scholarly journals STRUKTUR DAN DISTRIBUSI PENDAPATAN SERTA TINGKAT KESEJAHTERAAN RUMAH TANGGA PETANI UBI KAYU DI KABUPATEN LAMPUNG TENGAH

2021 ◽  
Vol 9 (2) ◽  
pp. 17
Author(s):  
Rosi Triafni Nurhayati ◽  
Raden Hanung Ismono ◽  
Yaktiworo Indriani
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Farm Income ◽  
Welfare Level ◽  
Significant Difference ◽  
The Difference ◽  
On Farm ◽  
Level Analysis

This research aimed to analyze the difference of the income structure, the income distribution, and the welfare level of cassava farmer households based on factory location distance from location of cassava farm in Lampung Tengah Regency. The research sample consisted of 42 cassava farmers in Terusan Nunyai Subdistrict and 31 cassava farmers in Bandar Mataram Subdistrict. The data were analyzed using income structure, income distribution, and welfare level analysis based on BPS criteria. The results of this research showed that there was difference in the income structure between cassava farmers in Terusan Nunyai Subdistrict and Bandar Mataram Subdistrict. The income structure of cassava farmers had the highest contribution of the household income from main on-farm income which was 65.75 percent and 78.88 percent. There was also difference in the income distribution between cassava farmer households in Terusan Nunyai Subdistrict and Bandar Mataram Subdistrict. The income distribution of cassava farmer households in Terusan Nunyai Subdistrict was categorized as moderate inequality, welfare in Bandar Mataram Subdistrict was categorized as high inequality. There was no significant difference of the welfare level of cassava farmer households between the two locations. Based on BPS criteria, the welfare level of cassava farmer households in Terusan Nunyai and Bandar Mataram Subdistrict were categorized as prosperous farmer households.Key words: cassava, farmers, income, welfare

scholarly journals ANALISIS STRUKTUR DAN DISTRIBUSI PENDAPATAN RUMAH TANGGA SERTA TINGKAT KESEJAHTERAAN ANGGOTA KOPERASI SERBA USAHA PETERNAK MOTIVASI DOA IKHTIAR TAWAKKAL (KSUP MDIT) DI KECAMATAN GISTING KABUPATEN TANGGAMUS

2018 ◽  
Vol 6 (1) ◽  
pp. 95
Author(s):  
Fikri Syahputra ◽  
Dyah Aring Hepiana Lestari ◽  
Fembriarti Erry Prasmatiwi
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Secondary Data ◽  
Primary Data ◽  
Farm Income ◽  
Household Welfare ◽  
Distribution Analysis ◽  
On Farm ◽  
Positive Effect

This study aims to analyze the household income’s structure and distribution, and the household welfare level among cooperatives members, in addition to analyze factors that affected the household welfare of cooperative members. This research employed case study method.  The data was collected from September to October 2016.  The research respondents were 55 people who were all members of KSUP MDIT.  The data was consisted of primary and secondary data. Primary data was obtained by observation and interview; while secondary data was obtained  from the agencies and literatures associated with the study.  The data was analyzed by income analysis, income distribution analysis, welfare analysis and binnary logistic regression analysis. The result showed that the biggest member of cooperative member's household income structure in the latest year was non livestock earnings of On Farm followed by non farm income, goat business income and off farm income.  Distribution of household member income of cooperatives were in low inequality. Based on Socio Metrix indicator, 70.91% cooperative members’ households were included in prosperous category and the remaining 29.09% were not prosperous and old variables of education, length of membership, and household income have a positive effect on welfare level.Key words: distribution income, prosperity of members, income

scholarly journals Analysis of the impact of Praganna Irrigation Project (PIP) on income and employment in Dang District of Nepal

2015 ◽  
Vol 16 ◽  
pp. 142-151
Author(s):  
Yadav Pradhyoti ◽  
Jay Prakash Dutta ◽  
Punya Prasad Regmi ◽  
Narendra Kumar Chaudhary
Keyword(s):  
Simple Random Sampling ◽  
Farm Income ◽  
Variable Cost ◽  
Command Area ◽  
Gini Coefficients ◽  
Irrigation Project ◽  
Significant Difference ◽  
The Difference ◽  
On Farm ◽  
The Impact

