Application of Data Mining Technology in Regional Economic Analysis

Chapter 1: Governance and Planning of Mega-City Regions: Diverse Processes and Reconstituted State Spaces Jiang Xu and Anthony G.O. Yeh Part I: Multi-Level Governance and Planning in Europe Chapter 2: The Polycentric Metropolis: a Western European Perspective on Mega-City Regions Sir Peter Hall Chapter 3: Innovations in Governance and Planning: Randstad Cooperation Willem Salet Chapter 4: Strategic Planning and Regional Governance in Europe: Recent Trends and Policy Responses Louis Albrechts Part II: Multi-Polity Governance and Planning in Federacy Chapter 5: Novel Spatial Formats: Megaregions and Global Cities Saskia Sassen Chapter 6: America 2050: Towards a Twenty-first Century National Infrastructure Investment Plan for the United States Robert D. Yaro Chapter 7: Mega-City Regional Cooperation in the United States and Western Europe: A Comparative Perspective Linda McCarthy Chapter 8: Regions of Cities: Metropolitan Governance and Planning in Australia John Abbott Chapter 9: The Upper Spencer Gulf Common Purpose Group: A Model of Intra - Regional Cooperation for Economic Development Jim Harvey and Brian Cheers Part III: State-Led Governance and Planning under Transition Chapter 10: Coordinating the Fragmented Mega-City Regions in China: State Reconstruction and Regional Strategic Planning Jiang Xu and Anthony G.O. Yeh Chapter 11: Spatial Planning for Urban Agglomeration in the Yangtze River Delta Chaolin Gu, Taofang Yu, Xiaoming Zhang, Chun Wang, Min Zhang, Cheng Zhang and Lu Chen John Abbott is a practicing metropolitan planner in South East Queensland, Australia. He was previously the Project Coordinator of the SEQ 2001 and SEQ 2021 regional planning projects. He teaches planning theory and metropolitan planning at the University of Queensland. He has analyzed metropolitan planning processes in South East Queensland, Greater Vancouver, and New York using concepts of planning as managing uncertainty. Louis Albrechts is Professor of Department of Architecture, Urbanism and Planning at the Catholic University of Leuven, Belgium. His research interests include strategic spatial planning, sustainable development, and regional design, and he has published widely on these issues. He is the founder and co-editor of European Planning Studies, a corresponding member of the German Academy for Research and Planning, and a member of the Advisory Board of the global Research Network on Human Settlements. Brain Cheers is Research Professor Emeritus of Community Development and former Director of the Center for Rural and Regional Development at the Whyalla Campus of the University of South Australia. He is also Founding Director of the Northern Australia Research Institute and the Center for Social and Welfare Research at James Cook University. He has published four books, and many monographs and papers on rural and regional issues. Lu Chen is PhD candidate in Economic Geography at the University of Wisconsin-Milwaukee. Chaolin Gu is Professor, School of Architecture, Tsinghua University. He has published sixteen books and over 260 articles on urban and regional planning, regional economics, and urban geography in China. He is the principal investigator of a number of projects on China's urban and regional development and planning. He is Vice President of the Chinese Geographical Association, and serves on editorial boards of many journals and academic councils. Sir Peter Hall is Bartlett Professor of Planning and Regeneration at the Bartlett School of Architecture and Planning, University College London. He has received the Founder's Medal of the Royal Geographical Society for distinction in research, and is an honorary member of the Royal Town Planning Institute, which awarded him its Gold Medal in 2003. He holds fourteen honorary doctorates from universities in the UK, Sweden, and Canada. He received the 2005 Balzan Prize for work on the Social and Cultural History of Cities since the Beginning of the 16th Century. He is a Fellow of the British Academy and the European Academy and President of the Town and Country Planning Association. He was knighted in 1998 and in 2003 was named by Her Majesty Queen Elizabeth II as a Pioneer in the Life of the Nation at a reception in Buckingham Palace. Jim Harvey is Adjunct Professor of the Center for Rural Health and Community Development at the University of South Australia. His most recent publications have been on intra-regional cooperation in urban and regional development. He is currently the Australian Manager of an Australian Aid (AusAid) community development project in the Eastern Highlands Province of Papua and New Guinea. Linda McCarthy is Associate Professor of Geography at the University of