Urban transformation optimization model: How to evaluate industrial structure under water resource constraints?

Abstract Many major cities today are beginning to experience increasing water shortages. A major use of water is often in industrial production, and therefore its reduction should go a long way to correcting the situation. The composition of the whole local or regional industrial structure has a significant influence on this, with its combination of sectors of different resource-intensities varying in their scale of use. However, the form of industrial structure also has an influence on other aspects of city life – particularly its economic performance. Evaluating industrial structure, therefore, involves an optimization problem of, on the one hand, determining the appropriate proportions of various types of sectors that will best satisfy the objective of minimizing water consumption in the face of a range of economic and other constraints. Alternatively, it can be seen as an optimization problem with the objective of maximizing economic benefit under a range of water use and other constraints. In developing the optimization model, we first break down industrial water use into two objectives - (1) minimizing total consumption and (2) minimizing intensity (per unit) of consumption. Adding the economic objective of maximizing Gross Domestic Product (GDP), all three are then optimized retrospectively by a series of input-output analyses to evaluate the suitability of the industrial structure. The application of the model is demonstrated in a case study of Beijing that indicates that, while its industrial structures in 1992 and 2002 were far from optimal, the actual 2012 industrial structure was quite close to that determined by the model and augurs well for the city's future sustainable development.

[1]  Klaus Hubacek,et al.  A "carbonizing dragon": China's fast growing CO2 emissions revisited. , 2011, Environmental science & technology.

[2]  D. Hristu-Varsakelis,et al.  Optimizing production with energy and GHG emission constraints in Greece: An input-output analysis , 2010 .

[3]  L. Campbell Getting farming on the agenda: Planning, policymaking, and governance practices of urban agriculture in New York City , 2016 .

[4]  Yi-Ming Wei,et al.  Beijing's coordinated development of population, resources, environment, and economy , 2004 .

[5]  Eric Chu,et al.  The political economy of urban climate adaptation and development planning in Surat, India , 2016 .

[6]  Hiroki Tanikawa,et al.  How does industrial structure change impact carbon dioxide emissions? A comparative analysis focusing on nine provincial regions in China , 2014 .

[7]  Elisabeth M. Hamin,et al.  Urban form and climate change: Balancing adaptation and mitigation in the U.S. and Australia , 2009 .

[8]  Yi-Ming Wei,et al.  Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing , 2015 .

[9]  Tom Dedeurwaerdere,et al.  Sustainability Science for Strong Sustainability , 2014 .

[10]  Matthew A. Cole,et al.  The environmental Kuznets curve: an empirical analysis , 1997, Environment and Development Economics.

[11]  J. Birkmann,et al.  Adaptive urban governance: new challenges for the second generation of urban adaptation strategies to climate change , 2010 .

[12]  Wilfred Beckerman,et al.  Economic growth and the environment: Whose growth? whose environment? , 1992 .

[13]  T. Panayotou,et al.  Demystifying the environmental Kuznets curve: turning a black box into a policy tool , 1997, Environment and Development Economics.

[14]  Min Zhou,et al.  Optimizing the industrial structure of a watershed in association with economic–environmental consideration: an inexact fuzzy multi-objective programming model , 2013 .

[15]  Edward B. Barbier,et al.  Introduction to the environmental Kuznets curve special issue , 1997, Environment and Development Economics.

[16]  W. Leontief Quantitative Input and Output Relations in the Economic Systems of the United States , 1936 .

[17]  T. Domingos,et al.  Analysis of genuine saving and potential green net national income: Portugal, 1990-2005. , 2010 .

[18]  T. Panayotou Empirical tests and policy analysis of environmental degradation at different stages of economic development , 1993 .

[19]  Youguo Zhang,et al.  Structural decomposition analysis of sources of decarbonizing economic development in China; 1992-2006 , 2009 .

[20]  Lachun Wang,et al.  Optimization of industry structure based on water environmental carrying capacity under uncertainty of the Huai River Basin within Shandong Province, China , 2016 .

[21]  K. Hetz Contesting adaptation synergies: political realities in reconciling climate change adaptation with urban development in Johannesburg, South Africa , 2016, Regional Environmental Change.

[22]  Ning Chang,et al.  Changing industrial structure to reduce carbon dioxide emissions: a Chinese application , 2015 .

[23]  M. Ruth,et al.  Interdependencies of urban climate change impacts and adaptation strategies: a case study of Metropolitan Boston USA , 2008 .

[24]  James Andreoni,et al.  The Simple Analytics of the Environmental Kuznets Curve , 2001 .

[25]  C. S. Holling,et al.  Economic growth, carrying capacity, and the environment , 1995, Environment and Development Economics.

[26]  Glen P. Peters,et al.  The contribution of Chinese exports to climate change , 2008 .

[27]  T. Selden,et al.  Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions? , 1994 .

[28]  P Ekins,et al.  A Framework for the practical application of the concepts of critical natural capital and strong sustainability , 2005 .

[29]  P. Morefield,et al.  Urban adaptation can roll back warming of emerging megapolitan regions , 2014, Proceedings of the National Academy of Sciences.

[30]  Simon Dietz,et al.  Weak and Strong Sustainability in the SEEA: Concepts and Measurement , 2007 .

[31]  Ivan Dale U. Barilea,et al.  A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints , 2012 .

[32]  J. S. Cristóbal AN ENVIRONMENTAL/INPUT–OUTPUT LINEAR PROGRAMMING MODEL TO REACH THE TARGETS FOR GREENHOUSE GAS EMISSIONS SET BY THE KYOTO PROTOCOL , 2010 .

[33]  中華人民共和国国家統計局 China statistical yearbook , 1988 .

[34]  F. Shi,et al.  Structural decomposition analysis of the carbonization process in Beijing: A regional explanation of rapid increasing carbon dioxide emission in China , 2013 .

[35]  Minjun Shi,et al.  Analyses of water footprint of Beijing in an interregional input–output framework , 2011 .

[36]  Edward B. Barbier,et al.  Economic growth and environmental degradation: The environmental Kuznets curve and sustainable development , 1996 .

[37]  C. Weber,et al.  China's growing CO2 emissions--a race between increasing consumption and efficiency gains. , 2007, Environmental science & technology.

[38]  F. You,et al.  Optimal design of sustainable cellulosic biofuel supply chains: Multiobjective optimization coupled with life cycle assessment and input–output analysis , 2012 .

[39]  Ramon Lopez,et al.  The Environment as a Factor of Production: The Effects of Economic Growth and Trade Liberalization , 1994 .