Does Manufacturing Agglomeration Promote Or Hinder Green Development Efficiency? Evidence From Yangtze River Economic Belt, China

Zou, Longhui; Feng, Yidai; Huang, Lei

doi:10.21203/rs.3.rs-1123875/v1

Cited by 8 publications

(4 citation statements)

References 64 publications

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“…Based on research in the field of innovation driving and green development over the years [11][12], it is evident that there are primarily four driving factors: technological, industrial, policy, and market-driven factors. Building upon these four dimensions, we derived eight indicator levels, including technology research and development, the number of patents, economic foundations, enterprise development, environmental planning, management systems, human capital, and external engagement [13][14][15].…”

Section: Selection Of Indicatorsmentioning

confidence: 99%

Research on the Driving Factors of Regional Innovation Quality Based on Multiple Linear Regression Model

Wang,

2024

Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023

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The efficiency of urban green development is deeply rooted in the innovation capabilities of urban clusters. Adhering to innovation-driven strategies to lead green development enhances the innovation quality of urban clusters. This study employs grey comprehensive evaluation to select indicators that represent innovation quality and establishes a principal component regression model for researching the driving factors of innovation quality in the Yangtze River Delta urban cluster. Empirical research is conducted using data related to the overall green innovation quality driving factors for 41 cities in the Yangtze River Delta from 2010 to 2020. The study indicates that the regional gross domestic product (GDP) is the most representative indicator of innovation quality. Factors such as technological research and development, the number of patents, economic foundations, and business development exhibit significant positive effects, while environmental planning, management systems, human capital, and international openness show significant negative effects. To enhance the innovation quality in the Yangtze River Delta, it is essential to address the deficiencies in policy and market-driven approaches. Emphasizing green, high-quality development, taking into consideration both economic and ecological benefits, enhancing technological innovation capabilities, and aligning expansion of business plans with environmental planning are key strategies. Additionally, optimizing the structure and quality of higher education, making sensible investments in human capital, and focusing on the quality of foreign capital inflow are crucial steps towards achieving this goal.

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Section: Selection Of Indicatorsmentioning

confidence: 99%

Research on the Driving Factors of Regional Innovation Quality Based on Multiple Linear Regression Model

Wang,

2024

Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023

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“…Embedding sustainability in corporate performance is one of the most important ways to achieve high-quality economic development. Most recent research on sustainable development performance focuses on the macro-level and meso-level, such as the country (Feng et al, 2017;Gao, 2019a;Du and Ma 2019), province Xie et al, 2022), economic belt (Gao, 2019b;Cui et al, 2021;, industry (Sun et al, 2021;Xu et al, 2022b;Yuan et al, 2022) and city (Jin et al, 2019;Guo and Zhou, 2021). However, few studies directly explore SCP from a micro perspective.…”

Section: Sustainable Corporate Performancementioning

confidence: 99%

How sustainable business model innovation and green technology innovation interact to affect sustainable corporate performance

Zhou

Pan

Tian

et al. 2023

Front. Environ. Sci.

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Sustainable business model innovation (SBMI) and green technology innovation (GTI) are keys to creating shared social and business value, and both are essential elements of responsible innovation. However, SBMI or GTI is unable to develop a sustainable business. The main purpose of this study is to analyze sustainable dual innovation as a conceptual framework based on the panel data of 1468 Chinese manufacturing A-share listed companies from 2010 to 2020, and it has obtained three essential findings. First, there is a significant matching effect between SBMI and GTI on sustainable corporate performance (SCP). Companies report higher levels of SCP when there is a higher congruence in SBMI with GTI. Secondly, organizations with high SBMI-low GTI realize superior SCP compared to organizations with low SBMI-high GTI. The high SBMI-low GTI becomes an ideal choice for most companies and avoids the “destructive factors” brought by low SBMI-high GTI. Finally, a highly aggressive corporate strategy has a “magnifying effect” on the impact of the combination of SBMI and GTI on SCP. The research provides a comprehensive understanding and collective impact of SBMI and GTI on SCP. Overall, findings provide a theoretical basis for enterprises to decide on the consistency/inconsistency trade-off between SBMI and GTI. Moreover, it encourages to enterprises must develop an aggressive strategy to balance.

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“…Refs. [37,38] examined GDE based on the data of 61 prefecture-level cities in the Yellow River Basin in China from 2005 to 2017, while [39] was interested in the Yangtze River Economic Belt in China. There are also some studies focusing on specific industries, such as the tourism industry [40], the chemical industry [41] and the cultural industry [42].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Pollutant emission is an undesirable output in the process of urban green development. This paper draws on the research of [39,57] and uses the principal component synthesis method to synthesize the emissions of three pollutants in secondary indicators into total pollutant emissions.…”

Section: Data Sourcesmentioning

confidence: 99%

The Effect of Industrial Structure Upgrading and Human Capital Structure Upgrading on Green Development Efficiency—Based on China’s Resource-Based Cities

Shen

Liu

et al. 2023

Sustainability

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Green development is crucial to global natural resource conservation, environmental improvement and sustainable development. Furthermore, resource-based cities’ green development is more challenging compared with that of other types of cities. On such basis, it is a necessity to understand the green development level of such cities. Therefore, we introduce green development efficiency (GDE), which is a key indicator for measuring green development. This paper takes China’s 112 resource-based cities during 2010–2019 as its research object, and examines their GDE using the Super-SBM-Undesirable model. Moreover, industrial structure upgrading (ISU) and human capital structure upgrading (HCSU) have important implications for green development. To further explore the influence of ISU and HCSU on GDE, this paper employs a fixed effect model, an interaction effect model and a threshold model. Finally, considering the differences between different resource-based cities, the heterogeneity of ISU and HSCU on GDE in four types of China’s resource-based cities is also explored. It is found that (1) although GDE is on the track of steady improvement, the overall GDE was still relatively low during 2010–2019, with an average GDE of about 0.8; (2) ISU, HCSU and their interaction can promote GDE in resource-based cities and with the intensity of industrial structure increasing, the interaction effect of ISU and HSCU on GDE in resource-based cities shifts from positive to negative; (3) there exists heterogeneity in the direct effect and interaction effect of ISU and HCSU among four types of resource-based cities (i.e., mature cities, growing cities, declining cities and regenerating cities). Our findings offer a data reference for the green and sustainable development of China’s resource-based cities, and also a method reference for other countries’ resource-based cities.

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Does Manufacturing Agglomeration Promote Or Hinder Green Development Efficiency? Evidence From Yangtze River Economic Belt, China

Cited by 8 publications

References 64 publications

Research on the Driving Factors of Regional Innovation Quality Based on Multiple Linear Regression Model

Research on the Driving Factors of Regional Innovation Quality Based on Multiple Linear Regression Model

How sustainable business model innovation and green technology innovation interact to affect sustainable corporate performance

The Effect of Industrial Structure Upgrading and Human Capital Structure Upgrading on Green Development Efficiency—Based on China’s Resource-Based Cities

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