Research On The Spatial Differences Of Village Economy In Henan Province From The Perspective Of Network Attention

With the orderly advancement of new-type urbanization and the continuous implementation of Rural Revitalization Strategy,the economic development level of villages and towns has been increasing rapidly,the urban-rural infrastructure has been gradually improved,and the life quality of villages and towns has continued to rise a new level.In detail,as the lowest real regional economy in China,rural economy has an indispensable foundation to support the rapid development of China’s economy and society.However,due to the different levels of urbanization or the different problems faced by rural rejuvenation,a series of development imbalances have arisen between different township areas.For human-economic geography,one of its core themes is spatial differences and regional coordination.Therefore,evaluating the spatial differences of regional economic and social development levels,then proposing strategies for promoting coordinated regional economic development have become an important perspective for geographic researchers.In the background of “Internet +”,literatures on the use of big data to study the differences in the level of economic development within a region have continued to emerge,and new research paradigms have been proposed for exploring the spatial differences in geography.Among the many data sources,Baidu,as the world ’s largest Chinese search engine,provides a big data analysis platform that has become a good helper for scholars.From the perspective of geography,the research from the micro perspective can better reflect the problem of spatial differences within the region,and can reveal the substantive issues in the process of regional development.Therefore,it has gradually become the focus of geographers and economists..Henan Province,as a microcosm area of national economic and social development,especially rural economic development,has a strong representation of economic spatial differences at the rural scale in the Central China and West China.Therefore,it is of great practical significance to study the rural economic differences in Henan Province to see the differences in rural development in typical agricultural areas across the country.Based on the above concept,this study took Baidu Search volume as a measurement index,used the rule-size analysis,Theil index,spatial classification,spatial interpolation analysis and exploratory spatial data analysis methods to analyze the spatial differentiation pattern.The results are shown as following.Firstly,from the perspective of the rule-size characteristics,the fitted line in each perspective conforms to the law of the rule-size.In detail,the slopes are all negative and their absolute values are less than 1.However,the slope is the lowest at city level,this means that the overall dispersive power is the strongest and the distribution is less concentrated.Meanwhile,the fitting degree of each curve exceeds 0.7,and the characteristic fitting degree is better,which can more accurately reflect the degree of network reflection in various perspectives.From the point of the distribution of scattered points,the points at the end of the trend line are more dense,while at the first are relatively sparse,which indicates that the attention of high-order village points is higher,and the imbalance of the overall network representation is still severe.Secondly,from the perspective of Theil index analysis,the spatial differentiation in village scale is more significant than other scales.In detail,from the perspective of internal differences,the value of Zhengzhou,Luoyang,Zhoukou,Shangqiu,Zhumadian are all higher than 1.70 with large internal differences,the value of Kaifeng,Xuchang,Xinyang,Nanyang,Jiaozuo,Anyang,and Hebi ranges from 1.41 to 1.70,and the value of Pingdingshan,Luohe,Xinxiang,Jiyuan,Liyang and Sanmenxia ranges from 1.00 to 1.40,this means their internal difference is small.From the perspective of sub-region’s internal differences,the value of Zhengzhou-Kaifeng Region,Shangqiu-Zhoukou Region and Luoyang-Sanmenxia Region are larger,followed by Zhumadian-Xinyang-Nanyang Region and Anyang-Hebi-Puyang Region,and Xuchang-Pingdingshan-Luohe Region and Xinxiang-Jiaozuo-Jiyuan Region are smaller.In overall,The Theil index from the county perspective is generally lower than that from the city and sub-region’s perspectives,which also reflects the complexity of increasing micro perspective differences.Thirdly,from the perspective of the village-value differentiation pattern,the high-value units are mainly composed of central urban areas,county towns,or surrounding village,and they are spatially distributed in a “speckled” pattern.The middle-value units are distributed around high-value units,and a few are special villages with strong characteristics.The low-value units are widely distributed inside the research area and form a basement,which are spatially represented as large and continuous areas.In contrast,the spatial pattern is more obvious in country and city scales.Specifically,the high-value and low-value units show obvious differentiation characteristics,which are similar to the results reflected by traditional indicators.From the perspective of spatial correlation,the global Moran’ I index at the village level is 0.0121 and passed the significance test,which means that there is a positive spatial correlation phenomenon in Henan Province and accompanied by the occurrence of agglomeration.However,the spatial correlation characteristics from other perspectives are not as significant as the village level.From the perspective of the spatial pattern reflected by the virtual and real indicators,the correlation degree from high to low is the city level、the county level、the town level,reflecting the objective expectation of increasing spatial differences from a micro perspective.Fourthly,compared with the real economy,the spatial pattern of the scale-structure-benefit is roughly similar to the virtual perspective based on Baidu Search Volume at village level.In detail,the high-value units are mainly distributed in the northwest,the middle-value units are scattered in various cities,and the low-value units are concentrated in the southeast region.In contrast,the spatial pattern at town level is different from the virtual perspective,this is mainly reflected the fact that Baidu Search Volume can more closely reflect the difference in the micro scale,it can also distinguish the different townships within the same county.In overall,it is beneficial to analyze the uneven development of the internal network of different towns.Fifthly,from the perspective of spatial regression analysis,the spatial pattern of industrial output value,employees,and the proportion of built-up area has some causal explanations,but the overall explanation is weak.From the perspective of search content,the influencing factors at village level based on Baidu Search Volume are mainly economic development foundation,regional resource endowment,social livelihood and welfare,online sales and brand effects.Although the above impact factors can reflect the reasons for the differences in most regions,they still cannot fully reflect the actual situation of spatial differences from the perspective of network attention.This is due to the Baidu Search Volume is the result of the interaction of multiple complex factors,and the impact factors of most regions are interlocked and intertwined,which is the result of chain development.