scholarly journals Impact of introducing low lift pump on improving income of farm households in some areas of Bhola district in Bangladesh

2012 ◽  
Vol 9 (2) ◽  
pp. 233-240
Author(s):  
MK Majumder ◽  
MS Rahman
Keyword(s):  
Household Head ◽  
Sampling Technique ◽  
Farm Households ◽  
Primary Data ◽  
Farm Income ◽  
Cropping Pattern ◽  
Cropping Patterns ◽  
On Farm ◽  
The Impact ◽  
Average Educational Level

This study focuses the impact of low lift pump (LLP) on farm income and cropping patterns followed by the selected farmers in Bhola district. A random sampling technique was used for the study. Primary data were collected from 60 LLP users from January to March, 2010 through two set of pre-tested questionnaires. Descriptive statistics and profit function were used in the study. Most of the farmers are well experience in farming. The average age of the household head is 47 for owner, 45 for tenant, 44 for owner cum tenant and 41 for LLP owners. The average educational level is 6 for owner, 4 for cash tenant, 5 for owner cum tenant and 5 for LLP Owners. Household size is the largest for cash tenant which is 5.36. Mug – Fallow - B.Aman was the main cropping patterns before using LLP and it was 39.22%. On the other hand, Boro – Fallow -T.Aman was the main cropping pattern after introducing LLP and it was 53.22% in the study area. The income increased in all categories of farmers due to the introduction of LLP. Cash tenant earned more and owner cultivators earned less among the farmer’s categories.   DOI: http://dx.doi.org/10.3329/jbau.v9i2.11035   J. Bangladesh Agril. Univ. 9(2): 233–240, 2011

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 KONVERSI LAHAN PERTANIAN TERHADAP PENDAPATAN RUMAH TANGGA PETANI DI KABUPATEN KARANGANYAR

2017 ◽  
Vol 27 (1) ◽  
pp. 93
Author(s):  
Umi Barokah ◽  
Suprapti Supardi ◽  
Sugiharti Mulya Handayani
Keyword(s):  
Household Income ◽  
Agricultural Land ◽  
Secondary Data ◽  
Farm Households ◽  
Primary Data ◽  
Farm Income ◽  
Test Analysis ◽  
Field Function ◽  
The Impact

<p>This study aims to (1) analyzing the amount of land conversion and the factors that affect, (2) identify and analyze changes in household income structure of farm households, (3) analyze the impact of conversion on agricultural land to the income distribution, employment and welfare of farm households. The basic method on this study is a descriptive analytic. Determination of the districts location is based on (1) the number of people who worked as farmers themselves, (2) the amount and type of existing industries and (3) ease of reaching the central interconnected economy. Sub-district is elected Jumantono and Jaten. Type of data used include (1) primary data is the results of interviews with farm households, (2) secondary data from relevant instances. The results showed (1) during the 12 years there is a change 0,120 ha of wet rice field function per household farmer and owned land is the only factor affecting the conversion of agricultural land; (2) The proportion of farm income reduced by 8.30% from 42% to 33.7% and the proportion of outside farm income increased 10.30% from 54% to 64.30%), (3) the results of t test analysis with α = 5 % shows the employment and household income of farmers before the conversion is not the same as after the conversion of agricultural land (revenue increased to Rp 1.482 million per year). </p>

scholarly journals PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA PERTANIAN DI KELURAHAN KEDAUNG KECAMATAN KEMILING KOTA BANDAR LAMPUNG

2020 ◽  
Vol 8 (2) ◽  
pp. 256
Author(s):  
Werna Newell Simamora ◽  
Wan Abbas Zakaria ◽  
Eka Kasymir
Keyword(s):  
Household Income ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Farm Income ◽  
Cropping Pattern ◽  
High Poverty ◽  
Annual Household Income ◽  
Cropping Patterns ◽  
Average Household Income ◽  
Poverty Levels

