Spatial patterns of interprovincial mountain geographical names in China and implications for regional governance

Suffering from fragile environment, poor accessibility and infrastructure, as well as social,political and economic marginality, the interprovincial mountain geographical entities are difficult areas for the regional governance in China.By analyzing the spatial patterns and the influencing factors of the interprovincial mountain geographical names(IMGNs), the goal of this research is to clarify the geographical features of IMGNs and offer alternatives for the management of interprovincial mountain regions in China. The spatial visualization,the analysis of spatial agglomeration and the influencing factors of IMGNs were all implemented under a geographical information system. Results showed that there were 6869 IMGNs in China according to the database of "China's Second National Survey of Geographical Names(2014-2018)",including 4209 mountain geographical names, 1684 mountain peak geographical names and 976 the other mountain geographical names. Hunan Province had the largest number of names while Shanghai had the smallest number of names. In addition, the spatial variance of the mountain peak names and the mountain names were larger than that of the other mountain geographical names, and the IMGNs showed a significant clustering phenomenon in the southern part of China. The relative elevation and the population had an impact on the distribution of the IMGNs. The largest number of the names occurred where the relative elevation was between 1000-2000 m and where the population was between 40-50 million. Density of unnamed interprovincial mountain geographical entities declined from west to east in China. The analysis of generic names of different types of IMGNs implied that the naming of IMGNs is inconsistent. Based on these analyses, it is suggested that the government should take the IMGNs as management units, strengthen the naming of unnamed interprovincial mountain geographical entities, standardize the generic names of IMGNs and identify areas of poverty based on the survey of IMGNs.

Interprovincial migration in China,1985-2005:a gravity modeling approach

This paper tries to identify the characters that might affect interprovincial migrants' decisions and examine how and why the influence of these characters changed over time individually and synthetically in China during 1985-2005.We have investigated six types of factors,namely,distance,population density,income,employment structure,house price,and migration stock.In addition,we apply the identified factors with a multiple stepwise regression model to a longitudinal dataset,which consists of interprovincial migration flows over the last two decades in China.It is found that different factors have disparate impacts on migration in China,and they can be decomposed into push force in origin area and pull force in destination area.Factors shaping China's interprovincial migration have shifted from traditional factors such as distance to economic factors such as income and employment structure.This paper suggests that more attention should be paid to obtain detailed migration data with spatial ihfonnation and develop applicable models for migration processes.Our analysis provides references for development planners and policymakers to develop sound population policies to achieve regional sustainable development in China.

Interprovincial Comparison and Evaluation of Export Competitiveness of Gannan Navel Orange Based on 2011-2016 Data

China's orange export was mainly concentrated in Jiangxi,Guangxi,Guangdong,Yunnan,and Fujian.The annual output of Jiangxi Gannan navel orange ranks first in the whole China,but the export competitiveness is not very prominent.In view of this,this paper compared the regional market advantages,export performance,export growth rate and export price of Gannan navel orange between Yunnan,Guangxi,Guangdong and Fujian.Through comparative analysis,it discussed the main problems in the development of Gannan navel orange.On the basis of learning development experience of orange industry of Guangxi,Guangdong,Fujian,and Yunnan,it came up with recommendations for improving export competitiveness of Gannan navel orange.

Spatial-temporal patterns of China＇s interprovincial migration, 1985-2010

Migration plays an increasing role in China＇s economy since mobility rose and economic restructuring has proceeded during the last three decades. Given the background of most studies focusing on migration in a particular period, there is a critical need to analyze the spatial-temporal patterns of migration. Using bicomponent trend mapping technique and interprovincial migration data during the periods 1985-1990, 1990-1995, 1995-2000, 2000- 2005, and 2005-2010 we analyze net-, in-, out-migration intensity, and their changes over time in this study. Strong spatial variations in migration intensity were found in China＇s interprovincial migration, and substantial increase in migration intensity was also detected in eastern China during 1985-2010. Eight key destinations are mostly located within the three rapidly growing economic zones of eastern China （Pearl River Delta, Yangtze River Delta and Beijing-Tianjin-Hebei Metropolitan Region）, and they are classified into three types： mature, emerging, and fluctuant origins, while most key origins are relatively undeveloped central and western provinces, which are exactly in accordance with China＇s economic development patterns. The results of bicomponent trend mapping indicate that, in a sense, the migration in the south was more active than the north over the last three decades. The result shows the new changing features of spatial-temporal patterns of China＇s interprovincial migration that Fan and Chen did not find out in their research. A series of social-economic changes including rural transformation, balanced regional development, and labor market changes should be paid more attention to explore China＇s future interprovincial migration.

