Regional Growth Research Articles

Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach

In the field of construction engineering, the cracking of concrete structures is a common engineering problem, which has a great impact on the overall stability and service life of the engineered structure. During structural repair, crack detection is the most critical step. Automatic detection significantly reduces the engineering cost and human factor error compared with manual detection. However, due to the changeable environment of the project site and different image specifications, using a single algorithm makes it difficult to balance high efficiency and high accuracy. In this study, we designed a combined recognition method including the region growth algorithm and machine learning regression that can achieve a tradeoff between accuracy and efficiency. Firstly, the regression method learns the image features of the dataset and the specific region growth threshold, and the regression function is trained by using the open-source dataset to determine the region growth threshold using the characteristics of the images included in the tests. The region growth algorithm is used to expand the threshold from the seed points of the image to obtain the crack recognition results. The results show that this method improves the accuracy of SSIM by 7% compared with the traditional region growth algorithm, and does not significantly increase the computational cost, with an increase of 0.78 s per photo process. Compared with the deep learning method, the recognition accuracy of SSIM is decreased by 5.96%, but it takes less resources and has high efficiency.

Contrasting Supply Dynamics of Dissolved Iron and Nitrate Shape the Biogeography of Nutrient‐Limiting Conditions in the North Pacific

AbstractThe North Pacific is known with iron limitation for phytoplankton growth in the subarctic region and nitrogen limitation in the subtropical gyre. Although the growth rate of phytoplankton is determined by the concentration of limiting nutrient, the supply ratio of iron to nitrogen is suggested to be essential to this biogeographic pattern. However, the underlying dynamics determining the ratio remain largely unknown. We investigated mechanisms of dissolved iron (dFe) and nitrate (NO3−) transport to the euphotic zone of the North Pacific using an eddy‐resolvable biogeochemical model. We show that lateral advection and atmospheric deposition are dominant drivers for dFe transport, resulting in high Fe:N supply ratio in both subarctic and subtropical regions. Conversely, significant vertical supplies of NO3− through upwelling and diffusion processes markedly reduce the supply ratio in the subarctic region. These dynamics combined lead to high Fe:N supply ratio in the gyre and low ratio in the subarctic, ultimately driving high nitrogen fixation condition in the gyre and the iron‐limited phytoplankton growth condition in the subarctic region.

Evaluating the Patterns of Maize Development in the Hetao Irrigation Region Using the Sentinel-1 GRD SAR Bipolar Descriptor.

Assessing maize yield is critical, as it is directly influenced by the crop's growth conditions. Therefore, real-time monitoring of maize growth is necessary. Regular monitoring of maize growth indicators is essential for optimizing irrigation management and evaluating agricultural yield. However, quantifying the physical aspects of regional crop development using time-series data is a challenging task. This research was conducted at the Dengkou Experimental Station in the Hetao irrigation area, Northwest China, to develop a monitoring tool for regional maize growth parameters. The tool aimed to establish a correlation between satellite-based physical data and actual crop growth on the ground. This study utilized dual-polarization Sentinel-1A GRD SAR data, accessible via the Google Earth Engine (GEE) cloud platform. Three polarization descriptors were introduced: θc (pseudo-scattering type parameter), Hc (pseudo-scattering entropy parameter), and mc (co-polar purity parameter). Using an unsupervised clustering framework, the maize-growing area was classified into several scattering mechanism groups, and the growth characteristics of the maize crop were analyzed. The results showed that throughout the maize development cycle, the parameters θc, Hc, and mc varied within the ranges of 26.82° to 42.13°, 0.48 to 0.89, and 0.32 to 0.85, respectively. During the leaf development stage, approximately 80% of the maize sampling points were concentrated in the low-to-moderate entropy scattering zone. As the plants reached the big trumpet stage, the entire cluster shifted to the high-entropy vegetation scattering zone. Finally, at maturity, over 60% of the sampling points were located in the high-entropy distribution scattering zone. This study presents an advanced analytical tool for crop management and yield estimation by utilizing precise and high-resolution spatial and temporal data on crop growth dynamics. The tool enhances the accuracy of crop growth management across different spatial and temporal conditions.

