local Government Area of Plateau State, Nigeria. The specific objectives were to determine the socio economic characteristics of groundnut producers in the study area, estimate the cost and returns of groundnut production, determine the input and output relationship in groundnut production and identify the constraints faced by groundnut farmers in the study area. Multistage sampling technique was used in selecting 150 respondents for the study. Primary data were collected through the use of structured questionnaires and interview technique and were subjected to both descriptive and inferential statistics. The results obtained from the study revealed that the mean age of the respondents was 38 years with males dominating (82%) the groundnut production enterprise in the study area. Greater (85%) percentages of respondents were married with majority (64%) of them having primary school education. The respondents had an average household size of nine (9) persons, a mean farming experience of 9.3 years and an average farm size of 3.0 hectares. The result also revealed that majority (72%) of the respondents did not belong to any cooperative/ farming association. The result indicates that majority (79%) of the groundnut farmers acquired their farmland by inheritance. Groundnut production in the study area is profitable. The average output obtained per hectare was 696 kg at the prevailing selling price of ₦280/kg. The total revenue (TR), gross margin (GM) and, net farm income (NFI) per hectare obtained were ₦194880, ₦139380 and ₦123730 respectively. The return on naira invested (RNI) by farmers in the study area was ₦1.70 indicating that for every one naira invested, ₦1.70 profit was gained. The result of the double log production function analysis shows that farm size, cost of fertilizer and cost of labour were statistically significant and influenced the profitability of groundnut production.  Major constraints to groundnut production in the study area include; high cost of inputs (64 %), high cost of labour (49 %), lack of organized market system (47%), land tenure (42%) among others. The study recommends that groundnut stakeholders and research institutes should work more on introducing new improved groundnut varieties. Government should subsidize groundnut inputs like recommended fertilizer and herbicides so as to motivate farmers to grow groundnut. Government should establish organized marketing systems where farmers will have proper and reliable linkages with buyers thereby reducing the undue exploitative tendencies of the middlemen.  Improved storage facilities should be provided so that farmers could store their produce to avoid spoilage and for sale during times of scarcity.

scholarly journals Farmers' Willingness to Pay for Bio-slurry Fertilizer in Central Java

Agro Ekonomi ◽  
2020 ◽  
Vol 31 (1) ◽  
Author(s):  
Malinda Aptika Rachmah ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Willingness To Pay ◽  
Agricultural Land ◽  
Organic Fertilizer ◽  
Market Price ◽  
Primary Data ◽  
Farm Income ◽  
Factors Affecting ◽  
Determinant Factors ◽  
Central Java ◽  
Residual Product

Bio-slurry is the residual product of biogas processing waste through the decomposition process without oxygen (anaerobic). Bio-slurry can be used as organic fertilizer for agricultural land. This study aims to: 1) assess the value of willingness to pay (WTP) for bio-slurry fertilizer, 2) find factors affecting farmer’s willingness to pay (WTP) of bio-slurry fertilizer. The research was carried out from January to February 2020 in Central Java. Determination of the location is purposive based on the farmers in Magelang and Demak Regency that have utilized biogas waste to be organic fertilizer and had been commercialized. Primary data were obtained from 80 farmers using purposive sampling, with the aid of questionnaire. Data analysis using contingent value method (CVM) to evaluate the farmer’s willingness to pay and logistic regression to analyze its determinant factors. The result showed that farmer’s willingness to pay (WTP) rate of bio-slurry fertilizer was IDR. 937,5/kg, which was above the market price. The determinant factors are farm income, education, price, and experience using organic fertilizer positively related to farmers’ willingness to pay bio-slurry fertilizer whereas land area negatively related to farmers’ willingness to pay bio-slurry fertilizer. The value of willingness to pay show the opportunity for bio-slurry fertilizer to survive in market by taking into account continuity of production and quality.

scholarly journals Rice crop residue management and its impact on farmers livelihood - an empirical study

