A “Sideways” Supply Response in California Winegrapes

2021 ◽  
pp. 1-22
Author(s):  
Sarah Consoli ◽  
Elizabeth A. Fraysse ◽  
Natalya Slipchenko ◽  
Yi Wang ◽  
Jahon Amirebrahimi ◽  
...  
Keyword(s):  
Central Valley ◽  
Pinot Noir ◽  
Negative Response ◽  
Difference In Difference ◽  
Department Of Agriculture ◽  
Demand Shock ◽  
Supply Response ◽  
Jel Classifications ◽  
Wine Demand

Abstract This paper explores growers’ supply response to the 2005 “Sideways effect” demand shock (Cuellar, Karnowsky, and Acosta, 2009) triggered by the 2004 release of the movie Sideways. We use a modified difference-in-difference approach to evaluate the supply response in California and regional supply response differences within California. We use U.S. Department of Agriculture data for the period 1999–2012 and find evidence of a supply response in the post-release period that is consistent with the “Sideways effect” on wine demand. The positive supply response for Pinot Noir is stronger than the negative response for Merlot and concentrated in lower value Central Valley vineyards. (JEL Classifications: D25, Q12)

Opinions versus Facts: A Bio-statistical Paradigm Shift in Oenological Research

2017 ◽  
Vol 12 (4) ◽  
pp. 354-362
Author(s):  
Dom Cicchetti
Keyword(s):  
Paradigm Shift ◽  
Scientific Research ◽  
Pinot Noir ◽  
Cabernet Sauvignon ◽  
Cabernet Franc ◽  
Diagnostic Research ◽  
Jel Classifications

AbstractA substantial oenological literature exists on opinions of experts and neophytes as they relate to opinions about the quality of wines (Ashenfelter and Quandt, 1998; Cicchetti, 2004; Lindley, 2006). These opinions can be contrasted with factual binary questions about wine: Is it oaked? Does it contain sulfites? Is it filtered? Is the grape varietal Cabernet Sauvignon or Cabernet Franc? Syrah or Grenache? Pinot Noir or Gamay? Such factual binary issues are examined within the broader context of the various measures of factual judgment: Overall Accuracy (OA), Sensitivity (Se), Specificity (Sp), Predicted Positive Accuracy (PPA), and Predicted Negative Accuracy (PNA). The resulting biostatistical methodology derives from biobehavioral diagnostic research investigations. The purpose of this report is to apply this methodology to the discipline of oenology to compare wine judgments with wine facts. Using hypothetical examples, wine judges’ classifications of wines as oaked or unoaked were analyzed for their degree of accuracy. The results show that OA is a poor measure of the accuracy of binary judgments relative to Se, Sp, PPA, or PNA. The biostatistics of the problem could have wide-ranging applications in the design of future oenological research investigations, and in scientific research more broadly. (JEL Classifications: C1, L15, Q13)

scholarly journals Estimating the Value of California Wine Grapes

2017 ◽  
Vol 12 (2) ◽  
pp. 149-160 ◽  
Author(s):  
Olena Sambucci ◽  
Julian M. Alston
Keyword(s):  
Accurate Estimate ◽  
Average Price ◽  
Wine Grapes ◽  
Department Of Agriculture ◽  
Weighted Averages ◽  
Major Industry ◽  
Source Of Information ◽  
The U.S ◽  
Jel Classifications ◽  
Current Mechanism

AbstractThe California Grape Crush Report (Crush Report) is an authoritative source of information on production and returns per ton by variety of wine grapes that includes summaries of quantities produced and estimates of the average prices and value of wine grapes crushed in California. The data provided in the Crush Report are used to calculate the total value of wine grape production as reported in the annual Agricultural Statistics reports published by the U.S. Department of Agriculture and in major industry publications. We use the differences among crush districts in the shares of production crushed to growers’ accounts to show that the current mechanism of calculating average statewide returns per ton understates the true total value of the crush by 14 to 20 percent. We show that a more accurate estimate of the total value and average price can be obtained if the prices of the wine grapes that are sold are used to infer the prices of wine grapes that are not sold before computing the weighted averages. (JEL Classifications: Q20, Q11, Q13, Q19)

scholarly journals The Grape Remote Sensing Atmospheric Profile and Evapotranspiration Experiment

