本論文探討台北市連鎖式便利商店的市場進入決策。研究發現在便利商店的產業裡，相較於多重市場接觸(亦即是否已同時出現在其他市場)的考量，與競爭對手門市的距離對廠商的進入決策有較大的影響。此外，上期競爭對手存在與否，也是廠商是否進入該市場的重要衡量依據。大型連鎖店會進入前一期競爭較激烈的市場，這些市場競爭對手的門市已有一家以上；而小型連鎖店通常不會依據對手的門市數目來決定其進入的決策。最後，利用不同的落後期變數設定，本文發現廠商的進入決策具有一致性。這表示在台北市，便利商店已經是相當成熟的產業了。 / In this paper we study entry decisions of the convenience store chains in Taipei. We find that the distance between store pairs is more relevant to firms' entry decisions than the multimarket contact (i.e., firms encounter each other in multiple markets) in this industry. In addition, the presence of a firm's rivals in the previous period plays an important role in the entry decision. The large convenience store chains are more likely to enter more competitive markets, such as markets consisting of more than one rivals' store. On the other hand, the small chains are indifferent to their rivals' presence when making their entry decisions. Lastly, firms' entry decisions are consistent when different measurements of lagged variables are used. We interpret that the convenience store industry may have reached a stable state in Taipei.

臺灣的連鎖式便利商店密度居世界之冠，為數眾多的門市使得便利商店與臺灣人 民的生活息息相關，就直覺來說，便利商店門市的數量也影響了廠商設立新門市 的決策。本研究建構了一離散選擇的動態賽局，分析臺北市各個行政區便利商店 門市數量對不同廠商設立新門市的影響。實證結果顯示當競爭對手門市數量剛開 始增加時，門市數量對便利商店的利潤有正向的影響，但是當對手門市數量太多 時，此數量的增加對便利商店的利潤產生負向影響。這結果表示一開始門市之間 的互補效果大於替代效果，但是門市數量太多造成過度競爭，此時門市之間的替 代效果大於互補效果。而同品牌的門市數量對於廠商的總利潤也有類似的影響。 另外，本研究也估計便利商店歷年來在臺北市各行政區展店的機率，其中大安區 和中山區是便利商店廠商最想展店的行政區，相對而言，南港區、大同區和萬華 區則是展店機率較低的行政區。 / The density of convenience stores (CVS) in Taiwan is ranked as number one in the world. The highly concentrated market of convenience stores has dramatically changed the lifestyle of Taiwanese people. The number of existing outlets in a region is also an important factor in regard to the entry decisions of new outlets. In this study, we construct a model of the dynamic discrete game, and examine the influence of the rival outlet number on CVS entry decisions in Taipei, Taiwan. The empirical evidence we find is that the CVS profits first rise and then decline as the own or rival outlet number increases. This result implies that the complement and substitution effects vary with the number of the CVS outlets in a specific region. Furthermore, we estimate the probabilities that the CVS companies will set up additional outlets in any district of Taipei during the data period. The results show that it is most likely for the companies to enter the Da’an and Zhongshan districts, while Nangang, Datong and Wanhua are districts with low entry probabilities.