Wisconsin-Milwaukee, and is also a certified planner. Her research focuses on urban and regional economic development and planning in the United States, Western Europe, and China. Her publications comprise books, book chapters, reports, and articles in peer reviewed journals such as Environment and Planning A, The Professional Geographer, Tijdschrift voor Economische en Sociale Geografie, Journal of Planning Education and Research, and Land Use Policy. Willem Salet is Professor of Urban and Regional Planning at the Faculty of Social and Behavioral Sciences at the University of Amsterdam. He is also the President of the Association of European Schools of Planning. His research specializes in spatial planning and metropolitan governance, urban networks, and decision making in strategic urban projects. He coordinated various research projects on behalf of the European Union, national ministries, the National Scientific Foundation, and other stakeholders in the field of urban studies, and has published widely on regional planning and governance. Saskia Sassen is Robert S.Lynd Professor of Sociology of Department of Sociology and Member of the Committee on Global Thought, at Columbia University. Her most recent books are Territory, Authority, Rights: From Medieval to Global Assemblages (Princeton University Press 2006) and A Sociology of Globalization (W.W.Norton 2007). Her books have been translated into sixteen languages. Her comments have appeared in Guardian, New York Times, International Herald Tribune, Newsweek International, and Financial Times, among others. She serves on several editorial boards and is an advisor to several international bodies. She is a member of the Council on Foreign Relations, a member of the National Academy of Sciences Panel on Cities, and chaired the Information Technology and International Cooperation Committee of the Social Science Research Council (USA). Chun Wang is an urban planner in the Master Planning Department at Beijing Tsinghua Urban Planning and Design Institute. Jiang Xu is Assistant Professor in the Department of Geography and Resource Management, the Chinese University of Hong Kong. She is a specialist in urban and regional issues, and is currently leading research projects in intercity competition and cooperation, as well as urban and regional governance in China. Dr. Xu has published widely on urban and regional development in leading international journals and is co-author with F. Wu and Anthony G.O. Yeh of Urban Development in Post Reform China: State, Market and Space (Routledge 2007). She was the recipient of the 2008 Research Output Prize of the University of Hong Kong. Robert Yaro is President of Regional Plan Association, America's oldest independent metropolitan policy, research, and advocacy group. He is also Professor of Practice in City and Regional Planning at the University of Pennsylvania. He has taught at Harvard University and the University of Massachusetts. He co-chairs the Empire State Transportation Alliance and the Friends of Moynihan Station, and is Vice President of the Forum for Urban Design. He serves on Mayor Bloomberg's Sustainability Advisory Board, which helped prepare PlaNYC 2030, New York City's new long-range sustainability plan. Anthony Yeh is Academician of the Chinese Academy of Sciences. He is also Chair Professor and Head, Department of Urban Planning and Design, and Director, Center of Urban Studies and Urban Planning, University of Hong Kong. His main areas of specialization are in urban development and planning in Hong Kong and China, and the application ofaGIS in urban and regional planning. At present, he is Secretary-General of the Asian Planning Schools Association and Asia GIS Association. He is on the editorial boards of key international and Chinese journals, and has published over thirty books and monographs, and over 180 academic journal papers and book chapters. He received the 2008 UN-HABITAT Lecture Award for his outstanding and sustained contribution to research, thinking, and practice in the human settlements field. Taofang Yu is Lecturer, School of Architecture, Tsinghua University. He has published four books and about fifty articles on urban competition and the mega city-region. Cheng Zhang, is a certified urban planner, and is performing civil service at the Nanjing Urban Planning Bureau. He has published five articles on the mega city-region and the mega-project. Min Zhang is Associate Professor, Department of Urban and Regional Planning, Nanjing University. She has published about 30 articles on urbanization, the megalopolis, and the global city-region. Xiaoming Zhang is PhD candidate, School of Architecture, Tsinghua University. He has published about six articles on the mega city-region and spatial regionalization.

