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Research on structure of global geographic information industry innovation chain Yue WANG, Tao WANG 2022, 31(2): 225-235.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020609 Abstract ( )   HTML ( )   PDF (602KB) ( )   This paper toke the geographic information industry as the research object, used the authorized invention patent data, and put forward the research method of industrial innovation chain structure on the basis of the geographic information industry chain. Furthermore, from the perspective of overall structure and specific regional structure, it quantitatively evaluated the development status of innovation chains, then compared and analyzed the structural integrity and leading links of the innovation chain in China, the United States and Japan. In terms of the overall structure, the global innovation chain has an "inverted triangle" structure due to the weak innovation capability of downstream links. From a specific geographical point of view, most countries and regions of the geographic information industry innovation chain is not complete, there are broken or isolated ring. The global innovation chain except China had a "hourglass-shaped" structure with wide upper part, narrow lower part and narrower middle part due to the relatively weak middle part. Relatively speaking, China's industrial innovation chain is more complete, and the mid-stream link has a significant comparative advantage in the global market. However, the industry-university-research cooperation in the innovation chain is weak, with a low degree of marketization, and the technological competitiveness lags behind that of the United States. Figures and Tables | References | Related Articles | Metrics

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A supplementary explanation of the causes of tourism safety accidents from the perspective of geography: The case of Chinese outbound tourists in Thailand Yi LIU, Yuan LI, Jiehan JI 2022, 31(2): 236-248.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020488 Abstract ( )   HTML ( )   PDF (761KB) ( )   While existing research has extensively investigated the causes of tourism safety accidents from the perspective of safety management theory, the factors related to spatial and temporal features of tourism activities have not been paid enough attention to. What's more, most of the prior research is conducted based on macro quantitative measurement, but the in-depth case study is quite limited. Starting from three factors: tourism site characteristics, usual non-footprint environment, and mobility, this paper analyzes the space-time scene features of 84 safety accidents of Chinese tourists in Thailand from 2009 to 2019, providing a supplementary explanation from geography for the prevention and control of tourism safety accidents. The results show that: firstly, the basic types and harm degree of tourism safety accidents are highly affected by the risk characteristics of the geographical environment, which are not only derived from the management problems. The climate characteristics of heavy rainfall in summer and the terrain characteristics of mountainous areas in Thailand significantly plague the water-related tourism activities and land and water transportation activities, resulting in a high incidence of boat traffic accidents, mountain traffic accidents, and beach drowning accidents. Secondly, the cognitive bias caused by the usual non-footprint environment such as: highways, beach swimming pools, hotels, convenience stores, is an important factor to trigger safety accidents. Due to the large social and cultural differences between China and Thailand, the usual non-footprint environment can easily lead to risk perception bias for tourists, which in turn increases the error of behavioral decision-making, thereby increasing safety risks. Thirdly, spaces with high mobility are also the scenes where safety accidents occur frequently, such as traffic road and sea routes. The contribution of this paper is to provide supplementary explanations from geography for the causes of tourism safety accidents, and fully reveal the influence of the complexity of the geographical environment on tourism safety management and the individual's risk perception bias, which has a positive reference value for reducing the risk of tourism travel. Figures and Tables | References | Related Articles | Metrics

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A study on the spatial patterns and their evolution of international migration among countries or areas along the Belt and Road Lijun WU, Yu ZHU, Jun YAN, Wenqian KE, Liyue LIN 2022, 31(2): 249-258.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020706 Abstract ( )   HTML ( )   PDF (2389KB) ( )   Figures and Tables | References | Related Articles | Metrics

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A review of regional innovation policy in European economic geography Yijia CHEN, Juntao TAN 2022, 31(2): 259-269.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020249 Abstract ( )   HTML ( )   PDF (538KB) ( )   Regional innovation policies are critical to innovation-driven growth and economic structural transformation. Based on criticizing the neoclassical economics' space-neutral innovation policy, economic geographies proposed the place-based regional innovation policy, which has been adopted by the European Commission and the Organization for Economic Cooperation and Development. This paper reviews the background, main tasks, theoretical basis and policy recommendations of the regional innovation policy. The findings are as follows. First, there are three mainstream frameworks of regional innovation policy in European economic geography, namely, regional innovation system, smart specialization, and sustainability transition studies. Second, each framework has their own focus point, that is, the regional innovation system focuses on fixing the system failure, the smart specialization on the direction of priority, and the sustainable transformation studies on fixing the transformation failure. Third, the policy recommendations in each framework are summarized. Finally,several promising avenues for the future regional innovation policy research of Chinese economic geography are proposed. Figures and Tables | References | Related Articles | Metrics