A survey research was conducted to assess the performance of Praganna Irrigation Project with respect to farm income and employment in Dang district of Nepal. Simple random sampling was used to select 60 beneficiaries and 30 non-beneficiaries as sampling units to comprise a sample size of 90. Representatives of WUGs and officials of PIP were interviewed through checklists. Altogether there were 75 WUGs, which are responsible for distribution of irrigation water equitably and collection of irrigation charges effectively. A comparative study was made between the beneficiaries and nonbeneficiaries under PIP. The total farm assets of beneficiaries were estimated at NRs. 1,150,975 and differed significantly with the non-beneficiaries with total farm assets of NRs. 875,185. A significant difference was observed between on farm income of beneficiaries (NRs.183,260) and non– beneficiaries (NRs. 31,453). The net farm income of the beneficiaries and non-beneficiaries were estimated at NRs. 79,993 and NRs. 13,077 respectively and the difference were significant among the categories of respondents. The total farm income was significantly affected by landholding, total variable cost, cropping intensity, and employment in case of beneficiaries whereas only employment significantly affected total farm income in case of non-beneficiaries. Gini coefficients for gross household and gross farm income were calculated at 0.37 and 0.44 respectively for beneficiaries and 0.44 and 0.27 respectively for non-beneficiaries. So, there existed inequality in distribution of gross household and gross farm incomes within both categories. The study also indicated the huge potentiality of PIP for increasing farm income in the command area of PIP.

scholarly journals DISTRIBUSI PENDAPATAN RUMAH TANGGA PETANI DI KABUPATEN KARANGANYAR

Agro Ekonomi ◽  
2016 ◽  
Vol 8 (1) ◽  
pp. 27
Author(s):  
Umi Barokah ◽  
Dwidjono Hadi Darwanto ◽  
Supriyanto Supriyanto
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Industrial Area ◽  
Farm Income ◽  
Cluster Sampling ◽  
Farm Household ◽  
Small Farmers ◽  
Income Household ◽  
Multi Stage ◽  
On Farm

The purpose of this research is to study the contribution of off-farm to income household and the effect of off-farm to income distribution between farm household. The location is choosen purposively based on the number of people as farmers, numbers and kind of industries and acessibility to reach economic centre. This research used multi stage sampling, the first was by cluster sampling, where all farm household from two village in Ngringo (kecamatan Jaten) and Tunggulrejo (kecamatan Jumantono) interviewed. And second stratified sampling based on farm size.The result showed that off-farm income (56,26 %) is greater than farm income (43,74 %). Off-farm income of small farmers (71,42 %) is greater than large farmers (45,18 %). Off-farm employment increased household income and the inequality of income tend to reduce. But off-farm employment is mainly for large farmers and close to the industrial area. In contrast, off-farm income increase inequality for small farmers in area far from industrial area

scholarly journals PEKERJAAN LUAR USAHATANI (KASUS RUMAH TANGGA PETANI GUREM DI JAWA)

Agro Ekonomi ◽  
2016 ◽  
Vol 8 (2) ◽  
pp. 65
Author(s):  
Ken Suratiyah
Keyword(s):  
Household Income ◽  
The Other ◽  
Farm Income ◽  
Small Farmers ◽  
Poverty Level ◽  
Welfare Level ◽  
Income Sources ◽  
Level Increase ◽  
Part Time ◽  
On Farm

Small farmer's household never deppend on on-farm income, they must to get other income sources by allocating their family labour as must as possible.Although they are small farmers, they still regard their job is being farmer and the other off-farm activities just as part time jobs. Family labour allocation on off-farm activities is about four times then on-farm, the off-farm's share to household income are 60,31%.By off-farm activities household farmer welfare level increase from poverty level to become wealthy level or not be poor level. The fact is show that off-farm activities to become more important for small farmer's household.

scholarly journals PENDAPATAN DAN KESEJAHTERAAN RUMAH TANGGA PETANI PADI LADANG DI KECAMATAN SIDOMULYO KABUPATEN LAMPUNG SELATAN

