MACSUR Literature Database -- Query Results

	MACSUR Literature Database Home \| Show All \| Simple Search \| Advanced Search	Login Quick Search: Field: contains: ...
	1–5 of 14 records found matching your query (RSS):

Search & Display Options

Select All Deselect All

<< 1 2 3 >>

List View

Citations

Details

	Records
	Author	Banse, M.; Brouwer, F.; Palatnik, R.R.; Sinabell, F.
	Title	The Economics of European Agriculture under Conditions of Climate Change (Editorial)			Type	Journal Article
	Year	2014	Publication	German Journal of Agricultural Economics	Abbreviated Journal	German Journal of Agricultural Economics
	Volume	63	Issue	3	Pages	131-132
	Keywords
	Abstract	This Special Issue on “The Economics of European Agriculture under Conditions of Climate Change” brings together a selection of papers that contribute to the understanding of recent developments related to agriculture and climate change in four European coun- tries. The focus of the Special Issue is on quantitative modeling and empirical analyses. The papers presented here not only cover the heterogeneity of agriculture in Europe with case studies from the Mediterranean (Italy), central (Austria) and north-western Europe (Ireland and Scotland) but also give insights into the diversity of quantitative modeling approaches in agriculture.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium	Editorial material
	Area		Expedition		Conference
	Notes	TradeM, ft_macsur			Approved	no
	Call Number	MA @ admin @			Serial	4763
Permanent link to this record



	Author	Bojar, W.; Knopik, L.; Żarski, J.; Kuśmierek-Tomaszewska, R.
	Title	Integrated assessment of crop productivity based on the food supply forecasting			Type	Journal Article
	Year	2016	Publication	Agricultural Economics – Czech	Abbreviated Journal	Agricultural Economics – Czech
	Volume	61	Issue	11	Pages	502-510
	Keywords	climate changes; decision-making tools; estimation of parameters; forecasted outputs; gamma distribution; predicting yields; climate-change; emissions scenarios; impacts; potato; yield; growth; policy; scale; water
	Abstract	Climate change scenarios suggest that long periods without rainfall will occur in the future often causing instability of the agricultural products market. The aim of our research was to build a model describing the amount of precipitation and droughts for forecasting crop yields in the future. In this study, we analysed a non-standard mixture of gamma and one point distributions as the model of rainfall. On the basis of the rainfall data, one can estimate parameters of the distribution. Parameter estimators were constructed using a method of maximum likelihood. The obtained rainfall data allow confirming the hypothesis of the adequacy of the proposed rainfall models. Long series of droughts allow one to determine the probabilities of adverse phenomena in agriculture. Based on the model, yields of barley in the years 2030 and 2050 were forecasted which can be used for the assessment of other crops productivity. The results obtained with this approach can be used to predict decreases in agricultural production caused by prospective rainfall shortages. This will enable decision makers to shape effective agricultural policies in order to learn how to balance the food supplies and demands through an appropriate management of stored raw food materials and import/export policies.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0139-570x	ISBN		Medium	Article
	Area		Expedition		Conference
	Notes	CropM, TradeM, ft_macsur			Approved	no
	Call Number	MA @ admin @			Serial	4644
Permanent link to this record



