Exploring complex urban growth and land use efficiency in China’s developed regions: implications for territorial spatial planning
Xiaolu TANG, Li SHENG, Yinkang ZHOU
Exploring complex urban growth and land use efficiency in China’s developed regions: implications for territorial spatial planning
Developed regions in China have experienced rapid urban expansion and have consequently induced a series of challenging environmental issues since its economic reform and opening-up. Taking Zhejiang as a case study area, the present paper explores the complex types of urban growth over the last four decades as well as land use efficiency. Moreover, it discusses the implications of the aforementioned on China National territorial spatial planning (TSP). The acquired results have shown that: 1) urban expansion has slowed down, exhibiting a three-stage trend of “slight increase (1980−1990)—dramatic growth (1990−2010)—slow growth (after 2010)”; 2) the complex types of urban growth reveal that the urban diffusion has been gradually controlled and the urban form tends to be more condensed; and 3) the mean values for pure technical efficiency (PTE) and scale efficiency (SE) of urban land use are 0.83 and 0.95 respectively, indicating PTE as the main factor restricting the improvement of urban land use. Based on these results, some beneficial policy implications and suggestions for TSP are provided. First, it is suggested that “Inventory Planning” will be the main direction of TSP other than “Incremental Planning”. Secondly, we should pay more attention to the protection of cultivated land and ecological resources. Lastly, TSP should guide the economic growth away from simply relying on resource inputs and steer it toward technology and capital investment.
urban expansion / urban growth types / land use efficiency / Zhejiang / territorial spatial planning
[1] |
Ai B,, Ma C,, Zhao J,, Zhang R. ( 2020). The impact of rapid urban expansion on coastal mangroves: a case study in Guangdong Province, China. Front Earth Sci, 14( 1): 37– 49
CrossRef
Google scholar
|
[2] |
Bailey T C, Gatrell A C ( 1995). Interactive Spatial Data Analysis. Essex: Longman Scientific & Technical
|
[3] |
Birch C, Oom S P, Beecham J A ( 2007). Rectangular and hexagonal grids used for observation, experiment and simulation in ecology. Ecol Modell, 206( 3−4): 347− 359
|
[4] |
Brenner N,, Schmid C. ( 2014). The ‘urban age’ in question. Int J Urban Reg Res, 38( 3): 731– 755
CrossRef
Google scholar
|
[5] |
Chen J,, Chen J,, Liao A,, Cao X,, Chen L,, Chen X,, He C,, Han G,, Peng S,, Lu M,, Zhang W,, Tong X,, Mills J. ( 2015). Global land cover mapping at 30m resolution: a POK-based operational approach. ISPRS J Photogramm Remote Sens, 103: 7– 27
CrossRef
Google scholar
|
[6] |
Chen Y,, Chen Z,, Xu G,, Tian Z. ( 2016). Built-up land efficiency in urban China: insights from the general land use plan (2006–2020). Habitat Int, 51: 31– 38
CrossRef
Google scholar
|
[7] |
Corbane C,, Pesaresi M,, Kemper T,, Politis P,, Florczyk A,, Syrris V,, Melchiorri M,, Sabo F,, Soille P. ( 2019). Automated global delineation of human settlements from 40 years of Landsat satellite data archives. Big Earth Data, 3( 2): 140– 169
CrossRef
Google scholar
|
[8] |
Cui X,, Li S,, Wang X,, Xue X. ( 2019). Driving factors of urban land growth in Guangzhou and its implications for sustainable development. Front Earth Sci, 13( 3): 464– 477
CrossRef
Google scholar
|
[9] |
DeFries R S,, Rudel T K,, Uriarte M,, Hansen M. ( 2010). Deforestation driven by urban population growth and agricultural trade in the twenty-first century. Nat Geosci, 3( 3): 178– 181
CrossRef
Google scholar
|
