基于生存分析模型的游客停留天數(shù)影響因素分析——以大連濱海旅游為例
發(fā)布時(shí)間:2019-08-04 12:26
【摘要】:游客的停留天數(shù)是影響旅游經(jīng)濟(jì)發(fā)展的一個(gè)重要因素。但是,由于停留天數(shù)變量特有的統(tǒng)計(jì)屬性和復(fù)雜性,如數(shù)據(jù)刪失和非負(fù)性,使得經(jīng)濟(jì)研究領(lǐng)域很少有學(xué)者系統(tǒng)地的研究這一問(wèn)題。本文通過(guò)使用計(jì)量經(jīng)濟(jì)學(xué)的參數(shù)化生存分析模型分析游客停留天數(shù)的決定因素,這對(duì)旅游需求研究是一個(gè)很好的創(chuàng)新。在研究過(guò)程中,為了揭示影響游客停留天數(shù)的主要因素,本文考慮了多個(gè)關(guān)于游客的社會(huì)-人口統(tǒng)計(jì)特征等變量。結(jié)果顯示,重復(fù)旅行的游客和距離較遠(yuǎn)的游客會(huì)停留較長(zhǎng)的天數(shù)。因此,未來(lái)研究需要進(jìn)一步分析具有這些特征的游客群體以及他們的經(jīng)濟(jì)狀況和旅游活動(dòng)特征等情況。游客的收入水平和年齡也對(duì)停留天數(shù)具有顯著的影響。此外,游客受教育程度越高,停留天數(shù)越少。最后,本文分別分析了這些結(jié)果對(duì)旅游管理決策的含義。
[Abstract]:The number of stay days of tourists is an important factor affecting the development of tourism economy. However, due to the unique statistical attributes and complexity of the number of stay variables, such as data deletion and non-negativity, few scholars in the field of economic research have systematically studied this problem. In this paper, the parametric survival analysis model of econometrics is used to analyze the decisive factors of tourists' stay days, which is a good innovation for the study of tourism demand. In the course of the study, in order to reveal the main factors that affect the number of stay days of tourists, this paper considers a number of variables such as the socio-demographic characteristics of tourists. The results show that repeat tourists and distant tourists stay for longer days. Therefore, future research needs to further analyze the tourist groups with these characteristics, their economic situation and the characteristics of tourism activities. The income level and age of tourists also have a significant impact on the number of stay days. In addition, the higher the level of education, the fewer days of stay. Finally, this paper analyzes the meaning of these results to tourism management decisions.
【作者單位】: 大連理工大學(xué)工商管理學(xué)院;塔爾頓州立大學(xué)計(jì)算機(jī)科學(xué)與數(shù)學(xué)系;
【基金】:教育部博士點(diǎn)科研基金項(xiàng)目(20110041110026)
【分類號(hào)】:F590
[Abstract]:The number of stay days of tourists is an important factor affecting the development of tourism economy. However, due to the unique statistical attributes and complexity of the number of stay variables, such as data deletion and non-negativity, few scholars in the field of economic research have systematically studied this problem. In this paper, the parametric survival analysis model of econometrics is used to analyze the decisive factors of tourists' stay days, which is a good innovation for the study of tourism demand. In the course of the study, in order to reveal the main factors that affect the number of stay days of tourists, this paper considers a number of variables such as the socio-demographic characteristics of tourists. The results show that repeat tourists and distant tourists stay for longer days. Therefore, future research needs to further analyze the tourist groups with these characteristics, their economic situation and the characteristics of tourism activities. The income level and age of tourists also have a significant impact on the number of stay days. In addition, the higher the level of education, the fewer days of stay. Finally, this paper analyzes the meaning of these results to tourism management decisions.
【作者單位】: 大連理工大學(xué)工商管理學(xué)院;塔爾頓州立大學(xué)計(jì)算機(jī)科學(xué)與數(shù)學(xué)系;
【基金】:教育部博士點(diǎn)科研基金項(xiàng)目(20110041110026)
【分類號(hào)】:F590
【共引文獻(xiàn)】
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