Synergy Effect of Regional Industrial Agglomeration and Urbanization

Wang, Congsheng; Mao, Guangxiong; Hsu, Wei-Ling

doi:10.18494/sam.2021.3039

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Jiangsu province has a well-developed economy and is the leading province in terms of informatization and smart city development. By actively promoting the in-depth integration of informatization and industrialization, reinforcing the application of e-government, strengthening information services for the people, promoting the upgrading of information facilities, improving the information industry, and strengthening information security, Jiangsu has achieved the comprehensive reinforcement of the informatization development [46,60]. In 2016, the informatization development index in Jiangsu reached 89.17%, and the size of the information economy reached RMB 2 trillion, accounting for 32.15% of GDP.…”

Section: Overview Of Smart City Development In Jiangsumentioning

confidence: 99%

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Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China

Hsu

Qiao

et al. 2021

Sustainability

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With the rapid development of smart cities all over the world, the evaluation of the smart city has become a new research hotspot in the academic circles. Nevertheless, there still exist a series of common problems in current smart city evaluation, including the cognitive deprivation, lack of experience in planning, low coordination level, etc. Therefore, it is critical to establish a new hierarchy for smart city evaluation indicators, especially in the 5G era. Based on literature review, expert consensus, and the fuzzy analytic hierarchy process, this study developed an innovative smart city evaluation framework. In the framework, an index comprising three dimensions, i.e., smart economy, smart society, and smart environmental protection, as well as several attributes for these dimensions for smart city evaluation were established. Then, taking Jiangsu Province, the fastest-growing province in China, as the research area, the development level of smart city for the cities in Jiangsu was calculated. The results have verified the effectiveness of the framework, which can provide suggestions for sustainable urbanization, and help urban decision-makers to promote the efficient development of smart cities.

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Section: Overview Of Smart City Development In Jiangsumentioning

confidence: 99%

“…Smart economy: Smart city shows outstanding performance in productivity [31]; to be specific, the labor market shows high flexibility and welcomes human resources that can increase wealth [35,41]. Smart city attaches great importance to creativity and favorably receives new ideas [19,44,[46][47][48], which can contribute to the growth of GDP [49].…”

mentioning

confidence: 99%

Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China

Hsu

Qiao

et al. 2021

Sustainability

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“…To achieve industrial synergy, each industry needs to utilize internal resources, brands, funds, information, and other factors within the group to accelerate its development speed and realize the maximization of group interests [6]. At present, industrial synergy has become a hotspot [7,8]. Some studies have analyzed the efficiency of the ice-snow tourism industry using the DEA (Data Envelopment Analysis) model [9].…”

Section: Introductionmentioning

confidence: 99%

The Spatial Synergy of the Ice–Snow Tourism Industry and Its Related Industries in Jilin Province

Cai

Yang

2023

Sustainability

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The rapid development of the ice–snow tourism industry in recent years has promoted the sustainable development of the regional economy, and it has become one of the critical supporting industries affecting local economic development. However, there is an obvious imbalance in the ice–snow tourism industry in the region, resulting in significant differences in the synergy between the ice–snow tourism industry and its related industries in the country. This study used grey relation analysis, Copula joint function, and structural equation methods to analyze the correlation and interaction between the ice–snow tourism industry and other regional industries. It analyzed the synergistic relationship between the ice–snow tourism industry and its related industries in Jilin Province. The results showed that the ice–snow tourism industry highly correlates with the financial, real estate, and other service industries. The contribution rate of ice–snow tourism to the three closely related service industries has reached 25.1%. This study provides decision-making support for the synergistic development of regional and ice–snow industries.

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Research on the evaluation and enhancement strategies of manufacturing clustered supply chain synergies

Gao,

Liu,

Guan

et al. 2024

BPMJ

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PurposeThis paper takes the manufacturing cluster supply chain as the research object and explores the evaluation and enhancement strategy of manufacturing cluster supply chain synergy. The purpose of this study was to (1) analyze the mechanism of manufacturing cluster supply chain synergy; (2) construct manufacturing cluster supply chain synergy evaluation model; (3) algorithm realization of manufacturing cluster supply chain synergy evaluation and (4) propose manufacturing cluster-based supply chain synergy enhancement strategy.Design/methodology/approachBreaking through the limitations of traditional manufacturing cluster supply chain synergy evaluation, we take horizontal synergy and vertical synergy as coupled synergy subsystems, use the complex system synergy model to explore the horizontal synergy between core enterprises and cluster enterprises and the vertical synergy of supply chain enterprises and use the coupling coordination model to construct the coupled synergy evaluation model of manufacturing cluster supply chain, which is an innovation of the evaluation perspective of previous cluster supply chain synergy and also an enrichment and supplementation of the evaluation methodology. This is not only the innovation of the evaluation perspective but also the enrichment and supplementation of the evaluation method.FindingsUsing Python software to conduct empirical analysis on the evaluation model, the research shows that the horizontal and vertical synergies of the manufacturing cluster supply chain interact with each other and jointly affect the coupling synergy. On this basis, targeted strategies are proposed to enhance the synergy of the manufacturing cluster supply chain.Research limitations/implicationsThis study takes manufacturers, suppliers and sellers in the three-level supply chain as the research object and does not consider the synergistic evaluation between distributors and consumers in the supply chain, which can be further explored in this direction in the future.Practical implicationsAdvanced manufacturing clusters, as the main force of manufacturing development, and the synergistic development of supply chain are one of the important driving forces for the high-quality development of China’s manufacturing industry. As a new type of network organization coupling industrial clusters and supply chains, cluster supply chain is conducive not only to improving the competitiveness of cluster supply chains but also to upgrading cluster supply chains through horizontal synergy within the cluster and vertical synergy in the supply chain.Social implicationsResearch can help accelerate the transformation and upgrading of clustered supply chains in the manufacturing industry, promote high-quality development of the manufacturing industry and accelerate the rise of the global value chain position of the manufacturing industry.Originality/value(1) Innovation of research perspective. Starting from two perspectives of horizontal synergy and vertical synergy, we take a core enterprise in the cluster supply chain as the starting point, horizontally explore the main enterprises of the cluster as the research object of horizontal synergy, vertically explore the upstream and downstream enterprises of the supply chain as the research object of vertical synergy and explore the coupling synergy of cluster supply chain as two subsystems, which provides new perspectives of evaluation of the degree of synergy and synergy evaluation. (2) Innovation of research content. Nine manufacturing clusters are selected as research samples, and through data collection and model analysis, it is verified that the evaluation model and implementation algorithm designed in this paper have strong practicability, which not only provides methodological reference for the evaluation of manufacturing cluster-type supply chain synergy but also reduces the loss caused by the instability of clusters and supply chains and then provides a theoretical basis for improving the overall performance of cluster-type supply chains.

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Synergy Effect of Regional Industrial Agglomeration and Urbanization

Cited by 3 publications

References 5 publications

Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China

Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China

The Spatial Synergy of the Ice–Snow Tourism Industry and Its Related Industries in Jilin Province

Research on the evaluation and enhancement strategies of manufacturing clustered supply chain synergies

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