2019 ◽  
Vol 6 (4) ◽  
pp. 430
Author(s):  
Wardiah Nurul Khasanah ◽  
Ktut Murniati ◽  
Sudarma Widjaya
Keyword(s):  
Household Income ◽  
Upland Rice ◽  
Farm Income ◽  
Household Welfare ◽  
Rice Farming ◽  
Income Household ◽  
Welfare Level ◽  
Rice Farmers ◽  
C Value ◽  
On Farm

The purposes of this research are to determine income of upland rice farming, income level of farmer household, and household welfare level of upland rice farming.  This research was conducted in Sidomulyo Sub-district, South Lampung District.  The location is determined purposively by consideration that Sidomulyo Sub-district is one of the rice producing centers with the highest number of upland rice farmers in South Lampung District.  The number of respondents in this study was 54 farmers.  The methods of analysis used in this research are descriptive qualitative and quantitative analysis.  The results showed that it is unprofitable rice farming with R/C value over total cost of 0.69.  The income of farmers in rice field that has the greatest contribution is on farm (cultivation of rice fields and corn farming) income with percentage of 54.74 percent of total household income.  The household welfare level of upland rice farming according to poverty criteria by Sajogyo (1976) belongs to sufficient and by the World Bank belongs to not poor category. Key words: farm income, household income, household welfare, upland rice

Stability and mutual impact of perception of parental pressure and infants' social support – A study based on the difference between employment status and household income

2021 ◽  
pp. 002072092199705
Author(s):  
Yong Wang
Keyword(s):  
Household Income ◽  
Employment Status ◽  
Working Mothers ◽  
Social Research ◽  
Research Report ◽  
Parental Pressure ◽  
Income Levels ◽  
Significant Difference ◽  
The Difference ◽  
The Stability

The purpose of this study is to explore the stability and interaction between parental pressure and social research report, as well as the role of employment status and family income levels in this process. This study used a special study on Korean children (PSKC) 2–4 waves. Use t-test, correlation and autoregressive cross-delay modeling to analyze the data. The main findings of this study are: First, over time, parental pressure and mother’s social research report are consistent. Secondly, the pressure of motherhood and childcare has an obvious lagging effect on upbringing, and vice versa. Third, there is no significant difference between working mothers and non-working mothers in terms of the stability of working parents' pressure, social research report and social research report for children's pressure channels. However, parental pressure can only predict the social research report of working mothers. Fourth, there is no significant difference between the stability and interaction of these two structures in household income levels. In short, the results show that, over time, parental pressure is consistent with mother’s social research report. The results also show that there is a significant cross-lag effect between the mothers’ perceptions of mutual pressure analysis. In the process from parental pressure to social research report, I found the difference between working and non-working mothers. The advantage of this study is that the expected longitudinal design was adopted during infancy and the priority between the two structures can be considered. The results of this study can be used as a source of intervention plans to help parents withstand severe parenting pressure and lack of social research report.

scholarly journals ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA MASYARAKAT SEKITAR TAMAN NASIONAL BUKIT BARISAN SELATAN KABUPATEN PESISIR BARAT

2021 ◽  
Vol 9 (3) ◽  
pp. 418
Author(s):  
M. Reza Fachrezy ◽  
Zainal Abidin ◽  
Adia Nugraha
Keyword(s):  
Household Income ◽  
National Park ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Farm Income ◽  
Labor Costs ◽  
The Third ◽  
Average Household Income ◽  
Average Education ◽  
On Farm

This study aims to determine the socio-economic characteristics of farmers, analyze the income structure, the factors that affect the income of farmers, and the level of household welfare of farmers who live around Bukit Barisan Selatan National Park, Pesisir Barat District. This research is a survey research involving 99 respondents who were randomly selected. Respondents were spread across four subdistricts, namely Bengkunat Belimbing, Ngambur, Pesisir Selatan, and Karya Penggawa Districts. The study was conducted from July to August 2018. The first objective was analyzed qualitatively, the second objective was analyzed using household income analysis, the third objective used multiple linear regression analysis, and the fourth objective was using Sajogyo's criteria (1997). The study suggested that the socio-economic characteristics of the farmers around TNBBS were spread from 15 to 64 years of age with an average age of 43.74 years. The average education level was elementary school, the number of majority of family sizes was from 4 to 6 people (67.68%), and the average land was 1.41 ha. The average household income of farmers is IDR 36,946,883.94 per year, which consists of on-farm income 63.68%, off-farm income 11.00%, and non-farm income 25.33%.. Factors that affect farmers' income are fertilizer costs and labor costs. The welfare of farmers around TNBBS is in quite prosperous category.Key words: characteristics, household income, welfare

SMALLHOLDER FARMER’S LIVELIHOOD DIVERSIFICATION AS A RESPONSE TO CHANGED CLIMATIC PATTERNS IN CHONGWE DISTRICT, ZAMBIA.