[10] |
Du J,, Fu Q,, Fang S,, Wu J,, He P,, Quan Z. ( 2019). Effects of rapid urbanization on vegetation cover in the metropolises of China over the last four decades. Ecol Indic, 107: 105458
CrossRef
Google scholar
|
[11] |
Färe R,, Grosskopf S. ( 1997). Intertemporal production frontiers: with dynamic DEA. J Oper Res Soc, 48( 6): 656
CrossRef
Google scholar
|
[12] |
Feng Y,, Wu S,, Wu P,, Su S,, Weng M,, Bian M. ( 2018). Spatiotemporal characterization of megaregional poly-centrality: evidence for new urban hypotheses and implications for polycentric policies. Land Use Policy, 77: 712– 731
CrossRef
Google scholar
|
[13] |
Henderson J V. ( 2003). The urbanization process and economic growth: the so-what question. J Econ Growth, 8( 1): 47– 71
CrossRef
Google scholar
|
[14] |
Hu Y,, Wang F,, Guin C,, Zhu H. ( 2018). A spatio-temporal kernel density estimation framework for predictive crime hotspot mapping and evaluation. Appl Geogr, 99: 89– 97
CrossRef
Google scholar
|
[15] |
Huo Z,, Guo S. ( 2020). Research on spatial mismatch and optimal allocation of basic education facilities under the perspective of inventory planning: take Anshan city as an example. Urban Develop Studies, 27( 6): 1– 6
|
[16] |
Jia S,, Wang C,, Li Y,, Zhang F,, Liu W. ( 2017). The urbanization efficiency in Chengdu City: an estimation based on a three-stage DEA model. Phys Chem Earth Parts ABC, 101: 59– 69
CrossRef
Google scholar
|
[17] |
Jin Y,, Liang J,, Wang J,, Song M,, Shen J. ( 2019). Study on the multi-land use and functional complex in country parks under inventory planning development background—taking Shanghai suburban regulation unit as an example. Chin Landscape Architect, 35( 02): 33– 38
|
[18] |
Kew B,, Lee B. ( 2013). Measuring sprawl across the urban rural continuum using an amalgamated sprawl index. Sustainability, 5( 5): 1806– 1828
CrossRef
Google scholar
|
[19] |
Li H,, Xu X,, Li X,, Ma S,, Zhang H. ( 2021). Characterizing the urban spatial structure using taxi trip big data and implications for urban planning. Front Earth Sci, 15( 1): 70– 80
CrossRef
Google scholar
|
[20] |
Li X,, Gong P. ( 2016). Urban growth models: progress and perspective. Sci Bull (Beijing), 61( 21): 1637– 1650
CrossRef
Google scholar
|
[21] |
Li Y,, Song J. ( 2020). Effects of stock-based planning from the perspective of multistakeholder governance: a case study on the regeneration project of Hubei Village in Shenzhen. City Plan Rev, 44( 9): 120– 124
|
[22] |
Liu S,, Xiao W,, Li L,, Ye Y,, Song X. ( 2020). Urban land use efficiency and improvement potential in China: a stochastic frontier analysis. Land Use Policy, 99: 105046
CrossRef
Google scholar
|
[23] |
Liu X,, Li X,, Chen Y,, Tan Z,, Li S,, Ai B. ( 2010). A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data. Landsc Ecol, 25( 5): 671– 682
CrossRef
Google scholar
|
[24] |
Liu Y,, Zhou Y. ( 2021). Territory spatial planning and national governance system in China. Land Use Policy, 102: 105288
CrossRef
Google scholar
|
[25] |
Northam R M ( 1975). Urban Geography. New York: John Wiley & Sons
|
[26] |
Peng J,, Hu Y,, Liu Y,, Ma J,, Zhao S. ( 2018). A new approach for urban-rural fringe identification: integrating impervious surface area and spatial continuous wavelet transform. Landsc Urban Plan, 175: 72– 79
CrossRef
Google scholar
|
[27] |
Qiao W,, Hu Y,, Jia K,, He T,, Wang Y. ( 2020). Dynamic modes and ecological effects of salt field utilization in the Weifang coastal area, China: implications for territorial spatial planning. Land Use Policy, 99: 104952
CrossRef
Google scholar
|
[28] |
