scholarly journals Determinants of Wineries’ Decisions to Seek VQA Certification in the Canadian Wine Industry

2016 ◽  
Vol 12 (1) ◽  
pp. 16-36 ◽  
Author(s):  
Albert I. Ugochukwu ◽  
Jill E. Hobbs ◽  
Joel F. Bruneau

AbstractThe establishment of quality assurance systems is an important development in the wine sector, particularly so for new and emerging wine regions. Focusing on the Canadian wine industry, this article examines the determinants of a winery's decision to adopt Vintners Quality Alliance (VQA) certification for wines. The analysis also examines whether wineries seek VQA certification for higher-priced wines or whether VQA certification leads to higher wine prices. To examine the certification decision, a probit model is applied to a detailed data set of Canadian wines sold in Ontario over the period 2007–2012. Wines from wineries that supply large volumes of wines (more than 1,000 cases) are more likely to have VQA certification, as well as ice wines and wines from specific regions. A Hausman specification test for endogeneity suggests that VQA certification leads to higher wine prices and not the other way around. (JEL Classifications: D22, L15, L66, Q13)

2018 ◽  
Vol 13 (4) ◽  
pp. 451-460 ◽  
Author(s):  
Joël Aka ◽  
Adeline Alonso Ugaglia ◽  
Jean-Marie Lescot

AbstractThis paper studies the risk attitudes of winegrowers in France. In French viticulture, most of the production is done under an appellation regime that constrains maximum authorized yields. We consider a trans-log cost function under the constraint of this maximum yield and estimate winegrowers' attitudes to risk. Our estimates are based on the European Farm Accountancy Data Network database (2005–2014) and data from the French National Institute of Origin and Quality. We find that winegrowers are risk averse. For the majority of winegrowers, risk aversion is declining with expected profit. In the Champagne region, however, where expected profits are far higher than in the other regions, we observe the reverse relation: winegrowers become more risk averse as expected profits rise. (JEL Classifications: C13, C33, O33, Q16).


2019 ◽  
Vol 14 (01) ◽  
pp. 90-113 ◽  
Author(s):  
Andrea Minuto Rizzo

AbstractIn recent years, several European antitrust authorities intervened in the wine sector to authorize mergers and acquisitions, provide opinions to governments, and ascertain anticompetitive agreements. This article analyzes these interventions in the context of an evolving regulatory framework. I draw conclusions about the direction of competition policy, in particular in relation to possible co-operations among various players in the wine industry. (JEL Classifications: K21, L40, L51)


2014 ◽  
Vol 9 (1) ◽  
pp. 3-33 ◽  
Author(s):  
Giulia Meloni ◽  
Johan Swinnen

AbstractThis paper analyzes the causes of the rise and the fall of the Algerian wine industry. It is hard to imagine in the twenty-first century global wine economy, but until about 50 years ago Algeria was the largest exporter of wine in the world—and by a wide margin. Between 1880 and 1930 Algerian wine production grew dramatically. Equally spectacular was the decline of Algerian wine production: today, Algeria produces and exports little wine. There was an important bidirectional impact between developments in the Algerian wine sector and French regulations. French regulations had a major impact on the Algerian wine industry, and the growth of the Algerian wine industry triggered the introduction of important wine regulations in France at the beginning of the twentieth century and during the 1930s. Important elements of these regulations are still present in European wine policy today. (JEL Classifications: K23, L51, N44, N54, Q13)


Author(s):  
Ngoc Anh Nguyen

The analysis of a data set of observation for Vietnamese banks in period from 2011 - 2015 shows how Capital Adequacy Ratio (CAR) is influenced by selected factors: asset of the bank SIZE, loans in total asset LOA, leverage LEV, net interest margin NIM, loans lost reserve LLR, Cash and Precious Metals in total asset LIQ. Results indicate based on data that NIM, LIQ have significant effect on CAR. On the other hand, SIZE and LEV do not appear to have significant effect on CAR. Variables NIM, LIQ have positive effect on CAR, while variables LLR and LOA are negatively related with CAR.


2021 ◽  
Vol 2021 (5) ◽  
Author(s):  
M. Ablikim ◽  
◽  
M. N. Achasov ◽  
P. Adlarson ◽  
S. Ahmed ◽  
...  

