Spatial and Temporal Measurement of the Interaction between the County Economy and Rural Transformation in Xinjiang, China

Tan, Bo; Wang, Hongwei; Ma, Chi; Wang, Xiaoqin; Jiang, Zhou

doi:10.3390/su13095318

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…Network Diameter = max(All shortest paths between every pair of nodes) (9) where the shortest path here refers to the path in the network that has the least number of edges when traveling from one node to another [55]. 4 The average path length is the average value of the shortest path lengths between all the possible pairs of the nodes in a network.…”

Section: Methodsmentioning

confidence: 99%

“…In rural China, the decreasing agricultural workforce due to urbanization and other factors poses challenges to straw resource supply [8]. Additionally, the weak industrial base in rural areas hinders the growth and development of companies focused on straw resource utilization [9]. Although the Chinese government is gradually promoting county-level pilot policies, these external stimuli do not adequately address the marketization challenges in straw resource utilization.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable Regional Straw Utilization: Collaborative Approaches and Network Optimization

Tao,

Bai,

Peng

et al. 2024

Sustainability

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The SDGS repeatedly emphasizes the importance of reducing greenhouse gas emissions such as carbon dioxide. The strategic utilization of straw resources to curtail open-air burning not only epitomizes optimal resource deployment but also constitutes a significant stride in environmental preservation and sustainable development. Globally, the imperative of this challenge is increasingly recognized, prompting nations to enhance straw resource utilization technologies, devise regional management strategies, and extend requisite policy support. Regional straw utilization encapsulates a comprehensive concept involving an array of stakeholders including governments, farmers, corporations, brokers, and rural cooperatives, with each one of these uniquely contributing to a multifaceted network that is influenced by their respective resource utilization intentions. This heterogeneity, coupled with the diverse roles of these stakeholders, renders the identification of the pivotal participants and their specific functions within the intricate network. To navigate this complexity, this study employed text analysis and social network analysis, uncovering 30 robust associative rules within this domain. Our findings elucidate that the stakeholder network in regional straw resource utilization exhibits characteristics akin to the NW small-world network model. The key network entities identified include farmers, corporations, governments, and rural cooperatives. Furthermore, the study systematically categorizes the principal entities and elucidates the dynamics of this multi-stakeholder network. This research delineates four developmental models that are pertinent to regional straw resource utilization, which is a framework that is instrumental in pinpointing the accountable parties and optimizing the overarching benefits derived from these resources. The significance of this research lies not only in showcasing the potential of straw resources for environmental conservation but also in underscoring the importance of collaborative strategies and network optimization in order to achieve sustainable development goals.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable Regional Straw Utilization: Collaborative Approaches and Network Optimization

Tao,

Bai,

Peng

et al. 2024

Sustainability

View full text Add to dashboard Cite

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“…Li et al emphasized that focusing on the ruralization strategy is crucial for the future development of urbanrural relations in China, as it can effectively promote rural revitalization [28]. Tan et al argued that an in-depth exploration of the synergistic relationship between regional macroeconomics and rural transformation is critically important in promoting regional development [29]. Si pointed out that accelerating the process of urban-rural integration is an indispensable and critical link in realizing the rural revitalization strategy [30].…”

Section: County New Urbanization and Urban And Rural Developmentmentioning

confidence: 99%

An Analysis Method of System Coupling and Spatio-Temporal Evolution of County New Urbanization and Logistics Industry

Liu,

Xin,

Guo

et al. 2024

Systems

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New urbanization in counties and the logistics industry are closely related and are essential in promoting regional economic and social development. There are specific challenges and obstacles to revealing the interaction mechanism and system state measurement between the two. This paper explains the two coupling mechanisms and constructs the evaluation index system. It proposes a new analysis method based on the coupling coordination degree model, the spatio-temporal evolution analysis, and the grey prediction model. The goal is to learn more about and fully realize the coordinated development mechanisms of the two. It then uses the Hebei province of China as an example to empirically analyze its systematic cross-sectional data from 2013 to 2022. Research findings: (1) In Hebei province, the new urbanization in counties and the logistics industry have a systematic coupling relationship. However, the logistics industry’s comprehensive development level is relatively lagging. The two systems have been at a high-level coupling stage for the last decade and maintain a high coupling status. The coupling coordination has shown significant improvement. (2) Although the geographical distribution of the coupling and coordination degree of the new urbanization in counties and logistics industry system has short-term volatility, it is still stable in the long term and presents economic-related spatial characteristics. (3) Over the next five years, the coupling coordination of 11 cities in Hebei province will steadily grow. There will be greater harmonization between the two systems. (4) From the analysis results, the evaluation index system of the coupled system constructed is scientific and reasonable. The analysis method can not only measure the system’s coupling degree, but it can also predict the development trend and analyze the spatial evolution. The technique has novelty and validity, which can be used as a reference for analyzing and making decisions about similar systems.

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“…Qiao G. et al (2023) analyzed the coupling coordination degree between rural revitalization and new urbanization, highlighting significant spatial disparities [19]. Tan B. et al (2021) identified spatial differences in the synergistic effect between county-level economic development and rural transformation in Xinjiang [20].…”

Section: Introductionmentioning

confidence: 99%

The Spatial–Temporal Characteristics and Driving Forces of the Coupled and Coordinated Development between New Urbanization and Rural Revitalization

Li,

Zhang

2023

Sustainability

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In the 21st century’s global push for sustainable development, strategies for new urbanization and rural revitalization in China have transitioned from traditional geographic expansion to a focus on high-quality integration across ecological, social, and economic dimensions. Employing advanced methods such as the entropy weight TOPSIS, coupling coordination model, kernel density estimation, Markov chain, and geographic detector, this study comprehensively explores the spatiotemporal dynamics and driving mechanisms of urban–rural integration in China from 2001 to 2022. Key findings reveal increasing coupling coordination degrees in each province, with significant spatial variations. Notably, during the 15th Five-Year Plan, all regions, including eastern, central, and western areas, exhibited low-level coupling coordination. However, a decreasing ladder-like distribution emerged during the 13th and 14th Five-Year Plans, forming a development pattern centered on eastern coastal regions and spreading inland. The central regions experienced significant changes in development kernel density, while the national eastern and western regions remained relatively stable. Looking ahead, highly coupled regions are expected to maintain leadership, positively influencing neighboring areas and propelling overall urban–rural development towards sustainable goals. Conversely, low-level coupled regions require deeper reforms for leap-frog development. The core driving forces behind spatiotemporal differences in coupling coordination degrees involve innovation within the environment, government capabilities, openness to the outside world, and population agglomeration. Secondary roles are played by factors like non-agricultural industrialization, per capita GDP, government investment, and market conditions, while education, healthcare, transportation, and natural resource levels act as bridges in spatiotemporal differentiation. Overall, this study provides a concise spatiotemporal interpretation and strategic recommendations for urban–rural sustainable integration development, advancing towards a more harmonious, green, and just future in alignment with the core principles of sustainable development.

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Spatial and Temporal Measurement of the Interaction between the County Economy and Rural Transformation in Xinjiang, China

Cited by 7 publications

References 35 publications

Sustainable Regional Straw Utilization: Collaborative Approaches and Network Optimization

Sustainable Regional Straw Utilization: Collaborative Approaches and Network Optimization

An Analysis Method of System Coupling and Spatio-Temporal Evolution of County New Urbanization and Logistics Industry

The Spatial–Temporal Characteristics and Driving Forces of the Coupled and Coordinated Development between New Urbanization and Rural Revitalization

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