2 edition of Off-farm income, technology adoption, and farm economic performance found in the catalog.
Off-farm income, technology adoption, and farm economic performance
The economic well-being of most U.S. farm households depends on income from both onfarm and off-farm activities. Consequently, for many farm households, economic decisions (including technology adoption and other production decisions) are likely to be shaped by the allocation of managerial time among such activities. While time allocation decisions are usually not measured directly, we observe the outcomes of such decisions, such as onfarm and off-farm income. This report finds that a farm operator"s off-farm employment and off-farm income vary inversely with the size of the farm. Operators of smaller farm operations improve their economic performance by compensating for the scale disadvantages of their farm business with more off-farm involvement. Off-farm work reduces farm-level technical efficiency, but increases household-level technical efficiency. And adoption of agricultural innovations that save managerial time is associated with higher off-farm income.
|Statement||Jorge Fernandez-Cornejo ; with contributions from Ashok Mishra ... [et al.].|
|Series||Economic research report -- no. 36., Economic research report (United States. Dept. of Agriculture. Economic Research Service) -- no. 36.|
|Contributions||Mishra, Ashok K. 1967-, United States. Dept. of Agriculture. Economic Research Service.|
|The Physical Object|
|Pagination||v, 46 p. :|
|Number of Pages||46|
Efficiency and technology adoption work in the dairy industry shows farm size is a primary determinant of efficiency and profitability, regardless of the system used. This information is of particular relevance in an era when alternative dairy systems such as organic and pasture-based are being considered as alternatives to what has become. Off-farm income: From the whole sample households 94% of the adopters have off-farm income from participation on off-farm labour and other sources of incomes while only 49% of non-adopters of the. $1,, off 29 percent from Their average off-farm income of nearly $19, brought the average total in- come to nearly $20,, substantially below the average total income of all farmers. The growing importance of off-farm income has raised questions about the occupational status of farm opera- tors.
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Off-Farm Income, Technology Adoption, and Farm Economic Performance Jorge Fernandez-Cornejo, with contributions from Ashok Mishra, Richard Nehring, Chad. The economic well-being of most U.S. farm households depends on income from both onfarm and off-farm activities.
Consequently, for many farm households, economic decisions (including technology adoption and other production decisions) are likely to be shaped by the allocation of managerial time among such activities. Request PDF | Off-farm income, technology adoption, and farm economic performance | The economic well-being of most U.S.
farm households depends on income from both onfarm and off-farm activities. Get this from a library. Off-farm income, technology adoption, and farm economic performance. [Jorge Fernandez-Cornejo; Ashok K Mishra; United States. Department. Abstract. The economic well-being of most U.S.
farm households depends on income from both onfarm and off-farm activities. Consequently, for many farm households, economic decisions (including technology adoption and other production decisions) are likely to be shaped by the allocation of managerial time among such activities.
Assuming stable off-farm income levels from tothis translates to a 40–50% increase in farm household repayment capacity given a median level of off-farm income over farm income alone. This improvement in repayment capacity is proportionally greater for smaller operations in which farming is the operator’s primary occupation.
The economic effects of adoption of GE crops. See Off-Farm Income, Technology Adoption, and Farm Economic Performance (ERR, February ), for more on this topic. Research and development in the seed industry. Farm households' decisions about technology adoption and off-farm labor supply can well be represented in the context of agricultural household model (Fernandez-Cornejo et al.,Huffman, Off-Farm Income.
K likes. This is the page for the Off-Farm Income Podcast. Tune in four times per week on Spotify, iTunes and ers: 5K. This study analyzed the impact of off-farm earnings on the intensity of adoption of improved maize varieties and the productivity of maize farming in Uganda in the years /06 and / Summary statistics show significantly higher adoption intensity and expenditure on purchased inputs among households with off-farm income relative to their.
Downloadable. This paper examines how off-farm work affects the economic performance of crop and (selected) livestock farms. It estimates returns to scale and technical efficiency following an input distance function approach and compares the relative performance of dairy and corn farm operator households with and without off-farm work.
We use farm-level data from the USDA's ARMS survey for. where its impact on farm income is not well understood and exemplified. Therefore, the general objective of this paper is to identify the determinants of farm households’ agricultural technology adoption decision and to examine the impact of adoption on farm income of Tigray region particularly in Raya-Azebo and Raya-Alamata districts.
