Technical Papers
Apr 20, 2021

Causes of Spatial Patterns of Livability in Chinese Cities: MGWRL Analysis Based on Didi's Big Data

Publication: Journal of Urban Planning and Development
Volume 147, Issue 3

Abstract

Continuous expansion results in urban problems such as congestion, pollution, and crime that seriously threaten the sustainable development of Chinese cities. How to promote the development of efficient and livable cities in China is of great significance in easing the pressure of urban development and promoting healthy urban development. Based on Didi's “urban development index,” this study explores the spatial distribution and spatial driving factors of urban livability in China through Theil index decomposition, standard deviation ellipse analysis, global and local spatial autocorrelation analysis, and multiscale geographically weighted regression with lagged dependent variables (MGWRL) model analysis. The results reveal the following three points. First, China's urban livability presents a spatial pattern of “east-west-middle” decreasing, with large spatial distribution differences and significant spatial dependence. Second, the effects of urban livability influencing factors have spatial scale differences. The impact of global variables such as human capital, fixed assets investment, medical level, and greening degree on urban livability is consistent at the global level. Local variables such as finance, urbanization, advanced industrial structure, and foreign trade only have consistent impacts on urban livability in local regions, and the scope of these regions varies with different variables. Third, it is further found that the effects of some local variables on urban livability have spatial heterogeneity. The effects of finance on urban livability shows a decreasing trend from east to west and from north to south in space; the effects of advanced industrial structure on urban livability are spatially characterized by outward radiation attenuation along the Yellow River and the middle reaches of the Yangtze River; only less than one-third of the local regression coefficients of variables such as spatial lag, urbanization, and foreign trade passed the significance test. Relevant government departments should pay full attention to the spatial pattern and spatial dependence of urban livability in China, and make overall planning and improvement strategies; attention should be paid to the spatial scale difference and the spatial heterogeneity of influencing factors in policy formulation, and the differentiated development policy of livable cities should be put forward according to local conditions.

Get full access to this article

View all available purchase options and get full access to this article.