2016 ◽  
Vol 27 (2) ◽  
pp. 189-199 ◽  
Author(s):  
MT Uddin ◽  
K Fatema
Keyword(s):  
Crop Residue ◽  
Crop Residues ◽  
Household Head ◽  
Rice Crop ◽  
Residue Management ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Crop Residue Management ◽  
Agricultural Income

The study aimed to examine the present status of rice crop residue management and its impact on farmers’ livelihood covering two sub-districts in Mymensingh district of Bangladesh. A total of 100 farmers (50 for crop residue practicing farmers and 50 for the farmers involved in traditional farming) were selected randomly for data collection. A combination of descriptive, statistical and mathematical techniques were applied to achieve the objectives and to get the meaningful results. The results of descriptive statistics showed that retention was found higher in far distance plots from homestead. No retention of crop residues was found in case of Aus and Aman rice. The whole retention was found only in case of Boro rice. The shortage of labour in season and the wage rate were also important factors for the retention of crop residues. However, farmers’ perceptions about the use of crop residues were mostly adding organic matter to the crop field followed by mulching and feeding animal. The recycling of resources among crop retention and livestock has the great potential to return a considerable amount of plant nutrients to the soil in the rice based crop production systems. Due to crop residue practices, crop and livestock both were benefited through resource interdependences. The sampled farmers were benefited from retention of crop residues by improving soil quality, soil moisture, etc.; and farmers used less amounts of fertilizer, irrigation water, etc. for the succeeding crops. Consequently, succeeding crop productivity, profitability and annual income were increased significantly. The result of logit regression model shows that age of household head, farm size, agricultural income and non-farm income were found as significant variables in explaining the variation in crop residue adoption of farm households. To assess the livelihood pattern of sample farm households through asset pentagon approach, noteworthy improvement was found s on different capitals. The study identified some problems regarding crop residue management and finally, recommended that if the farmers get proper training for such management, it would be helpful to improve their livelihood.Progressive Agriculture 27 (2): 189-199, 2016

THE DETERMINANTS OF LIVELIHOOD INCOME DIVERSIFICATION AMONG RURAL FARMING HOUSEHOLDS IN OSUN STATE, NIGERIA

2021 ◽  
Vol 5 (2) ◽  
pp. 171-176
Author(s):  
M. Akinyemi ◽  
J. A. Olayinka ◽  
M. Junaidu ◽  
D. Ekpa ◽  
T. Bodaga ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Rural Economy ◽  
Descriptive Statistics ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Practice ◽  
African Countries ◽  
Income Diversification ◽  
Access To Credit

Rural economy in Nigeria is worst hit with the erratic and unpredictable factors that affect agricultural practice which is the main livelihood of the rural farm households. Consequently, farmers are left with the option of sourcing other means of survival to cope with the hard times due to inconsistent and seasonal distribution of income which characterize small farm holders in sub-Saharan African countries. This study investigates the factor influencing the livelihood income diversification among rural farm households in Osun state, Nigeria. Multi stage sampling techniques was employed to sample 120 structured and pre-tested questionnaires from 120 rural farm households. Descriptive statistics and multiple regression analysis were used to analyze the data. The results of the descriptive statistics revealed that household heads of age range 50-60 years are 38.6% and about 40.70% had primary education while 26.30% had no education. About 98.31% of the rural households engaged in farming out of which 80.57% have farm size ranging between 1-3hacters. Logit regression analysis shows that access to credit was positively significant (P<0.05) which implies that farmers that have access to credit were more likelihood to have income diversification. Age of the farmers was negatively significant (P<0.1). It connotes that the older the farmers the lesser the likelihood to income diversification. Income equivalent of household was positively significant (P<0.1). Access to electricity was positively significant (P<0.05). This implies that access to electricity increase farmer’s likelihood to income diversification. The off-farm income analysis shows that education and farm size were respectively negative and

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