Qiu L,, Pan Y,, Zhu J,, Amable G S,, Xu B. ( 2019). Integrated analysis of urbanization-triggered land use change trajectory and implications for ecological land management: a case study in Fuyang, China. Sci Total Environ, 660: 209– 217
CrossRef
Pubmed
Google scholar
|
[29] |
Richards T,, Gallego J,, Achard F. ( 2000). Sampling for forest cover change assessment at the pan-tropical scale. Int J Remote Sens, 21( 6−7): 1473– 1490
CrossRef
Google scholar
|
[30] |
Schneider A,, Friedl M A,, Potere D. ( 2010). Mapping global urban areas using MODIS 500-m data: new methods and datasets based on ‘urban ecoregions’. Remote Sens Environ, 114( 8): 1733– 1746
CrossRef
Google scholar
|
[31] |
Su S,, Wang Y,, Luo F,, Mai G,, Pu J. ( 2014). Peri-urban vegetated landscape pattern changes in relation to socioeconomic development. Ecol Indic, 46: 477– 486
CrossRef
Google scholar
|
[32] |
Tan K,, Zhou S,, Li E,, Du P. ( 2015). Assessing the impact of urbanization on net primary productivity using multi-scale remote sensing data: a case study of Xuzhou, China. Front Earth Sci, 9( 2): 319– 329
CrossRef
Google scholar
|
[33] |
Tan S,, Hu B,, Kuang B,, Zhou M. ( 2021). Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China. Land Use Policy, 106: 105449
CrossRef
Google scholar
|
[34] |
Timmer M P,, Los B. ( 2005). Localized innovation and productivity growth in Asia: an intertemporal DEA approach. J Prod Anal, 23( 1): 47– 64
CrossRef
Google scholar
|
[35] |
United Nations ( 2019). World Urbanization Prospects: The 2018 Revision. New York
|
[36] |
Wang P,, Zeng C,, Song Y,, Guo L,, Liu W,, Zhang W. ( 2021). The spatial effect of administrative division on land-use intensity. Land (Basel), 10( 5): 543
CrossRef
Google scholar
|
[37] |
Wu W,, Zhao H,, Jiang S. ( 2018). A Zipf’s Law-Based method for mapping urban areas using NPP-VIIRS nighttime light data. Remote Sens, 10( 1): 130
CrossRef
Google scholar
|
[38] |
Xinhua Agency ( 2019a). Opinions of the CPC Central Committee and the State Council on the establishment and supervision of territorial space planning system. Available at Xinhuanet website
|
[39] |
Xinhua Agency ( 2019b). Guiding opinions of the CPC Central Committee and the State Council on the overall delimitation and implementation of three control lines in territorial space planning. Available at the State Council website
|
[40] |
Zeng J,, Zhang R,, Tang J,, Liang J,, Li J,, Zeng Y,, Li Y,, Zhang Q,, Shui W,, Wang Q. ( 2021). Ecological sustainability assessment of the carbon footprint in Fujian Province, southeast China. Front Earth Sci, 15( 1): 12– 22
CrossRef
Google scholar
|
[41] |
Zhang W,, Xu H. ( 2017). Effects of land urbanization and land finance on carbon emission: a panel data analysis for Chinese provinces. Land Use Policy, 63: 493– 500
CrossRef
Google scholar
|
[42] |
Zhao Z,, Zheng X,, Fan H,, Sun M. ( 2021). Urban spatial structure analysis: quantitative identification of urban social functions using building footprints. Front Earth Sci, 15( 3): 507– 525
CrossRef
Google scholar
|
[43] |
Zheng Z,, Wu Z,, Chen Y,, Yang Z,, Marinello F. ( 2020). Detection of city integration processes in rapidly urbanizing areas based on remote sensing imagery. Land (Basel), 9( 10): 378
CrossRef
Google scholar
|
[44] |
Zhong T,, Huang X,, Wang B. ( 2010). On the degrees of decoupling and re-coupling of economic growth and expansion of construction land in China from 2002 to 2007. J Nat Resourc, 25: 18– 31
CrossRef
Google scholar
|
[45] |
Zhu X,, Li Y,, Zhang P,, Wei Y,, Zheng X,, Xie L. ( 2019). Temporal–spatial characteristics of urban land use efficiency of China’s 35 mega cities based on DEA: decomposing technology and scale efficiency. Land Use Policy, 88: 104083
CrossRef
Google scholar
|
/
〈 | 〉 |