Research Articles

Evolution of coordination degree of eco-economic system and early-warning in the Yangtze River Delta

  • 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China

Received date: 2011-12-08

  Revised date: 2012-04-16

  Online published: 2013-02-07


On the basis of Landsat TM data of the Yangtze River Delta (YRD) Economic Zone in 1991, 2001 and 2008, this article, taking 90 counties in this region as study units, built spatial data transformation models, ecosystem service value (ESV) and coordination degree of eco-economic system (CDES) models. With the aid of ArcGIS9.3, mass grid and vector data has been processed for spatial analyses. ESV and CDES indexes have demonstrated the relationship between economic development and eco-environment system and its evolution characteristics in the researched areas. Furthermore, the indexes have also been used for functional zoning and pattern recognition. Some results can be shown as follows. Firstly, since 1991, land use in the YRD has greatly changed: urban land area has increased primarily from original paddy land, dry land, grassland, garden plot and other land. Secondly, the ESV model has proved the deterioration trend of the YRD ecological system from 1991 to 2001 and slower degradation trend during 2001-2008. Also, it is illustrated that land-use conversion from water area and paddy field to urban area and dry land could cause great damage to ecosystem stabilization. Thirdly, GDP in the central and southern parts of the YRD is higher than that in the northern part since 1991. GDP growth rate in the central part is higher than that in the northern part during 1991-2001. This growth rate in the central part is also higher than that in the southern and northern parts of the YRD from 2001 to 2008. Fourthly, the YRD could be categorized into 12 types of subregions in terms of CDES index. According to its spatial characteristic of CDES index value in the study area, eco-economic conflict area with low CDES value which is located in the central part is surrounded by eco-coordinated areas with high CDES values. This illustrates a core-periphery spatial structure exists in the YRD. During 1991-2001, the CDES value implied the convergent deterioration trend of eco-economic system in the study area; while it gradually stepped into coexistence of divergent deterioration and coordination during 2001-2008. Finally, this paper analyzed five subregions in the YRD, including initially degrading zone, initially coordinative zone, continuously degrading zone, coordination-declined zone and coordination-promoted zone, based on eco-economic coordination and evolution patterns. And these subregions can be recognized and categorized by spatial transformation model.

Cite this article

WANG Zhenbo, FANG Chuanglin, CHENG Shaowen, WANG Jing . Evolution of coordination degree of eco-economic system and early-warning in the Yangtze River Delta[J]. Journal of Geographical Sciences, 2013 , 23(1) : 147 -162 . DOI: 10.1007/s11442-013-1000-3


