Degree Of Coordination Research Articles

Urbanization intensifies the imbalance between human development and biodiversity conservation: Insights from the coupling analysis of human activities and habitat quality

AbstractIntensified human activities have been seriously threatening the structure and ecological processes of ecosystems, resulting in habitat degradation. Therefore, coordinating the coupling between human activities and habitat quality (HQ) is crucial for high‐quality sustainable regional development and human well‐being. This study evaluated the human activities and HQ in the Pearl River Delta (PRD) urban agglomeration in China from 2000 to 2020 using the human footprint index (HFI) and the integrated valuation of ecosystem services and tradeoffs model. Then, we employed bivariate spatial autocorrelation and a coupling coordination degree (CCD) model to explore the synergistic relationship between human activities and HQ. The results show that spatial changes in HQ were predominantly driven by human activities. The gradual outward urban expansion resulted in significant HQ degradation. Slight HQ improvement by ecological restoration in urban outskirts cannot offset HQ losses caused by urbanization. During the study period, high‐HQ low‐HFI clusters decreased by 1.02%, while low‐HQ high‐HFI clusters increased by 4.67%, the two main clustering types in the PRD. Despite the CCD between HFI and HQ increased after 2010, the continuous changes of CCD characteristics from the HFI significantly lagged type to the HQ lagged. HFI showed an inverted U‐shaped relationship with CCD. The CCD peaks during 2000–2020 corresponded to HFI decreasing from 0.711 to 0.566. This indicates that the risk of decoupling between human activities and HQ gradually increased. Furthermore, CCD levels and characteristics in different bivariate clusters exhibited varying changes over time. These results reveal that the spatiotemporal dislocation between urbanization and ecological restoration induced the spatial nonstationarity of the coupling relationship between human activities and HQ. Urbanization exacerbates the imbalance between human development and biodiversity conservation. Therefore, we suggest reasonably delimiting urban boundaries, controlling the scale of urban sprawl, and strengthening biodiversity protection in areas undergoing rapid urbanization. In addition, we advocate for the division of ecological barrier zones, urban development buffer zones, and urban built‐up areas, each with tailored management and protection measures. Our findings can provide an important reference for the ecological restoration of urban agglomerations.

Tuning the separability in noncommutative space

With the help of the generalized Peres–Horodecki separability criterion (Simon’s condition) for a bipartite Gaussian state, we have studied the separability of the noncommutative (NC) space coordinate degrees of freedom. Non-symplectic nature of the transformation between the usual commutative space and NC space restricts the straightforward use of Simon’s condition in NCS. We have transformed the NCS system to an equivalent Hamiltonian in commutative space through the Bopp shift, which enables the utilization of the separability criterion. To make our study fairly general and to analyze the effect of parameters on the separability of bipartite state in NC-space, we have considered a bilinear Hamiltonian with time-dependent (TD) parameters, along with a TD external interaction, which is linear in field modes. The system is transformed (Sp(4,R)) into canonical form keeping the intrinsic symplectic structure intact. The solution of the TD-Schrödinger equation is obtained with the help of the Lewis–Riesenfeld invariant method (LRIM). Expectation values of the observables (thus the covariance matrix) are constructed from the states obtained from LRIM. It turns out that the existence of the NC parameters in the oscillator determines the separability of the states. In particular, for isotropic oscillators, the separability condition for the bipartite Gaussian states depends on specific values of NC parameters. Moreover, particular anisotropic parameter values for the oscillator may cease the separability. In other words, both the deformation parameters (θ, η) and parameter values of the oscillator (mass, frequency) are important characteristics for the separability of bipartite Gaussian states. Thus tuning the parameter values, one can destroy or recreate the separability of states. With the help of a toy model, we have demonstrated how the tuning of a TD-NC space parameter affects the separability.