Analysis of Leading Commodities of Plantation Sub-Sectors in Tanah Laut District, South Kalimantan Province

Leading commodities are crucial for understanding the potential of commodities in both national and international markets. Exceptional products can serve as distinct catalysts for regional growth. This study aims to investigate potential alternative plantation commodities, assess the development of production growth rates, analyze regional market share growth, proportional growth of net commodity growth in the plantation sub-sector, and identify the position of plantation sub-sector commodities in Tanah Laut District. Time series data from 2013 to 2021 were utilized, employing Shift Share Analysis, Location Quotient (LQ) Analysis, Dynamic Location Quotient (DLQ) Analysis, and Klassen Typology. The analysis revealed that although palm oil and cloves are basic commodities, they are experiencing a decline in perspective, whereas rubber, coconut, sugar palm, coffee, and pepper are prospective commodities for future development. Shift Share Analysis concluded that the regional market share growth of palm oil has good competitiveness and a positive Proportional Growth value, with coffee and sugar palm exhibiting rapid growth. Klassen Typology Analysis indicated that coconut, coffee, pepper, and sugar palm fall within the category of advanced but pressured sectors, while palm oil is categorized as a potential sector.

Regional Development Policies in Afghanistan and Neighboring Countries: A Comparative Analysis

This essay explores the regional development policies applied in Afghanistan and its neighboring countries using a comparative qualitative analysis method. It focuses on infrastructure development, human capital investment, regional integration, and technological innovation policies. It compares development policies in China, Iran, Pakistan, and Afghanistan highlighting key projects which have fostered regional connectivity and economic growth. By comparing these policies, the essay evaluates how these initiatives have contributed to reducing regional disparities. This study aims to provide insights into how regional development policies can address Afghanistan’s socio-economic disparities and promote sustainable development. Despite notable successes, the research identifies ongoing challenges such as political instability, limited financial resources, and weak regional cooperation that impede further progress in Afghanistan. Key policy recommendations for Afghanistan include enhancing regional cooperation, investing in technological infrastructure, and developing human capital to achieve sustainable growth and stability.

Ecological Suitability Evaluation of City Construction Based on Landscape Ecological Analysis

Ecological suitability evaluation is a critical component of regional sustainable development and construction, serving as a foundation for optimizing spatial patterns of regional growth. This is particularly pertinent in karst mountainous regions characterized by limited land resources and heightened ecosystem vulnerability, where a quantitative assessment of ecological suitability for land development is both crucial and urgent. Based on the fundamental principles of structural and functional dynamics in landscape ecology, this study focuses on Gui’an New Area, a designated urban development zone situated in the karst landscape of Guizhou Province. An index system was established encompassing three dimensions: ecological elements, ecological significance, and ecological resilience, utilizing the integrated ecological resistance (IER) model to evaluate the suitability of regional development and construction. The results reveal that the eastern region exhibits higher suitability compared to the central and western regions, with the northwest region demonstrating the lowest suitability overall. Relatively speaking, the evaluation of geological environment suitability and the comprehensive ecological constraints associated with development and construction indicates that the areas currently planned and ongoing reflect flat terrain and low ecological risk. Furthermore, within the scope of ecosystem dynamic adaptation, developmental activities in these regions exert minimal impact on the natural ecosystem, thereby demonstrating a high suitability for development and construction. In terms of future key development zones, areas with gentle slopes ranging from 8 to 15 degrees are recommended, aligning with the actual requirements for cultivated land protection. The total area designated as prohibited development zones constitutes the smallest proportion, representing only 9.45%, which is significantly lower than that of priority development zones (38.75%) and moderate development zones (22.45%). From the perspective of landscape ecology, this paper provides a comprehensive investigation into the ecological suitability evaluation system for development and construction in the karst regions of Southwest China, offering valuable insights for assessing ecological suitability in similar areas.

