Patterns Of Regional Development Research Articles

Research on the Development Model of Cross Border Kazakh Ethnic Cultural Tourism

Spatial distribution, cultural system and characteristics, constitution of ethno-cultural tourism resources of global Kazakh ethnics was examined in this study, as well as spatial distribution of transnational ethno-cultural tourism resources, and development state and existing problems of Kazakh ethno-cultural domestic and international tourism. Based on the analysis above, ten development patterns of Kazakh ethno-cultural tourism were raised up, including ethnic village, ethnic cultural museum, primitive ethnical village, conformity of relics, conformity and improvement, renew of old fashion and customs, new rural construction, special town construction, ethnic cultural recreational-business district (RBD) and ethnic cultural thematic parks. Further, reasonable regional functions and spatial development pattern of Kazakh ethnic cultural tourism in Xinjiang were discussed, providing foundations for new theories and studies of the industrial development of ethnic cultural tourism in Xinjiang.

Regional development and carbon emissions in China

China announced at the Paris Climate Change Conference in 2015 that the country would reach peak carbon emissions around 2030. Since then, widespread attention has been devoted to determining when and how this goal will be achieved. This study aims to explore the role of China's changing regional development patterns in the achievement of this goal. This study uses the logarithmic mean Divisia index (LMDI) to estimate seven socioeconomic drivers of the changes in CO2 emissions in China since 2000. The results show that China's carbon emissions have plateaued since 2012 mainly because of energy efficiency gains and structural upgrades (i.e., industrial structure, energy mix and regional structure). Regional structure, measured by provincial economic growth shares, has drastically reduced CO2 emissions since 2012. The effects of these drivers on emissions changes varied across regions due to their different regional development patterns. Industrial structure and energy mix resulted in emissions growth in some regions, but these two drivers led to emissions reduction at the national level. For example, industrial structure reduced China's CO2 emissions by 1.0% from 2013 to 2016; however, it increased CO2 emissions in the Northeast and Northwest regions by 1.7% and 0.9%, respectively. Studying China's plateauing CO2 emissions in the new normal stage at the regional level yields a strong recommendation that China's regions cooperate to improve development patterns.

The Geography of Territorial Capital in the European Union: a Map and Several Policy Issues

This paper investigates the territorial capital endowments across European regions. Data are collected at NUTS 2 level for all European regions, for the most recent year available, for several indicators that measure different components of territorial capital. Our evidence reveals several patterns of regional economic development, with specific configurations of the territorial assets, which further shed light on the connection between location, competitiveness and development.

Specialized governance and regional land-use outcomes: A spatial analysis of Florida community development districts

Specialized governance literature tends to approach special district differences at a surface level, rarely delving into consequential distinctions between districts types or their implications for policy outcomes. This article offers a step towards addressing these limitations by examining the land use impacts of an innovation in local government form referred to as “multipurpose development districts.” The article builds from a theory of local government formation to examine how Florida development districts – formally referred to within the state as community development districts (CDDs) – impact regional development patterns. Combining spatial data on land-cover change and CDD boundaries with nonparametric and Bayesian modeling approaches, the article provides a novel examination of CDDs’ influence on urban sprawl over a 15-year period. The results suggest that private developers’ use of development district formation to finance development infrastructure contributes to development in unincorporated areas. However, because within-district sprawl is disincentivized and overall district siting remains subject to regional planning and zoning restrictions, CDDs cluster this growth in ways which mitigate the negative effects of urban sprawl. The findings hold important implications for understanding regional growth and development processes, as well as the realization of state-level growth management policy goals.

Evaluating the impacts of socio-economic factors on regional grain virtual water flows in China using a structural equation modeling approach

Changes in the patterns of regional economic and social development will affect regional agricultural and industrial structures, thereby affecting grain cultivation patterns. Imbalances between the grain supply and demand will trigger interregional grain flow. Grain is a water-intensive product, and virtual water embedded in grain products flows between regions, which will affect the utilization and distribution of regional water resources. This study evaluated the impacts of socio-economic factors on regional grain virtual water flows by using the partial least squares structural equation model (PLS-SEM). Results show that grain production centers in China are being transferred to the northern regions due to the evolution of economic patterns over the past 30 years. Driven by the imbalance between the regional grain supply and demand, the virtual water flow patterns of grain shows a tendency to flow from the northern and western provinces to the southern and eastern provinces. Results of structural equation modeling show that there is a significant causal structure between socio-economic factors and grain virtual water flows. The study indicates that the regional socio-economic pattern and its evolution will affect the grain virtual flow patterns. Consequently, virtual water flows will exert great pressure on water resources in the virtual water export areas, and the expansion of the virtual water export will increase the difficulty of regional water resources systems in supporting regional social and economic sustainable development and grain production, thus posing a potential challenge to China's water resources and grain security.