2018 ◽  
Vol 99 (9) ◽  
pp. 1791-1812 ◽  
Author(s):  
William P. Kustas ◽  
Martha C. Anderson ◽  
Joseph G. Alfieri ◽  
Kyle Knipper ◽  
Alfonso Torres-Rua ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Plant Stress ◽  
Remote Sensing Data ◽  
Central Valley ◽  
Pinot Noir ◽  
Canopy Architecture ◽  
Large Area ◽  
Water Users ◽  
Atmospheric Profile ◽  
The Impact

AbstractParticularly in light of California’s recent multiyear drought, there is a critical need for accurate and timely evapotranspiration (ET) and crop stress information to ensure long-term sustainability of high-value crops. Providing this information requires the development of tools applicable across the continuum from subfield scales to improve water management within individual fields up to watershed and regional scales to assess water resources at county and state levels. High-value perennial crops (vineyards and orchards) are major water users, and growers will need better tools to improve water-use efficiency to remain economically viable and sustainable during periods of prolonged drought. To develop these tools, government, university, and industry partners are evaluating a multiscale remote sensing–based modeling system for application over vineyards. During the 2013–17 growing seasons, the Grape Remote Sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX) project has collected micrometeorological and biophysical data within adjacent pinot noir vineyards in the Central Valley of California. Additionally, each year ground, airborne, and satellite remote sensing data were collected during intensive observation periods (IOPs) representing different vine phenological stages. An overview of the measurements and some initial results regarding the impact of vine canopy architecture on modeling ET and plant stress are presented here. Refinements to the ET modeling system based on GRAPEX are being implemented initially at the field scale for validation and then will be integrated into the regional modeling toolkit for large area assessment.

Pacific Pinot Noir

2008 ◽  
Author(s):  
John Winthrop Haeger
Keyword(s):  
Pinot Noir

Hydrogeological responses in tropical mountainous springs

2019 ◽  
Author(s):  
Ricardo Sánchez-Murillo
Keyword(s):  
Costa Rica ◽  
Isotope Composition ◽  
Central Valley ◽  
Distribution Functions ◽  
Geochemical Composition ◽  
Transit Times ◽  
Management Plans ◽  
Best Fit ◽  
Term Data

This study presents a hydrogeochemical analysis of spring responses (2013-2017) in the tropical mountainous region of the Central Valley of Costa Rica. The isotopic distribution of δ18O and δ2H in rainfall resulted in a highly significant meteoric water line: δ2H = 7.93×δ18O + 10.37 (r2=0.97). Rainfall isotope composition exhibited a strong dependent seasonality. The isotopic variation (δ18O) of two springs within the Barva aquifer was simulated using the FlowPC program to determine mean transit times (MTTs). Exponential-piston and dispersion distribution functions provided the best-fit to the observed isotopic composition at Flores and Sacramento springs, respectively. MTTs corresponded to 1.23±0.03 (Sacramento) and 1.42±0.04 (Flores) years. The greater MTT was represented by a homogeneous geochemical composition at Flores, whereas the smaller MTT at Sacramento is reflected in a more variable geochemical response. The results may be used to enhance modelling efforts in central Costa Rica, whereby scarcity of long-term data limits water resources management plans.

The Birth, Growth and Future of Systems Approach

2020 ◽  
Vol 31 (3) ◽  
pp. 113-114
Author(s):  
Nelson Laville ◽  
Kenrick Witty ◽  
Ulises Garcia
Keyword(s):  
United States ◽  
Systems Approach ◽  
Agricultural Research ◽  
United States Department ◽  
Department Of Agriculture ◽  
States Department ◽  
Global Team ◽  
Video Link ◽  
Agricultural Research Service ◽  
Research Service

The Beyond Compliance Global team held an interview by video link with Dr Eric Jang, United States Department of Agriculture, Agricultural Research Service (USDA/ARS), now retired. His lab was based in Hawaii, where he continues to reside. Eric was an early advocate and one of the originators of the concepts for Systems Approach.

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