P2P Lending and Mobile Payments: Disrupting Traditional Banking Systems and Expanding Financial Inclusion

Technological development in the field of finance (FinTech) has sprouted and scaled up rapidly, disrupting the traditional banking system. The rise of new platforms allowing P2P lending and mobile payments has changed the way where and how people receive financial services by replacing professionally-managed financial intermediaries aka banks. This paper explores how P2P lending has enabled decentralised financing by providing flexible loans to borrowers, higher returns to lenders, and alternative credit-scoring methods to assess borrowers credibility. The subsequent development and recent widespread use of mobile payments have brought about transformative changes in finance where users can make payments without using physical cash or relying on banking infrastructure altogether. The combination of these technologies is providing inclusive finance by allowing unbanked and underbanked populations access to necessary financial services. This paper further delves into the challenges emerging from both these innovations, such as assessment of risks, security issues and regulatory uncertainty. The paper concludes by emphasising that new technology-based lending and payments have the potential to foster inclusive economic growth in rural, remote and low-income regions of the world, and by highlighting the challenges that needs to be tackled for FinTech to succeed.

What influences the development of wine-producing regions? New economic opportunities in the eastern foothills of the Helan Mountains in China

The formation and development of wine regions require unique natural conditions and hundreds of years of technical and cultural accumulation. The development of the wine industry at the eastern foot of Helan Mountain in China, in addition to the appropriate geographical environment, the technical migration, and talent flow supported by consistent policies, have improved the allocation ability of resource factors and conversion efficiency, making it a world-renowned new wine-producing region in just 40 years. This particular mechanism deserves attention as new industries develop in other parts of the world. Using the methods of spatial autocorrelation, hot spot analysis, and geographic detector, this paper comprehensively analyzes the growth and spatial evolution characteristics of wineries in the eastern foot of Helan Mountain in China and deeply discusses the mechanism of the interaction between the localization of global floating capital and China's unique regional economic policies. It is found that the local selection of global floating capital has a spatial locking effect on the formation of CHMWR, and the rolling support policies of China's central and local governments promote the rapid expansion and regional spread of the number and scale of wineries, with significant spatial agglomeration and spatial diffusion. The profound mechanism of such changes lies in the dual interaction of the local selection of global liquid capital and the Chinese government's wine-producing policies adapted to the geographical environment. In this process, a series of internal and external factors such as the innovation of grape planting and wine-making technology, consumer market, and government behavior have accelerated the continuous growth of the wine-producing region at the eastern foot of Helan Mountain in Ningxia. This paper adds a new understanding and deep understanding of the interaction between the local implantation of economic globalization and the macro-control policies of the Chinese government.

Embracing Culinary Tourism as a Strategy for Boosting Regional Development: Bangka Belitung Case Studies

Both regional and national growth are aided by culinary tourism. Every region needs to have an appropriate strategy in place to compete with the others in order to maximize development. Creating a supply-demand-driven culinary tourism strategy is the aim of this study. Hybrid technique was employed in this investigation. Participants in this study included chefs, tour operators, owners of agricultural tourism firms, local government representatives in the tourism sector, and operators of restaurants and hotels. SWOT analysis was conducted using the results of visitor surveys, aerial observations, focus group discussion, and secondary data. Suggested course of action: Priority plans are selected by government officials and executives of travel industry associations, and AHP is used to process them. Product, pricing, marketing communication, and collaboration are the recommended areas of concentration. To increase price competitiveness, culinary products from upstream to downstream must work together. Among the goods that must be created are facilities, culinary festivals and events, culinary-related activities, and organizations dedicated to culinary tourism. Collaborative marketing communications are needed to maximize culinary tourism-related media and messaging. There are restrictions on research involving horizontal stakeholders. Future research needs to look at the various ways that stakeholders collaborate.

Linking regional economic impacts of temperature-related disasters to underlying climatic hazards

Abstract Temperature-induced disasters lead to major human and economic damage, but the relationship between their climatic drivers and impacts is difficult to quantify. In part, this is due to a lack of data with suitable resolution, scale and coverage on impacts and disaster occurrence. Here, we address this gap using new datasets on subnational sector-disaggregated economic productivity and geo-coded disaster locations to quantify the role of climatic hazards on economic impacts of temperature-induced disasters at a subnational scale. Using a regression-based approach, we find that the regional economic impacts of heat-related disasters are most strongly linked to the daily maximum temperature (TXx) index. This effect is largest in the agricultural sector (6.37% regional growth rate reduction per standard deviation increase in TXx anomaly), being almost twice as strong as in the manufacturing sector (3.98%), service sector (3.64%), and whole economy (3.64%). We also highlight the role of compound climatic hazards in worsening impacts, showing that in the agriculture sector, compound hot-and-dry conditions amplify the impacts of heat-related disasters on growth rates by a factor of two. In contrast, in the service and manufacturing sectors, stronger impacts are found to be associated with compound hot and wet conditions. These findings present a first step in understanding the relationship between temperature-related hazards and regional economic impacts using a multi-event database, and highlight the need for further research to better understand the complex mechanisms including compound effects underlying these impacts across sectors.