Research on the Integration and Innovative Development of Logistics Industry and Manufacturing Industry in Anhui Province

The integration and innovative development of logistics industry and manufacturing industry (LMIID) can promote the high-quality development of economy. Based on the actual development of Anhui Province, the article constructs the evaluation index system of the LMIID, takes the development data of Anhui Province from 2013 to 2022 as the support, utilizes the entropy value method and the coupling coordination degree model to measure the coupling degree and the coupling coordination degree of the two industries in Anhui Province, and then utilizes the linear regression model to explore the influencing factors of the LMIID. The results found that the coupling coordination degree of logistics industry and manufacturing industry in Anhui Province is on the rise as a whole, but there are large fluctuations. Its influencing factors are mainly: development environment, science and technology innovation level, economic development level and labor force level. On this basis, suggestions are put forward to promote the LMIID, with a view to promoting the in-depth integration of the two industries in Anhui Province and promoting the development of the economy in the direction of high quality.

Synergy level of urban resilience and urban land use efficiency in the Yellow River Basin: Spatial-temporal evolution characteristics and driving factors

The complex global context, including globalization, rapid urbanization, and climate change, poses significant challenges to urban stability and development. Balancing urban land use efficiency and resilience is crucial for sustainable progress. Focusing on the vulnerable Yellow River Basin (YRB), this study examines the interplay between urban resilience and land use efficiency. Panel data from 2013 to 2020 for 54 cities in the YRB were used, it quantifies the Coupling Coordination Degree of Urban Resilience and Urban Land Use Efficiency (CCDUU), explores its spatiotemporal evolution and influencing factors. Key findings include: The CCDUU exhibits a sustained and discernible growth trend. Notably, CCDUU is higher in downstream areas in comparison to the middle reaches, reaching its lowest point in the upstream areas; however, the increase in CCDUU in the upstream areas surpasses that observed in other regions. Concurrently, regional disparities in CCDUU are diminishing. Despite the presence of a notable positive spatial correlation in CCDUU within the YRB, the strength of this spatial association is not sufficiently robust. Of paramount importance factor is the role of regional innovation, which significantly influences the enhancement of CCDUU. Following closely is the degree of openness, whereas the positive effects of government support and population density are concentrated predominantly in the upper YRB region. In contrast, urban-rural disparity exerts an adverse impact on CCDUU in most regions. Policy recommendations for enhancing CCDUU in YRB cities include strengthening government support and planning control, particularly in upstream regions, to achieve efficient resource utilization and environmental protection. Implementing population density management policies, encouraging rational movement, and promoting population migration to upstream areas can alleviate pressure in downstream cities. Enhancing openness, attracting foreign investment, and promoting innovation and industrial upgrading will drive economic structural upgrades and improve CCDUU.

Analysis of the Coupling Coordination between the Ecosystem Service Value and Urbanization in the Circum-Bohai-Sea Region and Its Obstacle Factors

In light of the tremendous pressure for improving urbanization levels and expanding construction land on ecosystems, regional sustainable development is premised on the coordinated development of the ecological environment and urbanization. This paper focuses on the Circum-Bohai-Sea Region and assesses the ecosystem service value (ESV) and urbanization level using the equivalence factor and entropy-weighted TOPSIS methods. Based on these assessments, it examines the coupling coordination between the ESV and urbanization as well as the obstacles to this coordination, utilizing the coupling coordination degree model, spatial autocorrelation model, and obstacle model. The results revealed several key findings. First, the Circum-Bohai-Sea Region experienced a continuous improvement in the urbanization level from 2005 to 2020, which presented a “center–periphery” spatial pattern. Overall, the ESV exhibited an N-shaped trend, namely, initially increasing, then decreasing, and then rapidly increasing. The ESV per unit of area exhibited a spatial difference, with the boundary of Baoding and Cangzhou as the dividing line. The ESV per unit of area in the northern parts was higher than that in the southern parts. Second, the degree of the coupling coordination between the ESV and urbanization exhibited an inverted U-shaped trend, initially increasing and then slightly decreasing. It also exhibited significant spatial heterogeneity, with the degree of the coupling coordination in the northern parts being higher than that in the southern parts and that in the central parts being higher than those in the eastern and western parts. Additionally, the ESV showed a significant spatially positive correlation with urbanization. H-H clusters were predominantly found in central and southern Liaoning Province, while L-L clusters were primarily located in southern Hebei Province and western Shandong Province. Third, the obstacle factors remained stable during the study period. The top five obstacles in the ESV system were the water resource supply, nutrient cycling maintenance, raw material production, aesthetic landscape, and food production. Moreover, the top five obstacles in the urbanization system were the number of college students per 10,000 people, population density, number of health technical personnel per 10,000 people, per capita road area, and proportion of secondary and tertiary industry output values.

