A local-scale low-carbon plan based on the STIRPAT model and the scenario method: The case of Minhang District, Shanghai, China

To achieve a goal of reducing the emission intensity of carbon dioxide in 2020 by 40–45% relative to 2005 in China, the framework for a low-carbon scenario was developed on a small scale in Minhang District, Shanghai. The STIRPAT model was employed to reveal the factors that contribute to CO2 emissions in this district: the increase of population, affluence and urbanisation level would increase CO2 emissions, but energy intensity would decrease. Stakeholder involvement was another key component of the framework, and in this case, several rounds of negotiation and feedback resulted in fifteen final scenarios with the estimations of CO2 emissions in 2015. For the low-carbon development plan of Minhang District, the model considered the actual capacity and development potential of this district, the best scenario combining with the high rates of affluence growing and energy intensity reducing as well as the middle rates of population growth and urbanisation level. The final CO2 emissions of this scenario were 66.1Mt in 2015. Based on these results, strategic suggestions have been proposed to reduce future energy intensity in Minhang District through industrial and energy resource structure reformation, lifestyle change and the transportation system improvement in this district.

[1]  Koji Shimada,et al.  Developing a long-term local society design methodology towards a low-carbon economy: An application to Shiga Prefecture in Japan , 2007 .

[2]  E. Rosa,et al.  Effects of population and affluence on CO2 emissions. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Bernard T. Feld,et al.  III. Current Developments and Dangers of Atomic Armaments , 1972 .

[4]  E. Rosa,et al.  STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts , 2003 .

[5]  Thomas Dietz,et al.  Bridging Environmental Science with Environmental Policy: Plasticity of Population, Affluence, and Technology , 2002 .

[6]  Yuzuru Matsuoka,et al.  A low-carbon scenario creation method for a local-scale economy and its application in Kyoto city , 2010 .

[7]  G. T. Gardner,et al.  The Short List: The Most Effective Actions U.S. Households Can Take to Curb Climate Change , 2008 .

[8]  Barry Commoner,et al.  The closing circle: Confronting the environmental crisis , 1972 .

[9]  Yi-Ming Wei,et al.  Analyzing impact factors of CO2 emissions using the STIRPAT model , 2006 .

[10]  A. Carlsson-kanyama,et al.  Participative backcasting: A tool for involving stakeholders in local sustainability planning , 2008 .

[11]  Nicholas F. Gray,et al.  Comparative performance of six carbon footprint models for use in Ireland , 2009 .

[12]  P E Waggoner,et al.  A framework for sustainability science: A renovated IPAT identity , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[13]  P. Ehrlich,et al.  IMPACT OF POPULATION GROWTH , 1971, Science.

[14]  Peter C. Schulze,et al.  News and viewsI=PBAT , 2002 .

[15]  K. Hubacek,et al.  Lifestyles, technology and CO2 emissions in China: A regional comparative analysis , 2009 .

[16]  N. H. Ravindranath,et al.  2006 IPCC Guidelines for National Greenhouse Gas Inventories , 2006 .

[17]  Jonathan M. Gilligan,et al.  Individual Carbon Emissions: The Low-Hanging Fruit , 2008 .

[18]  James C. Cramer,et al.  Population growth and air quality in California , 1998, Demography.

[19]  Thomas Dietz,et al.  Driving the human ecological footprint , 2007, Frontiers in Ecology and the Environment.

[20]  G. T. Gardner,et al.  Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions , 2009, Proceedings of the National Academy of Sciences.

[21]  Jing-zhu Zhao,et al.  Analysis of the major drivers of the ecological footprint using the STIRPAT model and the PLS method--A case study in Henan Province, China , 2009 .

[22]  Ram M. Shrestha,et al.  Energy and environmental implications of carbon emission reduction targets: Case of Kathmandu Valley, Nepal , 2010 .

[23]  A. Jaffe,et al.  The energy-efficiency gap What does it mean? , 1994 .

[24]  Tim Jackson,et al.  The carbon footprint of UK households 1990–2004: A socio-economically disaggregated, quasi-multi-regional input–output model , 2009 .

[25]  Paul J. Harrison,et al.  AAAS atlas of population & environment , 2000 .

[26]  Paul Ekins,et al.  The Tyndall decarbonisation scenarios—Part I: Development of a backcasting methodology with stakeholder participation , 2008 .

[27]  Tae-hyeong Kwon,et al.  Decomposition of factors determining the trend of CO2 emissions from car travel in Great Britain (1970–2000) , 2005 .

[28]  A. Shi,et al.  The impact of population pressure on global carbon dioxide emissions, 1975-1996: evidence from pooled cross-country data , 2003 .

[29]  Dora Marinova,et al.  Analysis of the Environmental Impact of China based on STIRPAT Model , 2008 .

[30]  M. Fischer-Kowalski,et al.  Beyond IPAT and Kuznets Curves: Globalization as a Vital Factor in Analysing the Environmental Impact of Socio-Economic Metabolism , 2001 .

[31]  Guo Ru,et al.  The strategy of energy-related carbon emission reduction in Shanghai , 2010 .