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Comparative analysis of the international competitiveness of China and India's information industry from the perspective of global value chain Xiyao GENG, Yang HU 2022, 31(2): 270-279.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020722 Abstract ( )   HTML ( )   PDF (1064KB) ( )   Information industry is an important engine for national economy development, and affects the future prospects of a country. At present, both developed countries and Newly Industrializing Economies (NIES) focus on improving the competitiveness of the information industry. China and India both attach great importance to the information industry, but they take very different strategies and approaches to promote industrial development. Based on the perspective of global value chain (GVC), this paper uses TiVA(Trade in Value Added)data to measure GVC participation degree and GVC position of China and India's information industry, and compares the mechanisms and effects of the integration of information industry into GVCs from the perspective of national industrial policies and location conditions. The study shows that "hardware" manufacturing can significantly improve the international competitiveness of China's information industry, but the "software- priority" policy can't enhance the comprehensive strength of India's information industry, China's policy which give priority to "hardware" and take "software" into consideration is more conducive to high-quality and sustainable development of the information industry. In terms of location conditions, India lacks the basic conditions for the comprehensive development of "hardware" manufacturing, while China creates a broad space for the development of "hardware" manufacturing and "software" services. Figures and Tables | References | Related Articles | Metrics

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Has the digital economy narrowed the gap between urban and rural areas? ——Empirical test based on mediating effect model Xinxin CHEN, Bo DUAN 2022, 31(2): 280-291.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020292 Abstract ( )   HTML ( )   PDF (753KB) ( )   The development of digital economy is an opportunity for China to accelerate the narrowing of the urban-rural gap. Based on the theoretical interpretation of the impact mechanism of digital economy on urban-rural gap, this paper uses provincial panel data to build a digital economy measurement index, identifies the spatial differentiation characteristics, and tests the direct and indirect effects of digital economy on the urban-rural gap through the mediating effect model. The results show that: (1) The overall development of digital economy and manufacturing agglomeration showed an upward trend from 2013 to 2017, and the gap between urban and rural areas was significantly narrowed, but there are still obvious regional differences, showing a spatial pattern of decreasing and uneven distribution from east to west; (2) The digital economy directly narrows the urban-rural gap through the market integration effect and modular division of labor effect, and indirectly reduces the urban-rural gap by exerting the labor redistribution effect and agglomeration effect through agglomeration economy; (3) Through the regional test, it's found that the eastern, central and western regions show positive, insignificant and negative direct effects respectively, due to the different siphon intensity of the core cities. The eastern and central regions have significant negative indirect effects, while the western regions have positive indirect effects because of the high institutional cost hindering the cross regional flow of production factors. Accordingly, to narrow the gap between urban and rural areas, we should focus on reducing the digital divide, promoting the flow of factors and agglomeration balance. Figures and Tables | References | Related Articles | Metrics

