Diotallevi, Francesco and Stasi, Antonio (2010): La domanda di olio extra-vergine di oliva nel Sud Italia.Quali le migliori strategie:brand leadership, private label o piccoli produttori? Published in: Book: Strategie di adattamento al mercato delle piccole e medie imprese olearie
Download (501Kb) | Preview
The extra-virgin olive oil, in the rural economy of our country, is taking an increasingly important role. The increasing price volatility due to the opening of markets and the competitive relationship with other producing countries, the increase in demand for quality products, along with consumer requirements in terms of quality and assurance, manufacturing companies are heading to make choices of major structural order to maintain or improve their competitive position.
|Item Type:||MPRA Paper|
|Original Title:||La domanda di olio extra-vergine di oliva nel Sud Italia.Quali le migliori strategie:brand leadership, private label o piccoli produttori?|
|English Title:||The extra-virgin olive oil demand in South Italia.Whic are best strategies: leadership brands, private labels or small producers?|
|Keywords:||olive oil, south Italy, market strategies|
|Subjects:||A - General Economics and Teaching > A1 - General Economics > A13 - Relation of Economics to Social Values
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q1 - Agriculture > Q13 - Agricultural Markets and Marketing; Cooperatives; Agribusiness
|Depositing User:||Francesco Diotallevi|
|Date Deposited:||17. Aug 2012 07:19|
|Last Modified:||22. Feb 2013 05:20|
NEIO, A. (2001), Market Power in the Ready-to-Eat Cereal Industry, in Econometrica, 69(2):307-342.
BONANNO, A. (2009), Functional Food as Differentiated Product. The Pennsylvania State Uni-versity, University Park, PA. RR 113.
ABADIA A., 1985, Income distribution and composition of consumer demand in the Spanish economy, European Economic Review, 29: 1-13.
ALSTON J.M., Chalfant J.A., N.E. Piggott, (2001), Incorporating Demand Shifters in the Al-most Ideal Demand System, in Economics Letters, 70: 73-78.
ANDERSON G.J., BLUNDELL R.W., (1982), Estimation and Hypothesis Testing in Dynamic Sin-gular Equation Systems, in Econometrica, 50: 1559-1571.
BEN KAABIA M., GIL J.M., (2001), Estimation and Inference in Cointegrated Demand Systems: An Application to Tunisian Meat Consumption, in European Review of Agricultural Eco-nomics, 28: 349-370.
BEWLEY R.A., (1982), On the functional form of Engel Curves: the Australian household expe-diture survey 1975-1976, in Economic record, 58: 82-91.
BLANCIFORTI L., (1984), Habits and autocorrelation in the almost ideal demand system applied to food, ERS staff report - United States Dept. of Agriculture, Economic Research Service, USA.
BLANCIFORTI L., GREEN R., (1983), "n Almost Ideal Demand System Incorporating Habits: An Analysis of Expenditures on Food and Aggregate Commmodity Groups, in Review of Eco-nomics and Statistics, 65: 511-515.
BOLLINO C.A., (1987), GAIDS: A Generalized Version of the Almost Ideal Demand System, in Economics Letters, 23: 199-202.
BRONNENBERG J., DHAR S.K., DUBÉ J.P., (2007), Consumer packaged goods in the United States: national brands, local branding, in Journal of marketing research, 44, 1: 4-13.
BURTON M., YOUNG T., (1992), The structure of changing tastes for meat and fish in Great Britain, in European Review of Agricultural Economics, 19: 165-180.
CAPPUCCIO N., ORSI R., (1991), Econometria, Il Mulino, Bologna.
COTTERIL R.W., RONALD W., (1994), Scanner Data: new opportunities for demand and com-petitive strategy analysis, in Agricultrural and Resource Economics Review, 23: 125-139.
DEATON A., (1986), Demand Analysis, in Handbook of Econometrics, 30: 1767-1839.
DEATON A., (1988), Quality, Quantity, and Spatial Variation of Price, in American Economic Review, 78: 418-430.
DEATON A., (1985), Panel data from time series of cross-section, in Journal of Econometrics, 30: 109-126.
DEATON A., MUELLBAUER J., (1980B), Economics and Consumer Behaviour, Cambridge Uni-versity Press, Cambridge.
DEATON, A., MUELLBAUER J., (1980A), An Almost Ideal Demand System, in American Eco-nomic Review, 70: 312-326.
GARCIA MARTINES M, ARAGONES Z., POOLE N., (2002), A repositioning strategy for olive oil in the UK market, in Agribusiness, 18, 2: 163-180.
HANF J.H., KUHL R., (2005), Branding and its consequences for German agribusiness, in Agri-business, 21, 2: 177-189.
KOHLS R., UHL J., (2001), Marketing of agricultural products, MacMillan, New York.
LESER C.E.V., (1963), Forms of Engel Functions, in Econometrica, 4: 694-703.
LAU L.J., (1986), Functional forms in econometric model building, in Handbook of Economet-ric, Stanford University.
LOURIERO M.L., MCCLUSKEY J.J., (2000), Assessing consumer response to pretected geograph-ical identification labelling, in Agribusiness, 16, 3: 309-320.
MORO D., (2002), Analisi della domanda. Teoria e metodi, Franco Angeli Editore.
Moro D., Moschini G., (1996), A Separable Almost Ideal Demand System, in Rivista Interna-zionale di Scienze Economiche e Commerciali, 43: 537-562.
MUELLBAUER J., (1975), Aggregation, income distribution and consumer demand, in The Re-view of economics Studies, 42: 525-543.
MUELLBAUER J., (1976), Community preferences and the representative consumer, in Econo-metrica, 44: 979-999.
SAMUELSON P.A., (1938), A note of the pure theory of consumer’s behaviour, in Economica, 61: 131-142.
UYS P.W., (1986), Demand for meat in south Africa: a non additive dynamic linear expenditure model, in South African Journal of Economics, 35: 1-10.
VAN IMHOFF E., (1984), Estimation of demand systems using both time series and cross section data, in De economist, 4: 419-439.
VARIAN H., (1985), Non-parametric analysis of optimizing behaviour with measurement error, in Journal of Econometrics, 30: 445-458.
WARD R.W., DAVIS J.E., (1978), A pooled cross-section time series model of coupon promotional, in American Journal of Agricultural Economics, 60,3:393-401.
WORKING H., (1943), Statistical laws of family expenditure, in Journal of the American Statistical Association, 221: 43-56.
ZELLNER A., (1962). An efficient method of estimating seemingly unrelated regression equations and tests for aggregation bias, in Journal of the American Statistical Association 57: 348–368.