Assessing the impact of agro-climatic factors and farm characteristics on the yield variation of the Norwegian fruit sector. Marton, T. 2016.
Assessing the impact of agro-climatic factors and farm characteristics on the yield variation of the Norwegian fruit sector [link]Slides  abstract   bibtex   1 download  
Main drivers of ag. yields:–Technology–R&D (new hybrids etc.)–Weather–Etc.•Common sense and anecdotal observations (remember the Tromsø presentation) revealed extreme events tended to impact wide geographic areas•This was called the «systemic» nature of agriculture No semi-aggregation  farm-level•Not the boring corn, maize, wheat  fruits•No OLS-like Pearson correlation or functional form approach for conditioning spatial correlations on weather  SDM•Finally, if we are smart enough to set the explanatory proxies in a meaningful way presumably we can make the distinction between the effects of, say draught and extreme heat.•And much more in policy relevance
@Conference {Marton2016, 
author = {Marton, Tibor}, 
editor = {}, 
title = {Assessing the impact of agro-climatic factors and farm characteristics on the yield variation of the Norwegian fruit sector}, 
booktitle = {TradeM International Workshop, 2016-10-09 to 2016-10-12, Tromsø–Trondheim, Norway}, 
volume = {In: Assessing climate change adaptation and mitigation options }, 
publisher = {}, 
address = {}, 
year = {2016}, 
url_Slides = {http://ojs.macsur.eu/index.php/Reports/article/view/SP9-5}, 
abstract = {Main drivers of ag. yields:–Technology–R&D (new hybrids etc.)–Weather–Etc.•Common sense and anecdotal observations (remember the Tromsø presentation) revealed extreme events tended to impact wide geographic areas•This was called the «systemic» nature of agriculture No semi-aggregation  farm-level•Not the boring corn, maize, wheat  fruits•No OLS-like Pearson correlation or functional form approach for conditioning spatial correlations on weather  SDM•Finally, if we are smart enough to set the explanatory proxies in a meaningful way presumably we can make the distinction between the effects of, say draught and extreme heat.•And much more in policy relevance}, 
note = { }, 
keywords = {}, 
type = {}}
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