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The network structure and scale characteristics of Xinjiang town system from 2000 to 2017 Yishan WANG, Fei ZHANG, Rui CHEN, Yaxiao QI 2022, 31(2): 292-304.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020315 Abstract ( )   HTML ( )   PDF (1645KB) ( )   Based on the two aspects of urban spatial network structure and scale characteristics, the article uses modified gravity model, social network analysis, standard deviation ellipse analysis, central function model and Theil index model to comprehensively describe the town system in Xinjiang from 2000 to 2017. The results show that: (1) From the perspective of the urban spatial network structure, the scope of the urban network of the Xinjiang town agglomeration continues to expand, and hierarchical stratification is more prominent. The spatial performance is a gradual decrease in the single core with the Wuchangshi town agglomeration as the core. Circular structure. The density of the contact network has declined, but changes are little. Regional connection of sub-town groups needs to be improved. The internal cohesion of Xinjiang's town system is far greater than the outward radiation, and resources are flowing to core area.Regional development is unbalanced. (2) From the perspective of urban scale characteristics, the dominant direction of the regional pattern of Xinjiangtown system is "Northeast-Southwest", the spatial structure is stable for a long time, the core area is concentrated in the middle of Tianshan, and the overall appearance is "a super strong, scattered group" The development pattern of Wuchangshi town agglomeration and other sub-city town agglomeration is very different and the polarization phenomenon is becoming more and more prominent. Each sub-town group shows obvious level differences. At the same time, gap between sub-town groups continued to grow, and progress was relatively fragmented. The function configuration of the town groups continued to shift, showing a sizable "siphon" effect. On the whole, the "center-periphery" characteristics of the study area are suggestive. Regional economic structure has certain drawbacks, but the hierarchical structure and the slight differences between sub-urban groups are the same ones. The framework of regional optimization of the economic structure creates possibilities. Figures and Tables | References | Related Articles | Metrics

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Economic driving effect of Beijing-Shanghai HSR station on surrounding areas ——Evidence from DMSP/OLS and NPP/VIIRS satellite light data Lu YU, Ge YAN 2022, 31(2): 305-316.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020458 Abstract ( )   HTML ( )   PDF (805KB) ( )   With rapid development of China's high-speed rail, the high-speed rail station is becoming a "new engine" for the development of many cities in China. Taking the stations along the Beijing-Shanghai high-speed railway as an example, this paper analyses the economic driving effect of the high-speed railway stations on the surrounding areas. Due to the lack of relevant socio-economic data, this paper uses DMSP/OLS and NPP/VIIRS satellite light data combined with distance circle method to evaluate the economic effect of high-speed railway station along this line. The study results show that after the opening of high-speed rail, the areas around the high-speed rail stations located in medium-sized cities benefit the most, followed by the areas around the high-speed rail stations located in large cities, and the high-speed rail stations in small cities have the worst driving effect on the surrounding areas. Figures and Tables | References | Related Articles | Metrics

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Spatio-temporal coupling process of urbanization and resource-environmental pressure in Liaoning Province Xinyu YANG, Fangqu NIU 2022, 31(2): 317-328.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020577 Abstract ( )   HTML ( )   PDF (915KB) ( )   The strategy of "new urbanization" calls for a harmonious coexistence between man and nature and a path of green, low-carbon, efficient and intensive sustainable development. This paper constructs an evaluation index system of urbanization and resource-environmental pressure, and applies the grey correlation degree and coupling coordination degree model to study the space-time coupling process of urbanization process and resource environment pressure in Liaoning. The results show that: (1) from 1996 to 2017, the urbanization level of Liaoning province has been increasing, and the pressure of resources and environment has been decreasing. The coupling of the two has always been at the antagonistic stage, and the coupling coordination relationship has undergone a process of transformation from low coordination to medium coordination and then to high coordination. The built-up area is the most typical limiting factor of urbanization in Liaoning province, and land resource occupation is the most typical limiting factor of resources and environment. (2) There is a large spatial difference in the urbanization level of 14 cities in Liaoning province. Shenyang and Dalian are always at the forefront of urbanization development within the province, while Chaoyang and Tieling are relatively backward. The degree of coupling coordination between urbanization and pressure of resources and environment presents the characteristics of high cities in the southeast and low cities in the northwest, which presents a certain spatial correspondence with the development level of urbanization. Figures and Tables | References | Related Articles | Metrics