Abstract The decays D → K−π+π+π− and D → K−π+π0 are studied in a sample of quantum-correlated $$ D\overline{D} $$ D D ¯ pairs produced through the process e+e− → ψ(3770) → $$ D\overline{D} $$ D D ¯ , exploiting a data set collected by the BESIII experiment that corresponds to an integrated luminosity of 2.93 fb−1. Here D indicates a quantum superposition of a D0 and a $$ {\overline{D}}^0 $$ D ¯ 0 meson. By reconstructing one neutral charm meson in a signal decay, and the other in the same or a different final state, observables are measured that contain information on the coherence factors and average strong-phase differences of each of the signal modes. These parameters are critical inputs in the measurement of the angle γ of the Unitarity Triangle in B− → DK− decays at the LHCb and Belle II experiments. The coherence factors are determined to be RK3π = $$ {0.52}_{-0.10}^{+0.12} $$ 0.52 − 0.10 + 0.12 and $$ {R}_{K{\pi \pi}^0} $$ R K ππ 0 = 0.78 ± 0.04, with values for the average strong-phase differences that are $$ {\delta}_D^{K3\pi }=\left({167}_{-19}^{+31}\right){}^{\circ} $$ δ D K 3 π = 167 − 19 + 31 ° and $$ {\delta}_D^{K{\pi \pi}^0}=\left({196}_{-15}^{+14}\right){}^{\circ} $$ δ D K ππ 0 = 196 − 15 + 14 ° , where the uncertainties include both statistical and systematic contributions. The analysis is re-performed in four bins of the phase-space of the D → K−π+π+π− to yield results that will allow for a more sensitive measurement of γ with this mode, to which the BESIII inputs will contribute an uncertainty of around 6°.


2021 ◽  
pp. 245513332110316
Author(s):  
Tiken Das ◽  
Pradyut Guha ◽  
Diganta Das

This study made an attempt to answer the question: Do the heterogeneous determinants of repayment affect the borrowers of diverse credit sources differently? The study is based on data collected from 240 households from three districts in the lower Brahmaputra valley of Assam through a carefully designed primary survey. Besides, the study uses the double hurdle approach and the instrumental variable probit model to reduce possible selection bias. It observes better repayment performance among formal borrowers, followed by semiformal borrowers, while occupation wise it is prominent among organised employees. It has been found that in general, the household characteristics, loan characteristics and location-specific characteristics significantly affect repayment performance of borrowers. However, the nature of impact of the factors influencing repayment performance is remarkably different across credit sources. It ignores the role of traditional community-based organisations in rural Assam while analysing the determinants of repayment performance. The study also recommends for ensuring productive opportunities and efficient market linkages in rural areas of Assam. The study is based on an original data set that has specially been collected to examine question that—do the heterogeneous determinants of repayment affect the borrowers of diverse credit sources differently in the lower Brahmaputra valley of Assam—which has not been studied before.


2000 ◽  
Vol 83 (6) ◽  
pp. 1429-1434
Author(s):  
Robert J Blodgett ◽  
Anthony D Hitchins

Abstract A typical qualitative microbiological method performance (collaborative) study gathers a data set of responses about a test for the presence or absence of a target microbe. We developed 2 models that estimate false-positive and false-negative rates. One model assumes a constant probability that the tests will indicate the target microbe is present for any positive concentration in the test portion. The other model assumes that this probability follows a logistic curve. Test results from several method performance studies illustrate these estimates.


2020 ◽  
pp. 056943452096825
Author(s):  
Laurie A. Miller ◽  
James R. Schmidt

This study examined how weekly, externally set deadlines affected the completion of adaptive learning assignments and student outcomes in an introductory macroeconomics course. We imposed different deadline schemes for the same adaptive learning assignments in two sections of the course. One section was given flexible deadlines and the other section was given rigid weekly deadlines. We found that weekly deadlines did not affect assignment completions or total points earned on unit exams. We investigated how the adaptive learning assignments affected student retention of material. A measure of staying on pace in the course provided a positive effect on the comprehensive final exam for students with weekly deadlines. The weekly deadlines may not have influenced assignment completions but consistent engagement with the flow of topics through the course increased student knowledge retention. Regardless of deadline type, completions of adaptive learning assignments positively affected outcomes on the unit exams and final exam. JEL Classifications: A20, A22


1987 ◽  
Vol 58 (4) ◽  
pp. 119-124 ◽  
Author(s):  
Gail M. Atkinson ◽  
David M. Boore

Abstract A stochastic model of ground motion has been used as a basis for comparison of data and theoretically-predicted relations between mN (commonly denoted by mbLg) and moment magnitude for eastern North America (ENA) earthquakes. mN magnitudes are recomputed for several historical ENA earthquakes, to ensure consistency of definition and provide a meaningful data set. We show that by itself the magnitude relation cannot be used as a discriminant between two specific spectral scaling relations, one with constant stress and the other with stress increasing with seismic moment, that have been proposed for ENA earthquakes.


2005 ◽  
Vol 65 (1) ◽  
pp. 129-139 ◽  
Author(s):  
M. A. H Penna ◽  
M. A Villacorta-Corrêa ◽  
T. Walter ◽  
M. Petrere-JR

In order to decide which is the best growth model for the tambaqui Colossoma macropomum Cuvier, 1818, we utilized 249 and 256 length-at-age ring readings in otholiths and scales respectively, for the same sample of individuals. The Schnute model was utilized and it is concluded that the Von Bertalanffy model is the most adequate for these data, because it proved highly stable for the data set, and only slightly sensitive to the initial values of the estimated parameters. The phi' values estimated from five different data sources presented a CV = 4.78%. The numerical discrepancies between these values are of not much concern due to the high negative correlation between k and L<FONT FACE=Symbol>¥</FONT> viz, so that when one of them increases, the other decreases and the final result in phi' remains nearly unchanged.


Sign in / Sign up

Export Citation Format

Share Document