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Copyright of Informe Gepec is the property of Informe Gepec and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Informe Gepec is the property of Informe Gepec and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

From the perspective of transportation infrastructure upgrading, this paper discussed the motivation behind industrial firms' pollution transfer to provincial borders. Using a panel data set of 41 cities in China's Yangtze River Delta from 2005 to 2020, this paper empirically tested the impact of intracity and intercity transportation infrastructure upgrading on pollution transfer through a two-way fixed-effects model. The results revealed the following: First, intracity transportation infrastructure upgrading forces local industrial firms to transfer pollution outward. Second, intercity transportation infrastructure upgrading accelerates pollution transfer to provincial borders. Third, in the central region, intracity transportation infrastructure upgrading does not significantly impact local pollution transfer. Intercity transportation infrastructure upgrading can aggravate border pollution, whether in the eastern or central regions. Furthermore, border pollution is more serious in the central region. The results have important practical significance for improving China's regional development planning and environmental governance system. [ABSTRACT FROM AUTHOR]

Regional innovation ecosystems (RIEs) are a new paradigm in innovation research, and the development of RIEs under digitization is constrained by the development of innovation environments. The study of ecological niche suitability of regional innovation environment provides the basis for the government to create an innovation environment suitable for the development of a regional innovation ecosystem. This paper conducts an empirical analysis based on panel data from 29 provinces (autonomous regions) in China from 2012 to 2021. The paper analyzes the suitability of the ecological niche of the innovation environment as well as the spatio-temporal evolution pattern of the regional innovation ecosystem under digitalization in China. The results of the study show that: (1) The innovation environment of regional innovation ecosystems under digitization in China has become increasingly suitable during the sample period. (2) From the perspective of evolution in time, the suitability of the ecological niche of the regional innovation environment has always maintained an evolutionary trend of rolling forward in the echelon. (3) From the perspective of spatial evolution, the center line of the curve of the development level of the suitability of the regional innovation environment shows a rightward shifting evolution. [ABSTRACT FROM AUTHOR]

Foreign direct investment (FDI) by transnational companies (TNCs) is the primary indicator of urban globalization. The initial publication on the topic of remote sensing and geographic information system-based urban globalization research was published in 1981. However, the number of publications on this topic remains relatively limited. Despite some advances in the field in recent decades, there is currently no comprehensive review of related research, and it is not clear how the different perspectives and views have been developed. Furthermore, previous literature reviews on the utilization of remote sensing and GIS technology in urban development have predominantly employed quantitative methodologies, which has resulted in a paucity of qualitative analysis. In order to address these shortcomings, this paper employs a mixed-methods approach, integrating quantitative and qualitative analyses. This entails the utilization of a combination of the scientometric method and a qualitative literature review method. The findings are as follows: (1) The number of publications is still relatively limited, and research in this area is still in its infancy. (2) Some of the articles are evidently interdisciplinary in nature. (3) Progress has been made in terms of geographic visualization of FDI, macro-environmental research at different scales, global value chains, the micro-geography of TNCs, and globalization of the geo-information industry. (4) The spatial and temporal development pattern, location, and accessibility of FDI have constituted a significant area of research interest in the past. Similarly, the relationships between FDI and regional development, urban growth, land use, and environmental change have emerged as prominent research directions. China's Belt and Road Initiative is an emerging popular topic. (5) In recent years, there has been a notable increase in the number of papers employing multi-source data and multi-method approaches. (6) The extent of research collaborations between countries is relatively limited, with the majority of such collaborations occurring within the past five years. Finally, based on these research findings, this paper suggests future research directions. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Central European Agriculture is the property of Journal of Central European Agriculture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

For coordinated regional growth and the development of high-quality manufacturing, China must narrow its regional energy efficiency gap and catch up inter-regionally. This paper focuses on whether China's inter-provincial manufacturing energy efficiency has technological diffusion and a catch-up effect and explores its possible influencing factors, which are important for narrowing the differences in China's manufacturing energy efficiency and promoting the improvement of the overall level of efficiency. Between 2011 and 2020, 30 Chinese manufacturing industries will be evaluated using a non-radial distance function model under environmental conditions. By employing the Dagum Gini coefficient method, regional disparities were analyzed, with hyper-variable density and efficiency discrepancies between regions making a noteworthy contribution. This paper evaluated a catch-up effect by constructing a frontier productivity model that considered the influence of China's manufacturing energy efficiency. Results show a general rise in energy efficiency, particularly in coastal regions, higher than inland ones. The Gini coefficient of energy efficiency in manufacturing experienced a slight increase; however, when comparing it to the regional efficiency frontier, the catch-up effect and technology diffusion effect of China's provincial manufacturing energy efficiency become more pronounced when taking into account the national efficiency frontier; the sub-regional manufacturing energy efficiency catch-up effect has different performances; the catch-up and technology diffusion effect is more evident after controlling for Economic development, innovation levels, the environmental regulation, and the proportion of high-energy-consumption output value and other influencing factors. [ABSTRACT FROM AUTHOR]