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Characteristics of wetland evolution and its correlation with human activities in Bohai Sea coast in Shandong Province Teng ZHANG, Jun CHANG, Yu MA, Yixuan SUN, Changlong LIU 2022, 31(2): 329-337.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020389 Abstract ( )   HTML ( )   PDF (858KB) ( )   Coastal Wetland is one of the most significant areas affected by human activities. Based on remote sensing image data in 1990, 2000, 2010 and 2019, this study takes the Bohai Sea coastal area of Shandong province as the object and uses human activity intensity model and Pearson correlation coefficient to explore the evolution law of Coastal Wetlands under the influence of human activities, revealing the general relationship between human activities and land use types. The conclusions are as follows: (1) From 1990 to 2019, the total wetland area in the study area increased, the constructed wetland increased significantly, while the natural wetland decreased significantly. A large area of natural wetland was transformed into constructed wetland, and the Yellow River Delta was the best-preserved natural wetland area in the study area. (2) From 1990 to 2019, the intensity of human activities has been increasing continuously. The average value increased from 8.48 in 1990 to 17.07 in 2019 with the increase amplitude of 101.30%. In different regions with different intensity of human activities, the dominant role played by wetlands was inversely proportional to its strength. (3) During the study period, with the continuous increase of salt pan and construction land area and the transformation of natural wetland to other land types, the total wetland area in the middle-high intensity area of human activities is small but increasing, while the area of low-intensity area is decreasing but the total amount is larger. (4) From the correlation test results of these cities, there are some differences in the correlation between human activity influencing factors and wetland area in different cities. On the whole, the influencing factors of human activities are significantly correlated with constructed wetlands, but significantly negatively correlated or uncorrelated with natural wetlands. The research can provide scientific basis and important reference for wetland protection and response to human overexploitation in coastal area of Bohai Sea in Shandong Province. Figures and Tables | References | Related Articles | Metrics

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The definition and demonstration of multi-market areas in the trade area subdividing Liying YUE, Shan LI, Kaiming LI, Ying ZHANG, Jie LIU 2022, 31(2): 338-349.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020715 Abstract ( )   HTML ( )   PDF (1347KB) ( )   The trade area hierarchical division has always been a hot issue for business practitioners and scholars. Under the background of urban commercial space expansion, traditional hierarchical division of trade areas from a single perspective can no longer meet commercial market segmentation needs. Trade areas can be affected by many factors, and the scientific identification and division of them need multi perspective cross analysis, which is the basis for analyzing commercial prospects and optimizing commercial space structures. This will provide scientific basis for the healthy development of commercial facilities and efficient utilization of urban commercial space, and help to solve the problems of overlapping and excessive competition in the rapid development of urban commerce. In terms of model definition, we refines and defines two types and four market area methods, which are distance proximity, quotient, ratio, primacy ratio, respectively. By comparing their advantages and disadvantages, it is found that these four perspectives can only reflect a certain feature of trade areas, but can not depict the overall spatial distribution of trade areas, so we systematically construct the interactive model of multi-market areas. In case study, we carry out empirical research by using mobile phone signaling data in Shanghai, taking Xujiahui commercial center, Lujiazui commercial center and East nanjing road commercial center as examples. The results show that: the composite market area model can comprehensively reflect the influence of spatial distance, passenger flow and patronage probability on trade areas, and can make up for the deficiency of the trade areas division method from the perspective of single market areas. Compared with the traditional adjacent trade area, the new model not only has low overlapping degree, but also its spatial distribution is more in line with the reality. In commercial practical application, business practitioners can flexibly combine different market areas according to market demand, which has certain universality. Figures and Tables | References | Related Articles | Metrics

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Research on the center of gravity coupling and interactive response between tourism economic efficiency and regional economic level in Western Provinces Boming ZHENG, Qingzhong MING, Anle LIU, Xuan ZHANG 2022, 31(2): 350-362.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020468 Abstract ( )   HTML ( )   PDF (1285KB) ( )   Tourism is an important driving force for the development of western regional economy in the context of the new round of western development. Based on this, it integrates the non-radial super-efficiency DEA model, integrated linear weighting method, non-parametric Kernel kernel density estimation, center of gravity model, center of gravity coupling model and VAR model to analyze the center of gravity coupling and interactive response of tourism economic efficiency and regional economic level. Results show that: (1) both tourism economic efficiency and regional economic level in western China are at a low level, the former has experienced the evolution from Sichuan-Guizhou-Chongqing triple core to Yunnan-Guizhou;(2) Shape of the tourism economic efficiency nuclear density curve develops from relatively smooth to steep, while the regional economic level is relatively stable, and the former is more severe polarization; (3) Tourism economic efficiency and the regional economic level move in the biggest direction of the center of gravity, respectively, "south to the west " and "south east", both showing a "northwest"-"southeast" polarization pattern, polarization direction respectively by 3.41°,1.41°; (4) The spatial overlap values evolve in a U pattern, with the center of gravity coupling first "optimized" and then "degraded"; (5)The impulse responses are mostly smooth, and the responses are mostly concentrated in the first 3-4 periods, and variance contribution of regional economic level to tourism economic efficiency is low, while the variance contribution of tourism economic efficiency to regional economic level is high. Figures and Tables | References | Related Articles | Metrics