Spatial distribution and influencing factors of interprovincial terrestrial physical geographical names in China

The interprovincial terrestrial physical geographical entities are the key areas of regional integrated management. In this paper, we analyzed the spatial patterns of the interprovincial terrestrial physical geographical names(ITPGN) from three aspects: numerical features, spatial variance and spatial agglomeration. The influencing factors of the distribution of ITPGN and the implications for the regional management were further discussed. GIS technology was used to visualize the distribution of ITPGN, analyze the spatial agglomeration and the influencing factors of ITPGN. A total of 11,325 ITPGN, including 4243 water ITPGN and 7082 terrain ITPGN, were extracted from the database of "China's Second National Survey of Geographical Names(2014–2018)", and the mountain geographical names were the largest type in ITPGN. Hunan Province had the largest number of the names in China, and Shanghai had the smallest number of the names. The spatial variance of the terrain ITPGN was larger than that of the water ITPGN, and the ITPGN showed a significant agglomeration phenomenon in the southern part of China. In addition, the relative elevation and the population had an impact on the distribution of the ITPGN. The largest number of the geographical names occurred in the regions where the relative elevation was between 1000–2000 meters, and where the population was between 40–50 million. Based on the analysis, it was suggested that the government should take the ITPGN as management units, optimize management strategies based on the characteristics of different types of ITPGN, strengthen the naming of unnamed interprovincial terrestrial physical geographical entities and balance the interests in the controversial ITPGN. This study demonstrated that GIS and spatial analysis techniques were useful for the research of ITPGN and the results could provide targeted management suggestions to realize coordinated development in the interprovincial regions.

Value, Structure and Spatial Distribution of Interprovincial Trade in China

This study uses two different datasets to explore the stylized facts of interprovincial trade in China during the recent two decades. One dataset provides the magnitude of bilateral interprovincial goods trade calculated using firms ＇ value-added tax invoices. The other supplies estimates of interprovincial trade using provincial input-output tables. We find that China has both a large value and a high growth rate of interprovincial trade, but there still exists a home bias in internal trade for most provinces. In addition, disaggregation by product shows that the manufacturing sector has the largest share of interprovincial trade and this share continues to grow. Finally, the spatial distribution of trade suggests that all provinces can be clustered into a smaller number of trade areas with large intra-cluster trade. Therefore, China＇s central government should make more effort to reduce local protection, stimulate domestic demand and coordinate interregional trade among local jurisdictions.

China’s spatial(dis)integration as a multiethnic paradox:what do the interprovincial data say?

Using China’s interprovincial panel data,this paper shows that the negative effect of distance-related transactions costs on interprovincial trade tends to rise from 2000 to 2010.After constructing China’s 56 ethnic groups into a single,interprovincial similarity index,I cannot find any evidence that supports the view that ethnic links should serve as a factor promoting bilateral trade.However,my estimated coefficients on 37 major ethnic groups show that both positive and negative ethnic influences on trade exist in China.Specifically,14 ethnic groups(Lahu,Qiang,Jingpo,Tu,Mongol,Manchu,Hui,Zhuang,Dongxiang,Daur,Kirgiz,She,Maonan,and Tibetan)are found to contribute to China’s interprovincial trade,while five ethnic groups(Han,Va,Kazak,Dai,and Blang)tend to impede China’s interprovincial trade.Since all these estimated results are statistically significant,the ethnic influences on China’s spatial(dis)integration remain only but as a paradox.

