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Sustainability
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  • Open Access

24 January 2025

Correction: Li et al. The Opening of High-Speed Railway and Coordinated Development of the Core–Periphery Urban Economy in China. Sustainability 2023, 15, 4677

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1
School of Economics, Shandong University of Technology (SDUT), Zibo 255049, China
2
Department of Basic Sciences and Humanities, Dawood University of Engineering and Technology, Karachi 74800, Pakistan
3
School of Economics and Management, Southeast University, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
The authors would like to make the following corrections about the published paper [1]. The changes are as follows:
(1)
Deleting the references.
Readers noticed that there are unjust references cited in this paper. After checking with the Editorial Board, the authors decided to delete References [30–40].
30.
Ahmed, U.; Ying, L.; Bashir, M.; Abid, M.; Elahi, E.; Iqbal, M. Access to output market by small farmers: The case of Punjab, Pakistan. J. Anim. Plant Sci. 2016, 26, 787–793.
31.
Peng, B.; Chen, H.; Elahi, E.; Wei, G. Study on the spatial differentiation of environmental governance performance of Yangtze river urban agglomeration in Jiangsu province of China. Land Use Policy 2020, 99, 105063.
32.
Zhao, X.; Peng, B.; Elahi, E.; Zheng, C.; Wan, A. Optimization of Chinese coal fired power plants for cleaner production using Bayesian network. J. Clean. Prod. 2020, 273, 122837.
33.
Zhao, Y.; Peng, B.; Elahi, E.; Wan, A. Does the extended producer responsibility system promote the green technological innovation of enterprises? An empirical study based on the differenc-in-differences model. J. Clean. Prod. 2021, 319, 128631.
34.
Zhong, Z.; Peng, B.; Xu, L.; Andrews, A.; Elahi, E. Analysis of regional energy economic efficiency and its influencing factors: A case study of Yangtze River urban agglomeration. Sustain. Energy Technol. Assess. 2020, 41, 100784.
35.
Altangerel, O.; Ruimei, W.; Elahi, E.; Dash, B. Investigating the effect of job stress on performance of employees. Int. J. Sci. Technol. Res. 2015, 4, 276–280.
36.
Elahi, E.; Khalid, Z. Estimating smart energy inputs packages using hybrid optimization technique to mitigate environmental emissions of commercial fish farms. Appl. Energy 2022, 326, 119602.
37.
Elahi, E.; Khalid, Z.; Tauni, M.Z.; Zhang, H.; Lirong, X. Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan. Technovation 2022, 117, 102255.
38.
Elahi, E.; Zhang, L.; Abid, M.; Javed, M.T.; Xinru, H. Direct and indirect effects of wastewater use and herd environment on the occurrence of animal diseases and animal health in Pakistan. Environ. Sci. Pollut. Res. 2017, 24, 6819–6832.
39.
Elahi, E.; Zhang, Z.; Khalid, Z.; Xu, H. Application of an artificial neural network to optimise energy inputs: An energy-and cost-saving strategy for commercial poultry farms. Energy 2022, 244, 123169.
40.
Scaringella, L.; Chanaron, J.J. Grenoble–GIANT Territorial Innovation Models: Are investments in research infrastructures worthwhile? Technol. Forecast. Soc. Change 2016, 112, 92–101.
(2)
Replacing the following sentence in “Section 3.1. Model Construction”
“where GAPit represents the level of coordinated regional development of city i in year t. The variable HSRit is the dummy variable for whether city i opens a high-speed railway in year t. Controls represents the control variable. μi and νt are the fixed effects of city and year, respectively. εit is the random error term assumed to be normally distributed at zero mean value (Ahmed et al., 2016 [30]; Peng et al., 2020 [31]; Zhao et al., 2020; Zhao et al., 2021; Zhong et al., 2020 [32–34]) and constant variance (Altangerel et al., 2015 [35]; Elahi and Khalid, 2022 [36]; Elahi, Khalid, et al., 2022 [37]; Elahi et al., 2017 [38]; Elahi, Zhang, et al., 2022 [39]; Scaringella and Chanaron, 2016 [40]).”
with
“where GAPit represents the level of coordinated regional development of city i in year t. The variable HSRit is the dummy variable for whether city i opens a high-speed railway in year t. Controls represents the control variable. μi and νt are the fixed effects of city and year, respectively. εit is the random error term assumed to be normally distributed at zero mean value and constant variance.”
(3)
Modifying the authors’ names.
Replacing the names of Peng Cheng and Wang Jian to Cheng Peng and Jian Wang. The author’s initials also need to be modified.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Li, J.; Elahi, E.; Peng, C.; Wu, A.; Cao, F.; Wang, J.; Abro, M.I.; Khalid, Z. The Opening of High-Speed Railway and Coordinated Development of the Core–Periphery Urban Economy in China. Sustainability 2023, 15, 4677. [Google Scholar] [CrossRef]
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