An Analysis of the Spatiotemporal Distribution and Influencing Factors of National Intangible Cultural Heritage along the Grand Canal of China

Intangible cultural heritage (ICH) reflects a region’s history and culture, serving as a significant indicator of regional identity and cohesion. The Grand Canal Basin in China is rich in historical traditions, containing a rich array of ICH resources. Analyzing the spatiotemporal distribution characteristics and influencing factors of ICH within the Grand Canal Basin of China can provide a scientific basis for developing cultural industries and promoting sustainable regional economic growth. This study employed GIS-based spatial analysis methods, including kernel density estimation, the mean nearest neighbor index, and standard deviation ellipse, to investigate the spatiotemporal distribution of 504 national-level ICH items (including extensions) in the Grand Canal Basin of China. The results demonstrate the significant spatial clustering of ICH, with concentrations in high-density regions, particularly at the northern and southern ends of the canal. There is significant regional disparity in the distribution of ICH, with an uneven quantity and structure, predominantly featuring traditional skills and traditional drama categories. The average centroid shift of ICH exhibits a north-to-south oscillatory trajectory. However, overall, it demonstrates a southward-moving trend. This study also underscores the impacts of urbanization, population density, economic development, and transportation infrastructure on ICH distribution. Among these factors, urbanization exerts the strongest influence on the spatial distribution of ICH. The impact of the natural environment is relatively minor; however, it remains a significant element that cannot be overlooked during development. This research offers valuable data and insights for local governments and institutions to formulate evidence-based strategies for the protection and sustainable utilization of ICH resources, promoting sustainable cultural and economic development in the Grand Canal Basin.

Socio-Economic Impacts of Fruit Crop Production in the Mungo Corridor, Littoral Region, Cameroon

Purpose: Agriculture, particularly fruit crop production, serves as a vital driver of economic growth worldwide. In Cameroon, the Mungo Corridor plays a substantial role in the agricultural sector, particularly in fruit crop production. This study aims to assess the socio-economic impacts of fruit crop production within the Mungo Corridor, a region known for cultivating bananas, pineapples, and mangoes. By evaluating the economic contributions and challenges, the study seeks to provide insights for policies that could enhance the sustainability and development of fruit production in the area. The study adopted a multi-stage sampling technique to select respondents and resource persons. Materials and Methods: Data collection involved the use of structured and pre-tested questionnaires along with an interview guide. Quantitative data was analyzed using the Statistical Package for Social Sciences (SPSS) version 16.0 and Microsoft Excel, while qualitative data from interviews was subjected to thematic analysis. Six subdivisions from the Mungo Division were purposely chosen to represent the agricultural activities within the region. Findings: The study confirms that fruit crop production has significant socio-economic benefits in the Mungo Corridor. Over a 10-year period, banana production reached 195,000 tons, while pineapple production rose from 6,543 tons in 2012 to 28,141 tons in 2022. Papaya production increased from 36 tons to 86 tons during the same period. The income from fruit sales enabled stakeholders to develop socio-economic activities, fostering regional development. Fruit crop production contributed to the construction of 12 schools (primary and secondary), 21 health centers, the rehabilitation of 8 fruit markets, 3 bus stations, and growth in the informal sector. However, the study also identified several challenges with Farmers face limited access to markets. Poor infrastructure affects production and distribution. The looming threat of climate change presents long-term risks to fruit farming. Implications to Theory, Practice and Policy: To address the challenges and ensure sustainable fruit crop production in the Mungo Corridor, the study recommends the implementation of policies that promote local products and support farmers through market access initiatives. Invest in transport, storage, and market infrastructure to improve efficiency. Develop interventions to mitigate the impact of climate change on fruit production and strengthen cooperation among farmers, government, and private actors to maximize the benefits of fruit crop production and foster sustainable development. By highlighting the essential role of fruit farming in the socio-economic development of the Mungo Corridor, the study emphasizes the need for renewed efforts to support the sector and enhance its contributions to regional growth.

