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Monday, July 13, 2020 | History

2 edition of Effects of aggregation error on analysis of agricultural production potential found in the catalog.

Effects of aggregation error on analysis of agricultural production potential

John D Sutton

Effects of aggregation error on analysis of agricultural production potential

by John D Sutton

  • 68 Want to read
  • 30 Currently reading

Published by U.S. Dept. of Agriculture, Economic Research Service, National Technical Information Service, distributor] in Washington, D.C, [Springfield, VA .
Written in English

    Subjects:
  • Agricultural productivity -- Mathematical models,
  • Soil productivity -- Mathematical models,
  • Linear programming

  • Edition Notes

    StatementJohn D. Sutton
    SeriesTechnical bulletin -- no. 1677, Technical bulletin (United States. Dept. of Agriculture) -- no. 1677
    ContributionsUnited States. Dept. of Agriculture. Economic Research Service
    The Physical Object
    Paginationii, 42 p. :
    Number of Pages42
    ID Numbers
    Open LibraryOL14838037M

    Downloadable! We investigate biases in farm-level yield risk analysis caused by data aggregation from the farm-level to regional and national levels using the example of Swiss wheat and barley yields. The estimated yield variability decreases significantly with increasing level of aggregation, with crop yield variability at the farm-level being up to times higher than indicated from. Economic analysis of agricultural projects (English) Abstract. Increasing the growth and efficiency of the agricultural and rural sectors of the developing countries is of prime concern to the international community. The large quantities of scarce resources, both .

    Carlo Fezzi & Ian Bateman, "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farmland Values," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages Handle: RePEc:ucp:jaerec:doi/ DOI: / An aggregate in economics is a summary measure. The aggregation problem is the difficult problem of finding a valid way to treat an empirical or theoretical aggregate as if it reacted like a less-aggregated measure, say, about behavior of an individual agent as described in general microeconomic theory. Examples of aggregates in micro- and macroeconomics relative to less aggregated.

    The prevailing discourse on the future of agriculture is rife with the assertion that food production must increase dramatically—potentially doubling by —to meet surging demand. Many authors also call for agriculture to become more environmentally sustainable, . Agricultural intensity and its spatial aggregation. Agricultural intensity is defined as increased utilisation or productivity of land [] and therefore can be described using either output-oriented (i.e., production) or input-oriented (i.e., utilisation) measures [37, 38].We used an input-oriented measure of intensity, the Input Cost per hectare (IC/ha) intensity indicator, where IC is.


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Effects of aggregation error on analysis of agricultural production potential by John D Sutton Download PDF EPUB FB2

COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

Factors leading to Agricultural Production Aggregation and Facilitation of the Linkage of Farmers to Remunerative Markets Potential benefits from POs contractual arrangements or other forms of support lead to production aggregation, and facilitate the linking of.

The aim of this paper is to provide quantitative answers to the above questions using a general-equilibrium framework. At a qualitative level, there is an accepted answer to the first question: poor countries have a large share of employment in agriculture because they have what Schultz () characterized as the “food problem.” Due to low labor productivity, these countries have to Cited by: Alternatively, the effect could be attributed to the 'aggregation problem', where statistical results are prone to errors and biases due to loss of locational information further up the aggregate.

Agricultural production is the product of yield (t/ha) and area harvested (ha), i.e. fluctuations in both variables have effects on fluctuations in crop production. We tested to which extent yield fluctuations due to variations in climate conditions and extreme events translate into production anomalies at the regional and global by: Global poultry meat production 28 The contribution of various meats to the global increase in meat production 32 The impact of sanitary and phytosanitary measures 33 Major industry players 33 Global trade in poultry meat 35 Prices of broiler meat 38 5.

LAYING HENS FOR EGG PRODUCTION 39 Raising egg-laying hens Agricultural Production Function Analysis Agricultural production is the process of transforming agricultural resources into a form that will give us maximum satisfaction.