Spatial clustering of single-industry towns and a dynamic model of economic growth

This article studies the problems of economic growth and spatial development of regions with a high concentration of single-industry towns. The authors aim to identify the factors of development of single-industry towns at the microeconomic level on the basis of clustering and dynamic modeling of single-industry towns in three regions with the highest concentration — Kemerovo, Sverdlovsk, and Chelyabinsk Regions. This paper performs the clustering of single-industry towns by entropy indicators and the number of newly created enterprises, which allows distinguishing three “central” single-industry towns in each of the respective regions: Novokuznetsk, Nizhniy Tagil, and Magnitogorsk. The clustering of single-industry towns with the use of the population-normalized index of the number of newly created enterprises allows us to refer these cities to two different clusters: Novokuznetsk against Nizhniy Tagil and Magnitogorsk with different parameters dominating. The correlation analysis of aggregate revenue, fixed assets, the share of the single industry, the entropy of revenue, the number of newly created enterprises of three single-industry towns allows suggesting a dynamic regression model. The peculiarity of this model is the inclusion as a variable of the number of the newly created enterprises in Nizhniy Tagil for all the cities under consideration, as well as the inclusion of a dummy variable reflecting the year of introduction of the program for the development of single-industry towns. Using the bootstrap method for Novokuznetsk, the authors have confirmed the significance of the introduction of this variable. The results of the study have revealed both common patterns of regional development — the positive effect of reducing the share of monaurally and monocentric provision of single-industry towns in the regions for economic growth — and their differences — a contradictory effect of diversity in the central towns, as well as the assignment of Novokuznetsk and Nizhniy Tagil with Magnitogorsk from different clusters. In conclusion, the authors justify the early completion of the program of diversification of single-industry towns, designed to be ineffective in 2019.

基于CLUE-S模型的县域生产-生活-生态空间冲突动态模拟及特征分析

PDF HTML阅读 XML下载 导出引用 引用提醒 基于CLUE-S模型的县域生产-生活-生态空间冲突动态模拟及特征分析 DOI: 10.5846/stxb201901070059 作者: 作者单位: 河北农业大学国土资源学院,中国地质大学北京土地科学技术学院,河北农业大学国土资源学院,河北农业大学国土资源学院,河北农业大学国土资源学院 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发计划项目（2016YFC0503700）；河北农业大学引进人才科研专项基金项目（YJ201807） Dynamic simulation and characteristic analysis of county production-living-ecological spatial conflicts based on CLUE-S model Author: Affiliation: College of Land Science and Technology,China University of Geosciences Beijing;College of Land and Resources,Hebei Agricultural University,College of Land Science and Technology,China University of Geosciences Beijing,College of Land and Resources, Hebei Agricultural University,College of Land and Resources, Hebei Agricultural University,College of Land and Resources, Hebei Agricultural University Fund Project: National key research and development program 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:随着经济、社会发展速度不断加快，多功能空间之间的竞争不断增强，国土空间的协调与稳定受到严重影响。因此，模拟生产、生活和生态空间（简称"三生"空间）冲突格局，并分析其演变特征，对于科学利用国土空间，实现区域发展格局优化有着重要意义。以昌黎县为研究区，以2005和2015年土地利用现状数据为基础，采用CLUE-S模型预测研究区2025年土地利用格局；基于土地利用主导功能和次要功能将国土空间划分为生活生产空间、生产生态空间、生态生产空间及生态空间，依据景观生态指数构建空间冲突测度模型，测算昌黎县2005-2025年三期"三生"空间冲突变化趋势。结果表明：①2005-2025年昌黎县以生产生态空间为主。2015年末，生活生产空间、生产生态空间大量占用生态生产空间和生态空间，尤其是河流附近，空间转换更加显著；到2025年，各空间类型转变较少，但生活生产空间转入量仍相对较大。②2005-2025年昌黎县空间冲突水平呈上升趋势，到2025年，空间冲突逐渐以较强空间冲突为主。这主要是由于生产生态空间、生活生产空间不断向外扩张。随着城镇化、产业发展速度的加快，生活生产空间、生产生态空间向外扩张强度逐渐增大，生态生产空间、生态空间将面临威胁。 Abstract:With the acceleration of economic and social development, competition among multi-functional spaces is continuously enhanced, and coordination and stability of territorial space are seriously affected. Therefore, it is of great significance to simulate the spatial conflict pattern of production-living-ecological spaces and analyse its evolutionary characteristics for scientific utilization of territorial space and optimization of regional development patterns. In this paper, Changli County is taken as the research area. Based on the data of land use status for two years (2005, 2015), CLUE-S model is used to predict the land use patterns in the research area in 2025. Based on the leading and secondary functions of land use, the territorial space is divided into living-production space, production-ecological space, ecological-production space, and ecological space. Based on the landscape ecological index, a spatial conflict measurement model is constructed to estimate the changing trend of the production-living-ecological spatial conflict in Changli County from 2005 to 2025. The results show that:(1) From 2005 to 2025, the territorial space of Changli County is dominated by production-ecological space. At the end of 2015, the living-production space and the production-ecological space occupy a large amount of ecological-production space and ecological space, especially near the river. By 2025, there will be fewer changes in each spatial type, but the amount of living-production space will still be relatively large. (2) From 2005 to 2025, the level of spatial conflict in Changli County will be on the rise, and by 2025, spatial conflict will gradually be dominated by strong spatial conflict. This is due to the production-ecological space and the living-production space expanding outward ceaselessly. With the acceleration of urbanization and industrial development, the outward expansion of the living-production space and the production-ecological space will gradually increase, and the ecological-production space and the ecological space will face threats. 参考文献 相似文献 引证文献

