本文選題：繪畫藝術(shù)品　切入點：中國畫　出處：《湖南大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：藝術(shù)品市場是文化產(chǎn)業(yè)中的重要組成部分,繪畫作品市場占據(jù)藝術(shù)品市場中最主要的份額。藝術(shù)品作為典型的異質(zhì)產(chǎn)品,國外學(xué)者以定量研究方法為主,利用特征價格模型對藝術(shù)品價格及單個藝術(shù)家作品價格的特征因素構(gòu)成進行研究。目前中國相關(guān)研究未能系統(tǒng)展開,特別是運用特征價格模型研究繪畫藝術(shù)品價格的研究成果很少。本文首先梳理了國內(nèi)外常用的繪畫作品價格方法。然后根據(jù)雅昌藝術(shù)網(wǎng)中國畫市場拍賣數(shù)據(jù),結(jié)合中國畫壇和拍賣市場的具體情況,選取藝術(shù)作品特征、藝術(shù)家特征、拍賣機構(gòu)特征三個層次的9個特征變量作為影響繪畫藝術(shù)品價格的因素,通過數(shù)據(jù)整合分類和量化處理,最終建立中國繪畫藝術(shù)品價格模型。通過該模型和數(shù)據(jù)的收集,估算出這些特征變量的價格系數(shù),驗證了中國繪畫藝術(shù)品價格與特征變量之間的關(guān)系,并將中國繪畫藝術(shù)品價格模型應(yīng)用于實踐。本文主要得出以下結(jié)論:在得到的價格模型中,通過檢驗將“藝術(shù)家創(chuàng)作年齡”特征變量從方程剔除;10位藝術(shù)家的繪畫作品中,吳冠中的作品價格最高,白雪石最低;對作品價格模型系數(shù)的研究表明,“尺寸”對價格影響最大,“著錄”次之,“畫齡”第三,“拍賣日期”影響較小;在作品題材中,山水畫題材價格最高,人物畫題材較花鳥畫題材稍顯優(yōu)勢;已經(jīng)去世的藝術(shù)家作品價格普遍較高;香港佳士得拍出的作品價格最高;2010-2014年間創(chuàng)作的作品售價最高;在模型的實際運用中,陳佩秋個人作品數(shù)據(jù)的差值占實際成交價對數(shù)值的0.1%,價格估算準(zhǔn)確度最高。繪畫藝術(shù)品價格還受到宏觀因素、藝術(shù)家和藝術(shù)作品因素、收藏和投資者的非理性因素的影響。
[Abstract]:The art market is an important part of the cultural industry, and the art market occupies the most important share of the art market. As a typical heterogeneous product, foreign scholars focus on quantitative research methods. Using the feature price model to study the characteristic factors composition of the art price and the price of a single artist's work. At present, the relevant research in China has not been carried out systematically. In particular, there are few research results on the price of painting art using the characteristic price model. This paper firstly combs the common methods of price of painting works both at home and abroad. Then, according to the auction data of Yachang Art net Chinese painting market, Combined with the concrete situation of the Chinese painting world and auction market, nine characteristic variables of three levels, namely, the characteristics of art works, the characteristics of artists and the characteristics of auction agencies, are selected as the factors influencing the price of painting works of art. Through data integration, classification and quantification, the price model of Chinese painting art is established. Through the model and data collection, the price coefficients of these characteristic variables are estimated. This paper verifies the relationship between the price of Chinese painting art and the characteristic variables, and applies the price model of Chinese painting art to practice. The main conclusions of this paper are as follows: in the price model, Through the test, the characteristic variable of "artist's creation age" is excluded from the equation of 10 artists' painting works, Wu Guanzhong's works price is the highest, Bai Xueshi is the lowest. The research on the price model coefficient of the works shows that "size" has the greatest influence on the price, "description" takes the second place, "painting age" is the third, "auction date" has less influence, and the landscape painting theme has the highest price among the works. Figure painting has a slight advantage over flower-and-bird painting; art works that have passed away are generally more expensive; Christie's works in Hong Kong are at the highest price and the price of works created between 2010 and 2014 is the highest; in the practical use of the model, The difference of Chen Peiqiu's personal work data accounts for 0.1 of the actual logarithmic value of the transaction price, and the accuracy of price estimation is the highest. The price of painting works is also affected by macro factors, artists and works of art factors, collection and irrational factors of investors.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：J212-29

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本文編號：1572524