The agglomeration and dispersion of tourist attractions in space greatly affect the development of regional tourism resources and the consumption choice of tourism market. At present, the research on the spatial distribution characteristics of tourist attractions and their influencing factors mainly adopts induction and investigation, and there is a lack of effective statistical models for the research on the spatial distribution of tourist attractions and their influencing factors in some historical and cultural ancient cities. This paper uses Internet technology to obtain the spatial distribution data of tourist attractions in Shaoxing city, and uses mean nearest neighbor analysis, nuclear density analysis, imbalance index analysis, standard deviation ellipse and other spatial statistical analysis techniques and geographical detector methods to study the spatial distribution characteristics and influencing factors of tourist attractions in Shaoxing City. This paper studied the distribution characteristics of tourist attractions in Shaoxing city, such as spatial aggregation, distribution equilibrium and spatial orientation, and applied geographical detector to study the influencing factors of the spatial distribution of scenic spots. It was concluded that the spatial distribution pattern of scenic spots was affected by various factors such as natural environment, social environment and economic environment. The explanatory power of two-factor interaction is obviously stronger than that of single factor. The research results provide scientific basis for the planning, layout and development of tourist attractions in Shaoxing and its similar cities, and then promote the high-quality development of tourism in Shaoxing and its similar historical and cultural ancient cities. [ABSTRACT FROM AUTHOR]

The electrification of aviation represents a significant technological frontier, promising substantial advancements in sustainable transportation. This paper presents a comprehensive set of taxonomies that systematically categorize and analyze the multifaceted aspects of electric aviation, with a particular focus on machine-related components and systems. It provides detailed classifications of electric aircraft propulsion systems, power management architectures, and energy storage technologies, offering insight into their design, functionality, and integration challenges. The paper explores the ecosystem of electric aviation, including key stakeholders, use cases, and enabling technologies, which are vital for coordinating machine development strategies and fostering sustainable growth. The creation of business models that cater to the dynamic nature of the industry, emphasizing the role of innovative machine designs in shaping market adoption are discussed in the paper. The study highlights the importance of electric aviation for regional development, outlining predictive models for regional market development that consider machine capabilities and infrastructure requirements. [ABSTRACT FROM AUTHOR]

Digital economy is an important direction of the new round of technological revolution and a key driving force for realizing the "double control of carbon emissions". This paper utilizes the panel data of 30 provincial-level administrative regions in China from 2011 to 2021 to measure the development level of the digital economy, total carbon emissions, and carbon emission intensity and explores the impact of the digital economy on the dual control of carbon emissions and the mechanism of its effect by applying the mediating and moderating effect models. The results show that the digital economy can play a significant inhibitory effect on total carbon emissions and carbon emissions intensity, and this conclusion is still robust after a series of tests. From the government level, there exists a transmission path of "digital economy → environmental regulation stringency → dual control of carbon emissions"; from the enterprise and research organization level, there also exists a transmission path of "digital economy → R&D intensity → dual control of carbon emissions". From the perspective of regional imbalance, there are large regional differences in the impact of the digital economy on the dual control of carbon emissions, and there are also large differences in the impact of the various subdivided indicators of the digital economy on the dual control of carbon emissions. In addition, this paper also finds that the positive effect of the digital economy on the dual control of carbon emissions is more obvious in regions with a smaller proportion of SOEs. These findings add new evidence to the study of "the impact of the digital economy on the dual control of carbon emissions" and provide new ideas for accelerating the realization of green and sustainable development. [ABSTRACT FROM AUTHOR]

Water, ecology, energy and food are indispensable resources for human survival and social progress, as well as the core of the regional sustainable development. They are interdependent and closely related. The importance of ecology support and feedback capability has been overlooked in traditional studies of the water–energy–food nexus. In this paper, the concept of water–ecology–energy–food (WEEF) nexus was proposed. Then, a comprehensive evaluation indicator system of WEEF nexus was established from three criteria of stability, coordination and sustainability based on synergy theory. A comprehensive variable fuzzy evaluation model was constructed to evaluate the coordinated development level of WEEF nexus in Tianjin, China. And the main obstacle factors that constrained the coordinated development of WEEF nexus were analyzed through the obstacle degree model. The results showed that: from 2010 to 2021, the comprehensive coordinated development level of the WEEF nexus showed an upward trend, with an average growth rate of 4.0%. The stability, coordination and sustainability all significantly affected the comprehensive coordinated development of regional WEEF nexus. The coordination of water–ecology, energy–ecology and food–ecology subsystems was relatively low. Food self-sufficiency rate, average water consumption for energy production, annual rainfall and ecological environment index were the main obstacle factors of WEEF nexus. In summary, the nexus framework and evaluation method proposed in this paper can provide a new perspective on the basic theory and application of regional WEEF nexus. [ABSTRACT FROM AUTHOR]

The regional networking strategy is widely implemented in China as a normative policy aimed at fostering cohesion and enhancing competitiveness. However, the empirical basis for this strategy remains relatively weak due to limitations in measurement methods and data availability. This paper establishes the urban networks by the enterprise investment data, and then accurately measures the network's external effects of each city by the method of MGWR model. The results show that: (1) Regional networking plays a significant role in urban development, although it is not the dominant factor. (2) The benefits of network connections may vary depending on the location and level of cities. (3) The major cities assume a pivotal role in the urban network. Based upon the aforementioned research conclusions, this paper presents strategic measures to enhance the network's external impacts, aiming to offer insights for other regions in formulating regional development strategies and establishing regional urban networks. [ABSTRACT FROM AUTHOR]

The article is a review of a book titled "Studies on Tantra in Bengal and Eastern India" edited by Madhu Khanna. The book explores the Tantric traditions of Eastern India, with a focus on the concept of Śakti in its various aspects. The volume is divided into three parts, covering topics such as syncretism between Śākta and Vaiṣṇava traditions, the Śākta Pīṭhas (pilgrimage sites), and Śākta theology. The articles in the book provide case studies and specific instances of Tantric traditions in the region. The reviewer notes that the book is a valuable contribution to Tantric studies and may be of interest to scholars in various fields. However, they also mention some typos in the volume. [Extracted from the article]

