A new perspective on China’s industrial development strategy

At present China is facing challenges from economic globalization, ecological economy and knowledge economy in its process of economic development. The following ideas may be heuristic in establishing China’s regional development strategies: 1) In locating industries, the impact of industries on the eco-environment should be fully considered. 2) Industrial restructuring should be focused on the restructuring of products, not on the restructuring of the three traditional industries (primary, secondary and tertiary industries). 3) The establishment of key industries should be focused on large-scale corporations or famous brand products, not on a particular industrial sector. 4) The complementarity and cooperation between the east and the west of China should be on products and markets, not on natural resources. The advantages in natural resources for the west of China can not be over-estimated. The advantages in products and market potentials for the west of China may be explored.     

闽南金三角地区经济增长与产业重心的时空演变

闽南金三角地区已成为中国东南沿海重要的经济增长高地。然而,在同城化背景下,该地区的城市空间重组、区域协调等问题凸显,严重制约了区域可持续发展。本文运用重心模型揭示了2000-2012年闽南金三角经济增长以及三次产业重心迁移的时空演变特征与规律,并用Nich指数进一步分析三次产业差异。结果表明:(1)闽南金三角地区极化发展现象突出,2000年以来地区经济增长重心与二、三产业重心高度集聚于厦门市东北部,且东西向极化现象较明显;(2)厦、泉两地经济增长博弈激烈,2008年后第三产业开始回迁,且其对经济增长有一定的牵引效应,地区间第二产业非均衡性发展有所收敛;(3)第一产业重心往西南地区迁移的直线型态势显著,漳州市二、三产业发展均滞后于厦、泉地区。     

城市创意产业空间动态集聚演化的计算与可视优化方法

基于人文地理视角下的城市创意产业图像可视化分析对城市深层次空间综合和区域创新发展具有重大意义。但Swarm群智能动态时空建模难以满足创意产业空间集聚的可视化发展。本文研究目标是,从城市区域创意产业空间聚类影响因素指标出发,创新性地提出区域空间动态集聚轨迹算法（Density-Based Interest Spatial Clustering of Path,DBICP）,并与计算机浏览器共建聚类可视化图像,为城市管理提供决策依据。首先,根据影响因素指标体系,利用2014—2018年空间卡口流量数据和产业指标数据进行预处理,构建空间标准聚类算法DBSCAN。然后,对其进行聚类密度分级优化形成全新DBICP算法并得出初步轨迹图像。最后,通过源码转译实现了浏览器界面下空间动态集聚轨迹图像的输出。结果表明：以上海市为例,普陀区、浦东新区、徐汇地区的创意产业空间分布形成了3种不同的聚类模式,并相应提出了分摊、均布、虹吸的管控策略。此方法克服了传统图像的聚类分级和轨迹测量的缺失,可以有效地从指标数据中发现图像轨迹聚类信息,体现了地理信息科学和人文社会学科的交叉融合。也为大数据动态图像的集聚方法提供了全新视角和借鉴价值。     

The evolution of tea spatial agglomeration in China: An analysis based on different geographical scales

The spatial agglomeration of agricultural production is conducive to reducing planting costs, increasing production efficiency and improving product quality. It is an important way to promote the transformation and upgrad of tea industry and realize the modernization of China’s tea industry. This study used Gini coefficient and spatial autocorrelation analysis to explore the characteristics of tea spatial agglomeration in China from three geographical scales: regional level, provincial level and prefecture level from the year 2005 to 2015. The results indicated that there was a significant scale effect on the tea spatial agglomeration. The agglomeration degree increased from the regional level, provincial level to prefecture level. The types of spatial agglomeration evolution of the three scales were Ushaped, continuous diffusion, and continuous agglomeration. The spatial autocorrelation of tea production could only be found at the prefecture level. Meanwhile, at the prefecture scale, we could not only reveal the pattern changes at the regional and provincial levels, but also identify tea production agglomeration regions. Compared with the large scale, the small scale could reveal the characteristics of tea spatial agglomeration in more details. Factors such as natural resource endowments, cost factor, technological advancement, agglomeration economy, and agricultural policy influenced the evolution of tea spatial agglomeration from different geographical scales. Finally, from the perspectives of spatial transfer of tea production, promoting spatial agglomeration, building tea production bases, and breaking administrative boundaries, we proposed several policy suggestions for optimizing the spatial layout of tea production.     

