How does new-type urbanization promote green development efficiency in China? The mediating role of governments, enterprises, and residents
Haitao Ma , Kewen Wang , Chuanglin Fang
Geography and Sustainability ›› 2025, Vol. 6 ›› Issue (3) : 100241
How does new-type urbanization promote green development efficiency in China? The mediating role of governments, enterprises, and residents
New-type urbanization (NTU) is proposed by China to solve unsustainable issues and improve green development efficiency (GDE) during the process of rapid urbanization. However, the impact mechanism of NTU on GDE is unclear. Using panel data of 282 prefecture-level cities in China from 2010 to 2019, we measured NTU and GDE to describe their spatiotemporal pattern and relationship evolution. The fixed effects panel model and mediating effect panel model were further utilized to analyze the benchmark impact, mediating mechanism and spatiotemporal heterogeneity of NTU on GDE. The results showed that NTU improved, with the highest levels observed in the eastern region, while GDE increased with fluctuations, performing better in both the eastern and western regions. With the proportion of double-high cities increasing from 13.83 % to 43.62 %, the NTU-GDE relationship was upgraded. Overall, every 1 % improvement in NTU increased GDE by 0.3111 %, and the enterprise effect, resident effect and government effect played a positive mediating role from high to low. During the later stage of NTU, its impact on GDE strengthened significantly, and the mediating role of governments was optimized. The eastern region was the only region with three positive mediating roles of governments, enterprises and residents. These findings will promote GDE through NTU in China and serve as a valuable reference for sustainable global urbanization.
New-type urbanization / Green development efficiency / Mediating mechanism / Spatiotemporal heterogeneity / China
| [1] |
Allam, Z., Nieuwenhuijsen, M., Allam, Z., 2024. The role of European politics in steering urban environmental health policies. Environ. Res. 252 (2), 118929. doi: 10.1016/j.envres.2024.118929. |
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
Chen, M., Gong, Y., Lu, D., Ye, C., 2019a. Build a people-oriented urbanization: China’s new-type urbanization dream and Anhui model. Land Use Policy 80, 1–9. doi: 10.1016/j.landusepol.2018.09.031. |
| [8] |
Chen, L., Zhang, X., He, F., Yuan, R., 2019b. Regional green development level and its spatial relationship under the constraints of haze in China. J. Clean. Prod. 210, 376– 387. doi: 10.1016/j.jclepro.2018.11.037. |
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
Cheng, Z., Li, X., Zhang, Q., 2023. Can new-type urbanization promote the green intensive use of land? J. Environ. Manage. 342, 118150. doi: 10.1016/j.jenvman.2023.118150. |
| [15] |
|
| [16] |
|
| [17] |
Fang, C., Liu, H., Wang, S., 2021. The coupling curve between urbanization and the ecoenvironment: China’s urban agglomeration as a case study. Ecol. Indic. 130, 108107. doi: 10.1016/j.ecolind.2021.108107. |
| [18] |
|
| [19] |
|
| [20] |
Guo, Y., Xiao, Y., Yuan, Q., 2017. The redevelopment of peri-urban villages in the context of path-dependent land institution change and its impact on Chinese inclusive urbanization: the case of Nanhai, China. Cities 60, 466–475. doi: 10.1016/j.cities.2016.05.010. |
| [21] |
Gupta, S., Miranda, K., Parry, I., 1995. Public expenditure policy and the environment: a review and synthesis. World Dev. 23 (3), 515–528. doi: 10.1016/0305-750X(94)00139-P. |
| [22] |
He, X., Yu, Y., Jiang, S., 2023. City centrality, population density and energy efficiency. Energy Econ. 117, 106436. doi: 10.1016/j.eneco.2022.106436. |
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
Johnstone, N., Hascic, I., Popp, D., 2010. Renewable energy policies and technological innovation: evidence based on patent counts. Environ. Resour. Econ. 45 (1), 133–155. doi: 10.1007/s10640-009-9309-1. |
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
Liu, K., Shi, D., Xiang, W., Zhang, W., 2022a. How has the efficiency of China’s green development evolved? An improved non-radial directional distance function measurement. Sci. Total Environ. 815, 152337. doi: 10.1016/j.scitotenv.2021.152337. |
| [35] |
Liu, S., Ma, L., Yao, Y., Cui, X., 2022b. Man-land relationship based on the spatial coupling of population and residential land – a case study of Yuzhong County in Longzhong Loess Hilly Region, China. Land Use Policy 116, 106059. doi: 10.1016/j.landusepol.2022.106059. |
| [36] |
|
| [37] |
|
| [38] |
Liu, Y., Dong, X., Dong, K., 2023. Pathway to prosperity? The impact of low-carbon energy transition on China’s common prosperity. Energy Econ. 124, 106819. doi: 10.1016/j.eneco.2023.106819. |
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
Qiu, S., Wang, Z., Liu, S., 2021. The policy outcomes of low-carbon city construction on urban green development: evidence from a quasi-natural experiment conducted in China. Sust. Cities Soc. 66, 102699. doi: 10.1016/j.scs.2020.102699. |