Sports infrastructure development signals a major economic development in regional and local areas. It has considered one of the main policies related to promoting public health, by various studies. However, economic factors also come into play in the design and location of sports facilities. Our research aims to examine whether the economic development in the regions in Spain helps promote sports infrastructure development, using a synthetic indicator. We also examine the potential relationships in the main economic indicators that determine the wealth and economic development of the regions. There is a significant relationship between the degree of economic development in each Spanish region and the level of sports infrastructure resources. Insufficient investment in sports infrastructure, leads to fewer opportunities for Physical Activity by the population. These results should serve to redirect building planning and sports management policies onto the right path, and also give food for thought.

Given the trend of increasing imbalance in the economic development of administrative-territorial units and ensuring their innovative development, the issue of upgrading the effectiveness of the anti-crisis regional policy is becoming urgent. The research aim is to develop an econometric model for assessing the impact of asymmetries in the development of urban economies on the regional socio-economic development based on the case of Kazakhstan. The article establishes a sample of indicators of socio-economic development of cities and regions in Kazakhstan in 2014-2018. The governance indicators of the influence of the asymmetry in urban development on the regional socio-economic development in Kazakhstan have been determined based on the Granger causality test, the creation of a cognitive map and the identification of hierarchy levels. The asymmetry in regional development has been estimated applying the coefficient of variation of the relevant indicators of socio-economic development of cities and regions, taking into account the lagged variables. The developed model allows determining the convergence model of regional development, the nature of the influence of asymmetries in the development of cities on the regional economic development in the context of economic growth and recession, as well as identifying the key factors in the asymmetry of regional development. The results are based on reliable data; they are of practical importance and can serve as the basis for the elaboration of effective preventive measures for anti-crisis regional development policy, not only to neutralize asymmetries, but also to achieve economic growth under the conditions of unbalanced regional development.

The current state of the economy with the deterioration of economic results of transformational changes is characterized by the lack of a system of management of the dynamics of growth of economic indicators due to the transition to innovative sources of economic development, which activates the issue of providing such changes in controlled character. The economic development of the region concerns not only financial revenues to local budgets, but also an increase in the overall welfare of the population, through prism of priority directions of development. The path to improving the life and economic development of the Vinnytsia region is possible taking into account transformational processes, but achieving this involves solving the complex of goals and tasks facing management bodies. The current state, trends and problems of reproduction of the economic potential of sustainable development of Ukraine and its regions are investigated. An analysis of the ineffectiveness of enterprises of certain types of activities of the region's economy is carried out. The formation of the system of indicators of the development of regional socio-economic systems is proposed and a systematic and integrated assessment of the economic potential of the development of the Vinnytsia region is carried out. Considerable attention is brought to assess the economic potential of the region, prospects for modernization of social infrastructure and the formation of sustainable economic growth in the region. The basic and strategic directions of rationalization of resource use spheres are formulated on the basis of assessment of minerals, improving the management of the agricultural complex of the region as the main determinants of the effective use of territorial development of regional complexes. The SWOT-analysis of the Vinnytsia region has been conducted, the strengths and weaknesses of development and economic output of the region on cross-border markets and the world arena are characterized. The possibilities of the region are outlined, which will contribute to further competitiveness of the region at the level of other economic regions of Ukraine. Provided threats of development that arise under the influence of external forces that interfere with rapid and sustainable growth.

The development level of higher education in a region is closely related to the economic development of the region. On the one hand, the development of higher education serves the economy. The setting of disciplines and majors in higher education determines the structure of talent training. Different majors cultivate talents in different aspects, affecting regional economic development's speed and quality. On the other hand, economy is the foundation of education development, and the level of economic development restricts the scale, speed, content and structure of higher education development. How to improve the level of higher education to serve the regional economy's development better has become a topic worth paying attention to. Based on the theoretical relationship between higher education and regional economic development, this paper studies higher education from the perspective of talent needs of regional economic development based on the relevant data of Tianjin from 2010 to 2019, draws relevant conclusions by comparing with the data of Beijing and Shanghai, and puts forward suggestions for the future development of higher education in Tianjin.

The sustainable development of the water–energy–food (WEF) system has gained global attention as a result of limited land resources, inadequate energy supply and growing water stress. Coordination degree is an important indicator to measure the sustainable development of the WEF system. Improving the coordination degree contributes to the sustainable development of the WEF system and affects regional economic development. The extended Cobb–Douglas function is applied to examine the relationship between coordination degree of the WEF system and regional economic development in 31 provinces of China during the period of 2007–2018. By using the system generalized method of moments (GMM) estimation, empirical results indicate that in the regions with low coordination degree, improved coordination degree of the WEF system will hinder regional economic growth. In the regions with high coordination degree, it will promote regional economic growth. The results indicate that there is a lag period for the influence of improved coordination degree on regional economic growth. When making resources management policies, shortening the lag period is conducive to achieving sustainable development and promoting regional economic development. Governments of various regions should formulate different resource management policies based on the conditions of each region and the different relationships between coordination degree of the WEF system and regional economic development.