This paper explores what needs to be done to better address the growing and substantial inequalities in the UK and how the 'Levelling Up' policy that seeks to address them could be improved. It argues that a much longer-term vision and a sharper, cross-government focus on fewer challenges is required to make a more tangible impact. Four key findings are identified: a focus on health and education is fundamental for our social and economic prosperity; there is a need for greater devolution of power, with transparent and robust accountability; an open, nationwide knowledge base to share what works and what does not, and the lessons learned from innovative pilots, is required; and a more holistic approach is needed to support businesses and provide them with better-quality support. This paper argues that without these issues being taken into consideration, the lives and well-being of our disadvantaged citizens, our children and our economy will continue to worsen. It concludes that making economic development a statutory function, putting it at the very heart of our public services, is needed to ensure that the levelling up outcome is achieved. [ABSTRACT FROM AUTHOR]

In the twenty-first century, with the development of urbanization, large-scale mine wastelands in peri-urban areas have become increasingly closely related to the daily lives of urban and rural residents. Adopting a reuse method that meets the health needs of these residents, restoration, construction of mine wastelands in the suburbs of cities, and the formation of high-quality healthy environments and service supply are in line with the demands of healthy city construction and sustainable development. In addition, they have received increasing attention from all sectors of society. Based on the main criteria for constructing a healthy urban environment, this paper takes the comprehensive remediation and construction project of mine wastelands in the Taiyuan Xishan Ecological and Cultural Tourism Demonstration Area as a case study. It uses on-site surveys and an open-ended web-based questionnaire. It focuses on researching the perceived health needs of urban and rural residents in Taiyuan City, Shanxi Province, China concerning the main elements that determine health, such as the natural ecological environment, the construction of facilities and activities, and the local economic and industrial development. The results of 748 questionnaires that were completed by participants who effectively participated in the survey show that most participants preferred a comprehensive development model (86.6%) to reuse these areas. In addition, the specific needs of urban and rural residents for health safety, equity and quality, and healthy low-carbon industries should be considered. The differences in demand among groups of citizens due to different ages, living distances, levels of education, and occupations should be comprehensively considered. This paper demonstrates that a full understanding of the health needs of residents has great practical significance when improving the healthy environment and service supply level in mine wasteland restoration and construction and promoting the development of regional healthy city construction. Recently, the healthy environment and sustainable development of areas that host large-scale mine wastelands on the outskirts of cities have received increasing attention from all sectors of society. This paper suggests that during the reuse and construction of these areas, government management, development, and construction companies, planning and design organizations, and other departments that are involved in policy formulation and construction implementation should give full consideration to the perceived health needs of urban and rural residents in the host city, and to groups of residents of different ages, living distances, occupations, and educational levels, to form a high-quality and equitable health environment and services in the area. In addition, active public participation, on-site research, and interviews are essential for relevant departments to improve their understanding of resident health needs. [ABSTRACT FROM AUTHOR]

Population migration continues to reshape the spatial pattern of China's population and regional economic development. During this internal migration process, production and consumption patterns often change, ultimately leading to changes in green total factor productivity. This paper, based on the Chinese population census data and 1% sampling survey data from 2005 to 2015, utilizes social network analysis methods to measure the labor mobility network indicators of 284 prefecture-level cities. Further, this paper analyzes the impact and mechanisms of regional network status on green total factor productivity using a panel fixed effects model. We find that as network density increases, the interpersonal connections between regions become closer, and the network exhibits a clear pattern of "concentrated inflows" and "dispersed outflows", with the trend of forming strong alliances becoming increasingly apparent. Regions positioned centrally either in terms of network in-degree or out-degree exhibit higher green total factor productivity. Among these, the labor mobility network plays a crucial role in enhancing green total factor productivity through the channel of technology diffusion effects, which improve investment efficiency via knowledge exchange and material capital accumulation. The promotive effect of labor network status on green total factor productivity is more pronounced in the eastern regions, where talent quality is higher, and in areas with fewer restrictions from the household registration system. [ABSTRACT FROM AUTHOR]

This paper analyses regional competitiveness at the subregional level through a novel methodological approach that adopts a matching design. By comparing the performance of similar firms in different parts of the region, it is possible to detect whether different places provide different competitive territorial assets. Using data for Lombardy, a large and competitive European region, the analysis shows that the different territories of the region are differently competitive in different industries, even when they are similar in terms of total GDP per capita or specialization. The paper also confirms that measuring competitiveness on different indicators (Labour Productivity, TFP, Profitability) can provide different results, and this especially happens when comparing static and dynamic indicators. The methodology presented here is especially relevant to the design of regional policies, that are mostly deployed at the NUTS-2 level but would benefit from accounting for the presence of strongly dis-homogeneous territories inside the same region. [ABSTRACT FROM AUTHOR]

This paper aims to analyze the demographic changes occurring in the Republic of North Macedonia and their impact on the economy, with a specific focus on labour market dynamics, aggregate demand and supply shifts, regional development disparities, and implications for economic growth. Through this analysis, the paper seeks to identify key challenges and propose strategic measures to address them. The research utilizes data from the 2021 census and other relevant sources to examine the demographic trends in the Republic of North Macedonia, including population decline, aging, and emigration patterns. By examining these interrelated factors, the paper aims to provide insights into the challenges faced by the Macedonian economy and propose policy recommendations to promote sustainable development and address demographic challenges effectively. [ABSTRACT FROM AUTHOR]