The purpose of this study was to analyze the main farming income, annual household income, welfare, and factors that influence the level of household welfare. Data were collected in June - August 2018. The research location was determined intentionally because the Kedaung Village was one of the regions with high poverty levels in the Kemiling District of Bandar Lampung City. The number of respondents in this study was 40 respondents taken using simple random sampling technique. The analytical methods used were farm income analysis, household income analysis, and welfare level analysis. The results of the study explained that the average main farming income was differentiated based on two cropping patterns, namely: first cropping pattern (beans - beans) amounting to Rp2,537,872.35 /0,08 ha per year, while in the second cropping pattern (beans - long beans) amounting to Rp2,830,339.88 /0,07ha per year. The average household income every year based on cropping patterns was Rp23,317,784.40 per year of the first cropping pattern and Rp13,841,450.10 per year of the second cropping pattern. As many as 95 percent of agricultural households in Kedaung Sub-District, Kemiling District, Bandar Lampung City are in the category of unprosperous. This situation occurs because of low social, educational, and health scores.Keywords: agriculture household, income, welfare indicators

Does agro-processing adoption affect farm income and farm diversification? Empirical evidence from Taiwan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lin Lin ◽  
Hung-Hao Chang
Keyword(s):  
Large Scale ◽  
Farm Households ◽  
Farm Income ◽  
Processing Methods ◽  
Content Type ◽  
Farm Diversification ◽  
Effect Model ◽  
Agricultural Census ◽  
On Farm ◽  
The Impact

PurposeThe purpose of this paper is to identify the factors associated with the adoption of agro-processing methods and to estimate their impact on farm income and farm diversification.Design/methodology/approachUsing a large-scale sample of 12,122 special crop farm households drawn from the 2015 Agricultural Census Survey in Taiwan, the semiparametric multivalued treatment effect model was estimated.FindingsThe authors found that agro-processing farm households obtain higher farm incomes than non-agro-processing farm households. Among the agro-processing methods, self-processing generates higher farm income than outsourced-processing. Moreover, farm households that adopt either agro-processing method are more likely to diversify into agritourism and other agribusinesses than non-agro-processing farms.Research limitations/implicationsThe authors could only access data on farm income and not on agro-processing costs. Future studies may address the impact of agro-processing on farm profitability if relevant data are available.Originality/valueVery few studies have examined the relationship between agro-processing, farm income and farm diversification. To the best of the authors’ knowledge, this is one of the first papers to examine the impact of different agro-processing practices on farm income and farm diversification.

scholarly journals Sustainable Soil Management Practices: Adoption and Its Impact on Farm Income in Ramechhap District, Nepal

2016 ◽  
Vol 3 (1) ◽  
pp. 33
Author(s):  
Rishi Ram Kattel ◽  
Suraj Acharya
Keyword(s):  
Nuclear Family ◽  
Household Head ◽  
Soil Management ◽  
Family Type ◽  
Farm Size ◽  
Farm Income ◽  
Tomato Production ◽  
Sustainable Soil Management ◽  
On Farm ◽  
The Impact

This study was carried out to assess the impact of sustainable soil management (SSM) practices in relation to technology adoption and farm income in Ramechhap district of Nepal in 2015. Total 120 sample households were taken (60 SSM practices adopters and 60 non-adopters) using random sampling technique. Primary data were collected through face-to-face interview, focus group discussion, direct observation and key informant interview to gauge the impact using with-without SSM project intervention approach. Descriptive statistics along with independent t-test, chi square test, Probit and income function multi-regression models were used for data analysis. From the cost-benefit analysis, in tomato production, all the variables were found to be significantly different except cost of planting materials. The gross margin, gross income and B: C ratio were also found to be significantly different in tomato production by SSM practices adoption. In beans, potato and cauliflower production, most of the variables were found to be significantly different. The results revealed that, farm income was higher in adopters by significant margin whereas the income from services and remittance was higher in non-adopters than adopters. Probit model revealed that type of family and trainings received were found statistically and positively significant on SSM practices adoption whereas education of household head had negative impact. Income function multi-regression model showed that SSM adoption, male of the respondent, education of the household head and farm size have positively significant on farm income whereas nuclear family type was negatively determinate on farm income. Among the variables, SSM practices adoption was major determinate factor on farm income. If farmer adopted SSM practices, farm income would be about 198 percent higher than among non-adopters. SSM technology has identified an environmentally friendly and improved rural farmers’ income in a sustainable manner in Nepal.