Correlation between Scientific and Technological Achievements of Universities and Regional Innovation System in Ensuring Sustainable Economic Development at the Meso Level

The transformation of scientific and technological achievements of universities is of great importance for regional economic development and the development of scientific and technological innovation. Based on three aspects — the input of innovative resources, the output of scientific and technological achievements and the transformation of scientific and technological achievements — this study selected 13 indicators, such as scientific and technical expenditures, the number of scientific and technical personnel, the results of publication activities, intellectual activity, patents, contracts and income from the transformation of scientific and technological achievements, to build an indicator system for the transformation of scientific and technological achievements of colleges and universities; at the same time 7 indicators were selected, such as the number of scientific and technological personnel, funding, the number of patents and scientific and technological business-incubators, to build a regional system for assessing scientific and technical potential, a system for assessing regional scientific and technical innovation potential. Based on the factor analysis method, the transformation scores of scientific and technological achievements of universities and regional scientific and technological innovations in each region of China in 2019–2021 were calculated; secondly, using the Coupling coordination degree model, the degree of relationship and coordination between the university system of transformation of scientific and technological achievements and the regional scientific and technological innovation system in different regions of China was calculated. The study showed that the level of scientific and technological achievements is uneven and not high; points of innovative development of Chinese regions have been identified. Thus, the transformation of scientific and technological achievements of universities is a necessary path for the scientific, technological and economic development of regions, when it is necessary to combine the needs of regional development, take measures to strengthen support for scientific and technological personnel, create platforms for sharing resources, and improve policies in the field of intellectual property in order to promote the industrialization of scientific and technological achievements, promote regional scientific and technological innovations and develop regional industry.

Spatiotemporal Coupling between Urbanization and Eco-environment based on Google Earth Engine and Nighttime Light Data: A Case Study of the Yellow River Delta

Based on the cloud platform of Google Earth Engine and ArcGIS, this paper uses daytime optical remote sensing and nighttime light (NTL) remote sensing data to extract the comprehensive nighttime light index (CNLI) and remote sensing ecological index (RSEI) respectively, then constructed and quantitatively analyzed the coupling coordination distance model of urbanization and eco-environmental quality in the study area from 2001 to 2020. The results show that the average value of RSEI fluctuated from 0.446 in 2001 to 0.518 in 2020 from 2001 to 2020. The average value of CNLI from 2001 to 2020 continued to rise from 0.101 in 2001 to 0.238 in 2020. From 2001 to 2020, the average value of the coupling coordination degree showed a downward trend, from 1.356 in 2001 to 1.256 in 2020, and the coupling coordination degree gradually developed in a good direction. The research results can provide data support and theoretical suggestions for promoting the sustainable development of the Yellow River Delta.

Spatial spillover effects of conversion of new and old driving forces on high-quality development: Evidence from 283 cities in China

Converting the forces driving is essential for breaking away from the traditional unsustainable development model and achieving High-Quality Development (HQD). Understanding how the conversion from old to new forces influences HQD is crucial for achieving sustainable development. Therefore, the assessment framework for Conversion of New and Old Driving Forces (CNODF) and HQD are established. From an efficiency perspective, the Super-Efficiency slacks-based model (SBM) model, considering undesirable outputs, is used to measure HQD levels in Chinese cities. The entropy weight method is applied to measure CNODF levels. By integrating coupling coordination degree and relative development degree, the matching and synchronization between HQD and CNODF are categorized. Further, the study introduces the Spatial Durbin Model to quantitatively identify the spatial relationships between HQD and CNODF at both national and urban agglomerations scales. The research findings indicate that from 2006 to 2019, the national average HQD level increased by 50.5 %, and the average CNODF level increased by 11.5 %. The association between the two has strong spatial heterogeneity. At the national scale, CNODF has significant nonlinear spatial spillover effects on HQD. These findings provide theoretical insights for advancing the conversion of driving forces, and can help inform regional high-quality development strategies.

