What drives Indian Airlines operational expense: An econometric model
This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Singh, Jagroop [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
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| Umfang: |
7 |
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| Übergeordnetes Werk: |
Enthalten in: Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes - Li, Yanxiu ELSEVIER, 2019, a new international journal of research, policy and practice, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:77 ; year:2019 ; pages:32-38 ; extent:7 |
| Links: |
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| DOI / URN: |
10.1016/j.jairtraman.2019.03.003 |
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ELV04651953X |
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| 520 | |a This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. | ||
| 520 | |a This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. | ||
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10.1016/j.jairtraman.2019.03.003 doi GBV00000000000595.pica (DE-627)ELV04651953X (ELSEVIER)S0969-6997(18)30061-9 DE-627 ger DE-627 rakwb eng 610 VZ 44.95 bkl Singh, Jagroop verfasserin aut What drives Indian Airlines operational expense: An econometric model 2019transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. Operational expense Elsevier Indian airlines Elsevier Regression Elsevier Conceptual framework Elsevier RPK Elsevier DGCA Elsevier Sharma, Somesh Kumar oth Srivastava, Rajnish oth Enthalten in Elsevier Science Li, Yanxiu ELSEVIER Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes 2019 a new international journal of research, policy and practice Amsterdam [u.a.] (DE-627)ELV002724472 volume:77 year:2019 pages:32-38 extent:7 https://doi.org/10.1016/j.jairtraman.2019.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.95 Augenheilkunde VZ AR 77 2019 32-38 7 |
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10.1016/j.jairtraman.2019.03.003 doi GBV00000000000595.pica (DE-627)ELV04651953X (ELSEVIER)S0969-6997(18)30061-9 DE-627 ger DE-627 rakwb eng 610 VZ 44.95 bkl Singh, Jagroop verfasserin aut What drives Indian Airlines operational expense: An econometric model 2019transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. Operational expense Elsevier Indian airlines Elsevier Regression Elsevier Conceptual framework Elsevier RPK Elsevier DGCA Elsevier Sharma, Somesh Kumar oth Srivastava, Rajnish oth Enthalten in Elsevier Science Li, Yanxiu ELSEVIER Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes 2019 a new international journal of research, policy and practice Amsterdam [u.a.] (DE-627)ELV002724472 volume:77 year:2019 pages:32-38 extent:7 https://doi.org/10.1016/j.jairtraman.2019.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.95 Augenheilkunde VZ AR 77 2019 32-38 7 |
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10.1016/j.jairtraman.2019.03.003 doi GBV00000000000595.pica (DE-627)ELV04651953X (ELSEVIER)S0969-6997(18)30061-9 DE-627 ger DE-627 rakwb eng 610 VZ 44.95 bkl Singh, Jagroop verfasserin aut What drives Indian Airlines operational expense: An econometric model 2019transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. Operational expense Elsevier Indian airlines Elsevier Regression Elsevier Conceptual framework Elsevier RPK Elsevier DGCA Elsevier Sharma, Somesh Kumar oth Srivastava, Rajnish oth Enthalten in Elsevier Science Li, Yanxiu ELSEVIER Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes 2019 a new international journal of research, policy and practice Amsterdam [u.a.] (DE-627)ELV002724472 volume:77 year:2019 pages:32-38 extent:7 https://doi.org/10.1016/j.jairtraman.2019.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.95 Augenheilkunde VZ AR 77 2019 32-38 7 |
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10.1016/j.jairtraman.2019.03.003 doi GBV00000000000595.pica (DE-627)ELV04651953X (ELSEVIER)S0969-6997(18)30061-9 DE-627 ger DE-627 rakwb eng 610 VZ 44.95 bkl Singh, Jagroop verfasserin aut What drives Indian Airlines operational expense: An econometric model 2019transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. Operational expense Elsevier Indian airlines Elsevier Regression Elsevier Conceptual framework Elsevier RPK Elsevier DGCA Elsevier Sharma, Somesh Kumar oth Srivastava, Rajnish oth Enthalten in Elsevier Science Li, Yanxiu ELSEVIER Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes 2019 a new international journal of research, policy and practice Amsterdam [u.a.] (DE-627)ELV002724472 volume:77 year:2019 pages:32-38 extent:7 https://doi.org/10.1016/j.jairtraman.2019.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.95 Augenheilkunde VZ AR 77 2019 32-38 7 |
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10.1016/j.jairtraman.2019.03.003 doi GBV00000000000595.pica (DE-627)ELV04651953X (ELSEVIER)S0969-6997(18)30061-9 DE-627 ger DE-627 rakwb eng 610 VZ 44.95 bkl Singh, Jagroop verfasserin aut What drives Indian Airlines operational expense: An econometric model 2019transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. Operational expense Elsevier Indian airlines Elsevier Regression Elsevier Conceptual framework Elsevier RPK Elsevier DGCA Elsevier Sharma, Somesh Kumar oth Srivastava, Rajnish oth Enthalten in Elsevier Science Li, Yanxiu ELSEVIER Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes 2019 a new international journal of research, policy and practice Amsterdam [u.a.] (DE-627)ELV002724472 volume:77 year:2019 pages:32-38 extent:7 https://doi.org/10.1016/j.jairtraman.2019.03.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.95 Augenheilkunde VZ AR 77 2019 32-38 7 |
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Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes |
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Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes |
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What drives Indian Airlines operational expense: An econometric model |
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What drives Indian Airlines operational expense: An econometric model |
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Singh, Jagroop |
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Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes |
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Real-time OCT guidance and multimodal imaging monitoring of subretinal injection induced choroidal neovascularization in rabbit eyes |
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what drives indian airlines operational expense: an econometric model |
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What drives Indian Airlines operational expense: An econometric model |
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This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. |
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This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. |
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This paper attempts to measure an impact of various variables on the operational expense of Indian Airlines using data available with Directorate General of Civil Aviation for the period of 10 years, i.e. from the year 2007–2008 to the year 2016–2017. In this paper, five variables i.e. average seats per kilometer, average payload, average stage length, average fuel price and ownership of an airline were regressed to expense/revenue passenger kilometer to measure their contribution towards airlines total operational cost. The regression model developed from conceptual framework provides strong evidence that these selected variables have significant influence over the operational expense of an airline. It is observed that these variables dominate airline operating expense and together these variables explain 80.9% of the model. Hence, consideration and management of these variables can improve operational cost efficiency of airlines making them sustainable in a competitive market. |
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What drives Indian Airlines operational expense: An econometric model |
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Sharma, Somesh Kumar Srivastava, Rajnish |
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