Home IFPRI Publications Impact of off-farm Income on agricultural technology adoption intensity and productivity Reference URL Impact of off-farm Income on agricultural technology adoption intensity and productivity.
View Description. Page Flip View: Download: small (x max). Role of off-farm income in agricultural production and its environmental effect in Southeast, Nigeria (A case study of commercial motor cycle business) was studied. Two hundred and forty respondents () (One hundred and twenty riders and one hundred and twenty motor cycle users) were selected through multi stage random sampling by: 1.
Off‐farm work participation (Off‐farm) positively significantly influences crop revenue, implying possible income effect of off‐farm work participation on farm output. The effect of other variables on the skewness or downside risk exposure by climate‐smart practice is reported in Table A4 in the Appendix 1 -2.
In agricultural-dependent economies, extension programmes have been the main conduit for disseminating information on farm technologies, support rural adult learning and assist farmers in developing their farm technical and managerial skills.
It is expected that extension programmes will help increase farm productivity, farm revenue, reduce poverty and minimize food by: 2. If GM crops provide Irish farm operators with greater flexibility in crop management, farm operators have the opportunity to work more hours off the farm to gain additional income.
Fernandez-Cornejo, Hendricks, and Mishra, (), in a US study, found that the adoption of HT soybeans significantly increased off-farm household income for US.
Off-Farm income, Technology adoption, and farm economic performance. Economic Research Report No. ERR United States Department of Agriculture. Farms in a Modern World: Local Integration and Off-Farm Employment. In: Urban-Rural Interactions.
Contributions to Economics. Physica-Verlag : Eveline S. van Leeuwen. Agricultural Household Hedging With Off-Farm Income Steven C. Blank and Kenneth W. Erickson 1 Introduction Off-farm income (OFI) represents a high and generally increasing percentage of average farm operator household income in the United States (Mishra et al.).
As shown in Table 1, OFI. A recent study ("Income Trends for Iowa Farms and Farm Families ") by David Peters, associate professor and extension rural sociologist with Iowa State University, summarized current trends in farm income by type of farm operation and pointed to more specific issues regarding the importance of non-farm income to the financial picture of farm households.
versus ‘non-farm’ or on ‘on-farm’ versus ‘off-farm’ activities. An increased focus on the RNFE has led to a more holistic view of rural development and reflects the reality of growing economic diversification amongst rural households.
Thus, it could be argued that understanding the rural non-farm economy in context implies the use of. Purchase of non-farm products can be paid from proceeds of sales of farm products and/or non-farm income.
Income effects increase consumption of both farm products and non-farm products, and also leisure. An increase in non-farm income, holding farm output constant, has a negative net effect on market participation, since the householdFile Size: 81KB. Fernandez-Cornejo J, Hendricks C, Mishra A () Technology adoption and off-farm household income: the case of herbicide-tolerant soybeans.
J Agric Appl Econ 37(3)– Google Scholar Foltz J, Chang HH () The adoption and profitability of rbST on Connecticut dairy by: 1. Introduction. The northern part of Ghana is characterized by smallholder agriculture in which 80% of the population engages in subsistence farming dominated by very low farm productivity and farm income (Ministry of Food and Agriculture, MoFA, ).The low levels of productivity are attributable to such constraints as the low use of improved seeds, inadequate soil amendments, poor crop Author: Edward Martey, Edward Martey, Prince M.
Etwire, John K.M. Kuwornu. (b)Includes income from wages and salaries, net off-farm self-employment, investments, pensions and other sources. Note: The table above includes those farm operators involved in a single, unincorporated farm with total operating revenues of $10, or more.
Financial performance of small farm business households: The role of internet to reduce information asymmetry among economic agents. Internet adoption and usage may be increased, as Farm Service Agency, off-farm income, farm financial performance (net farm income and gross cash income), total variable costs (VC), marketing and storage.
Agriculture reports that off-farm income of farm households increased percent between and It also reports that off-farm income was 6 times that of cash farm income in (USDA, a). Many studies have focused on the off-farm labor supply of farmers or farm families and addressed a variety of issues.