Background: Optimizing the energy consumption structure (ECS) is conducive to promoting the efficiency and quality of regional green economic development (GED). This paper discusses the current situation of green economic development (GED) in China and how optimizing the energy consumption structure (ECS) can promote green economic development (GED). Methods: A systematic literature search (from January 2013 to July 2024) was conducted using the keywords "green economic development" and "energy consumption structure" in the following databases: Web of Science, Embase, Science Direct, and PubMed. In this paper, the entropy method was used to measure the GED indicator system, Arcgis drawing was applied to show the current status of GED development, and the theme of this paper was investigated by constructing the basic regression model, Spatial Durbin model, mediating effect model, and moderating effect model. Two researchers independently screened and extracted data. Results: The analysis of empirical tests in 30 provinces yielded the following results: The overall development of China's GED shows a fluctuating upward trend. However, there is a regional development imbalance, and the development level of the eastern region is significantly higher than that of the central and western regions. The optimization of ECS contributes significantly to the improvement of GED. And the effect of optimizing ECS on GED has an apparent spatial spillover effect. The optimization of ECS in neighboring regions also promotes the increase of GED in the region, and this feature is more obvious in the central and western regions. The spatial effect of ECS optimization on GED is shown as Central Region > Western Region > Eastern Region. The total effect of the upgrading of the energy consumption structure and its impact on surrounding areas is shown in the following regions: Western region > Central region > Eastern region. The analysis of the mechanism effect shows that upgrading industrial structure is the main mechanism for optimizing ECS on GED. Discussion: The results show that the optimization and upgrading of ECS is the driving force behind the development of GED, and that there is a need to break down barriers between regions to promote the common development of GED, as well as to play a role in the mechanism of industrial structure. [ABSTRACT FROM AUTHOR]

Tourism development can stimulate regional economic growth and improve living standards in economically underdeveloped regions. However, rapid tourism expansion may also negatively affect regional sustainability, particularly in eco‐fragile areas. As a representative arid and semiarid region, Northwestern China provides a valuable case for analyzing the coupling coordination relationship within the tourism–economy–ecology (TEE) system. This analysis is crucial for promoting sustainable tourism development in eco‐fragile areas. This paper utilizes the entropy weight method, coupling coordination degree (CCD), and obstacle degree models to assess the development level, coupling status, and related obstacles within the TEE system across the five northwestern provinces from 2011 to 2022. The results show the following. (1) While the northwest region has made significant strides in environmental management, most provinces have low comprehensive development status in tourism and economic subsystems, which lag behind the ecological system's development. (2) The CCD level in each province improved continuously from 2011 to 2022. Provinces with lower coupling coordination in 2011 had higher improvement rates in the later period. (3) The obstacles to coordinated development shifted over time, ranging from low foreign exchange earnings from tourism and low international tourist arrivals in 2011 to low forest management areas in 2019 and a significant decline in foreign exchange earnings from tourism in 2022. (4) The impact of COVID‐19 on the coordinated development of the TEE system has been relatively manageable. While most provinces in the northwest continue to see steady ecological improvement, the challenges of lagging tourism development and insufficient economic growth momentum remain significant. Based on this analysis, this paper offers four policy recommendations to support the sustainable development of arid and semiarid regions in Northwestern China. These recommendations provide valuable insights for achieving high‐quality economic development in other eco‐fragile areas. [ABSTRACT FROM AUTHOR]

This study introduces the concept of "energy level" into the analysis of innovation ecosystems. Drawing on the theory of "architects", we have identified the key architects of regional digital innovation ecosystems. By integrating Necessary Condition Analysis (NCA) and Fuzzy-set Qualitative Comparative Analysis (fsQCA), we examined the configuration effects of internal architects, external architects, and digital innovation habitats on the energy level of these ecosystems, utilizing data from 30 provinces in China as case studies. The results indicate that the contribution of a single architect to achieving a high energy level in a regional digital innovation ecosystem is limited and cannot be regarded as a necessary condition for driving a high energy level. However, core innovation actors and digital infrastructures emerge as more significant core conditions. The architects of regional digital innovation ecosystems exhibit multiple concurrent causal relationships. The configuration paths of high and non-high energy levels of ecosystems display a causally asymmetric "multiple paths to the same outcome" relationship. The three identified paths for driving high energy levels are categorized as "core actor-infrastructure"-driven paths. The findings of this paper hold substantial theoretical and practical significance for fostering the healthy development of regional digital innovation ecosystems. [ABSTRACT FROM AUTHOR]

The ecological compensation mechanism is a tool for managing regional development and promoting the green economy. This paper proposes a revised model for carbon emissions and absorption based on IPCC, then analyses the spatial and temporal variations of carbon emissions, absorption, and deficit in 31 provinces of China from 2001 to 2019. A model was developed to redistribute carbon deficits and compensate for ecological imbalances, with the aim of eliminating background differences between regions. The concept of ecological compensation sensitivity was proposed, and a redundancy analysis (RDA) was conducted to detect possible influencing factors. Results indicate that: (1) The carbon deficits were relatively substantial in the centre and developed coastal regions, which were the subject regions of China's ecological compensation. Meanwhile, the northwest and southwest regions were the object regions of ecological compensation, and the compensated object regions tended to extend towards the southeast. The majority of compensated subject areas are generally less sensitive than compensated object regions. (2) The graph of carbon deficit volume over time shows that China's two carbon targets are closely aligned. The distribution of China's ecological compensation amounts follows the pattern of provincial economic development levels, with higher compensation amounts concentrated in the central and coastal regions. There is a positive correlation between GDP, year, and population size with carbon emission and carbon deficit. Additionally, there is a positive correlation between year, region, and carbon absorption. (3) This compensation model can strongly incentivise the compensation subject area to proactively adjust its economic development model to cope with the significant compensation pressure. Additionally, it can fully encourage the compensation recipient area to continue adhering to the green economic development model. The conclusions of the study hold significant reference value for promoting the development of a green, low-carbon economy. [ABSTRACT FROM AUTHOR]

