Evidence map›Paper›PMID 38393565›Full record

ArticleEnvironmental science and pollution research international2024

Influence mechanism of industrial agglomeration on carbon emission intensity-a perspective on borrowing performance.

Dongjing Chen, Yachong Wang

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Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Dongjing ChenSchool of Economics, Qingdao University, Qingdao, 266071, China. cdongj@qdu.edu.cn.ORCID http://orcid.org/0000-0002-7283-1087
Yachong WangSchool of Economics, Qingdao University, Qingdao, 266071, China.

Funding

National Social Science Fund of China 21BGL269Qingdao Social Science Planning Research Project QDSKL2301057
6 · The paper itself

Abstract

Under the background of urban connectivity, whether there are similarities and differences in the impacts of local industrial agglomeration and inter-city industrial agglomeration borrowing performance on carbon emission intensity(CI), and how cities can fully utilize the external force-borrowing performance to reduce local CI, these issues are of great significance for the cost saving and efficiency enhancement in the process of carbon emission (CE) reduction. Based on panel data of 280 prefecture-level cities in China from 2003 to 2020, the panel dual fixed-effect model, instrumental variable method, and adjustment effect model were used to analyze the impacts of the manufacturing agglomeration (MA), producer service agglomeration (PA), and the collaborative agglomeration (CA) on the CI from the perspective of individual cities and the urban system. The results showed that the influence of MA on CI presents a significant inverted U-shaped relationship, PA significantly reduces CI, and the CA of the two industries increases CI. Further analysis showed that the borrowing MA performance improves CI, especially in newer industrial-based cities, non-resource-based cities, and medium and big cities; the borrowing PA performance reduces CI, especially in old industrial-based cities, non-resource-based cities, and large cities; and the borrowing CA performance has no significant effect on CI. In addition, the development of the Internet strengthens the influence of borrowing performance in MA and PA on CI.

Indexed as

CommerceIndustryCarbonChinaCitiesCarbonBorrowing performanceCarbon emission intensityIndustrial collaborative agglomerationInternet developmentManufacturing agglomerationProducer service agglomeration

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.