scholarly journals Analisis Perbandingan Pendapatan Petani Pola Tanam Monokultur Dan Polikultur Di Kecamatan Meureudu Kabupaten Pidie Jaya

2016 ◽  
Vol 1 (1) ◽  
pp. 305-313
Author(s):  
Rizael Zoelfahmie ◽  
Safrida Safrida ◽  
Sofyan Sofyan
Keyword(s):  
Secondary Data ◽  
Sampling Technique ◽  
Paddy Fields ◽  
Primary Data ◽  
Survey Method ◽  
Cluster Sampling ◽  
Cropping Pattern ◽  
Cropping Patterns ◽  
Average Area ◽  
Average Average

In the District Meureudu, there are two types of cropping farming in paddy fields, namely Monoculture cropping pattern and cropping patterns poly. Monoculture is planting only one crop a year, namely rice, whereas polyculture cropping is planting more than one plant within a year, namely rice and soybeans. The method used in this research is survey method. The sampling technique is cluster sampling and data used are primary data and secondary data. Average - Average area of land that did monoculture is 0.22 hectares, while the area of land on the cropping pattern polyculture is 0.15. Average - Average harvests of farmers practicing monoculture of 3.2 ton / year, while the average - average yields in cropping patterns polyculture 1.9 ton / year for rice and 0.48 Kg / year for soybeans. Comparison of farmers using monoculture and polyculture in District Meureudu is 65: 35. In general, farmers in Sub Meureudu that uses monoculture earn 42 million / ha / year, while the use of polyculture cropping patterns to earn 58 million / ha / Year. Constraints faced by farmers practicing monoculture of the interview that the pest rodents, sparrows and waterways, while the polyculture cropping patterns from the interviews that the pest rodents, sparrows, waterways and livestock citizens. Keywords: Income, monoculture, and poly

scholarly journals Assessing the Impact of Climate Resilient Technologies in Minimizing Drought Impacts on Farm Incomes in Drylands

2021 ◽  
Vol 14 (1) ◽  
pp. 382
Author(s):  
Josily Samuel ◽  
Chitiprolu Anantha Rama Rao ◽  
Bellapukonda Murali Krishna Raju ◽  
Anugu Amarender Reddy ◽  
Pushpanjali ◽  
...  
Keyword(s):  
Household Income ◽  
Farm Size ◽  
Farm Income ◽  
Farm Household ◽  
Cropping Pattern ◽  
Factors Influencing ◽  
Control Village ◽  
On Farm ◽  
The Impact ◽  
Livestock Rearing

Abstract: Asia is the region most vulnerable to climate change and India is ranked as one of the most climate vulnerable countries in the world, frequently affected by natural disasters. In this study, we investigated the impact of drought on crop productivity, farmer’s employment and income. The difference-in-difference model (DID) and stepwise multiple linear regression (MLR) were employed to quantify the impact of adopting climate resilient technologies (CRTs) on farm household income during a drought. The factors influencing farm incomes were analyzed using MLR. The study used survey data collected from the drought prone district of Telangana, India. Sixty farmers each from a village adopted under the National Innovations in Climate Resilient Agriculture (NICRA) program and a control village were interviewed. Primary data on the socio-economic characteristic of farmers, cropping pattern, income composition, productivity of major crops, employment and climate resilient interventions adopted by farmers were collected using a well-structured schedule. The results reveal that income crop cultivation was the major contributor to household income (60%) followed by livestock rearing. Farmers reported that droughts decreased the income from crops by 54 per cent and income from livestock rearing by 40 per cent. The farmers belonging to the climate resilient village had 35 per cent higher incomes compared to those in the control village and it was estimated to be Rs. 31,877/farm household/year during droughts using the DID estimate. Farm size, livestock possession, adoption of CRTs and investment in agriculture were the determining factors influencing farm income. Thus, farmers especially in drought prone regions need to be encouraged and supported to adopt cost effective, location specific climate resilient technologies.