To rationally allocate land resources, the government has formulated biased land resource supply policies. However, this policy will promote the fluctuation of regional housing prices, thereby affecting regional innovation efficiency. To elucidate the intrinsic logical relationship among these factors, this study investigates the influence of biased land resource supply policies on housing prices and innovation across 31 Chinese provinces over a 16-year period. It places particular emphasis on probing into the spatial disparities in this impact. The innovation of this paper lies in the development of a theoretical analysis model, which creatively utilizes the regional land supply status as an instrumental variable to address the endogeneity problem. At the same time, a double robustness test was conducted by substituting the explanatory variables and employing the fixed effects model. The results of the TSLS regression indicate: (1) The land resource supply policy, which prioritizes the central and western regions, has resulted in an increase in housing prices across the majority of regions in China, with the eastern region experiencing a more rapid rise compared to the central and western regions. (2) The accelerated growth of housing prices in the eastern region is likely to exert a more pronounced inhibitory effect on innovation compared to the central and western regions. In summary, China's land resource supply policy, which favors the central and western regions, has exacerbated the rise in housing prices in the eastern region, and rising housing prices will inhibit the innovation efficiency of the region. Hence, it is imperative for the government to continuously optimize and adjust land resource supply policies, ensuring their alignment with population migration patterns, stabilizing the real estate market, while also considering the innovation efficiency of regional development. [ABSTRACT FROM AUTHOR]

This paper revisits China's city-regionalism based on a multi-scalar reading of state entrepreneurialism, with a special focus on the transition from the Pearl River Delta (PRD) to the Greater Bay Area (GBA). We first propose a multi-scalar theoretical framework of state entrepreneurialism to comprehend China's city-regional development. At the national scale, the central state maintains planning centrality by establishing normative goals through national political mandates and orchestrating socio-spatial reconfiguration of city-regions using various planning techniques (e.g., zoning, annexation, connectivity, and place-making), which demonstrates state spatial selectivity. At the local scale, city-regional development, led by the local state, pivots on the mandates and resorts to market instruments. Place-specific contexts and development trajectories give rise to distinctive 'regional models' and contingent socio-spatial processes. From a historical-geographical perspective, these contingent socio-spatial processes represent both the outcome of and the precondition for successive waves of state spatial selectivity in city-regional development. Building upon the dynamic interplay between state spatial selectivity and contingent socio-spatial processes, we present a periodised analysis to delve into the ongoing transformation from the PRD to the GBA. Amidst evolving global-local conjunctures and shifting national political mandates, state spatial selectivity within the PRD-to-GBA transformation is categorised into three periods: (1) 1980s to early 1990s: exploiting zoning technologies to institutionalise exceptionality within delimited areas for undertaking market-oriented experiments; (2) mid-1990s to 2000s: empowering entrepreneurial cities to drive market-oriented development while managing their size, internal hierarchy, and external connections; and (3) 2010s onwards: an intensified planning centrality at the national scale and the reinvention of zoning technologies to emphasise relationality, reshaping the urban-regional and cross-border dynamics of the GBA within an 'integration' framework. In conclusion, this paper reflects on the variegated geographies of China's city-regionalism – the socio-spatially distinctive, temporally evolving and ultimately polymorphic, multi-scalar construction of Chinese city-regions. [ABSTRACT FROM AUTHOR]

Carbon compensation can guide human activities in reducing carbon emissions or increasing carbon sequestration and also represents an important approach for coordinating regional development. In this paper, Chongqing Municipality, whose internal development is varied, was selected as a case study. The annual carbon emissions, carbon sequestration, carbon deficits, and inter-regional carbon compensation costs from 2000 to 2021 were continuously estimated via local optimization methods, and a carbon compensation zoning scheme was proposed that integrates the present situation and trend analysis. The results show that (1) Chongqing's total carbon emissions were greater than the total carbon sequestration, and the carbon deficit was approximately 556.24 × 104 t~3621.58 × 104 t. (2) County-level carbon budgets have large regional differences; the counties that should always receive carbon compensation are from the southeast and northeast regions, and the counties that should always pay carbon compensation are from central urban areas and the surrounding new urban areas. (3) All the counties were zoned into key payment areas, basic payment areas, key recipient areas, and basic recipient areas. The key payment areas, which account for 39.47%, maintain and grow payment status and are the main sources of carbon compensation costs, while the key recipient areas, which account for 44.74%, maintained a negative compensation status and a continuous downward trend, meaning that they may receive increasing carbon compensation costs. This paper revealed inequities in carbon compensation and proposed a novel zoning solution, which can provide scientific reference and data support for further establishing inter-regional carbon compensation mechanisms. [ABSTRACT FROM AUTHOR]

The use of digital technology by banks and other financial institutions to facilitate financial inclusion is referred to as digital financial inclusion. This fusion of digital finance and traditional banking methods has the potential to impact banks' operational effectiveness. This study uses the panel effects model to examine the link between digital financial inclusion and bank performance in 30 Chinese provinces from 2012 to 2021. This research uses kernel density estimation to examine the spatial-temporal growth patterns of both variables. The mediator variable in examining how digital financial inclusion affects bank performance is risk-taking. Finally, the paper analyses the regional heterogeneity of the impact. It presents the following conclusions: (1) In China, digital financial inclusion and bank performance have constantly increased, with noticeable regional variances in their development levels. This regional inequality has widened gradually since 2018, yet it has not resulted in polarization. (2) The significant positive correlation between digital inclusive finance and banking performance indicates that banking performance tends to increase with the enhancement of digital inclusive finance. (3) Digital financial inclusion impacts bank performance, with risk-taking as a moderator. The spread of digital financial inclusion services enhances banks' willingness to take risks, enhancing overall efficiency. (4) Digital financial inclusion boosts bank performance in the Northwest, South, North, and East regions while lightly inhibiting it in the Central region. Based on the findings, this study makes bank and government suggestions. [ABSTRACT FROM AUTHOR]

This research paper introduces a novel approach by combining a Backpropagation (BP) neural network with a non-angular and non-radial directional distance function to construct a BPNN-DDF model. This innovative model evaluates, decomposes, and analyzes China's agricultural sector's carbon emission rate across nine key subregions between 2010 and 2021. The key findings of this study are that China's agricultural carbon emission rate is decreasing, primarily due to technological advancements rather than technological efficiency. Subregions with robust economies and stable climates exhibit higher carbon emission efficiency, whereas those with underdeveloped economies, low agricultural technology, and volatile climates show relatively lower efficiency. The Dagum Gini coefficient analysis reveals a widening disparity in carbon emission rates among agricultural subregions, escalating from 0.174 in 2010 to 0.425 in 2021, indicating a growing gap between subregions that demands immediate attention. The kernel density distribution demonstrates an overall upward trend in China's carbon emission efficiency but also highlights an increasing divergence among subregions, particularly between the South China Area, the Huang-Huai-Hai Plain, and other regions. Therefore, this paper posits that strategies focusing on technological progress, sustainable agricultural development, regional development initiatives, and addressing inter-subregional imbalances will be crucial pathways for China's future low-carbon agricultural development. [ABSTRACT FROM AUTHOR]

The coordination and stability of the regional economy (RE) and ecological quality (EQ) are essential for the synergistic development of the Beijing–Tianjin–Hebei urban agglomeration (BTH). In this paper, based on remote sensing data and economic statistics data, this paper analysed the current situation and evolution of the RE and EQ in the BTH region. Based on the coupled coordination degree (CCD) model, this paper has developed an evaluative framework and quantifies the spatiotemporal coupled coordination of the RE and EQ in the BTH region from 2000 to 2020. The results show that: (1) in 2020, the GDP of the poverty-stricken counties (PSCs) around BTH accounted for 4.57% of the total BTH region, and the area of high-quality ecosystems, Net Primary Productivity (NPP), soil conservation, water conservation, and sand fixation accounted for more than 40% of the total BTH region; (2) the GDP growth of the PSCs accounted for 4.45% of the total growth in BTH, the reduced area of high-quality ecosystems accounted for 21.04%, and the increase in NPP, soil conservation, water conservation, and sand fixation accounted for more than 40% of the total growth in the BTH region; (3) the CCD of the RE and EQ in the BTH region showed a tendency to increase, but the gap between the regions gradually expanded, and the development type changed from a lagging RE to a lagging EQ, in which the coupled coordination grade of the PSCs was in a dissonance stage for a long time, and the level of economic development had to improve. Deepening the understanding of the spatiotemporal coupling relationship between the RE and EQ and adopting appropriate development policies is of great significance for achieving the coordinated and integrated development of the BTH region. [ABSTRACT FROM AUTHOR]

Digital transformation is conducive to food security. This paper constructed an index system of the digitization level of the grain industry chain based on the panel data of 30 provinces in China from 2011 to 2022. It adopted the entropy method to measure it and analyzed the law of its spatial–temporal evolution. It was found that the digitization level of China's grain industry chain has shown a year-on-year growth trend, and, at the same time, there are spatial spillover effects and spatial heterogeneity. Analyzed by Theil's index, there were evident differences among the four major regions and three major grain functional areas in China, and the differences mainly originated from within the region, and there was a phenomenon of "digital divide". The digitalization level of China's grain industry chain has shown a decreasing trend of "East-Middle-West". In conclusion, this paper proposes practical countermeasures to facilitate the digitization level of the grain industry chain in China, thereby providing developing countries with a reference value for the digital transformation of the grain industry chain. Therefore, we should promote the construction of digital infrastructure, increase the cultivation of digital talents, coordinate regional development, and accelerate the digital transformation of the grain industry chain. [ABSTRACT FROM AUTHOR]

The paper aims to comprehensively examine the critical role of rural development in the broader framework of achieving the Sustainable Development Goals (SDGs). Employing a robust mixed-methods research design, we explore global and regional rural development policies through a cross-cutting analysis. The primary objective is to uncover the profound and positive impact of specific interventions on critical SDG indicators, with a particular focus, on poverty reduction, improved access to education and healthcare, and significant progress in agricultural productivity. Our research uses a mixed-methods design, combining quantitative analysis, qualitative insights from community engagement sessions, and spatial analysis using GIS-based mapping. Preliminary results show a promising correlation between sustainable agricultural practices and meeting the SDGs, with a 30% reduction in food insecurity rates, while the qualitative insights indicate a notable increase in community cohesion and empowerment, highlighting the impact of rural development on well-being. Summarising these multi-faceted findings, our study highlights the symbiotic relationship between rural development initiatives and the SDGs. The imperative for context-specific and adapted strategies is evident from the spatial analyses, highlighting the need for a comprehensive, integrated and locally informed approach to achieve sustainable and equitable overall development. The paper advocates the recognition of rural development as a key driver for positive change in pursuit of the SDGs, providing valuable insights for policy makers, practitioners and researchers. [ABSTRACT FROM AUTHOR]

Regional development is not a dinner party, but rather a largely contested matter in which its political dimension and power relations play key roles. This paper calls for a research agenda to understand more about how power relations and the use of language—specifically, metaphors—can be integrated into regional development studies. In contrast to major strands of the regional development literature, an important contribution of this paper is that we treat regional development processes not as a purely economistic process, but rather as a conflictual process in which different opinions or even divergent views emerge and compete through different language relationships. This occurs on a multitude of occasions, such as when there is a discussion about building new infrastructure and its related socio-economic and environmental impacts, when people have different views on possible regional futures or when certain regional economic sectors are prioritised by politicians and policymakers. We address three main research questions. (1) What can scholars in the field of regional development learn from previous studies of power relations in the fields of economic geography and political science? (2) What are the most promising research tendencies in which the study of politics and power relations can be embedded? (3) Through which original lens (i.e., language) and methodology (i.e., narratives) might empirical analyses best be conducted on the topics we illustrate? [ABSTRACT FROM AUTHOR]

Industrial Organization, the Resource-Based View, and the Relational View are some classical, well-established, and widely accepted theories in the strategic management domain regarding the understanding, explanation, and prediction of competitive advantage of firms and above-average firm performance. Recent evidence of economic geography and regional economics added to this stream of research new perspectives like cluster theory and microeconomic competitiveness. Despite the high enthusiasm with which companies and policymakers embraced the new advancements, there is some contradictory evidence regarding the positive effect of local conditions on firm performance. Thus, in this paper, we aim to empirically test some aspects of a modern regional development theory, proposed mainly by Michael Porter and collaborators, and the impact of these aspects on firm performance. External determinants considered at three levels of analysis (local economy, local clusters, and industry) will be investigated in relation to firm performance. We will analyze empirical data through detailed correlational analyses and by building multilinear regression models. After the statistical analysis of the answers provided directly by 67 medium and large manufacturing companies operating in Romania, we will provide empirical support for some external determinants, while for other determinants, we will show that the data rejected the proposed associations. The main conclusion derived from this study is that different combinations of external determinants, considered at all three levels of analysis, have a positive and significant effect on different measures of firm performance. The findings in our paper are important for both regional economics and the strategic management literature, suggesting the importance of creating local or urban conditions depending on the type of performance that the firms in the local economy are underperforming. [ABSTRACT FROM AUTHOR]

Copyright of Raumforschung und Raumordnung is the property of Oekom Verlag GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To facilitate accurate prediction and empirical research on regional agricultural carbon emissions, this paper uses the LLE-PSO-XGBoost carbon emission model, which combines the Local Linear Embedding (LLE), Particle Swarm Algorithm (PSO) and Extreme Gradient Boosting Algorithm (XGBoost), to forecast regional agricultural carbon emissions in Anhui Province under different scenarios. The results show that the regional agricultural carbon emissions in Anhui Province generally show an upward and then downward trend during 2000–2021, and the regional agricultural carbon emissions in Anhui Province in 2030 are expected to fluctuate between 11,342,100 tones and 14,445,700 tones under five different set scenarios. The projections of regional agricultural carbon emissions can play an important role in supporting the development of local regional agriculture, helping to guide the input and policy guidance of local rural low-carbon agriculture and promoting the development of rural areas towards a resource-saving and environment-friendly society. [ABSTRACT FROM AUTHOR]

Territorial spatial planning involves fixability and flexibility in different driving factors related to control and development orientation, and they play an important role in regional sustainable development, especially in developing countries such as China. With rapid urbanisation and industrialisation, China has been impacted by conflicts between development and protection in territorial space. To integrate the contradictions among different territorial spatial planning measures, planners and scholars have started to focus on studies regarding fixability–flexibility relationships and integration. However, the relationship between and integration of fixability and flexibility in territorial spatial planning have yet to be clearly summarised. This paper explores an innovative research direction for the fixability–flexibility relations in territorial spatial planning from a new perspective, the Food–Energy–Water Nexus, which is a dynamic and comprehensive framework for Sustainable Development Goals (SDGs) studies. This paper covers the existing research on fixability and flexibility in territorial spatial planning. Moreover, after summarising the conflicts of fixability and flexibility, the dialectical relationship between and the integration of fixability and flexibility are researched. [ABSTRACT FROM AUTHOR]

The presented herein bibliometric analysis delves into the intricate relationship between transport infrastructure and regional development, aiming to fill a gap in the existing literature. Utilizing a number of widely recognized bibliometric techniques, such as citation analysis, co-authorship analysis, co-occurrence analysis, and bibliographic coupling analysis, the study provides a holistic overview of key trends, research clusters, as well as methodological approaches in the field. Notably, the citation analysis reveals a diverse array of highly cited papers, ranging from green logistics to the impacts of COVID-19 on the global economy, underscoring the multidimensional nature of research in the domain. The co-authorship analysis illuminates complex collaborative networks among countries, with prominent clusters such as the European and the Asian-Pacific clusters, highlighting the dynamic and interconnected nature of international collaborations. The co-occurrence analysis identifies four thematic clusters, emphasizing the interconnectedness of infrastructure, regional development, economic growth, environmental considerations, and spatiotemporal dynamics. Methodological approaches, dominated by economic theory and quantitative methods, are also classified. Addressing limitations, including the potential bias introduced by specific keywords and database restrictions, the research provides valuable insights for researchers, practitioners, and policymakers, paving the way for further refinements in understanding the evolving landscape of transport infrastructures and regional development research. [ABSTRACT FROM AUTHOR]

The study of spatio-temporal evolution characteristics and factors affecting the coordinated development of population and green economy (CD_PGE) in Shandong province, China, has significant decision-making implications for promoting high-quality and sustainable regional development. Based on 2001 to 2020 panel data for each city and economic zone in Shandong province, this paper constructs an evaluation model for the CD_PGE systems. Using growth elasticity models, geographic concentration models, kernel density estimation models, spatial autocorrelation, analysis of population and regional green economy development in Shandong Province from the perspective of spatial agglomeration coupling, spatial and temporal coupling coordination patterns, and evolutionary characteristics. In addition, we use the fixed effect models and panel quantile models to empirically test the effects of coordinated demographic and green economy development. The results show that: (1) In terms of demo-graphic and economic development characteristics, Shandong's demographic and green economy development trends are good, but there are still many challenges. (2) According to the time series evolution and spatial distribution characteristics, the degree of CD_PGE in Shandong Province is on the rise, and the level of spatial distribution is distinct. (3) From the spatio-temporal dynamical grid evolution of the degree of CD_PGE, the CD_PGE is characterized by significant spatial clustering, but with large regional differences. (4) From an impact factor perspective, both market mechanisms and government intervention have a significant impact on the degree of CD_PGE, but the direction and extent of the impact vary. [ABSTRACT FROM AUTHOR]

The low-carbon economy represents a global transformation that encompasses production methods, lifestyles, values, national interests, and the destiny of humanity. As a significant contributor to carbon emissions, China has made a momentous strategic decision on carbon peaking and neutralization, infusing momentum into the global effort to address climate change. The rapid growth of the digital economy offers a fresh approach to achieving the "double carbon" objective and advancing the development of low-carbon transformation. Based on the panel data of 30 provinces in China, this paper uses the least square method to investigate the impact of digital economy development on regional low-carbon inclusive development. It is found that there is a significant inverted U shape in the impact of the digital economy on low-carbon inclusive development and the mechanism is resource allocation and ecological inequality. The threshold test found that the role of the digital economy in promoting low-carbon inclusive development shows a marginal decreasing trend. The inverted U-shaped impact of the digital economy on low-carbon inclusive development in the eastern and coastal areas and areas with a low level of factor productivity is more significant. Based on the knowledge factor spillover perspective, we found that the impact of the digital economy on low-carbon inclusive development has a spatial spillover effect, and this effect is more obvious under the role of R&D personnel mobility. [ABSTRACT FROM AUTHOR]

The Yangtze River (hereafter referred to as the YZR), the largest river in China, is of paramount importance for ensuring water resource security. The Yangtze River Basin (hereafter referred to as the YRB) is one of the most densely populated areas in China, and complex human activities have a significant impact on the ecological security of water resources. Therefore, this paper employs theories related to ecological population evolution and the Driving Force-Pressure-State-Impact-Response (DPSIR) model to construct an indicator system for the ecological security of water resources in the YRB. The report evaluates the ecological security status of water resources in each province of the YRB from 2010 to 2019, clarifies the development trend of its water resource ecological security, and proposes corresponding strategies for regional ecological security and coordinated economic development. According to the results of the ecological population evolution competition model, the overall indicator of the ecological security of water resources in the YRB continues to improve, with the safety level increasing annually. Maintaining sound management of water resources in the YRB is crucial for sustainable socioeconomic development. To further promote the ecological security of water resources in the YRB and the coordinated development of the regional economy, this paper proposes policy suggestions such as promoting the continuous advancement of sustainable development projects, actively adjusting industrial structure, continuously enhancing public environmental awareness, and actively participating in international ecological construction and seeking cooperation among multiple departments. [ABSTRACT FROM AUTHOR]

Copyright of Bulletin of Ablai Khan KazUIRandWL: Series 'International Relations & Regional Studies' is the property of Kazakh Ablai Khan University of International Relations & World Languages and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Industrial land is essential for supply-side structural reforms, particularly in the Chengdu–Chongqing area, Western China's most densely populated and industrially robust region. This area, a pivotal hub linking Southwest China with South Asia and Southeast Asia, is critical for the national strategic layout and regional economic restructuring. Despite its substantial industrial foundation as an old industrial base, internal developmental stagnation has led to an irrational industrial land use structure. This paper analyzed land transaction data from the China Land Market Network (2010–2021) using methods such as kernel density estimation, the standard deviation ellipse method, and Global Moran's I index. The analysis focuses on the spatiotemporal evolution of industrial land marketization and its driving factors in 44 cities within the Chengdu–Chongqing economic circle. The findings aim to enhance the strategic implementation of national policies and regional economic optimization, suggesting intensified development efforts in key cities and promoting integrated growth in potential areas like Suining and Ziyang to foster a conducive environment for high-quality regional development. [ABSTRACT FROM AUTHOR]

Sustainability has become an extensive concern in biological and social research. As for urban–rural development, narrowing the disparities between urban and rural areas and leading to urban–rural integration is a tendency of urban–rural development worldwide and an inevitable way to create a sustainable human society. China is in a critical stage of significant challenges and opportunities with a scale and pace unique in history. Although some studies have begun to focus on sustainable urban and rural development, they have often neglected to assess issues related to rural areas. China has undergone the adjustment of rural structure and development policies, and the sustainable development of rural areas should be given enough attention. This study constructs a system of indicators related to rural public resources, aiming to assess whether there are distributional inequalities in spatial allocation. The calculations show that: (1) China's rural public resources allocation coefficient is stable at 0.2 to 0.3 at the national level. (2) Even under policy support, a significant decline rate change still occurs. (3) Western education resources are allocated relatively compared with eastern provinces, but resources are rarely in medical and social security. China has implemented a firm macro-control policy regarding resource allocation in rural areas. Furthermore, the government should continue to increase investment in human resources and public facilities to adjust regional differences. This paper analyzes the allocation structure of rural resources based on China's new policy theory. It has opened a new path in sustainable rural development governance and public resource allocation to provide constructive suggestions for sustainable rural development in China and other developing countries. [ABSTRACT FROM AUTHOR]