A NEW PERSPECTIVE ON CHINA'S INDUSTRIAL DEVELOPMENT STRATEGY

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Evolutionary Pattern and Effect of Administrative Division Adjustment During Urbanization of China: Empirical Analysis on Multiple Scales

The adjustment of administrative divisions is one of the important factors guiding China’s urbanization, which has profound economic and social effects for regional development. In this paper, we comprehensively describe the process of the adjustment of administrative divisions at provincial and municipal levels in China and summarize the effects on the basic structure and patterns of the spatial development. We quantitatively assess the effects on fields such as urbanization and social economy through the use of multidimensional scaling. The results show that: 1) Upgrading county to municipality (or city-governed district) is the main way of adjusting the administrative divisions. It is also an important factor in the spatial differentiation of interprovincial urbanization. China’s population urbanization can be divided into four patterns including interprovincial migration, provincial migration, natural growth, and growth caused by the adjustment of administrative divisions, which is also the main reason for the increased Chinese urbanization rate at the provincial level. 2) Taking the city of Beijing as an example, we generalize five adjustment patterns made to administrative divisions: the set-up of sub-districts, the set-up of regional offices, the upgrading of townships to sub-districts, the upgrading of townships to towns, and the set-up of towns and the addition of new regional offices. We summarize the municipal urban spatial structure, including the sub-district office area in the central urban area, the regional office area in the new urban area, the mixed area of villages, towns, and sub-district offices in the suburb area, and the township area in the outer suburb area. 3) The adjustment of administrative divisions triggers a significant circulative accumulation effect, resulting in the spatial locking of population and industrial agglomeration. It affects the evolution of the urban spatial form and plays an important role in shaping the urban spatial structure to move to the characteristic of multicenter. In general, the adjustment of administrative divisions was an important factor affecting the inflated statistical level of urbanization and also an important driving force for the evolution of Chinese urban spatial organization structure.     

Estimation of regional evapotranspiration in alpine area and its response to land use change: A case study in Three-River Headwaters region of Qinghai-Tibet Plateau, China

Three-River Headwaters(TRH) region involved in this paper refers to the source region of the Changjiang(Yangtze) River,the Huanghe(Yellow) River and the Lancang River in China.Taking the TRH region of the Qinghai-Tibet Plateau as a case,the annual evapotranspiration(ET) model developed by Zhang et al.(2001) was applied to evaluate mean annual ET in the alpine area,and the response of annual ET to land use change was analyzed.The plant-available water coefficient(w) of Zhang’s model was revised by using vegetation-temperature condition index(VTCI) before annual ET was calculated in alpine area.The future land use scenario,an input of ET model,was spatially simulated by using the conversion of land use and its effects at small regional extent(CLUE-S) to study the response of ET to land use change.Results show that the relative errors between the simulated ET and that calculated by using water balance equation were 3.81% and the index of agreement was 0.69.This indicates that Zhang’s ET model based on revised plant-available water coefficient is a scientific and practical tool to estimate the annual ET in the alpine area.The annual ET in 2000 in the study area was 221.2 mm,11.6 mm more than that in 1980.Average annual ET decreased from southeast to northwest,but the change of annual ET between 1980 and 2000 increased from southeast to northwest.As a vast and sparsely populated area,the population in the TRH region was extremely unbalanced and land use change was concentrated in very small regions.Thus,land use change had little effect on total annual ET in the study area but a great impact on its spatial distribution,and the effect of land use change on ET decreased with increasing precipitation.ET was most sensitive to the interconversion between forest and unused land,and was least sensitive to the interconversion between cropland and low-covered grassland.     

The “Valley Economy” Model of Regional Development: A Case Study of Mountain Areas in Beijing,Northern China

A case study is presented of a regional development model for valley economies in the mountain areas of Beijing, China. The nature and framework of the valley economy model are described and the development of the model, which is specific to the mountain areas of Beijing, is analyzed. Five different valley economy models applied in the Beijing mountain areas are compared. The major purpose of the valley economy model is to develop the regional economy, including the selection of appropriate industries, the allocation of industrial space, the establishment of supply chains and the integration of various industries. Pilot experiments using the valley economy model have been conducted in seven counties（districts） in Beijing： Pinggu, Huairou, Changping, Mentougou, and Fangshan districts, and Yanqing and Miyun counties. Five models for developing the Beijing mountain areas have been explored, including： creative cultural industries, characteristic industry clusters, the promotion of large tourist areas, natural scenic tourism and folk cultural tourism. Each model has its own unique features and potential to help in the regional development of mountain areas.     