Державне управління регіональним розвитком: моделі та особливості запровадження

Розглянуто моделі регіонального розвитку, їх компоненти та модель сталого розвитку у взаємозв’язку та балансі зазначених компонентів. Здійснено етимологію та аналіз соціальної складової регіонального розвитку в країнах ЄС та США. Проаналізовано значення та місце регіональної політики в умовах глобалізації та інтеграції з використанням стратегічного планування та стратегічного управління.

Exploring the factors affecting regional land development patterns at different developmental stages: Evidence from 289 Chinese cities

Numerous studies have explored the drivers and consequences of the expansion of urban areas. However, limited research has been conducted on the land development of cities based on the different developmental stages. Therefore, using land transaction records obtained by Python in the land market of China during the 2011–2015 period, this study explores the factors affecting the land development process in 289 cities at five different stages of economic development. The development stages are identified by combing per capita GDP and the industrial structure in the 289 cities in 2015. The stages of economic development are the primary production stage (PPS), primary industrialization stage (PIS), middle industrialization stage (MIS), later industrialization stage (LIS), and developed stage (DS). The results reveal that with the advance of regional development stage, the scale of land development increases. We also find that, in general, the proportions of residential and public management-service land development projects increases, whereas the proportion of transportation land development projects decreases. The proportions of industrial-mining-warehouse land development projects first increases and then decreases, and there is no significant change in the proportion of land used for commercial land development projects. Regression analyses of panel data indicate that various factors have different effects on land development at five developmental stages, although the positive effects of domestic fixed asset investment on land development are always strongest. The results can contribute to our understanding of land development patterns in different stages of development and local governments in China, and thus to the formulation of reasonable annual land development plans.

The Effects of the Cohesion Policy on the Sustainable Development of the Development Regions in Romania

The objective of this study was to characterize the development regions in Romania and to measure spatial imbalances, starting from the national and the European Union aspiration to promote more economic and social policies adapted to the different regional particularities. For this purpose, we conducted a multifactorial analysis of the sustainability of the development regions in Romania at NUTS II level by constructing a synthetic index of socio-economic development for the regions that appreciate sustainability and have accepted structural and cohesion funds. The multi-criteria synthetic index was obtained by aggregating several sub-indices (economy, health, education, public utilities, and living standards). We used cluster analysis to identify patterns of regional development in Romania over time. For 1998 and 2006, the same cluster structure was obtained. However, due to economic and social changes that occurred after 2006 (negative impact of the global financial crisis as well as the positive impact of EU funds), in 2016, we recorded another structure of clusters, except in the Bucharest-Ilfov region which continues to present a number of unique features. In addition, we show that the polarized regional development model is increasingly strengthening and the network of urban agglomerations needs to be territorially balanced to boost their ability to “export” wealth.