References

Boldbaatar, M., and C. L. Lee. 2015. “Financial accessibility and economic growth.” J. East Asian Econ. Integr. 19 (2): 143–166
Brunsdon, C., A. S. Fotheringham, and M. Charlton. 2002. “Geographically weighted summary statistics—A framework for localised exploratory data analysis.” Comput. Environ. Urban Syst. 26 (6): 501–524. https://doi.org/10.1016/S0198-9715(01)00009-6.
Caset, F., and B. Derudder. 2017. “Measurement and interpretation of “global cultural cities” in a world of cities.” AREA 49 (2): 238–248. https://doi.org/10.1111/area.12324.
Chunxia, N., S. Hui, and T. Fei. 2012. “Livability and differences of 30 Chinese major cities.” J. Shanxi Univ. Finance Econ. 34 (11): 11–20.
Fan, J. J., C. W. Su, K. M. Lu, and S. C. Doong. 2018. “Is there a causal relationship between financial development and economic growth in China? Evidence from the bootstrap rolling-window approach.” China: Int. J. 16 (2): 170–189.
Feng, C., M. Wang, G.-C. Liu, and J.-B. Huang. 2017. “Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis.” Econ. Modell. 64: 334–348. https://doi.org/10.1016/j.econmod.2017.04.007.
Fotheringham, A. S., W. Yang, and W. Kang. 2017. “Multiscale geographically weighted regression (MGWR).” Ann. Am. Assoc. Geogr. 107 (6): 1247–1265. https://doi.org/10.1080/24694452.2017.1352480.
Fotheringham, A. S., H. Yue, and Z. Li. 2019. “Examining the influences of air quality in China’s cities using multi-scale geographically weighted regression.” Trans. GIS 23 (6): 1444–1464. https://doi.org/10.1111/tgis.12580.
Huan, Z., J. Fen, W. Yongqing, C. Jinhua, and Q. Cheng. 2018. “Spatial heterogeneity and distribution characteristics of ecologically life & work facilitating level in the Yangtze River Delta city cluster.” China Popul. Resour. Environ. 28 (11): 73–82.
Huan, Z., T. Shangying, and G. Zhirun. 2019. “Synergy development level, dynamic trajectory and convergence between work adaptability and ecological livability of Yangtze River Delta Urban Agglomeration.” J. Quant. Tech. Econ. 36 (2): 3–23.
Huang, Y. 2019. “The correlation between HSR construction and economic development—Empirical study of Chinese cities.” Transp. Res., Part A: Policy Pract. 126: 24–36. https://doi.org/10.1016/j.tra.2019.05.017.
Jia, Z., and G. Gu. 2017. “Urban livability and influencing factors in Northeast China: An empirical study based on panel data, 2007–2014.” Prog. Geogr. 36 (7): 832–842.
Jin, C., J. Xu, and Z. Huang. 2019. “Spatiotemporal analysis of regional tourism development: A semiparametric Geographically Weighted Regression model approach.” Habitat Int. 87: 1–10. https://doi.org/10.1016/j.habitatint.2019.03.011.
Law, S. H., and N. Singh. 2014. “Does too much finance harm economic growth?” J. Banking Finance 41: 36–44. https://doi.org/10.1016/j.jbankfin.2013.12.020.
Li, S., J. Zhang, and Y. Ma. 2015. “Financial development, environmental quality and economic growth.” Sustainability 7 (7): 9395–9416. https://doi.org/10.3390/su7079395.
Lima, R. C. D. A., and R. D. M. Silveira Neto. 2016. “Physical and human capital and Brazilian regional growth: A spatial econometric approach for the period 1970–2010.” Reg. Stud. 50 (10): 1688–1701. https://doi.org/10.1080/00343404.2015.1053447.
Liu, B., and D. Wang. 2012. “Research on the complexity of livable city standards and the construction of livable city.” In Proc., 24th Chinese Control and Decision Conf., 1788–1792. Piscataway, NJ: IEEE.
Liu, L. 2017. “Will China’s economic growth slowdown with the declining level of public investments?” Agro Food Ind. Hi-Tech 28 (1): 209–213.
Liu, Y., Y. Hao, and Y. Gao. 2017. “The environmental consequences of domestic and foreign investment: Evidence from China.” Energy Policy 108: 271–280. https://doi.org/10.1016/j.enpol.2017.05.055.
Luo, J. M., H. Qiu, and C. F. Lam. 2016. “Urbanization impacts on regional tourism development: A case study in China.” Curr. Issues Tourism 19 (3): 282–295. https://doi.org/10.1080/13683500.2015.1033385.
Ming, L., L. Pengfei, and Z. Huiyong. 2019. “The new era of development and balance: Spatial political economics of New China’s regional economy for 70 years.” Manage. World 35 (10): 11–23.
Okulicz-Kozaryn, A. 2013. “City life: Rankings (livability) versus perceptions (satisfaction).” Social Indic. Res. 110 (2): 433–451. https://doi.org/10.1007/s11205-011-9939-x.
Okulicz-Kozaryn, A., and R. R. Valente. 2019. “Livability and subjective well-being across European cities.” Appl. Res. Qual. Life 14 (1): 197–220. https://doi.org/10.1007/s11482-017-9587-7.
Ramos, R., J. Surinach, and M. Artís. 2012. “Regional economic growth and human capital: The role of over-education.” Reg. Stud. 46 (10): 1389–1400. https://doi.org/10.1080/00343404.2012.675140.
Song, W. 2013. “Financial development and labor productivity in China: A spatial econometric approach.” J. Ind. Econ. Bus. 26 (1): 31–48.
Sun, C., X. Li, W. Zou, S. Wang, and Z. Wang. 2018. “Chinese marine economy development: Dynamic evolution and spatial difference.” Chin. Geog. Sci. 28 (1): 111–126. https://doi.org/10.1007/s11769-017-0912-8.
Sun, H., G. Tariq, M. Haris, and M. Mohsin. 2019. “Evaluating the environmental effects of economic openness: Evidence from SAARC countries.” Environ. Sci. Pollut. Res. 26 (24): 24542–24551. https://doi.org/10.1007/s11356-019-05750-6.
Wang, J., M. Su, B. Chen, S. Chen, and C. Liang. 2011. “A comparative study of Beijing and three global cities: A perspective on urban livability.” Front. Earth Sci. 5 (3): 323–329. https://doi.org/10.1007/s11707-011-0182-1.
Wu, C., F. Ren, W. Hu, and Q. Du. 2019. “Multiscale geographically and temporally weighted regression: Exploring the spatiotemporal determinants of housing prices.” Int. J. Geog. Inf. Sci. 33 (3): 489–511. https://doi.org/10.1080/13658816.2018.1545158.
Wu, C., Y. D. Wei, X. Huang, and B. Chen. 2017. “Economic transition, spatial development and urban land use efficiency in the Yangtze River Delta, China.” Habitat Int. 63: 67–78. https://doi.org/10.1016/j.habitatint.2017.03.012.
Xiong, L., and S. Qi. 2018. “Financial development and carbon emissions in Chinese provinces: A spatial panel data analysis.” Singapore Econ. Rev. 63 (2): 447–464. https://doi.org/10.1142/S0217590817400203.
Yong, Y., D. Xue, and Z. Qiwei. 2019. “Quantitative measures and spatial effects of amenity in China.” Econ. Rev. 4: 49–61.
Zanella, A., A. S. Camanho, and T. G. Dias. 2015. “The assessment of cities’ livability integrating human wellbeing and environmental impact.” Ann. Oper. Res. 226 (1): 695–726. https://doi.org/10.1007/s10479-014-1666-7.
Zhan, D., M. Kwan, W. Zhang, J. Fan, J. Yu, and Y. Dang. 2018. “Assessment and determinants of satisfaction with urban livability in China.” Cities 79: 92–101. https://doi.org/10.1016/j.cities.2018.02.025.
Zhang, J., Q. Liu, C. Wang, and H. Li. 2017. “Spatial–temporal modeling for regional economic development: A quantitative analysis with panel data from Western China.” Sustainability 9 (11): 1955. https://doi.org/10.3390/su9111955.
Zhang, W. Z. 2016. “The core framework of the livable city construction.” Geog. Res. 35 (2): 205–213.
Zhanhua, J., and G. Guofeng. 2017. “Urban livability and influencing factors in Northeast China: An empirical study based on panel data, 2007–2014.” Prog. Geogr. 36 (7): 832–842. https://doi.org/10.18306/dlkxjz.2017.07.005.
Zhao, S., J. He, and H. Yang. 2018. “Population ageing, financial deepening and economic growth: Evidence from China.” Sustainability 10 (12): 4627. https://doi.org/10.3390/su10124627.
Zheng, Q., X. Zhao, and M. Jin. 2019. “Research on urban public green space planning based on taxi data: A case study on three districts of Shenzhen, China.” Sustainability 11 (4): 1132. https://doi.org/10.3390/su11041132.
Zhong, Z., S. Luo, W. Wang, X. Chen, Y. Wei, and W. Mo. 2017. “Analysis on influence of stock of education capital and fixed assets on GDP based on three types of regression model.” Eurasia J. Math. Sci. Technol. Educ. 13 (8): 5921–5926. https://doi.org/10.12973/eurasia.2017.01040a.
Zhou, G., K. Gong, S. Luo, and G. Xu. 2018. “Inclusive finance, human capital and regional economic growth in China.” Sustainability 10 (4): 1194. https://doi.org/10.3390/su10041194.
Zhu, D., N. Wang, L. Wu, and Y. Liu. 2017. “Street as a big geo-data assembly and analysis unit in urban studies: A case study using Beijing taxi data.” Appl. Geogr. 86: 152–164. https://doi.org/10.1016/j.apgeog.2017.07.001.