Evaluation of role of Home Market Effects in China’s manufacturing industries

Under the theoretical framework of the New Trade Theory and the New Economic Geography, Home Market Effects (HMEs) is considered to be important sources of comparative advantage and significant reasons for industry agglomeration. Through the analysis on the input-output tables in China, the paper confirms the existence of HMEs for the manufacturing industries and their export trades on the national and provincial level in China. Several conclusions have been drawn in this study. Firstly, there exist prominent HMEs for manufacturing industries related with nondurable goods and materials in China. Secondly, 10 of the 15 kinds of manufacturing industries considered in this study display the existence of HMEs. Thirdly, the comparative advantage of factor endowment for the export trade of manufacturing industries is declining, while HMEs for them are increasing. Fourthly, among the 30 provincial regions studied in this paper, 11 regions show the existence of HMEs, most of which are located in the eastern coast region. This paper illustrates the simultaneous existence of the comparative advantage of factor endowment and scale economies of HMEs for China’s manufacturing industries. HMEs will not only be the new dynamic for the increase of manufacturing industries and their export trade, but also be the primary power for urban economic growth, industry improvement, and urban space expansion for China.     

The Evolution and Differentiation of Economic Convergence of Resource-based Cities in Northeast China

A key target of the overall strategy implementation for regional development since the 18th Party Congress of China has involved taking measures to narrow regional disparities. This is because resource-based cities' economic development has fallen below general levels due to resource exhaustion and an unbalanced industrial structure, among other factors. Further, an economic gap has long existed between Northeast China's large number of resource-based cities and non-resource-based cities. This article comprehensively studies the economic convergence of Northeast China's resource-based cities and non-resource-based cities from 1996 to 2015 by using a dynamic panel to analyze not only the economic development of different industries and types of cities, but also the main factors that influence economic development. The empirical results demonstrate that economic convergence exists in both resource-based and non-resource-based cities, but the economic gap between them has clearly narrowed since the implementation of a strategy to revitalize the Northeast's old industrial base. Shrinking cities are the fastest to converge, as mature cities are slower and regenerating cities are the slowest; regarding industry structure, the secondary industry dominates the economy in mature and shrinking cities, and the tertiary industry in regenerating cities. The primary stimulus in resource-based cities' economic development involves upgrading the industrial structure and investing in human capital. As China faces a ‘new normal' economy, resource-based cities in Northeast China should restructure the economy and perfect their market system to avoid again widening the economic gap.     

A MODIS time series data based algorithm for mapping forest fire burned area

Burned area mapping is an essential step in the forest fire research to investigate the relationship between forest fire and climate change and the effect of forest fire on carbon budgets. This study proposed an algorithm to map forest fire burned area using the Moderate-Resolution Imaging Spectroradiameter (MODIS) time series data in Heilongjiang Province, China. The algorithm is divided into two steps: Firstly, the ‘core’ pixels were extracted to represent the most possible burned pixels based on the comparison of the temporal change of Global Environmental Monitoring Index (GEMI), Burned Area Index (BAI) and MODIS active fire products between pre- and post-fires. Secondly, a 15-km distance was set to extract the entire burned areas near the ‘core’ pixels as more relaxed conditions were used to identify the fire pixels for reducing the omission error as much as possible. The algorithm comprehensively considered the thermal characteristics and the spectral change between pre- and post-fires, which are represented by the MODIS fire products and the spectral index, respectively. Tahe, Mohe and Huma counties of Heilongjiang Province, China were chosen as the study area for burned area mapping and a time series of burned maps were produced from 2000 to 2011. The results show that the algorithm can extract burned areas more accurately with the highest accuracy of 96.61%.     

AN ANALYSIS OF RELEVANT CONDITIONS FOR DEVELOPING RESOURCE-TYPE INDUSTRIES IN CHINA

Resource-type industries are significance in national economy in the initial stage of industrialization and urbanization in developing countries including China. China is abundant in energy resources, but their distribution is uneven. The prospect of iron and steel industry from the supply of iron ore and coal as well as nonferous metallurgical industry, and chemical industry, is discussed. Processing of agricultural product is an important component of resource-type industries, and the base of light industry. The current status of light industry and different potentials in China's provinces are analysed. The author classifies all provinces into five types according to the spatial combination of minerals in China, and argues that four indicators have to be taken into account with regard to the appraisal of geographical position.     

