本研究針對2004至2011年期間之國際貨櫃港埠進行產出及分項投入效率分析。其中內含一個產出變量(貨櫃吞吐量)、四個投入變量(如：貨櫃儲存容量、橋式起重機數等)及六個環境變量(如：地理區域、水深、各國經濟成長率等)以反映港埠所面臨的不同條件及環境，並用以參數法中的隨機邊界法評估35座國際貨櫃港埠技術效率、共同邊界技術效率及分項投入效率。 投入效率部分將分別討論各個投入變量。 其中，我們發現在吞吐量產出效率及橋式起重機及車輛投入效率中，亞太群組效率顯著高於歐美群組效率；在貨櫃儲存投入效率則是歐美群組顯著高於亞太群組。 本研究亦發現於車輛投入效率環境變量中，兩類分析皆呈相同的顯著影響。

This research studies output and disaggregate input efficiencies of international container ports during 2004-2011. One output variable (container throughput), four input variables (e.g., container storage capacity, ship-to-shore container cranes) and six environmental variables reflecting different conditions or surroundings confronted by ports (e.g., geographic region, water depth, national economic growth rate) were used to evaluate technical efficiency, meta technical efficiency and disaggregate input efficiency for 35 international container ports using stochastic frontier analysis, a known parametric approach. Input efficiency is discussed separately for each selected input variable. We found the Asia-Pacific group is significantly superior to the Europe/America group in output efficiency for throughput and for input efficiency of ship-to-shore cranes and trucks; the Europe/America group is significantly superior in input efficiency of container storage. Significant effect of surroundings variables on input efficiency of trucks and vehicles was also found exactly the same in two types of analysis.

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