Study on the Initial Allocation of Carbon Emission Rights Applicable to China's National Conditions: from the Perspective of Comprehensive Principles

<p>The scientific and reasonable allocation of initial carbon emission rights is the foundation of establishing and perfecting the carbon trading system, which is directly associated with the completion of carbon emission reduction targets. Guided by the rational distribution of China's carbon emission rights, this paper adopts a multi-index method to investigate the initial distribution of China's carbon emission rights from a regional perspective according to the comprehensive principles of fairness, efficiency, sustainability, and environmental capacity limit. The results show that the use of regional historical carbon emissions or economic factors as a single indicator of carbon emission rights distribution is unreasonable according to historical emissions or GDP, and the results are quite different from the actual demand. Under the overall coordination degree allocation model, it is reasonable for Region 2, Region 3, and Region 4 to undertake higher emission reduction responsibilities, and the emission reduction tasks in these regions are likely to be completed, which shows that the carbon emission rights allocation under the comprehensive principle is more in line with the actual demand and has good operability, robustness, and compatibility. The allocation of carbon emission quota requires the scientific and reasonable formulation of the total national allocation, that all provinces and cities can form a stable quota expectation, effectively design the allocation principle scheme, give consideration to fairness and operability, and do not share the responsibility of regional emission reduction with a one-size-fits-all approach.</p>

Sustainability of development of economic entities in partially autarkic economy

Subject. The article considers the methodology for assessing the sustainability of business entities’ development in modern Russia, characterized by elements of autarky. Objectives. Our aims are to reveal the specifics of sustainable development in a closed economy, determine the degree stakeholders’ interests coordination as a basis for identifying sustainability of their development, elaborate a methodology for determining the sustainability of development of economic entities in a partially autarkic economy. Methods. We employ general scientific methods, i.e. scientific abstraction, analysis and synthesis, as well as approaches to determining the influence of behavioral motives of decision-makers when identifying the effectiveness of economic entities’ development. Results. The paper underpinned the need to determine the impact of the degree of coordination of stakeholders' interests in determining the sustainability of development of market actors; offered a classification of stakeholders' interests; developed the traditional concept of triple bottom line that rests on identification of economic, social, and environmental indicators of development on the basis of supplementing the assessment of sustainability by the results of stakeholder interests coordination. Conclusions. In addition to the impact of social, environmental and economic factors, it is necessary to determine the level of coordination of stakeholders' interests, as well as stakeholder risk.

Impacts of Extreme Climate on the Water Resource System in Sichuan Province

Based on the data of Sichuan Province from 2007 to 2021, the extreme climate events in Sichuan Province was identified by statistical method, and the coupling coordination degree of water resources-climate system and separate water resource system was analyzed. Based on the difference of coupling coordination degree under these two systems, the influence mechanism of extreme climate factors on the water resource system is analyzed. The results show that the extreme climate types in Sichuan Province gradually transition from extreme drought to extreme precipitation and from extreme low temperature to extreme high temperature. When climate factors are not considered, the coupling coordination degree of the water resource system is generally improved and the distribution is more concentrated. Moreover, the influence of climate factors on the water resource system is not a simple linear relationship.

Dynamic evolution of urban resilience and its coupling mechanism with EF3D-driven natural capital utilization: Case study in three typical urban agglomerations of China

Improving urban resilience (UR) and natural capital utilization are critical for supporting regional sustainable development. However, most of the previous studies have separately assessed them, and their coupling mechanism is still unclear. This study develops a cloud model-based urban resilience (UR) assessment framework to explore the dynamic evolution of UR in the three typical urban agglomerations of the Yangtze River Economic Belt (YREB). Natural capital utilization is analyzed by an improved ecological footprint (EF3D) model. Coupling Coordination Degree (CCD) and Environmental Kuznets Theory (EKC) are integrated for revealing the relationship between UR and natural capital utilization. Results show that UR in the YREB shows an increasing trend with an average annual rate of 1.33%, and there is a significant difference in the sub-dimensions of UR. Water system resilience generally has a positive impact on UR in the early periods, but its impact later becomes negative, with over 45% of all cities' UR being negatively affected by water system resilience. The spatial distribution of EF3D shows a decentralized trend in the YREB. The consumption of resource stocks represented by ecological footprint depth increases during the period from 2000 to 2015, with increase rates of 1.09%, 4.73%, and 3.42% for the upstream, midstream, and downstream urban agglomerations, respectively. The CCD between UR and natural capital utilization increases from an intermediate coordination stage to a well-coordinated stage. The EKC analysis discloses that UR and natural capital utilization present inverted U-shaped curves in three urban agglomerations with spatial differences. The inflection point of UR in the upstream is earlier (in 2008) than that in the midstream (in 2014) and downstream (in 2015) urban agglomerations. Findings can help quantify the development space for each city to enter into coordinated development in the future.