Maize Phenotypic Parameters Based on the Constrained Region Point Cloud Phenotyping Algorithm as a Developed Method

As one of the world’s most crucial food crops, maize plays a pivotal role in ensuring food security and driving economic growth. The diversification of maize variety breeding is significantly enhancing the cumulative benefits in these areas. Precise measurement of phenotypic data is pivotal for the selection and breeding of maize varieties in cultivation and production. However, in outdoor environments, conventional phenotyping methods, including point cloud processing techniques based on region growing algorithms and clustering segmentation, encounter significant challenges due to the low density and frequent loss of point cloud data. These issues substantially compromise measurement accuracy and computational efficiency. Consequently, this paper introduces a Constrained Region Point Cloud Phenotyping (CRPCP) algorithm that proficiently detects the phenotypic traits of multiple maize plants in sparse outdoor point cloud data. The CRPCP algorithm consists primarily of three core components: (1) a constrained region growth algorithm for effective segmentation of maize stem point clouds in complex backgrounds; (2) a radial basis interpolation technique to bridge gaps in point cloud data caused by environmental factors; and (3) a multi-level parallel decomposition strategy leveraging scene blocking and plant instances to enable high-throughput real-time computation. The results demonstrate that the CRPCP algorithm achieves a segmentation accuracy of 96.2%. When assessing maize plant height, the algorithm demonstrated a strong correlation with manual measurements, evidenced by a coefficient of determination R2 of 0.9534, a root mean square error (RMSE) of 0.4835 cm, and a mean absolute error (MAE) of 0.383 cm. In evaluating the diameter at breast height (DBH) of the plants, the algorithm yielded an R2 of 0.9407, an RMSE of 0.0368 cm, and an MAE of 0.031 cm. Compared to the PointNet point cloud segmentation method, the CRPCP algorithm reduced segmentation time by more than 44.7%. The CRPCP algorithm proposed in this paper enables efficient segmentation and precise phenotypic measurement of low-density maize multi-plant point cloud data in outdoor environments. This algorithm offers an automated, high-precision, and highly efficient solution for large-scale field phenotypic analysis, with broad applicability in precision breeding, agronomic management, and yield prediction.

Study on the Coupling Coordination Degree and Driving Mechanism of “Production-Living-Ecological” Space in Ecologically Fragile Areas: A Case Study of the Turpan–Hami Basin

One of the key conditions for achieving superior regional growth is ensuring the harmonious development of both the layout and functions of territorial space. Territorial space, which includes production space, living space, and ecological space, serves as a critical system and venue for economic, cultural, and social activities in a region. The harmonized growth of production–living–ecological space (PLES) is essential for attaining sustainable development goals. Research on PLES offers a fresh perspective on promoting sustainable development of the spatial domain and the sustainable use of resources. However, studies on PLE functions in ecologically fragile areas are lacking. Therefore, in this study, which adopts a PLES perspective, land-use data are used to classify land according to the dominant functions of production, ecology, and living. Integration of point-of-interest (POI) data with socio-economic data was established to spatially describe indicators at the grid level and create a scoring system for PLES indicators in ecologically fragile areas. Finally, the entropy weight method, holistic assessment methods, coupling coordination degree model (CCDM), and geodetector were employed to explore the coupling coordination relationships and factors influencing PLESs in the Turpan–Hami Basin from 2010 to 2020. The results indicate that the Turpan–Hami Basin consists predominantly of potential ecological space, mainly in the central and northern regions, which are characterized by the Gobi Desert and bare rock landforms. Over the past decade, the PLES framework has seen a notable rise in the allocation of residential and ecological areas, whereas the portion dedicated to production spaces has diminished. The overall coupling coordination degree (CCD) of PLES in the Turpan–Hami Basin is at a coordinated level and gradually increasing. The most significant impact on the degree of PLES coupling coordination is exerted by population and natural factors. The research findings provide theoretical support for the sustainable utilization of resources in the Turpan–Hami Basin and other ecologically fragile areas while also offering scientific evidence to promote the coupling coordination of PLES, thereby contributing to high-quality regional development.