Traditional Dietary Habits and Interprovincial Migration in College Choice: Evidence From Ningxia in China

Purpose:Every September,millions of students—elite human resources—enter higher education in China.This large-scale college-induced migration has substantial impacts on China’s national and local labor markets.This study examines the migration pattern in college choice and admission among the Hui students in China.In doing so,we extend the existing interprovincial migration model by identifying and measuring the role of traditional dietary habits in college migration decisions.Design/Approach/Methods:This study uses college entrance examination(Gaokao)admission data for 10 high school graduation cohorts from 2001 to 2010 in the Ningxia Hui Autonomous Region.These data are used to study the interprovincial migration of the Hui students following their college entrance examination.Ordinary least squares and logit regressions are used to control for other confounding factors,while the method of instrumental variables and placebo group comparison were used to rule out other explanations.Findings:Results demonstrate that traditional dietary habits produce geographic inequalities in terms of college opportunities for Hui and other minority group students.First,after controlling for variables such as college entrance examination scores and personal characteristics,results show that the Hui students are more likely to choose an institution closer to their hometown and preferred institutions located in Ningxia and the northwestern provinces rather than the Yangtze/Pearl River Delta regions and coastal provinces.Second,this migration pattern is shaped by the dietary habits of the Hui.Third,the Hui students were more likely to choose institutions in underdeveloped areas,resulting in corresponding welfare losses.Originality/Value:This study supplements classic college choice literature by documenting a special impact factor of geography previously overlooked by researchers,demonstrating the need to examine the underlying mechanisms of proximity and its significance in college choice.Moreover,the provision of dietary information may have important policy impacts for improved college choice,as well as for human capital investment and poverty alleviation measures in Northwest China.

A Full-Scale Optimization of a Crop Spatial Planting Structure and its Associated Effects

Driven by the concept of agricultural sustainable development,crop planting structure optimization(CPSO)has become an effective measure to reduce regional crop water demand,ensure food security,and protect the environment.However,traditional optimization of crop planting structures often ignores the impact on regional food supply–demand relations and interprovincial food trading.Therefore,using a system analysis concept and taking virtual water output as the connecting point,this study proposes a theoretical CPSO framework based on a multi-aspect and full-scale evaluation index system.To this end,a water footprint(WF)simulation module denoted as soil and water assessment tool–water footprint(SWAT-WF)is constructed to simulate the amount and components of regional crop WFs.A multi-objective spatial CPSO model with the objectives of maximizing the regional economic water productivity(EWP),minimizing the blue water dependency(BWFrate),and minimizing the grey water footprint(GWFgrey)is established to achieve an optimal planting layout.Considering various benefits,a fullscale evaluation index system based on region,province,and country scales is constructed.Through an entropy weight technique for order preference by similarity to an ideal solution(TOPSIS)comprehensive evaluation model,the optimal plan is selected from a variety of CPSO plans.The proposed framework is then verified through a case study of the upper–middle reaches of the Heihe River Basin in Gansu province,China.By combining the theory of virtual water trading with system analysis,the optimal planting structure is found.While sacrificing reasonable regional economic benefits,the optimization of the planting structure significantly improves the regional water resource benefits and ecological benefits at different scales.

The spatial patterns and determinants of internal migration of older adults in China from 1995 to 2015

Although China was one of the countries with the fastest-growing aging population in the world,limited scholarly attention has been paid to migration among older adults in China.The full picture of their migration in the entire country over time remains unknown.This study examines the spatial patterns of older interprovincial migration flows and their drivers in China over the period 1995 to 2015,using four waves of census data and intercensal population sample survey data.Results from eigenvector spatial filtering negative binomial regressions indicate that older adults tend to migrate away from low cost-of-living rural areas to high cost-of-living urban and rural areas,moving away from areas with extreme temperature differences.The location of their grandchildren is among the most important attractions.Our findings suggest that family-oriented migration is more common than amenity-led migration among retired Chinese older adults,and the cost-of-living is an indicator of economic opportunities for adult children and the quality of senior care services.