Valuating renewable microgeneration technologies in Lithuanian households: A study on willingness to pay
Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Su, Weihua [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Self-assembled 3D hierarchical MnCO - Rajendiran, Rajmohan ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:191 ; year:2018 ; day:1 ; month:08 ; pages:318-329 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.jclepro.2018.04.199 |
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ELV04312996X |
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| 520 | |a Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. | ||
| 520 | |a Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. | ||
| 650 | 7 | |a Willingness to pay (WTP) |2 Elsevier | |
| 650 | 7 | |a Households |2 Elsevier | |
| 650 | 7 | |a Sharing economy |2 Elsevier | |
| 650 | 7 | |a Renewable energy sources (RES) technology |2 Elsevier | |
| 650 | 7 | |a Micro generation technology |2 Elsevier | |
| 650 | 7 | |a Choice experiment |2 Elsevier | |
| 700 | 1 | |a Liu, Mengling |4 oth | |
| 700 | 1 | |a Zeng, Shouzhen |4 oth | |
| 700 | 1 | |a Štreimikienė, Dalia |4 oth | |
| 700 | 1 | |a Baležentis, Tomas |4 oth | |
| 700 | 1 | |a Ališauskaitė-Šeškienė, Ilona |4 oth | |
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10.1016/j.jclepro.2018.04.199 doi GBV00000000000674.pica (DE-627)ELV04312996X (ELSEVIER)S0959-6526(18)31235-6 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Su, Weihua verfasserin aut Valuating renewable microgeneration technologies in Lithuanian households: A study on willingness to pay 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Willingness to pay (WTP) Elsevier Households Elsevier Sharing economy Elsevier Renewable energy sources (RES) technology Elsevier Micro generation technology Elsevier Choice experiment Elsevier Liu, Mengling oth Zeng, Shouzhen oth Štreimikienė, Dalia oth Baležentis, Tomas oth Ališauskaitė-Šeškienė, Ilona oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:191 year:2018 day:1 month:08 pages:318-329 extent:12 https://doi.org/10.1016/j.jclepro.2018.04.199 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 191 2018 1 0801 318-329 12 |
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10.1016/j.jclepro.2018.04.199 doi GBV00000000000674.pica (DE-627)ELV04312996X (ELSEVIER)S0959-6526(18)31235-6 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Su, Weihua verfasserin aut Valuating renewable microgeneration technologies in Lithuanian households: A study on willingness to pay 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Willingness to pay (WTP) Elsevier Households Elsevier Sharing economy Elsevier Renewable energy sources (RES) technology Elsevier Micro generation technology Elsevier Choice experiment Elsevier Liu, Mengling oth Zeng, Shouzhen oth Štreimikienė, Dalia oth Baležentis, Tomas oth Ališauskaitė-Šeškienė, Ilona oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:191 year:2018 day:1 month:08 pages:318-329 extent:12 https://doi.org/10.1016/j.jclepro.2018.04.199 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 191 2018 1 0801 318-329 12 |
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10.1016/j.jclepro.2018.04.199 doi GBV00000000000674.pica (DE-627)ELV04312996X (ELSEVIER)S0959-6526(18)31235-6 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Su, Weihua verfasserin aut Valuating renewable microgeneration technologies in Lithuanian households: A study on willingness to pay 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Willingness to pay (WTP) Elsevier Households Elsevier Sharing economy Elsevier Renewable energy sources (RES) technology Elsevier Micro generation technology Elsevier Choice experiment Elsevier Liu, Mengling oth Zeng, Shouzhen oth Štreimikienė, Dalia oth Baležentis, Tomas oth Ališauskaitė-Šeškienė, Ilona oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:191 year:2018 day:1 month:08 pages:318-329 extent:12 https://doi.org/10.1016/j.jclepro.2018.04.199 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 191 2018 1 0801 318-329 12 |
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10.1016/j.jclepro.2018.04.199 doi GBV00000000000674.pica (DE-627)ELV04312996X (ELSEVIER)S0959-6526(18)31235-6 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Su, Weihua verfasserin aut Valuating renewable microgeneration technologies in Lithuanian households: A study on willingness to pay 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Willingness to pay (WTP) Elsevier Households Elsevier Sharing economy Elsevier Renewable energy sources (RES) technology Elsevier Micro generation technology Elsevier Choice experiment Elsevier Liu, Mengling oth Zeng, Shouzhen oth Štreimikienė, Dalia oth Baležentis, Tomas oth Ališauskaitė-Šeškienė, Ilona oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:191 year:2018 day:1 month:08 pages:318-329 extent:12 https://doi.org/10.1016/j.jclepro.2018.04.199 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 191 2018 1 0801 318-329 12 |
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10.1016/j.jclepro.2018.04.199 doi GBV00000000000674.pica (DE-627)ELV04312996X (ELSEVIER)S0959-6526(18)31235-6 DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Su, Weihua verfasserin aut Valuating renewable microgeneration technologies in Lithuanian households: A study on willingness to pay 2018transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. Willingness to pay (WTP) Elsevier Households Elsevier Sharing economy Elsevier Renewable energy sources (RES) technology Elsevier Micro generation technology Elsevier Choice experiment Elsevier Liu, Mengling oth Zeng, Shouzhen oth Štreimikienė, Dalia oth Baležentis, Tomas oth Ališauskaitė-Šeškienė, Ilona oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:191 year:2018 day:1 month:08 pages:318-329 extent:12 https://doi.org/10.1016/j.jclepro.2018.04.199 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 191 2018 1 0801 318-329 12 |
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Valuating renewable microgeneration technologies in Lithuanian households: A study on willingness to pay |
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Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. |
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Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. |
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Promoting clean energy requires finding the right balance among economic, social and environmental factors as the renewable energy generation technologies are often more costly than the conventional ones and imply additional requirements for their operation. Measurement of willingness to pay (WTP) can be a very useful tool for eliciting the possibilities for developing the renewables considering multiple determinants. This approach, indeed, reflects the preferences of energy consumers towards different renewable energy sources (RES) technologies and represents them in monetary terms. In this paper, we present a discrete choice experiment that was applied to gauge the WTP of individual houses owners for different RES micro generation technologies. As regards the theoretical novelty of the research, we account for willingness to share micro-generation technologies. The unlabelled discrete choice experiment has been carried out in Lithuania – a Central and Eastern European country – and thus offers a contribution to scientific discussion on the development of renewables in the region. The mixed logit model was applied in order to account for differences in tastes (preferences). Based on the results of mixed logit model, WTP was estimated for the selected RES micro generation technologies (solar photovoltaic, biomass boilers, solar thermal and micro-wind). The results show that owners of detached houses in Lithuania households are ready to pay for solar energy-based technologies (some 3300 EUR and 1363 EUR per solar panel and solar thermal installations, respectively), whereas the other two options are less desirable. As regards willingness to share, the households did not consider the latter criterion as a significant factor. |
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