scholarly journals Perception of Farmers towards Climate Change Impact on Agriculture Production and Adaptation Practices in Pokhara

2020 ◽  
Vol 3 ◽  
pp. 1-10
Author(s):  
Ananta Raj Dhungana
Keyword(s):  
Climate Change ◽  
Climate Change Impact ◽  
Household Head ◽  
Sampling Technique ◽  
Systematic Sampling ◽  
Cropping Pattern ◽  
Factors Associated ◽  
Change Impact ◽  
Adaptation Practices ◽  
The Impact

Climate change has become serious problem which has threatened human civilization in many ways. Although adaptation practices against climate change impact have been explored into practice in massive scale, the impact of climate change in agriculture production is challenging. This study aims to explore the farmers’ perception towards climate change impact on agriculture production and adaptation practices in Pokhara. For this purpose, two wards (30 and 33) of Pokhara were selected purposively. Out of 3,982 households in these wards, 216 households (at 6.5% margin of error and 5% level of significance) were selected for the information collection. Then the information was collected by using structured questionnaire through interview techniques with household head or a household member having age 40 years and over and residing in that locality for last 10 years. A systematic sampling technique was carried out to select the samples. Chi-squared test was applied to find the factors associated with farmers’ adaptation practices for the climate change impact on agriculture production. Rice, maize, wheat, mustard and millet are the major crops in the study area. Majority of the respondents perceived increase in rice production, decrease in maize, wheat and millet production, and no change in mustard production. Majority of the respondents increase the use of improved seeds, chemical fertilizer and pesticides, do not change the cropping pattern and cropping altitude for the adoption of climate change in agriculture production. Use of seeds that can be cultivated in any seasons, fertilize of compost manure production on own field, water collection through pond, water and tank, tunnel crop, practice of off seasons crops are some adoption practices that they could not apply or they did not apply. Agriculture skill and the major occupation of the respondents are the common major factors associated with adaptation practices for climate change impact on agriculture production.  

scholarly journals The Impact of Airport Construction on Farm Households’ Income

2021 ◽  
Vol 22 (1) ◽  
pp. 1-11
Author(s):  
Olga Melinda Matufany ◽  
Istiqomah Istiqomah ◽  
Nunik Kadarwati ◽  
Sodik Dwi Purnomo
Keyword(s):  
Household Income ◽  
Simple Random Sampling ◽  
Farm Households ◽  
Land Acquisition ◽  
Primary Data ◽  
Living Standard ◽  
Farm Income ◽  
Infrastructure Development ◽  
Before And After ◽  
The Impact

Infrastructure development is needed to encourage economic growth. However, infrastructure development requires land acquisition, which may adversely impact the community. This study aims to analyze the impact of Kertajati International Airport construction on the farm households’ income and welfare level. This research data used primary data with a simple random sampling method to select 76 farm households in the most affected village. The analysis techniques were income analysis and paired sample t-test. The results showed that farm income was significantly higher before the airport construction. Nevertheless, off-farm income increased after the airport construction, leading to an insignificant household income difference before and after the land acquisition. As for the prosperity level, on average, the farm households lived below the decent living standard. The results imply the importance of increasing farmers’ capacity so that that compensation funds can be utilized to increase household income.

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