Research on the Spatiotemporal Characteristics of the Coupling Coordination Relationship of the Energy–Food–Water System in the Xinjiang Subregion

In the Xinjiang region, the sustainable management of water resources, energy, and food is crucial for regional development. This study establishes a coupling evaluation index for energy–food–water (EFW) systems from the perspectives of supply, consumption, and efficiency. Using an integrated EFM-CDD-RDD-CCDM approach, an assessment of the coupling and coordination levels of the EFW systems in 14 cities within Xinjiang was conducted for the period of 2004 to 2020. Additionally, the method of obstacle degree identification was utilized to determine the main barriers affecting the EFW systems. Key findings included the following. (1) In terms of individual system coordination indices, the water resource systems exhibited overall higher coordination (ranging from 0.30 to 0.72) with comparatively minor spatial variability, while the energy (from 0.18 to 0.81) and food (from 0.12 to 0.83) systems showed greater temporal and spatial fluctuations. From 2004 to 2020, improvements were observed in the coordination of food and water resource systems, whereas a decline was noted in the coordination of the energy subsystem. (2) Prior to 2011, the coupling of food–water and energy–food systems showed an upward trend, whereas the energy–water coupling decreased annually by 2.62%, further highlighting the tensions between energy development and water resource constraints in Xinjiang. (3) The comprehensive coupling coordination index of the Xinjiang EFW systems ranged between 0.59 and 0.80; between 2004 and 2020, there was an oscillatory increase. From 2004 to 2016, the coupling and coordination degree across the municipalities generally improved, with the regions on the western side and southern slope of the Tianshan Mountains, the Altai Mountains, and the northwestern edge of the Junggar Basin exhibiting the highest levels, followed by the three prefectures in southern Xinjiang. (4) The EFW obstacle degree posed by the food systems in Xinjiang and its divisions showed a decreasing trend from 2004 to 2020, with the energy system identified as the main factor affecting the coupling and coordination degrees of the EFW systems (increasing by 44% to 52%). Therefore, it is imperative to accelerate the energy transition and optimization in the lead energy development and production areas of Xinjiang. This research provides a scientific basis for Xinjiang’s sustainable development strategies and highlights potential directions for the future optimization of resource management.

Coordinated development of island ecotourism: A comprehensive evaluation of Amami-Oshima Island

Island tourism has garnered growing attention especially with the rapid expansion of ecotourism in island destinations. While past research has explored the integrated development of island tourism, environment, and economy, there exists a demand for a more comprehensive exploration that incorporates social aspects. This study aimed to establish a comprehensive evaluation index system for island ecotourism using Amami-Oshima Island as an example. It uses four tourism subtypes, including environment, economic, social, and other-sector tourism, within the framework for island ecotourism. We employed a Coupling Coordination Degree Model and a Grey Verhulst model, utilizing data from Amami-Oshima Island from 2010 to 2021 as a basis for quantitative analysis of the current status of island ecotourism coupling coordination development and for making predictions. The research outcomes reveal the following: (1) Between 2010 and 2021, Amami-Oshima Island exhibited an overall upward trajectory in the comprehensive development of ecotourism. The environment-tourism subsystem demonstrated robust performance, the social-tourism subsystem displayed fluctuating growth, and the economic and the other-sector tourism dimensions generally progressed in tandem. (2) The coupling degree and coordination level of Amami-Oshima Island ecotourism showed an overall upward trend, with coordination evolving from a state of minimal coordination to an intermediate level. However, opportunities remain to enhance high-quality coordination through mutual influences and interdependencies. (3) Predictions indicate a slight increase in ecotourism coupling coordination on Amami-Oshima Island over the next nine years (2022–2030). Based on these findings, this paper presents several policy recommendations, serving as a guideline for ecotourism development on Amami-Oshima Island. The research results carry significant implications for understanding the present status and future trends of ecotourism on Amami-Oshima Island and offer valuable policy suggestions for the development of ecotourism on other islands.

Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China

Green and low-carbon use of urban land (GLUUL) and high-quality economic development (HED) are two closely linked and mutually reinforcing systems, and their coordinated development is of great theoretical and practical significance to the realization of green and sustainable urban development. Based on theoretical analysis, this paper used data from 2005 to 2020 to measure GLUUL efficiency and HED level and their coupling coordination degree (CCD) successively of 282 cities in China, and then analyzed in-depth the main factors affecting CCD and its spatial–temporal heterogeneity using the GTWR model. This study found that (1) GLUUL efficiency and HED levels are increasing with different trends, and the development is unbalanced. High-value cities in the two systems show a staggered distribution pattern. (2) The CCD of the two was dominated by primary and intermediate coordination types, and the overall became increasingly coordinated, with the “intermediate coordination—advanced development” type having the highest representation. (3) There is a gradual convergence of CCD spatial differences, showing an overall spatial distribution pattern that is “high in the northwest and southeast, low in the central area”. (4) The influence degree and direction of different factors on CCD are distinguishing. The positive impact of industrial structure upgrading (Isu) is obviously greater than other factors, which has the strongest effect on the industrial corridor along the Yangtze River and the Beijing–Tianjin–Hebei region. The findings can offer insightful recommendations for promoting sustainable development in China and similar developing countries and regions.

Evaluation of the coordinated development level in the coastal eco-environmental complex system: A case study of Jiaozhou Bay, China

Given the exponential population growth and remarkable socio-economic advancements, coastal areas face increasingly complex challenges in eco-environmental management due to anthropogenic pressures. With the current emphasis on high-quality economic development, there is an urgent need to establish and evaluate a comprehensive indicator system to ensure the sustainable development of the coastal eco-environment and to meet evolving management demands. Research on the coordinated development level of coastal eco-environmental complex system, based on the concept of land-sea coordination, plays a pivotal role in promoting the resolution of eco-environmental issues in coastal areas, achieving sustainable socio-economic development in these regions. In this study, we construct an indicator system for the eco-environmental complex system in Jiaozhou Bay (JZB) coastal zone, China, comprising six sub-systems and thirty indicators. The comprehensive development level and coupling coordination degree model (CCDM) are employed in this study to analyze the indicator system in 1980–2020, aiming to elucidate the processes involved in the improvements in this complex system. The findings indicate: (i) the system's comprehensive development level evaluation and coupling coordination degree (CCD) exhibit a two-stage pattern: a declining trend in 1980–2005, followed by a rising trend in 2005–2020. (ii) despite improvements, the comprehensive development level and the CCD of the system in 2020 still hold potential for further enhancement compared to 1980; and (iii) policymaking and changes in anthropogenic pressures in coastal areas are the primary factors influencing the performance of the system. In the future, policymaking can reduce anthropogenic pressures on the coastal eco-environment, improve the comprehensive development level and CCD of the complex system, and encourage a commitment to sustainable development.

Study on the Synergistic Development of "Smart + Green" Logistics Industry in Chongqing

Under the background of "digital economy" and "double carbon", logistics industry, as a typical industry with high input, high energy consumption and high emission, is imperative for its intelligent and green transformation. Chongqing, located in the southwest, is an important logistics hub, and the synergistic development of its logistics industry "smart + green" is of great significance to the economic growth and high-quality development of the industry. This paper constructs the index system for the synergistic development of smart logistics and green logistics, and analyzes the development level of smart logistics and green logistics as well as the level of coupling coordination in Chongqing from 2010 to 2022 by using entropy value method and coupling coordination degree model, with the aim of providing a reference for the government to improve the logistics policy as well as the active development of the logistics industry. The study shows that the overall development level of smart logistics and green logistics in Chongqing is on the rise, and the gap between the two is gradually narrowing, and the development level is gradually changing from green logistics development to synergistic development. The development trend of the coupling coordination degree of smart logistics and green logistics is good, and the coupling coordination degree gradually develops into high-quality coordination, and the trend of the coupling coordination degree is consistent with the trend of the development level of smart logistics, and smart logistics has a stronger role in promoting the synergistic development of the two. Among the subsystems, the scale of development, transportation capacity and digitization level in smart logistics and the level of resource utilization and energy use efficiency in green logistics are the short boards restricting the coordinated development of smart and green logistics, and the coordinating role between the subsystems needs to be strengthened.