Residents′Activity-travel Behavior Variation by Communities in Beijing,China

China’s transition from a planned economy to a market economy has resulted in many changes in its urban structure and society and provided an opportunity for a quasi-longitudinal case study on the relationship between the built environment and activity-travel behavior.This paper draws upon data from an activity diary survey conducted in Beijing in 2007.The survey sample comprised 652 residents living in Danwei(work unit),commodity housing,and affordable housing neighborhoods.On the basis of the three-dimensional geo-visualization analysis of the space-time path and statistical multivariate regression models of daily travel and leisure time,it was found that both residential spatial factors and socio-demographics influence residents’ daily behaviors.The findings show that Danwei residents have less daily travel time than those who live in commodity housing,but people living in affordable housing endure the longest travel time.Daily leisure time is associated more with individual attributes.We argue that although China’s transition is currently gradual,the Danwei system may continue to play significant roles in daily life,and it might provide a valuable model for neighborhood spatial planning.     

Research on regional comprehensive development in developed regions —The case of Shanghai-Nanjing-Hangzhou area

The developed regions are faced with the problems of regional comprehensive development, and the research on regional comprehensive development has become a trend in the world. To optimize regional industrial structure and to select and determine scientifically the spatial development strategy of regional industries are the central themes to be solved for the research on regional comprehensive development in the developed regions. This paper proposed the basis for optimizing regional industrial structure, and the main factors of selecting and determining the regional leading industries. Based on this, the paper puts forward the leading industries and the spatial development strategy in Shanghai-Nanjing-Hangzhou area in the future ten or more years. Combined with the situation of Shanghai-Nanjing-Hangzhou area, the paper also discusses some problems of locating superior developing axis to benefit the rational distribution of regional productive forces.     

RESEARCH ON REGIONAL COMPREHENSIVE DEVELOPMENT IN DEVELOPED REGIONS-THE CASE OF SHANGHAI-NANJING-HANGZHOU AREA

The developed regions are faced with the problems of regional comprehensive development, and the research on regional comprehensive development has become a trend in the world. To optimize regional industrial structure and to select and determine scientifically the spatial development strategy of regional industries are the central themes to be solved for the research on regional comprehensive development in the developed regions. This paper proposed the basis for optimizing regional industrial structure, and the main factors of selecting and determining the regional leading industries. Based on this, the paper puts forward the leading industries and the spatial development strategy in Shanghai-Nanjing-Hangzhou area in the future ten or more years. Combined with the situation of Shanghai-Nanjing-Hangzhou area, the paper also discusses some problems of locating superior developing axis to benefit the rational distribution of regional productive forces.     

A methodology for estimating Leaf Area Index by assimilating remote sensing data into crop model based on temporal and spatial knowledge

In this paper,a methodology for Leaf Area Index(LAI) estimating was proposed by assimilating remote sensed data into crop model based on temporal and spatial knowledge.Firstly,sensitive parameters of crop model were calibrated by Shuffled Complex Evolution method developed at the University of Arizona(SCE-UA) optimization method based on phenological information,which is called temporal knowledge.The calibrated crop model will be used as the forecast operator.Then,the Taylor′s mean value theorem was applied to extracting spatial information from the Moderate Resolution Imaging Spectroradiometer(MODIS) multi-scale data,which was used to calibrate the LAI inversion results by A two-layer Canopy Reflectance Model(ACRM) model.The calibrated LAI result was used as the observation operator.Finally,an Ensemble Kalman Filter(EnKF) was used to assimilate MODIS data into crop model.The results showed that the method could significantly improve the estimation accuracy of LAI and the simulated curves of LAI more conform to the crop growth situation closely comparing with MODIS LAI products.The root mean square error(RMSE) of LAI calculated by assimilation is 0.9185 which is reduced by 58.7% compared with that by simulation(0.3795),and before and after assimilation the mean error is reduced by 92.6% which is from 0.3563 to 0.0265.All these experiments indicated that the methodology proposed in this paper is reasonable and accurate for estimating crop LAI.     