Agricultural production decisions are, in effect decision making in the allocation of scarce resources. These resources are scarce and, therefore a choice has to be made in their use with the ultimate objectives [ ]. Mandlebaum, J. Nriagu, in Encyclopedia of Environmental Health, Conclusions.

Changing agricultural practices can create a potential sink that can be used to moderate the increasing trend in atmospheric concentrations of CO 2 while better energy and lifestyle solutions to reduce emissions are being developed.

The effects of this strategy on other greenhouse gases, soil functions, and. agrarian policies and agricultural production during the derg regime ().

53 agrarian policies and agricultural production during the ethiopian people’s revolutionary and democratic. Book Detail: Statistics with Practicals Language: English Pages: Author: TNAU Price: Free Outlines of Statistics Data – definition – Collection of data – Primary and secondary data – Classification of data – Qualitative and quantitative data Diagrammatic representation of data – uses and limitations – simple, Multiple, Component and percentage bar diagrams – pie chart.

The effect of an increase in agricultural income on distribution need not match this prediction, however. If, for example, workers can cost-lessly change sectors, then we’d predict that an increase in agricultural income would instead accrue to the owners of immobile factors involved in agricultural production.

Aggregated Markets are the heart of our innovation and they: Provide better value Increase profitability Foster inclusion Decrease risk Aggregation brings together small farmers and buyers to achieve economies of scale, create market signal, and provide access to adjacencies in order to reduce friction with other third party ecosystem partner marketplace such as financial services.

Intensive agricultural production practices are known to cause far-reaching effects on water quality. The current paper addresses and quantifies these effects caused by high stocking rates.

The central role of agricultural productivity in the economic and social agenda of developing countries was reinforced by the Malabo Declaration of June ,2 which puts agricultural productivity growth at the centre of the objective of Africa to achieve agriculture-led growth and fulfil its targets on food and nutrition security.

Plausible estimates of climate change impacts on agriculture require integrated use of climate, crop, and economic models. We investigate the contribution of economic models to uncertainty in this impact chain. In the nine economic models included, the direction of management intensity, area, consumption, and international trade responses to harmonized crop yield shocks from climate change.

The goal of the global agribusiness value chain, which spans input companies through to the final consumer1 and has a total value of around US$5 trillion, is to provide sustainable access to affordable food, feed, fibre and, more recently, fuel.

However, this goal is getting harder to achieve every year due to. on agricultural production. Roughly 17% of GDP was derived from agriculture in Sub-Saharan Africa inwith this fraction in excess of 50% in some countries [2]. Given the central role of agriculture, and the unprecedented changes in climate anticipated over the next few decades in the region [3–6], there is a need to understand possible.

Long-term, national studies are needed to understand the aggregate climate effects on agricultural growth patterns in the past, and to more credibly project future changes. Currently, impact analyses of the potential economic consequences of climate change often refer to results from integrated assessment models (IAMs), which use functions that.

potential effects on humans and wildlife. Transport by air and water-soil mixtures are the two primary ways for compounds to travel from agricultural lands into surrounding environments. Effects of agricultural chemicals can vary widely depending on local. Aggregate demand is the total amount of demand that an economy has, while aggregate supply is the total amount of supply an economy is capable of producing.

The Curves That's quite a bit of power. Soil aggregate stability is a measure of the ability of soil aggregates to resist degradation when exposed to external forces such as water erosion and wind erosion, shrinking and swelling processes, and tillage (Papadopoulos, ; USDA, ).Soil aggregate stability is a measure of soil structure (Six et al., a) and can be impacted by soil management (Six et al.,   These yield increases are not due to higher genetic yield potential, but to more effective pest control and thus lower crop damage.

At the same time, GM crops have reduced pesticide quantity by 37% and pesticide cost by 39%. The effect on the cost of production is not significant.

In agriculture sector where farmers and agribusinesses have to make innumerable decisions every day and intricate complexities involves the various factors influencing them.

An essential issue for agricultural planning intention is the accurate yield estimation for the numerous crops involved in the planning. Data mining techniques are necessary approach for accomplishing practical and.