This paper expounds the fundamental theory of data mining and customer segmentation, and studies on the specific implementation of data mining processes and technology. We put forward the customer segmentation application model based on data mining technology, which is applied in the retailing industry to carry out a empirical study.

This study investigates the law, distribution characteristics, and changing trend of the coordinated development of China’s aging industry and regional economy, as well as the factors which influence the degree of coordination between the aging industry and economic development on the provincial level. In doing so, we construct a comprehensive evaluation index system of the aging industry and regional economy development, introduce an entropy weight coupling model, and measure the coupling and coordinated development level of the two systems using data of 31 selected Chinese provinces (municipalities) from 2009 to 2019. The spatial Dubin model is then used to empirically analyze the influencing factors and spatial effect decomposition of the coordinated development of the aging industry and regional economy. We reach the following main results: (1) China’s aging industry is developing unevenly, with substantial regional differences, but these differences have narrowed in recent years. (2) China’s regional economic disparities have widened. The eastern regions have the highest level of development, while the northeast region’s growth rate of GDP has declined since 2014. (3) The coordinated development of the aging industry and regional economy in one region of China has a positive impact on its neighboring regions, and all Chinese regions exhibits high–high, low–low agglomeration characteristics in terms of their degree of coordination. (4) A variety of socioeconomic and demographic factors affect the coordinated development of the aging industry and regional economy. An important implication of these findings is that, China should improve population structure, population quality, and economic development quality in order to achieve a high-level coordinated development of the aging industry and regional economy.

Recent developments in computing, communications, digital storage technologies, and high-throughput data-acquisition technologies, make it possible to gather and store incredible volumes of data. It creates unprecedented opportunities for knowledge discovery large-scale database. Data mining technology is a useful tool for this task. It is an emerging area of computational intelligence that offers new theories, techniques, and tools for processing large volumes of data, such as data analysis, decision making, etc. There are countless researchers working on designing efficient data mining techniques, methods, and algorithms. Unfortunately,most data mining researchers pay much attention to technique problems for developing data mining models and methods, while little to basic issues of data mining. What is data mining? What is the product of a data mining process? What are we doing in a data mining process? What is the rule we would obey in a data mining process? What is the relationship between the prior knowledge of domain experts and the knowledgemind from data? In this paper, we will address these basic issues of data mining from the viewpoint of informatics [1]. Data is taken as a manmade format for encoding knowledge about the natural world. We take data mining as a process of knowledge transformation. A domain-oriented data-driven data mining (3DM) model based on a conceptual data mining model is proposed. Some data-driven data mining algorithms are also proposed to show the validity of this model, e.g., the data-driven default rule generation algorithm, data-driven decision tree pre-pruning algorithm and data-driven knowledge acquisition from concept lattice.

Recent advances in computing, communications, digital storage technologies, and high-throughput data-acquisition technologies, make it possible to gather and store incredible volumes of data. It creates unprecedented opportunities for large-scale knowledge discovery from huge database. Data mining (DM) technology has emerged as a means of performing this discovery. There are countless researchers working on designing efficient data mining techniques, methods, and algorithms. Many data mining methods and algorithms have been developed and applied in a lot of application fields [1]. Unfortunately, most data mining researchers pay much attention to technique problems for developing data mining models and methods, while little to basic issues of data mining [2]. In this talk, some basic issues of data mining are addressed. What is data mining? What is the product of a data mining process? What are we doing in a data mining process? What is the rule we should obey in a data mining process? Through analyzing existing data mining methods, and domain-driven (or user-driven) data mining models [3-5], we find that we should take a data mining process as a process of knowledge transformation. Based on this understanding of data mining, a conceptual data mining model of domain-oriented data-driven data mining (3DM) is proposed [2]. The relationship between traditional domain-driven (or user-driven) data mining models and our proposed 3DM model is also analyzed. Some domain-oriented data-driven data mining algorithms for mining such knowledge as default rule [6], decision tree [7], and concept lattice [8] from database are proposed. The experiment results for these algorithms are also shown to illustrate the efficiency and performance of the knowledge acquired by our 3DM data mining algorithms.

