This book aims to develop a framework for the assessment of population 'preferences in climate change mitigation policies by applying a Willingness to Pay (WTP) approach and presents the results from several case studies in Lithuania on renewable energy generation and renovation in different households. These analyses of climate change mitigation policies and measures, based on the assessment of their effectiveness, provide recommendations for developing innovative measures in other countries. Since public preferences are ...
Read More
This book aims to develop a framework for the assessment of population 'preferences in climate change mitigation policies by applying a Willingness to Pay (WTP) approach and presents the results from several case studies in Lithuania on renewable energy generation and renovation in different households. These analyses of climate change mitigation policies and measures, based on the assessment of their effectiveness, provide recommendations for developing innovative measures in other countries. Since public preferences are variable, climate change mitigation policies can change these preferences and allow to form new ones. Features: Analyses social benefits of climate change mitigation measures and their integration methods based on assessment of public preferences. Presents several practical case studies on energy needs where the Willingness to Pay framework was applied. Discusses climate change mitigation barriers in energy sector and the effectiveness of climate change mitigation policies to overcome them. Provides a novel approach for climate change mitigation policies development in households. Includes useful information for evaluating and planning policies related to renewable energy investment. This book is a useful reference for those in the academic, research, and business communities, policy makers, graduate students, and professionals involved with climate change mitigation projects.
Read Less
Add this copy of Willingness to Pay Framework: Climate Change Mitigation to cart. $58.23, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2023 by CRC Press.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Trade paperback (US). Glued binding. 168 p. Contains: Unspecified, Illustrations, black & white, Line drawings, black & white, Tables, black & white.
Add this copy of Willingness to Pay Framework: Climate Change Mitigation to cart. $70.22, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2023 by CRC Press.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Fine. Trade paperback (US). Glued binding. 168 p. Contains: Unspecified, Illustrations, black & white, Line drawings, black & white, Tables, black & white. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Willingness to Pay Framework: Climate Change Mitigation to cart. $70.93, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2023 by CRC Press.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
New. Trade paperback (US). Glued binding. 168 p. Contains: Unspecified, Illustrations, black & white, Line drawings, black & white, Tables, black & white. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.