Monitoring weekly δ 13С variations along the cambium-xylem continuum in the Canadian eastern boreal forest.

Intra-annual variations of carbon stable isotope ratios (δ13C) in different tree compartments could represent valuable indicators of plant carbon source-sink dynamics, at weekly time scale. Despite this significance, the absence of a methodological framework for tracking δ13C values in tree rings persists due to the complexity of tree ring development. To fulfill this knowledge gap, we developed a method to monitor weekly variability of δ13C in the cambium-xylem continuum of black spruce species [Picea mariana (Mill.) BSP.] during the growing season. We collected and isolated the weekly incremental growth of the cambial region and the developing tree ring from five mature spruce trees over three consecutive growing seasons (2019-2021) in Simoncouche and two growing seasons (2020-2021) in Bernatchez, both located in the boreal forest of Quebec, Canada. Our method allowed for the creation of intra-annual δ13C series for both the growing cambium (δ13Ccam) and developing xylem cellulose (δ13Cxc) in these two sites. Strong positive correlations were observed between δ13Ccam and δ13Cxc series in almost all study years. These findings suggest that a constant supply of fresh assimilates to the cambium-xylem continuum may be the dominant process feeding secondary growth in the two study sites. On the other hand, rates of carbon isotopic fractionation appeared to be poorly affected by climate variability, at an inter- weekly time scale. Hence, increasing δ13Ccam and δ13Cxc trends highlighted here possibly indicate shifts in carbon allocation strategies, likely fostering frost resistance and reducing water uptake in the late growth season. Additionally, these trends may be related to the black spruce trees' responses to the seasonal decrease in photosynthetically active radiation. Our findings provide new insights into the seasonal carbon dynamics and growth constraints of black spruce in boreal forest ecosystems, offering a novel methodological approach for studying carbon allocation at fine temporal scales.

INNOVATIVE STRATEGIES OF THE EUROPEAN UNION FOR THE ECONOMIC RECOVERY OF POST-CONFLICT REGIONS: PROSPECTS OF IMPLEMENTATION IN UKRAINE

The purpose of this article is to research innovative strategies of the European Union, which are aimed at the economic recovery of post-conflict regions, as well as to determine the possibilities of their adaptation for use in Ukraine. The relevance of the study is due to the fact that after the full-scale invasion of Russia on the territory of Ukraine, Donetsk, Luhansk, Kherson, Zaporizhzhya, etc. oblasts were under the terror of the occupiers, which negatively affected their residents, infrastructure and development of these territories. Their restoration requires the use of new approaches, including the introduction of innovative technologies and tools. The European Union has a lot of experience in this area, and its strategies can be useful for Ukraine in terms of accelerating the reconstruction process and creating favorable conditions for economic growth. The methods of system analysis, comparative analysis and the case study method were used to achieve the research goal. The systematic analysis made it possible to study a set of economic, social and political factors that influence the recovery of post-conflict regions, and the comparative method helped to determine the most effective European strategies that can be adapted to Ukrainian realities. The case study method made it possible to analyze in depth successful examples of the application of innovative strategies in EU countries, such as Croatia, Bosnia and Herzegovina, which is of great importance for the development of recommendations for the implementation of similar approaches in Ukraine. The results of the study show that innovative strategies play an important role in the reconstruction of post-conflict regions. The European Union has developed a number of tools for the reconstruction of destroyed territories, among which investments in digital transformation, development of small and medium-sized businesses, infrastructure restoration and introduction of "green" technologies occupy an important place. In particular, the European Structural and Investment Funds provide financial support to rebuild infrastructure and stimulate economic growth in conflict-affected regions. The «Horizon Europe» program also contributes to the financing of scientific research and the development of technological innovations, which can be extremely useful for the recovery of Ukraine. The practical value of the article lies in the development of a recommendation on the adaptation of innovative EU strategies for the reconstruction of the de-occupied territories of Ukraine. The implementation of these strategies can not only contribute to economic growth, but also help create new jobs, restore infrastructure and increase the investment attractiveness of regions. In addition, the introduction of "green" technologies and digital transformation can contribute to the sustainable development and integration of Ukrainian territories into the European economic system. An important aspect is also the development of human capital through educational programs and vocational retraining, which will ensure long-term growth and social stability in regions devastated by military actions.