Dynamic features of China's photovoltaic listed companies in different periods: Based on partial Granger causality network

As an important kind of renewable energy, China's photovoltaic (PV) industry has experienced many challenges in different historical stages. Many PV enterprises emerge in the stock market, correlate with each other, and form China's PV stock market network. However, the mutual influence between any two companies in the stock market is impacted by other enterprises and some external factors, which is not considered in the previous studies. In order to study the direct interdependence among China's PV stock markets, we propose the partial Granger causality network (PGCN) model. It is a first practice in the model to apply partial Granger causality to quantify the direct interactions between stock returns. The daily closing prices of 79 China's PV enterprises are selected, and the whole research period 2007.10.2–2016.10.3 is divided into four sub-periods according to three important time nodes. The PGCN in the overall period and four sub-networks are also constructed. Combined with the dynamic behaviors of networks' topological properties, the distribution of enterprise's influence, the conductive force of enterprises, and the stability of the stock market are analyzed. Meanwhile, the regional agglomeration development pattern is revealed, and top 10 influential enterprises are identified.

Water Use Efficiency and Its Influencing Factors in China: Based on the Data Envelopment Analysis (DEA)—Tobit Model

Water resources are important and irreplaceable natural and economic resources. Achieving a balance between economic prosperity and protection of water resource environments is a major issue in China. This article develops a data envelopment analysis (DEA) approach with undesirable outputs by using Seiford’s linear converting method to estimate water use efficiencies for 30 provinces in China, from 2008–2016,and then analyzes the influencing factors while using a DEA-Tobit model. The findings show that the overall water use efficiency of the measured Chinese provinces, when considering sewage emissions as the undesirable output, is 0.582. Thus, most regions still need improvement. Provinces with the highest water efficiency are located in economically developed Eastern China. The spatial pattern of water use efficiency in China is consistent with the general pattern of regional economic development. This study implies that factors like export dependence, technical progress, and educational value have a positive influence on water use efficiency. Further, while industrial structure has had a negative impact, government intervention has had little impact on water use efficiency. These research results will provide a scientific basis for the government to make plans for water resource development, and it may be helpful in improving regional sustainable development.

The relationship and time elasticity between traffic location change and urbanization process: a case study of China’s Chongqing municipality

ABSTRACTThe improvement of traffic location conditions is an important driving force for the development of regional urbanization. Establishing a quantitative correlation model between them is the basic premise for finding out the evolution rules of regional development patterns. Taking China’s Chongqing Municipality as an example, through Regional Traffic Dominance (RTD) modelling, this paper quantitatively analyzed the time-series response relationship between the evolution of RTD and urbanization in the past 10 years. The results show that there is a strong positive correlation between RTD and urbanization. Meanwhile, the temporal-elasticity is following a certain pattern determined by the grade of transport network.

Hukou and highways the impact of China's spatial development policies on urbanization and regional inequality

This paper examines the spatial economic impact of China's two main spatial development policies: restricted labor mobility through the Hukou residential registration system, and the construction of a 96,000 km national expressway network (NEN). Using a structural new economic geography approach, we find that these policies have shaped regional economic development and urbanization patterns across China in very different ways. The construction of the NEN has reinforced China's existing core-periphery patterns: initially lagging regions not connected to the NEN have not benefitted much from its construction. By contrast, a removal of the Hukou restrictions is predicted to result in much more widespread welfare gains, allowing all people to benefit by moving to where they are most productive. Interestingly, it would even promote urbanization in currently lagging (inland) regions, mostly by stimulating rural outmigration.

Potential Impacts of China 2030 High-Speed Rail Network on Ground Transportation Accessibility

China has proposed an ambitious high-speed rail (HSR) program by 2030 to connect all provincial capitals (excluding Lhasa) and large cities with more than half million people. Little attention has been paid to evaluate its potential impacts on ground transportation accessibility. To answer this question, we adopted a door-to-door approach to calculate two indicators: the weighted average travel time and daily accessibility. The results show that the HSR network follows the same spatial patterns of population size and regional development, thus preferentially serving eastern China. The two accessibility indicators suggest that the large-scale construction of HSR network by 2030 will substantially improve accessibility and alter the spatial disparities of accessibility. On average, accessibility of all cities will increase by 61.7%. Geographically, cities with higher accessibility are located in the quadrilateral area of ‘Wuhan-Zhengzhou-Jinan-Nanjing’ on the southeastern section of the ‘Hu Line.’ While the least accessible cities are distributed in peripheral areas. Although the HSR development can benefit accessibility throughout the country, the disparities of accessibility would widen slightly among regions, provinces and cities.