2020 ◽  
Vol 3 (1) ◽  
pp. 1-17
Author(s):  
Mbewe Jacqueline ◽  
Kabwe Harnadih Mubanga
Keyword(s):  
Climate Change ◽  
Smallholder Farmers ◽  
Rainfall Variability ◽  
Climatic Conditions ◽  
Theory And Practice ◽  
Farm Income ◽  
Significant Difference ◽  
Rainfall Patterns ◽  
On Farm ◽  
Impacts Of Climate Change

Purpose: Climate change affects local and global rainfall patterns and hence has a counter effect on smallholder agriculture. Impacts of climate change on agriculture are largely due to rainfall variability resulting in reduced yields due to crop-water stress and emergency of pathogens and diseases. In Zambia, climate change has been manifested through increased intensity of droughts and floods. These rainfall anomalies adversely affect agriculture and food systems. In order to survive the impacts of climate change and variability, smallholder farmers in Chongwe have adopted their livelihoods and farming systems to the new climatic patterns.Methodology: This study assessed how smallholder farmers in Chongwe District have adopted their livelihoods as a response to changed climatic conditions. It also investigated the perceptions of smallholder farmers as regards changes in aspects of their climatic conditions. Data collection involved a critical review of literature related to climate change and agriculture, observations, semi- structured interviews with 60 smallholder farmers and eight key informants. The data were analysed using multiple analysis techniques which included the descriptive statistics, One-way analysis of Variance (ANOVA), and the post-hoc Least Square Difference for pairwise comparisons of incomes from different livelihoods engaged in by smallholder farmers .The gendered comparisons of livelihood engagement was done using the chi-square test of association.Findings: The results showed that all farmers perceived occurrence of changes in climatic conditions in the light of changed rainfall patterns in that there has been uncertainty in onset of rains, short rainy season, more intermittent rainfall and increased frequency of intra-seasonal droughts. These changes have led to farmers to adopt such farming techniques as potholing in preference to oxen and tractor ploughing when farming is done on smaller pieces of land. There was a significant difference in the mean annual incomes generated from on-farm livelihoods (ZMW 3677.59; n=58) and off-farm livelihoods (ZMW 6840.91; n = 58) (p= 0.001). Farmers generated the highest income returns by engaging in casual work (ZMW 10307.69; n = 13) compared to every other livelihoods common in the area such as gardening (p=0.002), petty trade (p=0.002) and on-farm livelihoods (p=0.001).Contribution to policy, theory and practice: It was therefore concluded that diversification of income through diversified livelihoods would help smallholder farmers enhance their resilience in the face of changed climatic conditions. On-farm livelihoods should not always be the main income source for farmers as results indicated that farmers engaged in casual work generated higher incomes than those who depended on farming. It was recommended that policy direction should be towards introduction of a gender responsive credit facility that can help improve women’s engagement in off-farm income generating livelihoods, as well as encourage climate change resilience.

scholarly journals Farm Household Income and On- and Off-Farm Diversification

2005 ◽  
Vol 37 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Kevin T. McNamara ◽  
Christoph Weiss
Keyword(s):  
Household Income ◽  
Census Data ◽  
Farm Income ◽  
Federal State ◽  
Farm Labor ◽  
Farm Household ◽  
Labor Allocation ◽  
Farm Diversification ◽  
Upper Austria ◽  
On Farm

The paper analyzes the relationship between off-farm labor allocation and on-farm enterprise diversification as farm household income stabilization strategies with census data from the federal state of Upper Austria, Austria. The results suggest that both on-farm diversification and off-farm labor allocation are related to farm and household characteristics. Larger farms tend to be more diversified. Younger farmers are more likely to work off-farm. Larger farm households tend to allocate more labor to off-farm income activities.

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