Most of these studies have File Size: KB. Furthermore, off-farm income and distance of farm to homestead were statistically significant but negatively correlated with the CSA level of adoption. This paper argues that climate change-related education through improved extension contact and exposure to mass media can strengthen integrated farm activities that bolster farm by: 1.
The regression model hypothesis stating the positive impact of agricultural technology adoption on farm income is accepted at 5% significance level.
Household income was found to be determined positively by gender (given male headed households do have a better farm income), land size, access to credit, membership to an association and TLU.
In this episode of the Off-Farm Income Podcast I get to give you a 2 for 1. I’ve got a great story of farming success while adapting to changing population demographics.
I’ve also got a great story about taking the negatives of the Coronavirus and turning them into a positive. This article explores the effect of off‐farm income on agricultural production activities, using data from the Mexico National Rural Household Survey.
We first discuss the theoretical conditions under which access to off‐farm income may influence production in an agricultural household by: Statistics Canada reports that by Canadian off-farm income as a percentage of the total income of Canadian farm operators had reached 55%.
Even for very large operators (annual total income of $, or more), 31% of income was from off-farm sources, such as employment, investments, pensions, government social transfers, and so on. In our sample, the farm households adopted DSR and PTR methods on 38% and 62% of the plots, respectively ().The average farm size of rice farmers that adopted DSR method (about mu) is smaller than the farm size of rice farmers that adopted the PTR method (about 6 mu).The average age of household head (HH) using DSR method (about 59 years) is about 4 years older than HH using PTR Author: Wenbiao Sha, Fengbo Chen, Ashok K.
Mishra. They also estimated empirically the relationship between the adoption of those innovations and farm household income from on-farm and off-farm sources. To do that, they expanded the agricultural household model to include the technology-adoption decision and off-farm work-participation decisions by the operator and spouse (Fernandez-Cornejo et.
“The Effect of Off-Farm Income on Farmland Values.” Economic Modelling, Vol. 32, D ’Antoni, J., Ashok K. Mishra, and D. Blayney. “Assessing Participation in the Milk Income Loss Contract Program and its Impact on Milk Production.” Journal of Policy Modeling, Vol.
35(2), Off-farm employment is an important strategy for complementing farm household income and maintaining rural livelihoods.
A multilevel logistic regression model was applied to investigate the effect of farm-level and regional-level factors on off-farm employment in Cyprus during the recent economic crisis period.
The performance of nonfarm sectors positively affects off-farm employment; a one Cited by: 6. The Family Farm Report, Edition is the most recent in the series, providing accurate, detailed, and unbiased information on the structure and finances of U.S.
farms, including the relationship of farm size and type to agricultural production, financial performance, sources of farm household income, and the extent of off-farm work. The. Canadian farmers became increasingly dependent on off-farm work in the s, with nearly half of their earnings coming from it in That trend was greatest for.
and applied technology, as well as occurrence of non-agricultural income were recorded. The structure and farm income of Macedonian farms in –04 was presented upon a sample of farms belonging to different economic sizes and farm types. The results were analysed and interpreted in EU context, by comparison with a panel of EU member countries.
Aditya R. Khanal Assistant Professor Department of Agricultural and Environmental Sciences College of Agriculture Contact Information D Farrell Westbrook Income Risk and Diversification Technology Adoption Food Security, A.
Khanal., and Ashok K. Mishra. Off-Farm Income and its Impact on Food Security: Evidence from South Korea. The source of household income also varied with farm size: As farm size decreased, off-farm income represented a larger share of total household income.
Households operating midsize and large farms (gross cash farm income or GCFI greater than $,) earned the majority of their total household income from their farm operations.Digital agriculture refers to tools that digitally collect, store, analyze, and share electronic data and/or information along the agricultural value chain.
Other definitions, such as those from the United Nations Project Breakthrough, Cornell University, and Purdue University, also emphasize the role of digital technology in the optimization of food systems.Off-farm income is included in the discussion of farm income at the household level at the end of this report.
1 For information on state-level farm income, see “U.S. and State Farm Income and Wealth Statistics,” available as part of the Farm Income and Wealth Statistics, Farm Income and Costs, Farm Economy Topics, Economic Research.