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Study on the spatial differentiation pattern and sustainable development model of beautiful villages in Zhejiang Province Dandan WU, Yang WU, Renfeng MA, Jianhui YU, Xuegang FENG 2022, 31(2): 363-375.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020466 Abstract ( )   HTML ( )   PDF (1551KB) ( )   Zhejiang beautiful village construction is a local classic model that steadily promotes the strategy of rural revitalization across the country. Based on the data of three batches of beautiful rural demonstrative "demonstration villages" in Zhejiang from 2016 to 2018, using Lorentz, average nearest neighbor index, nuclear density analysis and geographic detectors to quantitatively identify spatial characteristics and influencing factors of Zhejiang beautiful rural areas. Results show that: 1) The beautiful village demonstration village is spatially distributed as a whole, and has formed two large gathering areas of "Hangjia Hu"and "Jin Qu", and its spatial and temporal evolution characteristics are steadily changing. The latter two batches are distributed wider than the first batch. 2) Beautiful villages have five major types: agricultural service type, industrial development type, leisure tourism type, cultural inheritance type and comprehensive governance type. The spatial distribution characteristics of different types are significantly different, and are closely related to the existing factor endowment and industrial foundation. 3) Location conditions, cultural tourism resources, economic development level and topography are important factors that affect the location of the demonstration village. 4) The process of advancing the construction of beautiful villages from local to global areas follows the path of giving priority to the development of resource endowment demonstration villages and leading the surrounding villages, and advocates the multiple paths and governance models of government guidance, capital-driven, "farmer+company" and village democracy entrepreneurship. Figures and Tables | References | Related Articles | Metrics

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Spatial-temporal evolution of industrial land supply in the Yangtze River Economic Belt based on industry classification Linjuan LI, Zhongzhi WANG, Hao MENG, Kang DU 2022, 31(2): 376-387.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020518 Abstract ( )   HTML ( )   PDF (1796KB) ( )   Based on land supply results obtained from landchina in 2010-2018, using the spatial distribution of gravity-center, locational Gini index and kernel density estimation method with the Yangtze river economic belt as an example to research the spatial and temporal evolution of the industry land supply scale, and explored the characteristics of industrial land supply under different stages of development. The results show that:(1) The industrial land scale of all industries in the Yangtze River Economic Belt shows a trend of decreasing fluctuation, while the land used for industrial supporting services shows an increasing trend. (2) The scale growth of land use for industries in the upper Reaches of the Yangtze River has been limited. The pattern of industrialization in the middle reaches of the Yangtze River is changing, from pattern of land supply to infrastructure investment. Industries in the lower reaches of the Yangtze River are in the stage of transformation and upgrading to form a new cluster, and a new round of industrial production is begin.(3) During the study period, the land used by mining industry, other industries and raw material processing industry is relatively concentrated evolution in space, while the land used by energy supply industry, high-tech industry, industrial supporting service industry, textile industry and modern manufacturing industry is relatively balanced evolution in space.(4) The transfer of industrial land in the middle and late stage of industrialization is greatly influenced by the political and economic environment; The regional average land supply scale and land supply industry at different development stages are different. The higher the regional development stage is, the greater the demand for industrial land will be. Figures and Tables | References | Related Articles | Metrics