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
Tone, K., 2004. Dealing with Undesirable Outputs in DEA: A Slacks-Based Measure (SBM) Approach. GRIPS Research Report Series 2004. |
| [58] |
Tu, D., Cai, Y., Liu, M., 2023. Coupling coordination analysis and spatiotemporal heterogeneity between ecosystem services and new-type urbanization: a case study of the Yangtze River Economic Belt in China. Ecol. Indic. 154, 110535. doi: 10.1016/j.ecolind.2023.110535. |
| [59] |
Wang, K., Ma, H., Fang, C., 2023. The relationship evolution between urbanization and urban ecological resilience in the Northern Slope Economic Belt of Tianshan Mountains, China. Sust. Cities Soc. 97, 104783. doi: 10.1016/j.scs.2023.104783. |
| [60] |
Wang, M., Janssen, A.B.G., Bazin, J., Strokal, M., Ma, L., Kroeze, C., 2022a. Accounting for interactions between Sustainable Development Goals is essential for water pollution control in China. Nat. Commun. 13 (1), 730. doi: 10.1038/s41467-022-28351-3. |
| [61] |
Wang, J., Dong, K., Dong, X., Taghizadeh-Hesary, F., 2022b. Assessing the digital economy and its carbon-mitigation effects: the case of China. Energy Econ. 113, 106198. doi: 10.1016/j.eneco.2022.106198. |
| [62] |
Wang, Z., Liang, L., Sun, Z., Wang, X., 2019a. Spatiotemporal differentiation and the factors influencing urbanization and ecological environment synergistic effects within the Beijing-Tianjin-Hebei urban agglomeration. J. Environ. Manage. 243, 227–239. doi: 10.1016/j.jenvman.2019.04.088. |
| [63] |
Wang, Z., Sun, Y., Wang, B., 2019b. How does the new-type urbanisation affect CO2 emissions in China? An empirical analysis from the perspective of technological progress. Energy Econ. 80, 917–927. doi: 10.1016/j.eneco.2019.02.017. |
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
Wu, G., Sun, M., Feng, Y., 2024. How does the new environmental protection law affect the environmental social responsibility of enterprises in Chinese heavily polluting industries? Hum. Soc. Sci. Commun. 11 (1), 168. doi: 10.1057/s41599-024-02674-6. |
| [68] |
|
| [69] |
Xie, Z., Wu, R., Wang, S., 2021. How technological progress affects the carbon emission efficiency? Evidence from national panel quantile regression. J. Clean. Prod. 307, 127133. doi: 10.1016/j.jclepro.2021.127133. |
| [70] |
|
| [71] |
|
| [72] |
|
| [73] |
Yang, C., Zeng, W., Yang, X., 2020. Coupling coordination evaluation and sustainable development pattern of geo-ecological environment and urbanization in Chongqing municipality, China. Sust. Cities Soc. 61, 102271. doi: 10.1016/j.scs.2020.102271 |
| [74] |
Yang, F., Cheng, Y., Yao, X., 2019. Influencing factors of energy technical innovation in China: evidence from fossil energy and renewable energy. J. Clean. Prod. 232, 57–66. doi: 10.1016/j.jclepro.2019.05.270. |
| [75] |
Yang, T., Zhou, K., Zhang, C., 2022. Spatiotemporal patterns and influencing factors of green development efficiency in China’s urban agglomerations. Sust. Cities Soc. 85, 104069. doi: 10.1016/j.scs.2022.104069. |
| [76] |
|
| [77] |
|
| [78] |
|
| [79] |
|
| [80] |
Zhang, J., Chang, Y., Zhang, L., Li, D., 2018a. Do technological innovations promote urban green development? —A spatial econometric analysis of 105 cities in China. J. Clean. Prod. 182, 395–403. doi: 10.1016/j.jclepro.2018.02.067. |
| [81] |
Zhang, Y., Liu, Z., Zhou, S., Qin, C., Zhang, H., 2018b. The impact of China’s Central Rise Policy on carbon emissions at the stage of operation in road sector. Econ. Model. 71, 159–173. doi: 10.1016/j.econmod.2017.12.009. |
| [82] |
|
| [83] |
Zhang, W., Xu, Y., Jiang, L., Streets, D.G., Wang, C., 2023a. Direct and spillover effects of new-type urbanization on CO2 emissions from central heating sector and EKC analyses: evidence from 144 cities in China. Resour. Conserv. Recycl. 192, 106913. doi: 10.1016/j.resconrec.2023.106913. |
| [84] |
Zhang, Z., Shi, K., Gao, Y., Feng, Y., 2023b. How does environmental regulation promote green technology innovation in enterprises? A policy simulation approach with an evolutionary game. J. Environ. Plan. Manag. 219, 108137. doi: 10.1080/09640568.2023.2276064. |
| [85] |
|
| [86] |
|
| [87] |
Zhao, H., Chen, S., Zhang, W., 2023b. Does digital inclusive finance affect urban carbon emission intensity: evidence from 285 cities in China. Cities 142, 104552. doi: 10.1016/j.cities.2023.104552. |
| [88] |
Zhao, M., Sun, T., Feng, Q., 2021. Capital allocation efficiency, technological innovation and vehicle carbon emissions: evidence from a panel threshold model of Chinese new energy vehicles enterprises. Sci. Total Environ. 784, 147104. doi: 10.1016/j.scitotenv.2021.147104. |
| [89] |
|
| [90] |
|
| [91] |
Zhou, C., Wang, S., Wang, J., 2019. Examining the influences of urbanization on carbon dioxide emissions in the Yangtze River Delta, China: Kuznets curve relationship. Sci. Total Environ. 675, 472–482. doi: 10.1016/j.scitotenv.2019.04.269. |
| [92] |
|
/
| 〈 |
|
〉 |