Alexey Voinov, Robert Costanza, Lisa Wainger et al., 1999. Patuxent landscape model: Integrated ecological economic modeling of a watershed. Environmental Modelling & Software, 14: 473-491.
Amanda A McDonald, Jianguo Liu, Harold Prince et al., 2001. A socio-ecological simulation model of land acquisition to expand a national wildlife refuge. Ecological Modelling, 140: 99-110.
Bolund P, Hunhammar S, 1999. Ecosystem services in urban areas. Ecological Economics, 29: 293-301.
Cecilia Collados, Timothy P Duane, 1999. Natural capital and quality of life: A model for evaluating the sustainability of alternative regional development paths. Ecological Economics, 30: 441-460.
Costanza R, d'Arge R, de Groot R et al., 1997a. The value of the world’s ecosystem services and natural capital. Nature, 387, 253-260.
Costanza R, Cumberland J, Daly H et al., 1997b. An Introduction to Ecological Economics. FL, USA: St Lucie Press.
Costanza R, Fred H Sklar, Mary L White, 1990. Modeling coastal landscape dynamics. Boiscience, 40(2): 91-92.
Costanza R, Lisa Wainger, Carl Folke et al., 1993. Modeling complex ecological economic systems. Bioscience, 43(8): 545-555.
Daily G C, 1997. Nature’s Services: Societal Dependence on Natural Ecosystems. Washington, DC: Island Press.
David R Streutker, 2003. Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sensing of Environment, 85(3): 282-289.
Dimitrios Triantakonstantis, Giorgos Mountrakis, Wang Jida, 2011. A Spatially Heterogeneous Expert Based (SHEB) urban growth model using model regionalization. Journal of Geographic Information System, 3: 189-202.
Farnsworth K D, Beecham J, Roberts D, 1999. A behavioral ecology approach to modelling decision making in combined economic and ecological systems. In: Us J L, Brebbia C A. Ecosystems and Sustainable Development II. Southampton, UK: WIT Press.
Helming K, M Perez-Soba, P Tabbush, 2008. Sustainability Impact Assessment of Land Use Changes. Berlin and Heidelberg, Germany: Springer.
Jager W, Janssen M A, H J M De Vrics et al., 2000. Behaviour in commons dilemmas: Homo economicus and homo psychologicus in an ecological-economic model. Ecological Economics, 35: 357-379.
Jean T Ellis, Joseph P Spruce, Roberta A Swann et al., 2011. An assessment of coastal land-use and land-cover change from 1974-2008 in the vicinity of Mobile Bay, Alabama. Journal of Coastal Conservation, 15: 139-149.
Jeroen C J M van den Bergh, Peter Nijkamp, 1991. Operationalizing sustainable development: Dynamic ecological economic models. Ecological Economics, 4: 11-33.
John C Woodwell, 1998. A simulation model to illustrate feedbacks among resource consumption, production, and facts of production in ecological-economic systems. Ecological Modelling, 112: 227-247.
Konarska K M, Sutton P C, Castellon M, 2002. Evaluating scale dependence of ecosystem service valuation: A comparison of NOAA-AVHRR and Landsat TM datasets. Ecological Economics, 41: 491-507.
Kreuter U P, Harris H G, Matlock M D et al., 2001. Change in ecosystem service values in the San Antonio area, Texas. Ecological Economics, 39: 333-346.
Lewandrowski J, Darwin R F, Tsigas M et al., 1999. Estimating costs of protecting global ecosystem diversity. Ecological Economics, 29: 111-125.
Li T H, Li W K, Qian Z H, 2010. Variations in ecosystem service value in response to land use changes in Shenzhen. Ecological Economics, 69: 1427-1435.
Liu G Y, Yang Z F, Chen B et al., 2011. Ecological network determination of sectoral linkages, utility relations and structural characteristics on urban ecological economic system. Ecological Modelling, 222(15): 2825-2834.
Marco Janssen, Bert de Vries, 1998. The battle of perspectives: A multi-agent model with adaptive responses to climate change. Ecological Economics, 26: 43-65.
Peter Eder, Michael Narodoslawsky, 1999. What environmental pressures are a region’s industries responsible for? A method of analysis with descriptive indices and input-output models. Ecological Economics, 29: 359-374.
Roelof M Boumans, Villa F, Costanza R et al., 2001. Non-spatial calibrations of a general unit model for ecosystem simulations. Ecological Modelling, 146: 17-32.
Shinichiro Nakamura, 1999. An interindustry approach to analyzing economic and environmental effects of the recycling of waste. Ecological Economics, 28: 133-145.
Steven I Higgins, Esteban J Azorin, Richard M Cowling et al., 1997. A dynamic ecological-economic model as a tool for conflict resolution in an invasive-alien-plant, biological control and native-plant scenario. Ecological Economics, 22: 141-154.
Sutton P C, Costanza R, 2002. Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation. Ecological Economics, 41: 509-527.
Tu Xiaosong, Pu Lijie, 2008. Spatio-temporal pattern of land use change and its eco-environmental response in Suzhou-Wuxi-Changzhou Region. Geographical Research, 27(3): 584-594. (in Chinese)
Wang Yeqiao, Zhang Xinsheng, 2001. A dynamic modeling approach to simulating socioeconomic effects on landscape changes. Ecological Modelling, 140(1/2): 141-162.
Woodward, Richard T, Wui et al., 2001. The economic value of wetland services: A meta-analysis. Ecological Economics, 37(2): 257-270.
Xiang Wusheng, Li Xiankun, Ding Tao et al., 2009. Effects of land use changes on eco-service value in Lijiang River Basin. Research of Soil and Water Conservation, 16(6): 46-50, 55. (in Chinese)