	Author	Dono, G.; Raffaele, C.; Luca, G.; Roggero, P.P.
	Title	Income Impacts of Climate Change: Irrigated Farming in the Mediterranean and Expected Changes in Probability of Favorable and Adverse Weather Conditions			Type	Journal Article
	Year	2014	Publication	German Journal of Agricultural Economics	Abbreviated Journal	German Journal of Agricultural Economics
	Volume	63	Issue	3	Pages	177-186
	Keywords	discrete stochastic programming; rdp measures to adapt to climate change; economic impact of climate change; irrigated agriculture and climate change; insurance tools for adaptation to climate change; water markets; risk; variability; management; systems
	Abstract	EU rural development policy (RDP) regulation 1305/2013 aims to protect farmers’ incomes from ongoing change of climate variability (CCV), and the increase in frequency of adverse climatic events. An income stabilization tool (IST) is provided to compensate drastic drops in income, including those caused by climatic events. The present study examines some aspect of its application focussing on Mediterranean irrigation area where frequent water shortages may generate significant income reductions in the current climate conditions, and may be further exacerbated by climate change. This enhanced loss of income in the future would occur due to a change in climate variability. This change would appreciably reduce the probability of weather conditions that are favourable for irrigation, but would not significantly increase either the probability of unfavourable weather conditions or the magnitude of their impact. As the IST and other insurance tools that protect against adversity and catastrophic events are only activated under extreme conditions, farmers may not consider them to be suitable in dealing with the new climate regime. This would leave a portion of the financial resources allocated by the RDP unused, resulting in less support for climate change adaptation.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0002-1121	ISBN		Medium	Article
	Area		Expedition		Conference
	Notes	CropM, TradeM, ft_macsur			Approved	no
	Call Number	MA @ admin @			Serial	4669
Permanent link to this record



	Author	Eory, V.; MacLeod, M.; Shrestha, S.; Roberts, D.
	Title	Linking an economic and a life-cycle analysis biophysical model to support agricultural greenhouse gas mitigation policy			Type	Journal Article
	Year	2014	Publication	German Journal of Agricultural Economics	Abbreviated Journal	German Journal of Agricultural Economics
	Volume	63	Issue		Pages	133-142
	Keywords
	Abstract	Greenhouse gas (GHG) mitigation is one of the main challenges facing agriculture, exacerbated by the increasing demand for food, in particular for livestock products. Production expansion needs to be accompanied by reductions in the GHG emission intensity of agricultural products, if significant increases in emissions are to be avoided. Suggested farm management changes often have systemic effects on farm, therefore their investigation requires a whole farm approach. At the same time, changes in GHG emissions arising offfarm in food supply chains (pre- or post-farm) can also occur as a consequence of these management changes. A modelling framework that quantifies the whole-farm, life-cycle effects of GHG mitigation measures on emissions and farm finances has been developed. It is demonstrated via a case study of sexed semen on Scottish dairy farms. The results show that using sexed semen on dairy farms might be a costeffective way to reduce emissions from cattle production by increasing the amount of lower emission intensity ‘dairy beef’ produced. It is concluded that a modelling framework combining a GHG life cycle analysis model and an economic model is a useful tool to help designing targeted agri-environmental policies at regional and national levels. It has the flexibility to model a wide variety of farm types, locations and management changes, and the LCA-approach adopted helps to ensure that GHG emission leakage does not occur in the supply chain.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium	Article
	Area		Expedition		Conference
	Notes	TradeM			Approved	no
	Call Number	MA @ admin @			Serial	4670
Permanent link to this record



	Author	Gutierrez, L.; Piras, F.; Roggero, P.P.
	Title	A global vector autoregression model for the analysis of wheat export prices			Type	Journal Article
	Year	2015	Publication	American Journal of Agricultural Economics	Abbreviated Journal	American Journal of Agricultural Economics
	Volume	97	Issue	5	Pages	1494-1511
	Keywords	Global dynamic models; price analysis; wheat market; lagged dependent-variables; commodity-markets; error-correction; food-prices; unit-root; regressors; tests; cointegration; dynamics; time
	Abstract	Food commodity price fluctuations have an important impact on poverty and food insecurity across the world. Conventional models have not provided a complete picture of recent price spikes in agricultural commodity markets, and there is an urgent need for appropriate policy responses. Perhaps new approaches are needed to better understand international spill-overs, the feedback between the real and the financial sectors, as well as the link between food and energy prices. In this article, we present the results from a new worldwide dynamic model that provides the short and long-run impulse responses of the international wheat price to various real and financial shocks.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0002-9092 1467-8276	ISBN		Medium	Article
	Area		Expedition		Conference
	Notes	TradeM, ft_macsur			Approved	no
	Call Number	MA @ admin @			Serial	4658
Permanent link to this record