Evaluation and Temporal-Spatial Evolution of Regional New and Old Driving Force Conversion in Shandong Province

Wu, Xiuguo; Wang, Sipeng

doi:10.3390/su142214805

Cited by 3 publications

(5 citation statements)

References 21 publications

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“…In the year 2017, following this policy, the Zibo government formulated coping strategies and initiated the transformation of both established and emerging driving forces [ 47 ]. Many heavy chemical firms in the Zhangdian district have begun to pursue transformation and upgrading to change the economic development model, slow the rate of economic growth, and improve economic quality [ 48 , 49 ]. In 2018, the study area closed hundreds of low-efficiency and high-pollution enterprises and focused on industrial agglomeration.…”

Section: Discussionmentioning

confidence: 99%

Precise GDP Spatialization and Analysis in Built-Up Area by Combining the NPP-VIIRS-like Dataset and Sentinel-2 Images

Chen,

Wang,

Zong

et al. 2024

Sensors

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Spatialization and analysis of the gross domestic product of second and tertiary industries (GDP23) can effectively depict the socioeconomic status of regional development. However, existing studies mainly conduct GDP spatialization using nighttime light data; few studies specifically concentrated on the spatialization and analysis of GDP23 in a built-up area by combining multi-source remote sensing images. In this study, the NPP-VIIRS-like dataset and Sentinel-2 multi-spectral remote sensing images in six years were combined to precisely spatialize and analyze the variation patterns of the GDP23 in the built-up area of Zibo city, China. Sentinel-2 images and the random forest (RF) classification method based on PIE-Engine cloud platform were employed to extract built-up areas, in which the NPP-VIIRS-like dataset and comprehensive nighttime light index were used to indicate the nighttime light magnitudes to construct models to spatialize GDP23 and analyze their change patterns during the study period. The results found that (1) the RF classification method can accurately extract the built-up area with an overall accuracy higher than 0.90; the change patterns of built-up areas varied among districts and counties, with Yiyuan county being the only administrative region with an annual expansion rate of more than 1%. (2) The comprehensive nighttime light index is a viable indicator of GDP23 in the built-up area; the fitted model exhibited an R2 value of 0.82, and the overall relative errors of simulated GDP23 and statistical GDP23 were below 1%. (3) The year 2018 marked a significant turning point in the trajectory of GDP23 development in the study area; in 2018, Zhoucun district had the largest decrease in GDP23 at −52.36%. (4) GDP23 gradation results found that Zhangdian district exhibited the highest proportion of high GDP23 (>9%), while the proportions of low GDP23 regions in the remaining seven districts and counties all exceeded 60%. The innovation of this study is that the GDP23 in built-up areas were first precisely spatialized and analyzed using the NPP-VIIRS-like dataset and Sentinel-2 images. The findings of this study can serve as references for formulating improved city planning strategies and sustainable development policies.

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Section: Discussionmentioning

confidence: 99%

Precise GDP Spatialization and Analysis in Built-Up Area by Combining the NPP-VIIRS-like Dataset and Sentinel-2 Images

Chen,

Wang,

Zong

et al. 2024

Sensors

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“…Due to the increasing number of international events aimed at boosting competitiveness in the global economy, understanding economic progress and urban spatial structure is crucial for long-term development in SEZs [32]. Sustainable development necessitates the commitment, support, and engagement of the government, businesses, and the people [33].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Different methods for sustainability and spatial restructuring assessments have been utilized, including the analytical hierarchy process approach [36], urban expansion as an evaluation index [37], GIS-based spatial correlation analysis [38], temporal-spatial evolution [33], a regional sustainability strategy [39], and the effect of SEZs on FDI [40], to assess strategic sustainability, spatial expansion, demographic changes, regional new and old driving forces, zoning methods, and place-based policy, respectively. Differences in regional industrial structure and spatial restructuring result in sustainability differences.…”

Section: Literature Reviewmentioning

confidence: 99%

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Impacts of the Belt and Roads Initiative on Sustainability: Local Approaches to Spatial Restructuring in the Aras Special Economic Zones

Jafarzadeh

Yang

2023

Sustainability

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Spatial restructuring and regional economic development are closely associated with sustainability. Despite the considerable literature on urbanization’s impact on sustainable economic development and urban expansion, few studies have explored how FDI-led spatial restructuring affects the sustainability from a local people perspective. To fill this gap, in-depth interviews were conducted with 516 residents of Aras special economic zones in Iran to assess the impacts and responses to economic shifts and spatial restructuring resulting from the Belt and Road Initiative since 2013. Using the DPSIR framework and sustainability index as an evaluation tool, we assessed the degree of sustainability and viable uplift at the regional level. The Genetic Algorithm (GA) was also utilized to determine optimal values based on local approaches. Results indicate that regional heterogeneity, excessive state pressure, and development imbalances impact the study area. The findings enrich the theory of sustainability and can guide the formulation of spatial restructuring, decision-making, and policies at different stages of regional development. In addition to financial progress, people-centered development planning using local approaches should be a component of the development of special economic zones.

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“…According to the results of the static and dynamic evaluation of logistics efficiency, the following suggestions and countermeasures should be taken to improve logistics efficiency under the new retailing model at present [63,64].…”

Section: Suggestions and Countermeasures On Logistics Efficiency Impr...mentioning

confidence: 99%

Logistics Efficiency Evaluation and Empirical Research under the New Retailing Model: The Way toward Sustainable Development

Jiang,

Wu,

Yin

2023

Sustainability

Self Cite

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As an innovative retailing mode, “new retailing” is making the distinction between physical and virtual commerce obsolete, where offline stores attract customers and supply them with the opportunity of experiences, and online stores provide services for placing orders and transactions. However, many new retailing companies are beset by their logistics efficiency evaluations because evaluation indicators and methods differ significantly from those with traditional business patterns. In this way, considering the sustainable development principle, this study focuses on the approach of logistics efficiency evaluation and empirical analysis under the new retailing model, explores the main factors related to logistics efficiency improvement, and proposes corresponding measures to reinforce the core competence of companies. We first establish a novel logistics efficiency evaluation index system by word frequency and correlation analysis from a sustainable development view, including six first-level indicators and twenty-seven second-level indicators; then, the logistics efficiency evaluation framework is presented: the static evaluation is made using cross-efficiency DEA and IAHP entropy; the dynamic evaluation is performed using the Malmquist index. After that, a demonstrated analysis of logistics efficiency is conducted with 15 listed companies in China. Furthermore, efficiency-influencing factors are identified using Tobit regression, and countermeasures are proposed to promote the development of new retailing. Comparison results show that the proposed logistics efficiency evaluation framework can be scientific and reliable, helping managers to identify the weaknesses and influencing factors in enterprise logistics operations, therefore improving the performance and competitiveness of new retailing companies.

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Evaluation and Temporal-Spatial Evolution of Regional New and Old Driving Force Conversion in Shandong Province

Cited by 3 publications

References 21 publications

Precise GDP Spatialization and Analysis in Built-Up Area by Combining the NPP-VIIRS-like Dataset and Sentinel-2 Images

Precise GDP Spatialization and Analysis in Built-Up Area by Combining the NPP-VIIRS-like Dataset and Sentinel-2 Images

Impacts of the Belt and Roads Initiative on Sustainability: Local Approaches to Spatial Restructuring in the Aras Special Economic Zones

Logistics Efficiency Evaluation and Empirical Research under the New Retailing Model: The Way toward Sustainable Development

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