Spatiotemporal patterns of road network and road development priority in three parallel rivers region in Yunnan, China: An evaluation based on modified kernel distance estimate

Road network is a critical component of public infrastructure,and the supporting system of social and economic development.Based on a modified kernel density estimate(KDE)algorithm,this study evaluated the road service capacity provided by a road network composed of multi-level roads(i.e.national,provincial,county and rural roads),by taking account of the differences of effect extent and intensity for roads of different levels.Summarized at town scale,the population burden and the annual rural economic income of unit road service capacity were used as the surrogates of social and economic demands for road service.This method was applied to the road network of the Three Parallel River Region,the northwestern Yunnan Province,China to evaluate the development of road network in this region.In results,the total road length of this region in 2005 was 3.70×104km,and the length ratio between national,provincial,county and rural roads was 1∶2∶8∶47.From 1989 to 2005,the regional road service capacity increased by 13.1%,of which the contributions from the national,provincial,county and rural roads were 11.1%,19.4%,22.6%,and 67.8%,respectively,revealing the effect of′All Village Accessible′policy of road development in the mountainous regions in the last decade.The spatial patterns of population burden and economic requirement of unit road service suggested that the areas farther away from the national and provincial roads have higher road development priority(RDP).Based on the modified KDE model and the framework of RDP evaluation,this study provided a useful approach for developing an optimal plan of road development at regional scale.     

Extraction and analysis of gully head of Loess Plateau in China based on digital elevation model

In China′s Loess Plateau area, gully head is the most active zone of a drainage system in gully areas. The differentiation of loess gully head follows geospatial patterns and reflects the process of the loess landform development and evolution of its drainage system to some extent. In this study, the geomorphic meaning, basic characteristics, morphological structure and the basic types of loess gully heads were systematically analysed. Then, the loess gully head′s conceptual model was established, and an extraction method based on Digital Elevation Model(DEM) for loess gully head features and elements was proposed. Through analysing the achieved statistics of loess gully head features, loess gully heads have apparently similar and different characteristics depending on the different loess landforms where they are found. The loess head characteristics reflect their growth period and evolution tendency to a certain degree, and they indirectly represent evolutionary mechanisms. In addition, the loess gully developmental stages and the evolutionary processes can be deduced by using loess gully head characteristics. This study is of great significance for development and improvement of the theoretical system for describing loess gully landforms.     

Multiple cropping intensity in China derived from agro-meteorological observations and MODIS data

Double-and triple-cropping in a year have played a very important role in meeting the rising need for food in China.However,the intensified agricultural practices have significantly altered biogeochemical cycles and soil quality.Understanding and mapping cropping intensity in China′s agricultural systems are therefore necessary to better estimate carbon,nitrogen and water fluxes within agro-ecosystems on the national scale.In this study,we investigated the spatial pattern of crop calendar and multiple cropping rotations in China using phenological records from 394 agro-meteorological stations(AMSs)across China.The results from the analysis of in situ field observations were used to develop a new algorithm that identifies the spatial distribution of multiple cropping in China from moderate resolution imaging spectroradiometer(MODIS)time series data with a 500 m spatial resolution and an 8-day temporal resolution.According to the MODIS-derived multiple cropping distribution in 2002,the proportion of cropland cultivated with multiple crops reached 34%in China.Double-cropping accounted for approximately 94.6%and triple-cropping for 5.4%.The results demonstrat that MODIS EVI(Enhanced Vegetation Index)time series data have the capability and potential to delineate the dynamics of double-and triple-cropping practices.The resultant multiple cropping map could be used to evaluate the impacts of agricultural intensification on biogeochemical cycles.     

THE REGIONAL DEVELOPMENT IN THE PEARL RIVER DELTA IN NEW TERM

Since China opening to outside world, the economy in the Pearl(Zhujiang) River Delta(PRD) has been dou-ble digit growth. It has been known as one of mature fast growth areas in the world and become the model and hope of Chi-nese reform and opening to outside world. The regional development in PRD is the outcome of polarization effects. The polar-ization effects actually are extension of international regional division and a combination of Hongkong‘‘s influence and re-form and open-door policies on the mainland. Since the 1990s, driven by knowledge-based economy, the PRD has furtheradjusted the industrial structure and achieved good progress in upgrading industrial structure. Its high technology industryhas developed quickly and the economic internationalization has deepened, meanwhile, the region is going through transforma-tion and some new trends have begun to appear, which include: university towns springing up, industrial globalization andthe construction of Hi-tech development zones. The paper suggests that with the economic growth changing from relying onthe low level production elements to relying on high level production elements, the regional policies in GuangdongProvince should develop correspondingly: 1) make a plan to prohihite the blind construction in innovative spatial construc-tions; 2) make measures to attract the overseas talents to establish a pool of talent; 3) work out the favorable policies forabsorbing larger capital; 4) formulate the policy of attracting a cluster of industries to speed up the upgrade of industrialdevelopment.