scholarly journals Market Channel Choice and Its Impact on Farm Household Income: A Case Study of 243 Apple Farmers in Shaanxi province, China

2014 ◽  
Vol 48 (4) ◽  
pp. 433-441 ◽  
Author(s):  
Min ZHANG ◽  
Masaru KAGATSUME ◽  
Jin YU
Keyword(s):  
Household Income ◽  
Shaanxi Province ◽  
Farm Household ◽  
Channel Choice ◽  
On Farm ◽  
Market Channel

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 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 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

scholarly journals Impact of tissue culture banana technology on farm household income and food security in Kenya

Food Policy ◽  
2014 ◽  
Vol 45 ◽  
pp. 25-34 ◽  
Author(s):  
Nassul S. Kabunga ◽  
Thomas Dubois ◽  
Matin Qaim
Keyword(s):  
Tissue Culture ◽  
Food Security ◽  
Household Income ◽  
Farm Household ◽  
On Farm

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 Livelihood strategy of coastal households during covid-19 pandemic: case study in Wermaktian District, Tanimbar Islands Regency

2021 ◽  
Vol 883 (1) ◽  
pp. 012037
Author(s):  
J F Sopamena ◽  
L O Kakisina ◽  
A E Pattiselanno
Keyword(s):  
Household Income ◽  
Coastal Forest ◽  
Lumber Industry ◽  
Livelihood Strategy ◽  
On Farm

Abstract This research aims to analyze coastal households' livelihood strategy in coping with the covid-19 pandemic, especially for the households who live by coastal forest in Wermaktian District, Tanimbar Islands Regency. Research is conducted at two villages, namely Marantutul Village and Batuputih Village. These villages are selected because the households in that village undergo both farming and fishery activities. The sample is determined purposively, involving 60 households with 30 households taken from each village. The research shows that households who live by coastal forest have used several strategies for fulfilling household necessities during the covid-19 pandemic. Those strategies are classified into three categories, respectively on-farm (intensifying farming works), non-farm (working at lumber industry), and off-farm (as a trader). Working in the lumber industry has the biggest contribution to household income, which is 53 percents. The remaining percentage is contributed by copra commodity, crops, fishery, and household services.

scholarly journals Technology Adoption and Off-Farm Household Income: The Case of Herbicide-Tolerant Soybeans

2005 ◽  
Vol 37 (3) ◽  
pp. 549-563 ◽  
Author(s):  
Jorge Fernandez-Cornejo ◽  
Chad Hendricks ◽  
Ashok Mishra
Keyword(s):  
Technology Adoption ◽  
Household Income ◽  
Nationwide Survey ◽  
Farm Household ◽  
Agricultural Technologies ◽  
Farm Work ◽  
Total Household Income ◽  
Herbicide Tolerant ◽  
On Farm ◽  
The Impact

We model the interaction of off-farm work and adoption of agricultural technologies and the impact of adopting these technologies on farm household income from on farm and off-farm sources after controlling for such interaction, and estimate the model for the case of adoption of herbicide-tolerant (HT) soybeans using a nationwide survey of soybean farms for 2000. We find that adoption of HT soybeans is positively and significantly related to off-farm household income for U.S. soybean farmers, after controlling for other factors. In addition, while on-farm household income is not significantly related to adoption, total household income increases significantly with adoption.

Sign in / Sign up

Export Citation Format

Share Document