Along with the social division of labor refinement, under the process of global economic development, because of the advanced management thought and form of organization, logistics was applied in regional economic development, including the effect of stress on the development of regional economic integration, widespread concern from all walks of life, important research direction of regional economy gradually into the relationship between logistics and regional economic growth. In this paper, according to the regional logistics in our country economic development theory and the international logistics under the support of economic theory, with real GDP index to measure the Yangtze river between silk road economic belt and the surrounding areas in major provinces and cities logistics technical index of economic development, regional economic development and logistics technology level of two indicators to measure the qualitative relationship analysis, USES the international cargo logistics turnover function to measure, mainly using logistic function using the quantitative analysis model of measure of the relationship between the two.

China has prioritized high-quality development as a key goal in building a socialist modernized country. Currently, regional economic development faces challenges such as blocked factor flows, regional disparities, and environmental degradation, highlighting the need for coordinated economic and environmental progress. This paper explores how digital inclusive finance impacts regional economic development and environmental quality. Using panel data from 31 provinces (20122022) and a bidirectional fixed-effect regression model, the study finds that digital inclusive finance drives economic growth through technological innovation and enhances environmental quality via industrial upgrading. This research offers empirical evidence on the role of digital finance in regional development and provides policy insights for promoting green transformation and sustainable growth.

The purpose is to enhance the timeliness of news, provide real-time news for the audience, and attract more traffic for the news media, thereby helping news media grow financially and strengthening the network security communication efficiency and accuracy. First, an intelligent real-time image acquisition system is introduced, and its principle and advantages are analyzed. Second, an intelligent real-time image acquisition model based on DL (Deep Learning) algorithm is established by combining DM (Data Mining) technology. Finally, the application of an intelligent image acquisition system in network communication is adjusted. The research results show that the combination of DL intelligent real-time image acquisition system with DM technology can effectively deal with various network communication scenarios, enhancing the accuracy and timeliness of network communication. The AlexNet model performs excellently in all aspects, with or without data enhancement or equalization. The recognition rate reaches 99.6% after data equalization and enhancement, and the AlexNet model can accurately classify news and non-news sceneries. This shows that the application of an intelligent real-time image acquisition system based on DM technology can effectively enhance the real-time performance of network communication. The results set an example for the application of relevant intelligent image acquisition technology in the journalism industry.

Regional cooperation plays a pivotal role in driving both regional and global economic growth, and the Belt and Road Initiative (BRI) stands as a significant catalyst for the economic and social development of the countries and regions along its routes. Based on economic and social data spanning from 2011 to 2019 across 40 countries, this research employs the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) evaluation method to construct a Regional Economic and Social Development Index. Subsequently, employing a multi-period difference-in-differences model, the study meticulously examines the positive impact of the BRI on the development trajectory of relevant countries. Heterogeneity analysis reveals that the influence of the BRI is notably pronounced in developing nations, China's neighboring countries, and those along the Maritime Silk Road. Our research contributes significantly to elucidating the effects of regional cooperation on regional economic development, thus reinforcing the trajectory of economic globalization. Furthermore, we offer insightful policy recommendations for the future evolution of the Belt and Road Initiative.

It is important to analyze the manifestations of the crisis at the regional level, which allows both regional (local) and national authorities to develop effective support tools. From this point of view, it is important to clearly understand which aspects of economic development the crisis has a key impact on, and whether such impact is uniform across different sectors and areas of economic development. Much attention is paid to the problem of assessing the state of the business environment. However, the main disadvantage of most of them is that they are sometimes difficult to conduct in terms of operational analysis and availability of open data. The object of research is the processes of studying the state of the region's economy. The subject of the research is the impact of the COVID-19 pandemic and the current economic crisis on the region's economies. In the process of scientific research, we solved such tasks: identification of key problematic factors in relation to regional economic development, including caused by pandemic and lockdown; reliable, freely available and up-to-date sources of statistical information on regional economic development are identified; a comprehensive method of generalizing the impact of the COVID-19 pandemic and the economic crisis on regional economic development. We proposed to analyze the impact of the COVID-19 pandemic and the current economic crisis on the economic development of the regions of Ukraine on the example of Sumy region. The analysis is based on open data from static authorities, which periodically publish monthly and quarterly information. The study confirmed the serious negative impact of lockdown and pandemic on the economic development of the region in a number of key indicators: the index of industrial production, the volume of industrial products sold, freight turnover and passenger turnover. At the same time, we observe a generally neutral impact of the crisis on such regional indicators of economic development as the volume of commodity export and import transactions and the stability of retail trade.