Determinants and Economic Effects of New Firm Creation: Evidence from Polish Regions

This article studies firm entry dynamics in Poland—an emerging Central and Eastern European (CEE) economy with significant regional disparities. In particular, it examines both long- and short-run drivers of new firm creation in the Polish NUTS-2 regions and the role of firm entries for the region’s economic activity by investigating the propagation of shocks to firm entry on regional GDP, nonagricultural employment, and the total number of firms. Results indicate that regional economic structures significantly affect new firm creation. Some important results are also obtained with regard to the role of firm entry in regional development patterns in Poland.

Engines of growth: essays in Swedish economic history

Sweden experienced a remarkable economic transformation between the 18th century and the outbreak of World War I. This dissertation consists of four self-contained papers that uses a quantitative empirical approach to identify key drivers of this transformation by analyzing the contribution of the potato to economic growth, the determinants of the early investments in mass schooling, and how the rollout of the national railroad network shaped rural and urban growth patterns from the mid-19th century to the present day. Together, the findings of this dissertation contribute novel evidence on the causal determinants of Sweden’s acceleration in growth and also shed light on the historical roots of contemporary patterns of regional and urban development.

NIGHT TIME LIGHT SATELLITE DATA FOR EVALUATING THE SOCIOECONOMICS IN CENTRAL ASIA

Abstract. Using nighttime lights data combined with LandScan population counts and socioeconomic statistics, dynamic change was monitored in the social economy of the five countries in Central Asia, from 1993 to 2012. In addition, the spatial pattern of regional historical development was analyzed, using this data. The countries included in this study were Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan. The economic development in these five Central Asian countries, the movement of the economic center, the distribution of poor areas and the night light development index (NLDI) were studied at a relatively fine spatial scale. In addition, we studied the relationship between the per capita lighting and per capita GDP at the national scale, finding that the per capital lighting correlated with per capita GDP. The results of this study reflect the socioeconomic development of Central Asia but more importantly, show that nighttime light satellite images are an effective tool for monitoring spatial and temporal social economic parameters.

What drives export performance of firms in Eastern and Western Poland?

ABSTRACTWe use a unique firm-level survey dataset that draws from the EFIGE (European Firms in a Global Economy) questionnaire to unveil differences in factors driving export performance in the most structurally diverse areas of Poland. While conventional results regarding the role of size, foreign ownership and innovation activity are confirmed at the aggregate level, the picture breaks down when Western and Eastern macroregions are extracted. Our results suggest that the common perception of a more developed West (Poland ‘A’) and a backward East (Poland ‘B’) might be outdated. Rather, firms in both regions seem to follow distinct strategies for and have dissimilar success factors in competing internationally. Interestingly, export performance in the East is found to benefit from family ties in business, but also from product innovation and non-price competitiveness. In the West, it is associated mostly with size and foreign ownership. Overall, our results, on the one hand, add support to the ‘new’ new trade theory and the ‘new’ new economic geography’s premises related to the importance of microeconomic factors and, on the other, contribute to the discussion on the pattern of regional development in Poland. We also discuss some implications for policymakers and managers and suggest directions for further research.

Accessibility and connectivity – Movement between cities, as a critical factor to achieve success on cross-border cooperation (CBC) projects. A European analysis

Nowadays, cross-border cooperation (CBC) is an undeniable reality in the space encompassed between European borders. This contributes to economical and social sustainable development, as well as to cohesion for trans boundary areas, which include administrative and territorial units from neighboring countries.A correct conceptual basis for the methodological approach to connectivity lies in the fact that the development of transportation systems, as integrated networks at different scales, is deeply changing their operation and the way they induce urban and regional development patterns. Overloaded transport corridors in the context of changing transportation flows are becoming an important issue for accessibility, impacting CBC indirectly, but harshly.Different modes of transport create different patterns of accessibility, with different influence in CBC accordingly. Throughout the present research, CBC European case studies, where connectivity-movement between cities, has been identified as a key factor for their territorial success, were assessed, described and analyzed.In the period of 2001–2006, improvements and further imbalances have occurred in accessibility development across regions and modes. Some signs indicate that the core-periphery pattern is slowly changing which leads towards an upgrade on the accessibility of places, regions and cities.