Dr. Takeshi Takama is involved in various projects related to environment and development, climate change, and human behaviours including demand assessment of bio-ethanol / clean cooking stove, development of a climate adaptation decision supporting tool, etc.

He is also a fellow at the University of Oxford and a Japanese university and supporting a NGO/social-business on microfinance in Japan.

Education
DPhil Geography and Environment (Uni of Oxford), MSc in Environmental change and management (Uni of Oxford), BCom in Economics (Uni of Auckland) and a MSc in Biological science / Statistics (Uni of Auckland)

More information on: http://www.takeshitakama.com

Publications

• Economics of Modern and Traditional Bioenergy in African Households: Consumer Choices for Cook Stoves (Book chapter - 2012)

• Evaluating the relative strength of product-specific factors in fuel switching and stove choice decisions in Ethiopia: A discrete choice model of household preferences for clean cooking alternatives (Journal article - 2012)

• Will African Consumers Buy Cleaner Fuels and Stoves? (Research report - 2011)

• Coping with Multiple Stresses in Rural South Africa (Journal article - 2011)

• Why perfect stoves are not always chosen: A new approach for understanding stove and fuel choice at the household level (Journal article - 2010)

• Community-Based Solutions to the Climate Crisis in Ethiopia (Book chapter - 2010)

• Complex Multiple Stressors and Adaptation to Climate Change in the Case of a Rural South African Community (Book chapter - 2010)

• Robust decision making for sustainable and scalable drought index-based microinsurance in Ethiopia (Book chapter - 2010)

• The Achievable Potential of Wood Fuels for Climate Mitigation at Regional and Global Levels: Reviewing the Scope for Technical, Economic and Financial Implementation (Proceedings - 2010)

• Adaptation Finance under a Copenhagen Agreed Outcome (Research report - 2009)

Complete list of publications »

Projects

• Household Energy Economic Analysis (HHEA)

  
  

• Agent-Based Modeling for Water Resources Planning