scholarly journals Time Allocation of Japanese Farm Households: ^|^ldquo;Exogeneity^|^rdquo; in Off-Farm Work Hours

1987 ◽  
Vol 23 (1) ◽  
pp. 10-18
Author(s):  
Yuko Arayama
2009 ◽  
Vol 38 (2) ◽  
pp. 240-257 ◽  
Author(s):  
Ashok K. Mishra ◽  
Robert P. Williams ◽  
Joshua D. Detre

The Internet is becoming an increasingly important management tool in production agriculture. Using data from the 2004 Agricultural Resource Management Survey (ARMS) and a double-hurdle estimation approach, we explore the adoption of computers with Internet access by and Internet purchasing patterns of farm households. Adoption of the Internet is positively related to age and education of the operator, off-farm work, presence of spouse, participation in government programs, farm size, and regional location of the farm. Internet purchasing patterns of farm households are positively related to the education of the operator and spouse, presence of teenagers, and regional location of the farm. Finally, farm businesses and their households are more likely to purchase a greater percentage of non-durable goods through the Internet as distances to markets increase.


2004 ◽  
Vol 10 (1) ◽  
pp. 115-139 ◽  
Author(s):  
Jongsoog Kim ◽  
Lydia Zepeda

1985 ◽  
Vol 21 (3) ◽  
pp. 116-123
Author(s):  
Yuko Arayama

2020 ◽  
Vol 80 (4) ◽  
pp. 453-470 ◽  
Author(s):  
Hisham S. El-Osta

PurposeThe determinants of income of rural and urban farm households, with emphasis on the role of off-farm employment by farm household members and of farm size, are examined using data from the 2016 Agricultural Resource Management Survey (ARMS) and quantile regression procedure. The implemented quantile regression technique is extended to allow for the decomposition of the income gap between the two groups of farm households. Findings indicate, regardless of the location of the farm, a positive and significant impact of a previous year's participation in off-farm work by household members on the distribution of current household income. Having operated a larger-sized farm in the previous year is shown with a similar effect in the upper range of the income distribution for urban households and with a comparable impact but across the whole income distribution for rural farm households.Design/methodology/approachData from the 2016 ARMS are used in conjunction with quantile regression in order for decomposition of the income gap between the two groups of farm households.FindingsFindings show that urban farm households who in a previous year have participated in off-farm work and operated larger-sized farms tend to earn higher incomes. Results further indicate higher rates of return to education for “urban” farm households in comparison to “rural” farm households, particularly for those with a college education and beyond who are at the lower portion of the income distribution.Research limitations/implicationsTo the extent that the ARMS is an annual cross-sectional data, the temporal impacts of factors that potentially may influence the incomes of farm households in urban and rural areas cannot be measured.Practical implicationsFindings from this research indirectly support previous published research where higher earnings by urban US population were documented in comparison to rural population and where earnings tend to rise as a result of participation in off-farm work and in expanding the size of the farming operation; this is in addition to the procurement of higher education.Social implicationsThe results of a higher rate of return to education for “urban” farm households in comparison to “rural” farm households have important policy implications for policymakers.Originality/valueThis is the first paper in the agricultural economic literature that implements a method of assessing the rural–urban divide across all of the quantiles of income distribution.


Food Policy ◽  
2011 ◽  
Vol 36 (2) ◽  
pp. 108-118 ◽  
Author(s):  
Victor Owusu ◽  
Awudu Abdulai ◽  
Seini Abdul-Rahman

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