The Impact of Mature National High-Tech Zone Development on Sustainable Smart City Development in China Article Swipe
Yun Qiu
,
Min Huang
,
Yuchen Cao
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.54691/bcpbm.v24i.1443
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.54691/bcpbm.v24i.1443
In recent years, the rapid economic development of China's regions has led to a significant increase in urbanization, but this has been accompanied by significant resource consumption and pollutant emissions. So it is crucial to enhance sustainable development while achieving efficient urban development. Also National High-Tech Industrial Development Zones (NHTIDZs) have enhanced regional industrial agglomeration and technological innovation. This paper measured the Sustainable Smart Development level of cities and the development level of NHTIDZs. And using linear regression confirmed that high-tech zone development is closely related to urban development. Then used an Artificial Neural Network model to investigate the deeper correlation between the two. The results demonstrated that. (1) Although National High-tech Zone Index (NHTZI) had a significant effect on Sustainable smart cities index (SSCI), the effect was less than its grading index. (2) The ANN analysis shows that the Scale of the NHTIDZs has the greatest impact on the SSCI and also on the four SSCI classification indicators.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.54691/bcpbm.v24i.1443
- http://bcpublication.org/index.php/BM/article/download/1443/1453
- OA Status
- diamond
- Cited By
- 1
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4291011176
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4291011176Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.54691/bcpbm.v24i.1443Digital Object Identifier
- Title
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The Impact of Mature National High-Tech Zone Development on Sustainable Smart City Development in ChinaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-08-10Full publication date if available
- Authors
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Yun Qiu, Min Huang, Yuchen CaoList of authors in order
- Landing page
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https://doi.org/10.54691/bcpbm.v24i.1443Publisher landing page
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https://bcpublication.org/index.php/BM/article/download/1443/1453Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://bcpublication.org/index.php/BM/article/download/1443/1453Direct OA link when available
- Concepts
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Sustainable development, Urbanization, China, High tech, Index (typography), Economies of agglomeration, Business, Scale (ratio), Geography, Regional science, Economic growth, Economic geography, Environmental economics, Economics, Computer science, Cartography, Political science, Law, Archaeology, World Wide WebTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.level | 65, 71 |
| abstract_inverted_index.model | 95 |
| abstract_inverted_index.paper | 59 |
| abstract_inverted_index.rapid | 4 |
| abstract_inverted_index.shows | 137 |
| abstract_inverted_index.smart | 121 |
| abstract_inverted_index.that. | 107 |
| abstract_inverted_index.urban | 41, 87 |
| abstract_inverted_index.using | 75 |
| abstract_inverted_index.while | 38 |
| abstract_inverted_index.Neural | 93 |
| abstract_inverted_index.cities | 67, 122 |
| abstract_inverted_index.deeper | 99 |
| abstract_inverted_index.effect | 118, 126 |
| abstract_inverted_index.impact | 147 |
| abstract_inverted_index.index. | 132 |
| abstract_inverted_index.linear | 76 |
| abstract_inverted_index.recent | 1 |
| abstract_inverted_index.years, | 2 |
| abstract_inverted_index.(NHTZI) | 114 |
| abstract_inverted_index.(SSCI), | 124 |
| abstract_inverted_index.China's | 8 |
| abstract_inverted_index.NHTIDZs | 143 |
| abstract_inverted_index.Network | 94 |
| abstract_inverted_index.between | 101 |
| abstract_inverted_index.closely | 84 |
| abstract_inverted_index.crucial | 33 |
| abstract_inverted_index.enhance | 35 |
| abstract_inverted_index.grading | 131 |
| abstract_inverted_index.regions | 9 |
| abstract_inverted_index.related | 85 |
| abstract_inverted_index.results | 105 |
| abstract_inverted_index.Although | 109 |
| abstract_inverted_index.NHTIDZs. | 73 |
| abstract_inverted_index.National | 44, 110 |
| abstract_inverted_index.analysis | 136 |
| abstract_inverted_index.economic | 5 |
| abstract_inverted_index.enhanced | 51 |
| abstract_inverted_index.greatest | 146 |
| abstract_inverted_index.increase | 15 |
| abstract_inverted_index.measured | 60 |
| abstract_inverted_index.regional | 52 |
| abstract_inverted_index.resource | 25 |
| abstract_inverted_index.(NHTIDZs) | 49 |
| abstract_inverted_index.High-Tech | 45 |
| abstract_inverted_index.High-tech | 111 |
| abstract_inverted_index.achieving | 39 |
| abstract_inverted_index.confirmed | 78 |
| abstract_inverted_index.efficient | 40 |
| abstract_inverted_index.high-tech | 80 |
| abstract_inverted_index.pollutant | 28 |
| abstract_inverted_index.Artificial | 92 |
| abstract_inverted_index.Industrial | 46 |
| abstract_inverted_index.emissions. | 29 |
| abstract_inverted_index.industrial | 53 |
| abstract_inverted_index.regression | 77 |
| abstract_inverted_index.Development | 47, 64 |
| abstract_inverted_index.Sustainable | 62, 120 |
| abstract_inverted_index.accompanied | 22 |
| abstract_inverted_index.consumption | 26 |
| abstract_inverted_index.correlation | 100 |
| abstract_inverted_index.development | 6, 37, 70, 82 |
| abstract_inverted_index.indicators. | 158 |
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| abstract_inverted_index.demonstrated | 106 |
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| abstract_inverted_index.agglomeration | 54 |
| abstract_inverted_index.technological | 56 |
| abstract_inverted_index.urbanization, | 17 |
| abstract_inverted_index.classification | 157 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.47999998927116394 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.45664275 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |