Search Results (58)

Urban–rural integration realises the coordinated development and prosperity of urban and rural areas as a whole by optimising the allocation of resources and the flow of factors, and its connotations have been extended from a single dimension to multiple dimensions such as people, land and industry. The Beijing–Tianjin–Hebei Region has a typical “Core–Periphery Structure”, and this paper took the 187 county units within the region as the research object, taking into account indicators of development and coordination to construct an evaluation index system of urban–rural integration of the Beijing–Tianjin–Hebei region counties in the dimensions of “people–land–industry”. Global principal component analysis was used to measure the evolutionary pattern of the urban–rural integration level between 2005 and 2020, and its spatiotemporal drivers were analysed by using the Geographical and Temporal Weighted Regression model (GTWR). The results of the study show that (1) the level of urban–rural integration in the Beijing–Tianjin–Hebei region showed an increasing trend during the 15-year study period, the high-value areas of urban–rural integration were mainly distributed in Beijing and the Bohai Rim region in the eastern part of the Tianjin–Hebei region, and the level of urban–rural integration of the peri-urban county units of the city was better than that of the remote counties and cities as a whole. (2) In terms of spatial agglomeration, all dimensions were characterised by significant spatial agglomeration. The degree of agglomeration was categorised as urban–rural comprehensive integration (U-RCI) > urban–rural industry integration (U-RII) > urban–rural land integration (U-RLI) > urban–rural people integration (U-RPI). (3) In terms of spatial and temporal driving factors for urban–rural integration, the driving role of U-RPI, U-RLI and U-RII for U-RCI has gradually weakened during the past 15 years, and urban–rural integration in the counties shifted from a single role to a more central coordinated and multidimensional driving role. Full article

Massive relief supplies inter-regional lateral transshipment (MRSIRLT) can significantly enhance the efficiency of disaster response, meet the needs of affected areas (AAs), and reduce deprivation costs. This paper develops an integrated allocation and intermodality optimization model (AIOM) to address the MRSIRLT challenge. A phased interactive framework incorporating adaptive differential evolution (JADE) and improved adaptive large neighborhood search (IALNS) is designed. Specifically, JADE is employed in the first stage to allocate the volume of massive relief supplies, aiming to minimize deprivation costs, while IALNS optimizes intermodal routing in the second stage to minimize the weighted sum of transportation time and cost. A case study based on a typhoon disaster in the Chinese region of Bohai Rim demonstrates and verifies the effectiveness and applicability of the proposed model and algorithm. The results and sensitivity analysis indicate that reducing loading and unloading times and improving transshipment efficiency can effectively decrease transfer time. Additionally, the weights assigned to total transfer time and costs can be balanced depending on demand satisfaction levels. Full article

Free trade zone (FTZ) policies and port integration play critical roles in advancing international shipping and port development. While Free trade zones (FTZs) promote trade liberalization and attract investment to support port infrastructure, port integration helps alleviate excessive competition, reduce redundant labor, and minimize resource inefficiencies. Given these dynamics, it is important to examine how FTZs and port integration differentially shape shipping capacity and port competitiveness across China’s coastal provinces. To this end, this study introduces a comprehensive evaluation framework for port competitiveness, which considers both port operation–related factors and the external environment. The framework employs a combination of principal component analysis and the entropy weight method to assess port competitiveness in coastal regions. The findings reveal that comprehensive port service capacity and management efficiency capacity have the most significant influence on port competitiveness, outweighing the impact of other evaluated indicators. It also reveals that the development of China’s coastal ports is regionally unbalanced, with strong competitiveness in the Yangtze River Delta, Pearl River Delta, and Bohai Rim clusters, moderate development in the southeastern cluster, and relatively weak performance in the Beibu Gulf cluster. Both FTZ and port integration policies can promote port competitiveness to some extent, especially for professional technical support and services, digital management, and overall management efficiency. The dynamics of port competitiveness under the FTZs are higher than those under port integration. The research results deepen the understanding of the roles of FTZ and port integration policies in promoting the competitiveness of ports in various regions and provide insights for ports to seize opportunities and enhance development. The reinforcement of industrial synergies with neighboring regions and the formation of complementary development patterns enhance their overall competitiveness. Exploring new modes aligned with the advancement of FTZs and port integration can further stimulate regional economic development and support national opening-up strategies. Full article

The adoption of conservation agriculture techniques plays a crucial role in preventing soil erosion and guaranteeing food security. The purpose of this paper is to examine the impact of the adoption of conservation agricultural technologies on income. Based on the survey data of 922 households in five provinces and cities in the Bohai Rim region in 2023, the study analyzes the impact of different attributes of technology adoption on farm household income through ESR (endogenous switching regression) models and different forms of mediated effects models. The empirical results show the following: (1) The income effects generated by different adoption statuses of conservation agriculture (CA) technologies vary, and the income effects for farmers who adopt multiple conservation agriculture (CA) technologies jointly are even worse. (2) Farmers’ time allocation mediates the effects of technology attributes on adoption. Specifically, farm work is the main mediating variable, while off-farm work plays a moderating role between the yield effect and income. (3) The complex technology adoption chain inhibits farmers from increasing production and income, while the farmers’ jobs in the non-agricultural sector have reduced this impact to a certain extent. In terms of policy recommendations, governments should enhance technical training programs for farmers, improve the market environment, and offer access to highly mechanized agricultural production trusteeship services to encourage the greater adoption of conservation agriculture (CA) technology among farmers. Full article

The rapid expansion of mariculture in the Bohai Rim Region, a key marine economic zone in North China, has led to various environmental challenges. This study evaluated the spatiotemporal heterogeneity of emission fluxes and identified the primary influencing factors of mariculture in the Bohai Rim Region during 2014–2023. The findings hold both theoretical and practical significance for promoting the sustainable development of the nearshore environment. On the basis of mariculture data, the pollution coefficient method (PCM) was applied to quantify emission fluxes, whereas the logarithmic mean Divisia index (LMDI) model and Spearman rank correlation were used to analyze influencing factors. The results indicate that (1) the spatiotemporal heterogeneity of mariculture pollution discharge was influenced primarily by mariculture taxa and policy regulations and that (2) the filtration capabilities of shellfish suggest that an integrated mariculture strategy involving shellfish and other taxa could significantly mitigate pollution. The optimization of breeding structures and advancements in technology play crucial roles in reducing mariculture-related pollution emissions. (3) A significant decline in pollutant levels was observed following the implementation of the Action Plan for Comprehensive Management of the Bohai Sea (CMAP-BS). These findings provide a scientific basis for transforming the environmental management of mariculture in coastal regions of China. Full article

This study utilized policy text quantification, the entropy weighting technique, and the standard setting of the vertical policy synergetic degree to measure the synergy status of the environmental protection and governance policies in the Bohai Rim Region horizontal space (2001–2021). The standard setting of the vertical policy synergetic degree encompasses three dimensions, namely the policy subjects, policy objectives, and policy instruments. A comprehensive text database was established to facilitate analysis with 122 pieces of Bohai Sea environmental governance policies. After policy text quantification, this research found that the weight coefficients of the three indicators of policy subjects, policy instruments, and policy objectives were slightly different. This study found that provinces should balance the roles of policy issuers, the selection of policy instruments, and the setting of objectives to enhance compatibility between local and central governance policies; the vertical synergy of policies is closely related to the scientific nature of policy formulation. The incompleteness of the vertical synergy of policies affects the effectiveness of Bohai Sea environmental governance. In the future, the Bohai Rim Region’s environmental governance should continue to deepen the synergy of policies, strengthen scientific governance, promote regional linkage, and improve the scientificity of the policy system. Full article

Exploring the development laws of new quality productivity and leveraging its role in empowering marine economy high-quality development (MEHQ) is of great significance for promoting the construction of a maritime power in China, achieving the goals of Chinese-style modernization and solidifying the country’s advantages in marine economic development. This paper systematically reviews the mechanisms and effects of new quality productivity (NQP) in empowering MEHQ. Using panel data from 17 cities along the Bohai Sea from 2010 to 2022, we comprehensively measure the combined levels of NQP and MEHQ. Employing various statistical analysis methods, including benchmark regression models, multiple mediation effect models, and spatial Durbin models, we empirically test the mechanisms and spatial spillover effects of NQP in empowering MEHQ. The results indicate that NQP has a significant positive driving effect on MEHQ, and this conclusion remains valid after a series of robustness tests. The empowering effect of NQP on MEHQ mainly occurs through three pathways: marine technological innovation, optimization of marine industrial structure, and improvement of marine resource allocation efficiency. There is a positive correlation between NQP and MEHQ, with significant agglomeration phenomena, reflecting the non-uniform characteristics of spatial distribution. NQP not only empowers MEHQ but also exhibits significant spatial spillover effects, promoting MEHQ in adjacent regions and releasing growth dividends. Full article

In recent years, population aging has started to profoundly affect the sustainable development of human society. Compared to developed countries, China faces a more pronounced challenge of “aging before affluence”. Based on data from China’s 5–7th national censuses, we selected relevant indicators such as the population aging rate and aging population growth rate to explore the multi-scale spatiotemporal evolution of population aging in the Bohai Rim Region during 2000–2020. On this basis, we classified the types of regional population aging. Representative indicators from two dimensions—population and socio-economic factors—were selected to analyze the driving factors of population aging using the Geodetector method. The results show that the degree of population aging exhibited a deepening trend in the Bohai Rim Region during 2000–2020, with its spatial clustering characteristics becoming increasingly pronounced. However, spatial clustering at the district and county scales was weaker than that at the prefectural scale. Overall, population aging exhibits a pattern whereby the eastern regions, centered on the Liaodong Peninsula and Jiaodong Peninsula, experience deeper levels of aging compared to the western regions. The growth rate of the aging population followed a declining trend across administrative divisions, in the order of urban districts, county-level cities, counties, and autonomous counties. At the prefectural, district, and county scales, demographic and socio-economic factors demonstrated significant influences, with population factors showing higher q-values than socio-economic factors. There are significant spillover effects of demographic and socio-economic factors on population aging in the BRR, with fertility, education, and urbanization being key drivers. Policy recommendations should focus on addressing regional disparities, with aging cities needing expanded care services and regions affected by out-migration requiring community-based care and better resource integration. Full article

The Bohai Rim Region plays a crucial role in the economy of northern China. Historically, the area’s development has been driven by resource-intensive industries, necessitating urgent structural transformation. In response, the government has actively promoted a green economic model. This study evaluates the efficiency of green economic performance and total factor productivity (TFP) across five provinces in the region, incorporating regional innovation capabilities and green innovation outputs into the green economy input–output system. The results show that green economic efficiency (GEE) has improved across regions, with higher technological advancement leading to greater improvements in green TFP. Additionally, the economic disparity between provinces and municipalities has been decreasing. This study indicates that, while inter-provincial differences are widening, intra-regional disparities are narrowing. Meanwhile, this study provides a foundation for regional economic integration and policymaking in the Bohai Rim, offering insights into balancing economic growth with environmental sustainability. Full article

The Yellow River Delta (YRD), as a key area for the economic development of the Bohai Rim region, significantly impacts soil fertility and plant growth through soil salinization content. Accurately determining the spatial distribution of soil salinization in the YRD is vital for regional salinity management and agricultural development. In this study, we constructed and evaluated three soil salinization indices—NDSI, SI, and S5—using measured soil conductivity data and three machine learning methods: Random Forest, Support Vector Machine, and XGBoost. The results indicate that the Support Vector Machine achieved the best inversion effect on regional salinization levels, with an Area Under Curve (AUC) value of 0.88. The salinization level in the YRD has shown an increasing trend over the years, decreasing spatially from north to south, from east to west, and from the coast inland. From 2003 to 2009, salinization was primarily concentrated in northern and eastern coastal areas, while from 2009 to 2021, it gradually expanded inland. The salinized area increased from 538.4 km² in 2003 to 761.5 km² in 2021, particularly between 2009 and 2015, with a 47.95% increase. The main factors influencing salinization in the YRD were distance from the Bohai Sea, seasonal average potential evapotranspiration, and seasonal average normalized vegetation index, with interaction-driven effects being stronger than single-factor effects. This study provides crucial scientific support for sustainable salinization management and ecological restoration in the Bohai Sea region. Full article

This study examines the role of bulk cargo ports in improving supply chain efficiency within the Bohai Rim port cluster in China, addressing a gap in the research that has primarily focused on container ports. By analyzing 13 ports in the cluster through the shiftrate model and network analysis, this research aims to understand their adaptation to changing trade patterns and economic conditions. The Bohai Rim is a key hub for four major bulk cargo types—grain, coal, oil, and ore—each with distinct growth rates and trade networks. This research classifies the ports into four tiers based on their operational capabilities and market influence. Key findings reveal that the cargo transport network has shifted from a tri-power structure (Dalian, Tianjin–Tangshan, Qingdao–Rizhao port groups) to a dual-core pattern, now led by Tangshan and Qingdao Ports. Qingdao Port, with its advanced technologies and international orientation, has become a central player in global dry bulk transport. This shift reflects the changing dynamics of regional trade, with Qingdao’s port technologies and global connectivity positioning it as a leader in the industry. This study provides valuable insights for port authorities, helping them understand the evolution of port systems and enhance the efficiency of neighboring ports. Full article

This study presents a dynamic multi-factor correlation analysis method designed to predict provincial carbon dioxide emissions (CDE) within China’s Bohai Rim region, including Tianjin, Hebei, Shandong, and Liaoning. By employing the sliding window technique, dynamic correlation curves are computed between various influencing factors and CDE at different time intervals, thereby facilitating the identification of key feature attributes. A novel metric, the Consistency Index of Influencing Factors (CIIF), is introduced to evaluate the consistency of these factors across regions. Furthermore, the Accurate Predictive Capability Indicator (APCI) is defined to measure the impact of different feature categories on the prediction accuracy. The findings reveal that models relying on a single influencing factor exhibit limited accuracy, whereas combining multiple factors with diverse correlation features significantly improves the prediction accuracy. This study introduces a refined analytical framework and a comprehensive indicator system for CDE prediction. It enhances the understanding of the complex factors that influence CDE and provides a scientific rationale for implementing effective emission reduction strategies. Full article

The green utilization of urban land is a critical component of regional high-quality development. Enhancing the green utilization efficiency of urban land (GUEUL) is of great significance to improving the quality of ecological environment and achieving a green lifestyle and low-carbon production. With the process of urbanization, the industrial structure is constantly adjusted, which has an impact on the structure and efficiency of urban land utilization. Taking 43 cities in the Bohai Rim region as an example, the super-efficiency slack-based measure model with undesirable outputs (super-SBM-undesirable model) was employed to evaluate the GUEUL from 2006 to 2021, and the panel quantile model was used to explore the impact of industrial structure on GUEUL. The results showed that the GUEUL in the Bohai Rim region appeared a fluctuating upward trend from 0.664 in 2006 to 0.837 in 2021. High-value zones shifted from western Liaoning province and southern Shandong province to a “C”-shaped belt around the coastline and expanded continuously, while low-value zones decreased significantly. Furthermore, the influence of industrial structure on GUEUL was significantly positive, but there were significant differences among different efficiency levels. Industrial structure upgrading exerted the most significant effect on GUEUL improvement in low-value zones, while industrial structure rationalization was dominant in high-value zones, and the influence of industrial structure technologization was more significant in medium-low-value zones. Therefore, differentiated industrial structure adjustment policies should be formulated based on the actual condition of each city to improve GUEUL. Full article

The Bohai Rim region constitutes the third prominent “growth pole” in China’s economic landscape, wherein the Bohai Rim multi-port system, encompassing Tianjin Port, Dalian Port, and Qingdao Port, engages in intense competition to establish itself as the foremost shipping hub in northern China. This study compares the ternary diagram method and employs the comprehensive concentration index (CCI), Lerner index (LI), and spatial shift-share analysis (SSSA) methods to delve into the intricacies of concentration, inequality, and evolving competitive dynamics within the Bohai Rim multi-port system over the four decades spanning from 1981 to 2023. The aim is to analyze the evolutionary trajectory and underlying dynamic mechanisms of this multipartite port system. The analysis delineates the development trajectory of the system into three stages: the dominant stage of Tianjin Port from 1981 to 1990, the efficiency competition stage from 1991 to 1996, and the ascendancy of Qingdao Port from 1997 to 2023. The results indicate that: (i) the Bohai Rim multi-port system exhibits a relatively low level of concentration, ensuring balanced growth within a non-monopolistic competitive environment; (ii) the internal competitiveness of the Bohai Rim multi-port system has gradually shifted from Tianjin Port to Qingdao Port, with Dalian Port experiencing steady development in its container transport capabilities. (iii) Dalian Port has witnessed a decline in container throughput since 2015, indicating a weakening competitive posture. These revelations suggest that Qingdao Port is a viable candidate for development into the northern China shipping center, leveraging its increasing competitiveness and strategic location. The method applied in this study may also prove beneficial for similar multi-port systems elsewhere. Full article

Interprovincial disparities in carbon emissions from the construction industry (CECI) are an important challenge for future emissions reductions. Based on the CECI data of 30 provinces in China from 2010 to 2020, the interprovincial equity and decoupling of CECI were examined in this study. The conclusions are as follows: (1): The main CECI growth regions were the eastern Bohai Rim region and the Pearl River Delta region. Heilongjiang basically achieved a CECI carbon peak in 2016. (2) The three northeastern provinces and western provinces were the main high–high and low–low aggregation areas, respectively. The greatest degree of inequality was found in the western provinces. The inequality between the eastern and western areas was the largest, while the inequality between the central and western areas was the smallest. The inequality in CECI in the north–south region decreased year by year. (3) The decoupling status of Shandong and some western provinces has significantly worsened, while the decoupling status of Sichuan, Yunnan, and some eastern developed provinces has been improving. These conclusions will contribute to the improvement of regional emission reduction strategies. Full article