CO2e emissions : a clustering analysis and benchmarking of global cities | |
| Author | Samanoden, Mohaimin Sadat |
| Call Number | AIT RSPR no.EB-17-01 |
| Subject(s) | Cluster analysis Carbon dioxide mitigation |
| Note | A research submitted in partial fulfillment of the requirements for the Degree of Master of Business Administration in Energy Business Management, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. EB-17-01 |
| Abstract | Global cities are the major sources of CO2 emissions that cause climate change through the rising of the earth’s temperature. On the other hand, the real solutions and opportunities to address it can also be found within cities which are well equipped with sophisticated technologies and financial resources. Policy makers shall have a deep understanding about the primary drivers of CO2e emissions for them to formulate and implement responsive policies on climate change at a global scale. This study aims to provide insights about the influence of population, income and city’s size on the trajectory of global cities CO2e emissions and to benchmark their CO2e emissions. Using k-means clustering algorithm, the 224 global cities used in this study were grouped into four clusters. Each of the clusters shows significant characteristics that can be attributed to the four indicators such as per capita emissions, per capita GDP, population density and CO2e emissions intensity. The cluster 1 is composed of cities with high per capita CO2e emissions and GDP coupled with low population density and emissions intensity. These cities are in developed countries like United States, Netherlands and Australia. The cluster 2 is characterized by high CO2e intensity with low population density. They are the highly industrialized cities in developing countries except for Swansea and Middleborough, UK and other 3 cities in the United States. The highly densely populated cities with very low per capita CO2 emissions fall into cluster 3. Most of the Indian cities belong to this cluster except for Delhi and Chennai. The cluster 4 contains seventy-five (75) percent of the global cities in this study. This cluster is characterized by low per capita emissions and intensity with medium per capita GDP and population density. The result of this study can give policy makers insights on how to come up with cluster-based CO2e emissions reduction policies for global cities. In this study, 2016 can be considered as the standard benchmark year for reporting. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. EB-17-01 |
| Type | Research Study Project Report (RSPR) |
| School | School of Environment, Resources, and Development (SERD) + School of Management (SOM) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Energy Business (Business Administration) (EB) |
| Chairperson(s) | Dhakal, Shobhakar; |
| Examination Committee(s) | Aumnad Phdungsilp;Badir, Yuosre,; |
| Scholarship Donor(s) | Islands Global Institute, Philippines / Asian Institute of Technology Fellowship; |
| Degree | Research Studies Project Report (M.B.A.) - Asian Institute of Technology, 2017 |