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Research on the industrial evolution and its mechanism in border towns Man SUN, Tao SONG, Qidi JI 2022, 31(2): 388-398.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020675 Abstract ( )   HTML ( )   PDF (995KB) ( )   The border area serves as the security guard and gateway to transnational exchanges. However, China's border areas are usually ethnic minority domiciled and economically underdeveloped. In the context of "The Belt and Road Initiative", exploring the industrial evolution of border towns from the multi-scalar perspective has theoretical and practical significances. This paper builds upon a multi scalar analysis framework—"global-national-local", taking Mengla- a Chinese town city bordering Laos as a case,and analyzes the typical industry evolution trends and mechanisms of border towns through GIS nuclear density analysis, correlation analysis and other methods. The results show that: (1) the industrial evolution phases of Mengla town can be divided into the stages of initial, cluster and integration. As the typical leading industries,the rubber industry, sugar industry and tourism industry have all experienced the process of initial budding, rapid development and maturity. (2) Factors affecting the evolution of the industrial structure in Mengla include three aspects. As the international scale, it includes the degree of national economic opening up, economic connecting ties between China and ASENA, bilateral relationship between China and Laos, the Laos' business environment. As the national scale, it is strongly affected by supporting policies. As the local scale, it mainly includes capital investment, infrastructure, economic development, people's average income, urbanization. (3) The industrial evolution of Mengla has been affected by multiple factors,nested within a multi-level governance structure. In particular, the proposal of "the Belt and Road Initiative" has brought in huge development momentum for Mengla as a border county. Figures and Tables | References | Related Articles | Metrics

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Study on the spatial distribution characteristics of life service industry in the main urban area of Zhengzhou city based on POI data Jiaqi ZHANG, Yannan LIU, Binbin SONG 2022, 31(2): 399-409.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020379 Abstract ( )   HTML ( )   PDF (1506KB) ( )   China's economy has entered the era of service economy. Life service industry is an important part of service economy, and also a basic industry of national economy. The reasonable layout of life service industry can improve the quality of life and the efficiency of resource utilization. Based on six kinds of POI data of life service industry, this paper studies the spatial distribution characteristics of life service industry in the main urban area of Zhengzhou City by using kernal density analysis, overlay analysis, standard deviation ellipse analysis and spatial correlation analysis. The results show that: (1)The layout of the six types of life service industries such as catering, accommodation, shopping, medical care, education, sports fitness has shown discontinuous peaks at the junction of five districts in the center of the main urban area, and "central mixed concentration, peripheral unequal diffusion" characteristics. The regions with high distribution density of service industry have obvious coincidence in space; (2)There is a strong correlation between the spatial distribution of all kinds of life service industries, among which the catering industry has the highest correlation with other kinds of service industries. While the hotel service industry has a relatively low correlation with other service industries. (3)The spatial distribution center of all kinds of life service industry is very close, which is located near the center point at the junction of Erqi District and Jinshui District, and the direction of spatial distribution of all kinds of service industry is basically the same, with northwest to southeast trend. The distribution range of medical treatment and education industry is relatively concentrated, and the distribution and service range of catering industry and shopping industry are the widest. (4)There is a mismatch between the distribution of population density and the distribution of life service industry in the main urban area of Zhengzhou, while the area with high economic density basically coincides with the area with high density of all kinds of life service industries. Figures and Tables | References | Related Articles | Metrics

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Spatio-temporal variation of African swine fever epidemic and its transmission risk in China Hai LIU, Zeyu AN, Yuefei HUANG, Peng JIA, Yunhai ZHU 2022, 31(2): 410-417.  DOI: 10.3969/j.issn.1004-9479.2022.02.2021047 Abstract ( )   HTML ( )   PDF (1092KB) ( )   African Swine Fever (ASF) is a strong infectious disease against pigs that does not infect humans and has a fatal impact on the pig industry. It is convenient to prevent and control ASF by studying the spatio-temporal variation characteristics of ASF and carrying out transmission risk analysis. From the perspective of geography, based on the analysis of the spatiotemporal variation and transmission direction of ASF epidemic in China, the maximum entropy model was used to study the transmission risk of ASF epidemic in China.The results showed that the prevalence of ASF in China increased at first and then decreased rapidly and tended to be stable. The largest number of ASF outbreaks occurred in southwest and northeast China, and the most concentrated region was northeast China. The direction of ASF transmission was northeast to east and south, and southwest to northwest.The main factors affecting the incidence of ASF are roads, rivers, population, breeding density and GDP of the primary industry. Based on this, the risk transmission model of ASF epidemic was constructed, and it was predicted that the high risk areas were mainly concentrated in the northeast, southwest and southeast regions.On the basis of the above analysis, the measures for ASF epidemic prevention and control were put forward.Key words: African swine fever; spatio-temporal variation; transmission risk Figures and Tables | References | Related Articles | Metrics