Research on the Coupling Coordination Development of Industry-University-Research, Regional Economy and Ecological Environment and Their Spatial Spillover Effects

This paper applies the coupling model to study the coupling coordination development of industry-university-research, ecological environment and regional economy in 30 provinces and cities in China from 2009 to 2019, on the basis of which, this paper further applies the spatial Durbin model to measure the spatial spillover effects of the three subsystems. The results show that: (1) During the study period, China's IUR-Economy-Ecology system is characterized by high coupling degree and low coupling coordination degree, in which 83% of China's regions are lagging in industry-university-research, and the regional distribution shows a diamond-shaped distribution of "high in the east, flat in the northeast and the middle, and low in the West ". (2) The IUR-Economy-Ecology, economic and ecological system has obvious spatial polarization effect. (3) The industry-university-research system has spatial diffusion effect, which indicates that promoting industry-university-research cooperation is conducive to the promotion of the balanced regional development. (4) The industry-university-research innovation system, relative to the economic and ecological systems, has a "wooden barrel effect" in the process of promoting the coupled and coordinated development of IUR-Economy- Ecology system, and promoting the development of industry-university-research innovation system can most efficiently improve the "capacity ceiling" of the total system.

Bi-level programming optimization method of rural integrated energy system based on coupling coordination degree of energy equipment

Promoting energy transformation in rural areas, building a Rural Integrated Energy System, and developing multi-energy complementary and comprehensive utilization of rural energy in accordance with local conditions are important paths to support global low-carbon transformation and rural revitalization. However, how to consider the coupling synergy of multiple devices and plan the capacity of multiple devices in rural energy systems in an economical, low-carbon, and reliable manner is an urgent issue facing the development of Rural Integrated Energy System. This paper proposes a bi-level programming optimization method of Rural Integrated Energy System based on coupling coordination degree of energy equipment. Firstly, a multi-dimensional rural user energy utilization framework is designed that comprehensively considers agriculture, animal husbandry, industry, and lifestyle. Secondly, the bi-level optimization model of the Rural Integrated Energy System based on the coupling coordination degree of energy equipment is constructed. The upper-level planning model puts forward the equipment coupling coordination degree, and determines the equipment selection scheme for different types of Rural Integrated Energy System planning. The lower-level planning model considers economy, low carbon, and reliability, and uses the improved multi-objective Harris Hawk optimization algorithm to solve the capacity of different energy equipment in the Rural Integrated Energy System. Finally, the effectiveness and scientific nature of the model and method proposed in this paper are verified by the Integrated Energy Systems of a rural area in the north of China. In addition, by comparing the equipment selection scheme with the traditional method, it can be found that the optimization scheme in this paper that considers the coupling coordination of energy equipment reduces the annualized total cost by 29.34 %, reduces the annual carbon emissions by 60.43 %, and increases the reliability by 15.85 %. The collaborative planning of energy economy, low carbon energy and reliable energy has been realized.

Study on the Railway Effect of the Coordinated Development of the Economy and Environment in the Chengdu–Chongqing Economic Circle

Transportation infrastructure plays a crucial role in economic development and significantly influences climate change, providing direct and indirect benefits towards the attainment of Goals 8 and 13 of the United Nations Sustainable Development Goals (SDGs). This study investigates the impact of railway infrastructure on the level of economic and environmental coordination development in the Chengdu–Chongqing economic circle, using panel data from 16 cities spanning from 2010 to 2020. The analysis employs a coupled coordination degree model and a panel fixed effects model. The findings reveal a gradual increase in the level of economic and environmental coordination development in each city during the study period. Notably, Chongqing and Chengdu exhibit significantly higher levels compared to other cities. Railway infrastructure construction can significantly promote the coordinated development of the urban economy and environment. In areas with a high level of coordinated development of the economy and environment, the promoting effect is relatively small, while in areas with a low level of coordinated development of the economy and environment, the promoting effect is relatively large. Over the long term, railways continue to significantly promote the coordinated development of the urban economy and environment. The construction of railways can stimulate the development of the urban private economy and marketization, thereby facilitating the coordinated development of the urban economy and environment.