Decentralization of the non-capital functions of Beijing: Industrial relocation and its environmental effects

Li, Tiankui; Liu, Yi; Wang, Chaoran; Olsson, Gustaf; Wang, Zishu; Wang, Hao

doi:10.1016/j.jclepro.2019.03.247

Cited by 21 publications

(15 citation statements)

References 54 publications

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“…According to the bibliometric data and clustering results, the research emphasis of the Beijing-Tianjin-Hebei region is the subject of urban agglomeration air pollution control. Existing studies mainly focus on the generation [7,8], impact [9,10] and treatment [11,12] of air pollution in the Beijing-Tianjin-Hebei urban agglomeration.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Rationalization and Upgrading of Industrial Structure on Carbon Emissions in the Beijing-Tianjin-Hebei Urban Agglomeration

et al. 2022

IJERPH

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Carbon dioxide mainly comes from industrial economic activities. Industrial structure optimization is an effective way to reduce carbon dioxide emissions. This paper uses the panel data of 13 cities in the Beijing-Tianjin-Hebei urban agglomeration from 2006 to 2019, uses the Theil index to calculate the industrial structure rationalization index, and uses the proportion of industrial added value to calculate the industrial structure upgrade index. By constructing the STIRPAT model, this paper quantitatively analyzes the impact of industrial structure rationalization and upgrade on carbon emissions. The results show that the rationalization and upgrading of industrial structure in the Beijing-Tianjin-Hebei urban agglomeration significantly inhibit carbon emissions. Compared with the rationalization of the industrial structure, the upgrading of industrial structure in the Beijing-Tianjin-Hebei urban agglomeration has a better effect on carbon emission reduction. For the Beijing-Tianjin-Hebei urban agglomeration, government expenditure on science and technology can promote the upgrading of industrial structure to a certain extent, thereby reducing carbon emissions. There is a big gap between the industrial structure development level of Hebei province and that of Beijing and Tianjin. Finally, based on the conclusion, this paper puts forward the policy enlightenment of promoting the optimization process of industrial structure and reducing carbon emissions of the Beijing-Tianjin-Hebei urban agglomeration.

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Section: Literature Reviewmentioning

confidence: 99%

The Impact of Rationalization and Upgrading of Industrial Structure on Carbon Emissions in the Beijing-Tianjin-Hebei Urban Agglomeration

et al. 2022

IJERPH

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“…The main reasons for IR include environmental impacts (Aus Dem Moore et al, 2019 ; Koch & Basse Mama, 2019 ; Li & Wang, 2020 ; Li et al, 2019 ; Wang et al, 2019 ; Zhang et al, 2017 ), increasing land prices (Chen et al, 2018 ; Tang et al, 2020 ), manufacturing improvements (Jiang et al, 2018 ; Liu et al, 2021b ), industrial restructuring (Kurata et al, 2020 ; Lundberg et al, 2016 ), shared value creation (Arena et al, 2020 ), and social-economic impacts (Indraprahasta et al, 2019 ; Pan et al, 2019 ; Pappas et al, 2018 ; Yang & Gallagher, 2017 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Reduction in costs is usually an outstanding opportunity with IR. Moreover, IR may lead to better infrastructure, lower land costs, and other possible benefits granted by some cities, regions, or countries (Li et al, 2019 ; Tang et al, 2020 ). IR reinforces complementary advantages among different regions and promotes coordinated regional economic development (Zhang et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Compatibility and correlation of multi-attribute decision making: a case of industrial relocation

et al. 2022

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Industrial relocation (IR) is a business strategy consisting of moving operations locations. The purpose of this paper is to present how to assess, with multi-attribute decision-making (MADM), alternatives for IR. With MADM, IR strategies can be assessed not only based on a single attribute, as costs, or profits. This paper presents the application of MADM in a real case of IR. Four leading methods of MADM were applied: analytic hierarchy process (AHP), multi-attribute utility theory (MAUT), multi-attribute value theory (MAVT), and technique of order preference by similarity to ideal solution (TOPSIS). Results of AHP, MAUT, MAVT, and TOPSIS were quite similar, indicating the decision for the company not to relocate. A joint comparison of results with compatibility indices and correlation coefficients is the major novelty presented by this paper to the field of Operations Research, known as MADM.

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“…Industrial shutdown or relocation is treated as a crucial way to reduce environmental pressure and risks [32]. The government proposed a decentralization strategy to transfer the low-end, heavy pollution industries from Beijing to surrounding cities in 2015 [33]. However, after the relocations, the former industrial parcels in the urban areas still might have potential environmental risk for a long time.…”

Section: Orientation On Industrial Land Parcels and Environmental Risksmentioning

confidence: 99%

“…The contaminated parcels are mainly distributed in southeastern Beijing, southern Tianjin, and main cities of Hebei (Figure 7). Beijing is promoting the policy of decentralization of the non-capital functions, and the industrial enterprises relocation is one of the essential tasks [33]. The identified contaminated industrial parcels will be an important issue for the urban planning and regeneration.…”

Section: Screening Soil Contamination Risk In Industrial Parcelsmentioning

confidence: 99%

Identification of Industrial Land Parcels and Its Implications for Environmental Risk Management in the Beijing–Tianjin–Hebei Urban Agglomeration

et al. 2019

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Due to rapid, sprawling urban and industrial development, urbanization in China has led to serious environmental pollution with subsequent risks to human well-being. Landscapes comprised of intermingled residential and industrial areas are common across China, which is a large challenge for effective urban planning and environmental protection. Being able to identify industrial land across the urban landscape is critical for understanding patterns of urban design and subsequent consequences for the environment. Here, we describe a method to quickly identify industrial parcels using points of interest (POIs) and large-scale spatial data. We used the Beijing–Tianjin–Hebei urban agglomeration as a case study and identified 8325 square kilometers of industrial land, accounting for 30.7% of the total built land. Based on ground-truth randomly-sampled sites, the accuracy, precision, and recall of identified industrial areas were 87.1%, 66.4%, and 68.1%, respectively. Furthermore, we found that over 350 km2 of the industrial parcels were high human settlement risks and mainly were distributed in Tianjin and Tangshan city. Over 28.8% of the identified industrial land parcels might be at the risk of potential soil contamination. The results can be helpful in future urban planning and for identifying urban areas that are targets for implementing environmental risk management and remediation.

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Decentralization of the non-capital functions of Beijing: Industrial relocation and its environmental effects

Cited by 21 publications

References 54 publications

The Impact of Rationalization and Upgrading of Industrial Structure on Carbon Emissions in the Beijing-Tianjin-Hebei Urban Agglomeration

The Impact of Rationalization and Upgrading of Industrial Structure on Carbon Emissions in the Beijing-Tianjin-Hebei Urban Agglomeration

Compatibility and correlation of multi-attribute decision making: a case of industrial relocation

Identification of Industrial Land Parcels and Its Implications for Environmental Risk Management in the Beijing–Tianjin–Hebei Urban Agglomeration

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