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Spatial-temporal structure, spatial gravity center and influential factors of scientific and technological innovation of tourism industry in China Cheng ZHOU, Xuegang FENG, Xuhong ZHANG 2022, 31(2): 418-427.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020499 Abstract ( )   HTML ( )   PDF (948KB) ( )   Tourism industry is one of the important social and economic departments with a large number of scientific and technological innovation and achievement transformation of research. Based on the patents and invention of tourism industry, tourist income, scenic spots and the number of college students in China, this paper study the characteristic of spatial-temporal structure, the evolutionary track of the center of gravity and the influencing factors of scientific and technological innovation in China from 2006 to 2017 by means of dynamic variation index, geographical concentration index, spatial center of gravity and grey correlation analysis. The results indicate that, scientific and technological innovation of China's tourism has shown a fluctuating and rising development trend on the whole. After 2013, the geographic concentration index began to decline continuously. Scientific and technological innovation of tourism in China presents the distribution pattern of high in the east and the south, low in the west and the north spatially. In addition, the center of gravity of scientific and technological innovation in tourism is located in East China, and it moves from north to south and then from east to west. Finally, the output of scientific and technological innovation, level of tourism economy, investment of science and technology, macro-economic environment, service of scientific and technological innovation, and tourism resources endowment and other factors all have a certain impact on scientific and technological innovation of tourism in China, but degree of influence is different Figures and Tables | References | Related Articles | Metrics

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Construction and empirical analysis of the study travel service ability Dongjun CHEN, Ding YANG, Hongbin XIE 2022, 31(2): 428-439.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020544 Abstract ( )   HTML ( )   PDF (1031KB) ( )   Study travel is a type of educational tourism activity that integrates experiential education and research learning, and flourishes under the joint effect of national policy and market demand. Based on the previous related studies and national documents, the evaluation system of study travel service capacity including explanation and education, transportation, accommodation, and medical treatment and rescue services was constructed in this paper. Five of the first batch of study travel cities, Huangshan, Shaoxing, Anyang, Mianyang and Guilin were selected to be analyzed with the Cloud model. The results show that: (1) Explanation and education service is the most important service projects that affect the service ability of study travel. (2) The evolution result of study travel service ability of Huangshan and Anyang is high, Shaoxing and Guilin is medium, Mianyang is low. It needs to improve various service capabilities according to their respective development status and characteristics. (3) The constructed evolution system can synthetically judge the study travel service ability with the Cloud model. This paper provides a basis and reference for study travel capacity evaluation and industry development. Figures and Tables | References | Related Articles | Metrics

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The evolution of spatial pattern and influencing factors of population mortality in China Kui YING, Xudong LI 2022, 31(2): 440-452.  DOI: 10.3969/j.issn.1004-9479.2022.02.2020402 Abstract ( )   HTML ( )   PDF (2502KB) ( )   Population mortality is one of the key factors in population transformation, which is also related to quality of regional social and economic development. Based on crude mortality data from 2000-2015, the study analyzes spatial pattern of population mortality and its evolution in China through coefficient of variation, trend analysis and spatial auto-correlation, and combined with partial least squares regression to quantitatively analyze the influencing factors of population mortality. Results show that: 1) China's population mortality rate was generally low in the northwest, northeast, and southeast, and high in the central and southwestern regions. In each period, the mortality rate of the provinces decreased more than the growth provinces. 2) The coefficients of variation of mortality in China's provinces are quite different, and in the spatial trend, the east-west direction shows low ends and middle high, and the north-south direction changes from low ends middle and high to north low south high. 3)The overall spatial concentration of population mortality has continued to weaken, regional differences have narrowed, and the local spatial distribution is dominated by high and low aggregation. 4) The aging of the population is the main driving factor for the increase in the death rate of the population, followed by the total discharge of industrial waste-water, the number of environmental emergencies and climatic conditions. Per capital GDP has a major inhibitory effect on population mortality, followed by the number of beds per 1,000 population, the average number of university students per 100,000 population, the per capital water consumption and the number of days that the air quality reaches level 2 or above account for the proportion of the whole year. The total affected area of crops has inconsistent effects on population mortality in different years. Figures and Tables | References | Related Articles | Metrics