Information & Authors

Information

Published In

Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 147Issue 3September 2021

History

Received: Mar 16, 2020
Accepted: Feb 5, 2021
Published online: Apr 20, 2021
Published in print: Sep 1, 2021
Discussion open until: Sep 20, 2021

Permissions

Request permissions for this article.

Authors

Affiliations

Jingjun Hao [email protected]
Postgraduate, Business School, Univ. of Jinan, 13 Shungeng Rd., Jinan, Shan dong 250002, PR China. Email: [email protected]
Associate Professor, Business School, Univ. of Jinan, 13 Shungeng Rd., Jinan, Shan dong 250002, PR China (corresponding author). Email: [email protected]
Associate Professor, Business Administration School, Shandong Univ. of Finance and Economics, 7366 East Second Ring Rd., Jinan, Shan dong 250014, PR China. Email: [email protected]
Xiaoqing Mou [email protected]
Postgraduate, Business School, Univ. of Jinan, 13 Shungeng Rd., Jinan, Shan dong 250002, PR China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • Quantitative Approach to Assess Social Equity in Road Networks, Journal of Infrastructure Systems, 10.1061/JITSE4.ISENG-2254, 29, 4, (2023).
  • Study on coupling coordination of the human settlement environment and tourism industry in the yellow river basin, Frontiers in Environmental Science, 10.3389/fenvs.2022.1016839, 10, (2022).
  • Spatiotemporal Trends and Driving Factors of Urban Livability in the Yangtze River Delta Agglomeration, Sustainability, 10.3390/su132313152, 13, 23, (13152), (2021).
  • Booming with Speed: High-Speed Rail and Regional Green Innovation, Journal of Advanced Transportation, 10.1155/2021/9705982, 2021, (1-22), (2021).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share