| LDR | | 02642nmm uu200445 4500 |
| 001 | | 000000331572 |
| 005 | | 20240805164644 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438302464 |
| 035 | |
▼a (MiAaPQ)AAI10930540 |
| 035 | |
▼a (MiAaPQ)cmu:10283 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 621 |
| 100 | 1 |
▼a Hanus, Nichole L. |
| 245 | 13 |
▼a An Engineering and Behavioral Sciences Approach to Understand and Inform Energy Efficiency and Renewable Energy Decision-Making. |
| 260 | |
▼a [S.l.] :
▼b Carnegie Mellon University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 268 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Gabrielle Wong-Parodi. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Carnegie Mellon University, 2018. |
| 520 | |
▼a In 2017, approximately 62% of electricity generated in the United Sates (U.S.) came from coal and natural gas sources, while only 8% came from wind and solar energy sources. This heavily fossil fuel dependent generation mix contributes to approx |
| 520 | |
▼a In Chapter 2, I employ an interview study to explore the behavioral and social factors in commercial building energy efficiency investment decision-making and to clarify the distinction between influences related to Economics/Technology and Psyc |
| 520 | |
▼a Chapter 3 focuses on the residential sector and details findings from two studies evaluating the effect of a clean energy campaign on civic engagement (e.g. signing a petition) among parents already taking advocacy actions (i.e. advocacy sample) |
| 520 | |
▼a Finally, in Chapter 4, I focus on the educational sector and employ a benefit-cost analysis (BCA) to determine which states in the U.S. will benefit most from installing solar photovoltaic (PV) on their educational facilities and which PV projec |
| 520 | |
▼a Discussed in Chapter 5 are this work's contribution to the literature and the policy implications regarding the adoption of EE and RE among various actors revealed in Chapters 2 through 4. For instance, findings from Chapter 2 suggest that polic |
| 590 | |
▼a School code: 0041. |
| 650 | 4 |
▼a Energy. |
| 650 | 4 |
▼a Engineering. |
| 690 | |
▼a 0791 |
| 690 | |
▼a 0537 |
| 710 | 20 |
▼a Carnegie Mellon University.
▼b Engineering and Public Policy. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0041 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000991
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |