Innovation-Driven Industrial Agglomeration Impact on Green Economic Growth in the Yellow River Basin: An Empirical Analysis

Ran Feng () and Xiaoe Qu
Additional contact information
Ran Feng: School of Economic and Finance, Xian Jiaotong University, Xi’an 710061, China
Xiaoe Qu: School of Economic and Finance, Xian Jiaotong University, Xi’an 710061, China

Sustainability, 2023, vol. 15, issue 17, 1-24

Abstract: Harnessing empirical analysis, this paper investigates the relationship between innovation-driven industrial agglomeration (IDIA) and economic growth (GEG) in the context of the Yellow River Basin in China. The study employs a non-radial and non-angular SBM ML model to comprehensively evaluate GEG levels. Leveraging panel data spanning from 2008 to 2020 across 30 provinces and cities, the analysis systematically explores the influence of IDIA on GEG. The research uncovers a significant positive connection between IDIA and GEG, with a noteworthy impact observed particularly in underdeveloped regions, areas in intermediate stages of industrialization, and industries characterized by heightened pollution levels. Importantly, the study reveals that green technology adoption (GTA) acts as a critical mediator between IDIA and GEG, particularly within the context of dirty manufacturing firms that are transitioning from mid-level industrialization. These findings provide valuable insights for policymakers and industry stakeholders, enabling them to devise targeted strategies for driving green technology adoption and fostering sustainable economic growth. While this study contributes significantly to our understanding, it is important to acknowledge its limitations, including the specific geographical focus on the Yellow River Basin and the potential complexities inherent in assessing the intricate relationship between industrial agglomeration and economic growth. Future research avenues could extend to broader geographical contexts and delve into more nuanced mechanisms underlying the observed connections.

Keywords: innovation-driven industrial agglomeration; green economic growth; green technologies adoption; environmental sustainability; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/17/13264/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/17/13264/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:17:p:13264-:d:1232703

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().