Research on the Coupled and Coordinated Development of Tourism Informatization and Regional Tourism Economy in Jilin Province

This study is focused on developing an integrated coordination model designed to conduct an empirical assessment of the evaluation metrics and their respective weights concerning the tourism sector and regional economic growth in Jilin Province. By analyzing the level of coupling and coordination between these two domains, the findings indicate that, although the coordination level currently falls within the expected range, it remains suboptimal. This is primarily due to the relatively modest comprehensive evaluation scores of both the tourism informatization framework and the regional tourism economic system. To improve the level of coordination, this paper suggests several strategic measures. These include enhancing investments in information technology infrastructure and fostering the development of specialized talent. Such measures aim to effectively advance the synchronized development of the tourism sector and regional economic progress in Jilin Province.

The Policy Potential of Monitoring Market Proximal Maritime Connectivity Over Time: The Case of Aotearoa New Zealand

AbstractA country’s maritime connectivity is integral to its international trade and regional economic growth. Advancements in technology and complex network theory have elevated maritime connectivity in regional transport policy agendas. This study introduces a novel conceptualisation of the maritime network called the market proximal network which better highlights connectivity concerns and opportunities that leverage a country’s current market position. By implementing a temporal view (using Time-Granularity Graphs) of the market proximal network, connectivity trends can be appreciated. The policy value of this approach is illustrated by the case of Aotearoa New Zealand, a maritime connectivity taker, between January 2018 and June 2021. Five maritime connectivity priorities are identified regarding the country’s gateways onto the major maritime highways. The potential policy value of the temporal view of the market proximal network is illustrated by identifying priorities that are actionable because they are based on the existing business cases that draw shipping companies to call in Aotearoa New Zealand.

The Impact of Toll Road Development on Urbanization Typology and Economic Structure (Case Study: Palikanci Toll Road in Ciledug District, Cirebon Regency)

This study examines the impact of toll roads on regional growth, specifically focusing on the Ciledug District, which has been crossed by the Palikanci Toll Road since 2009. The research identifies the typology of urbanization and assesses changes in the area’s economic structure due to the toll road. A mixed method approach was used, combining qualitative and quantitative data collection, land change analysis via Google Earth and ArcGis 13.1, and field observations of land use. The findings reveal gentrification in the northern part of Ciledug, marked by the growth of business centers in Jatiseeng and rising land prices. This has led to the expansion of settlements toward the southern area, particularly in Jatiseeng Kidul. The toll road and the industrial estate in North Ciledug have accelerated the transformation of the local economy, with residents diversifying their livelihoods to adapt to urbanization. However, the study also notes a lack of improvement in essential infrastructure services, suggesting that regional development policies have not yet adapted to the gentrification, posing risks of urban sprawl.

An Exploration of Entrepreneurs’ Socio-economic Situation and Its Impact on Micro and Small Businesses in South Andaman

This study aims to investigate the socio-economic conditions of entrepreneurs that influence the growth of micro and small enterprises (MSEs) in the South Andaman District. In this study, a scheduled questionnaire-based survey research design was used, and a sample of 344 small business owners was collected for analysis. The data were processed using SPSS, and chi-squared test was applied for statistical analysis. The study’s findings revealed that factors such as entrepreneurs’ business experience, income levels, the number of working employees and ownership of house property significantly impact the growth of enterprises in the island region. However, factors like business location and sector of enterprises were found to be statistically insignificant in determining MSEs’ growth in the island region. The study suggests that policymakers and local administrations should enhance support for micro, small and medium-sized enterprises in island regions by implementing policies such as island capital investment subsidies and island transport subsidies for MSEs. As a result, small businesses play a pivotal role by contributing to local employment, production and investment opportunities in the island region.