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.

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 Effect of Farm Income and Off-Farm Wage Variability on Off-Farm Labor Supply

2002 ◽  
Vol 31 (2) ◽  
pp. 187-199 ◽  
Author(s):  
Ashok K. Mishra ◽  
Duncan M. Holthausen
Keyword(s):  
Theoretical Model ◽  
Labor Supply ◽  
Farm Income ◽  
Farm Labor ◽  
Labor Allocation ◽  
Simple Theoretical Model ◽  
Negative Effect ◽  
Farm Operators ◽  
On Farm ◽  
Allocation Decisions

This study models the effects of variability in farm income and off-farm wages on farm operators' labor allocation decisions. A simple theoretical model is employed to develop hypotheses, which are then tested empirically. Variability in farm income and off-farm wages is predicted to have a positive and negative effect, respectively, on off-farm hours worked. The empirical results confirm these predictions.

scholarly journals Farm household income inequality in Slovenia

2020 ◽  
Vol 17 (4) ◽  
pp. e0112 ◽  
Author(s):  
Štefan Bojnec ◽  
Imre Fertő
Keyword(s):  
Income Inequality ◽  
Agricultural Policy ◽  
Common Agricultural Policy ◽  
Household Income ◽  
Farm Income ◽  
Farm Household ◽  
Data Set ◽  
Market Income ◽  
On Farm ◽  
The Impact

Aim of study: To investigate the structure and evolution of farm household income and examine the contribution of different sources of farm household income, particularly the impact of Common Agricultural Policy reform on farm household income inequality in Slovenia.Area of study: Slovenia, one of the European Union member states.Material and methods: A panel data set was compiled using Slovenian Farm Accountancy Data Network data at farm level for the period 2007-2013. Total farm household income was disaggregated into two different components: 1) income components, which can contain market income and off-farm income, and 2) subsidy components, which can contain subsidies from Pillars 1 and 2. Pillar 2 support included subsidies related to agri-environmental measures, less favoured areas and other rural development measures. The income distribution and decomposition were examined using the Gini decomposition method to determine the contribution of each income source and the policy shift from market to government support on farm household income and overall inequality.Main results: A shift in Common Agricultural Policy and related measures determined the structure and evolution of farm household incomes. Off-farm income had a lesser and rather stable impact on farm household income inequality, while the major change involved an increase in the importance of subsidies from Pillar 2 which is consistent with a policy of targeting farms in less favoured areas. Subsidies from Pillar 1 reduced, while market income increased farm household income inequality.Research highlights: Subsidies in farm incomes increased. They could reduce farm household income inequality.

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 Off-farm Income, Credit Constraints, and Farm Investment

2020 ◽  
Vol 52 (4) ◽  
pp. 642-663
Author(s):  
Nigel Key
Keyword(s):  
Household Income ◽  
Credit Constraints ◽  
Limited Resource ◽  
Capital Expenditures ◽  
Farm Income ◽  
Farm Labor ◽  
Federal Programs ◽  
Net Worth ◽  
Access To Credit ◽  
Farm Investment

AbstractMany farmers face borrowing limits that depend on their household income and net worth. Given such credit constraints, an increase in off-farm income should allow farmers to borrow more, thus influencing production decisions and productivity. To test this hypothesis, the education level of the farm operator’s spouse is used to identify exogenous variation in off-farm income. Findings indicate that higher off-farm income leads to more borrowing, capital expenditures, capital input intensity, farm labor use, output, farm income, and productivity. Results suggest that Federal programs that promote access to credit for limited-resource farmers may increase farm investment and productivity.

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

The Impact of Rural Taxation Reform on Farm Household Income

2009 ◽  
Vol 42 (4) ◽  
pp. 75-90 ◽  
Author(s):  
Cuiping Xu ◽  
Qinghua Shi ◽  
H. Holly Wang
Keyword(s):  
Household Income ◽  
Farm Household ◽  
Taxation Reform ◽  
On Farm ◽  
The Impact

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 An Economy-Wide Analysis of Trade Liberalization Impacts on Farm Household Income in Taiwan

2020 ◽  
Vol 11 (12) ◽  
pp. 1984-2005
Author(s):  
Yichieh Chen ◽  
Hsing-Chun Lin ◽  
Sheng-Ming Hsu ◽  
Yu-Chieh Chang ◽  
Ruey-Wan Liou ◽  
...  
Keyword(s):  
Trade Liberalization ◽  
Household Income ◽  
Farm Household ◽  
On Farm
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