The Static and Dynamic Productivity Change of Airline Companies with Biased Technological Change: the Combination of the Network Dea and Global Mpi(III)

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Project title

Code/計畫編號

MOST107-2410-H019-008-MY3

Translated Name/計畫中文名

考量技術偏向下航空公司靜態與動態生產力評估模式建立之研究─結合網路資料包絡分析與全面麥氏指數(III)

Project Coordinator/計畫主持人

Ming-Miin Yu

Funding Organization/主管機關

National Science and Technology Council

Department/Unit

Department of Transportation Science

Website

https://www.grb.gov.tw/search/planDetail?id=13321063

Year

2020

Start date/計畫起

01-08-2020

Expected Completion/計畫迄

31-07-2021

Bugetid/研究經費

832千元

ResearchField/研究領域

交通運輸

由於歐洲、北美與遠東等地區解除管制與低成本航空公司的加入，航空運輸市場的競爭愈趨激烈，生產力的優劣對航空公司益發重要。雖在衡量航空公司生產力多使用麥氏生產力指數，然原麥氏生產力指數不具有循環性，無法獲得單一測量值，以及具有可能存在不可行解的問題；而航空產業的產品具有不可儲存性，衡量生產力時需考量其內部結構。為了避免傳統麥氏生產力指數的缺點且考量內部結構，本計畫於第一年建立一個以網路資料包絡分析為基礎的全面麥氏生產力指數來衡量全球航空公司的生產力變化，除進一步分解生產力變化的效率變化與技術變化外，並且考量技術的偏向改變。在第二年，在考量航空公司的活動可能橫跨多期下需表現兩期間結轉活動的存在，因此本計畫於第二年提出一個以動態網路資料包絡分析為基礎的全面麥氏生產力指數。在第三年，在考量航空公司生產技術的異質性，本計畫於第三年建構一個以動態網路資料包絡分析為基礎並在共同邊界架構下的全面麥氏生產力指數。預期藉由本計畫中三個創新的模型所獲得的結果將提供經營者與決策者更多有價值與有用的資訊以挖掘產生力變化的來源進而獲知生產力改善的方向。Due to the deregulation of the European, North American and Far East airline industries and the entrants of low cost carriers, the air transport market has undergone an increased competition. Airline companies require utilize their resources more effectively and pursue innovation in their operations. Productivity analysis can provide long-insights in competitive advantage. Although the Malmquist productivity index is the most popular method applied in the studies of airline productivity, the conventional Malmquist productivity index is non-circularity, disparate measurements of productivity change of the components, and sensitivity to infeasibility. In addition, due to the unstorable feature of an airline’s services, an airline’s internal operation is a network structure. When productivity changes of airlines are evaluated, the internal structure should be considered. In order to avoid the drawbacks of the adjacent Malmquist productivity index, and open the black box of operational process of an airline company, this project in the first year constructs a novel network data envelopment analysis-based global Malmquist productivity index in measuring the productivity change of global airline companies. The proposed method not only decomposes the productivity change into efficiency change and technological change, but also considers the possibility of biased technological change. In the second year, this project further considers the carry-over effect. Since the activities of an airline company generally continues across multiple periods, the linkage between periods should be considered. With the possibility of biased technological change and the presence of carry-over activities in consecutive periods, the second year project proposes a dynamic network data envelopment analysis-based global Malmquist productivity index to compute the productivity change of global airline companies. In the third year, this project further considers the technological heterogeneity among airline companies. Since airline companies may operate under different production technologies, the assumption of the same technologies may be inappropriate. In order to considering the heterogeneity among airline companies and the possibility of biased technological change, the third year projects extends the proposed method in the second year to propose a dynamic network data envelopment analysis-based global Malmquist productivity index with meta-frontier framework to assess the productivity change of airline companies. The results obtained from the proposed original methods in this three-year project may provide more valuable and useful information for airline operators and policy maker to understand the direction of improvement in productivity by mining the possible sources of productivity change.

Keyword(s)

麥氏生產力指數
網路資料包絡分析
動態網路資料包絡分析
共同邊界
航空公司
Malmquist productivity index
network data envelopment analysis
dynamic network data envelopment analysis
meta-frontier
airline

DSpace CRIS

The Static and Dynamic Productivity Change of Airline Companies with Biased Technological Change: the Combination of the Network Dea and Global Mpi(III)

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