scholarly journals Spatiotemporal Assessment of Land Marketization and Its Driving Forces for Sustainable Urban–Rural Development in Shaanxi Province in China

2021 ◽  
Vol 13 (14) ◽  
pp. 7755
Author(s):  
Xindong Wei ◽  
Ning Wang ◽  
Pingping Luo ◽  
Jie Yang ◽  
Jian Zhang ◽  
...  

In recent years, market-oriented allocation of land has been promoted to support rural revitalization and urban–rural integrated development. To follow the path of sustainable development, it is necessary to improve the efficiency of resource utilization and to rationally allocate and use resources on the premise of ensuring the sustainable use of resources. This study aims to measure the degree of land marketization in Shaanxi Province, China during the period 2008–2019 and analyze its driving forces. The methods used include Gray Relation Analysis and Hot Spot Analysis. The MK trend method was used to analyze the average area of land acquired through Bidding–Listing–Auction (B-L-A), protocol, and allocation methods. The results show that the land marketization level in Shaanxi declined from 2008 to 2014 and fluctuated upwards from 2014 to 2019. In addition, B-L-A transactions increased across the province. There was little spatial heterogeneity of land marketization, but southern Shaanxi had less land marketization than the other key areas. Urbanization, non-agricultural output, and foreign direct investment were found to be the main driving factors of land marketization, while the influence of fixed asset investment and per capita disposable income declined each year. Based on these findings, we suggest that there is a need for land management reforms and urbanization efforts to encourage land marketization in southern Shaanxi. Further, we suggest that northern Shaanxi would benefit from optimizing the land use structure and focusing on the energy land market. This study also provides theoretical support for realizing the reform of the marketization of national land elements, the healthy operation of urban land marketization, and sustainable urban and rural development.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Cui-hong An ◽  
Zhi-guo Liu ◽  
Shou-min Nie ◽  
Yang-xin Sun ◽  
Suo-ping Fan ◽  
...  

AbstractIn the present study, surveys of case numbers, constituent ratios, conventional biotyping, and multilocus sequence typing (MLST) were applied to characterize the incidence rate and epidemiological characteristics of human brucellosis in Shaanxi Province, China. A total of 12,215 human brucellosis cases were reported during 2008–2020, for an annual average incidence rate of 2.48/100,000. The most significant change was that the county numbers of reported cases increased from 36 in 2008 to 84 in 2020, with a geographic expansion trend from northern Shaanxi to Guanzhong, and southern Shaanxi regions; the incidence rate declined in previous epidemic northern Shaanxi regions while increasing each year in Guanzhong and southern Shaanxi regions such as Hancheng and Xianyang. The increased incidence was closely related to the development of large-scale small ruminants (goats and sheep) farms in Guanzhong and some southern Shaanxi regions. Another significant feature was that student cases (n = 261) were ranked second among all occupations, accounting for 2.14% of the total number of cases, with the majority due to drinking unsterilized goat milk. Three Brucella species were detected (B. melitensis (bv. 1, 2, 3 and variant), B. abortus bv. 3/6, and B. suis bv. 1) and were mainly distributed in the northern Shaanxi and Guanzhong regions. Three known STs (ST8, ST2, and ST14) were identified based on MLST analysis. The characteristics that had not changed were that B. melitensis strains belonging to the ST8 population were the dominant species and were observed in all nine regions during the examined periods. Strengthened human and animal brucellosis surveillance and restriction of the transfer of infected sheep (goats) as well as students avoiding drinking raw milk are suggested as optimal control strategies.


2021 ◽  
Vol 13 (4) ◽  
pp. 1983
Author(s):  
Jingkun Niu ◽  
Haifeng Du

The 14th Five-Year Plan of China proposes promoting urbanization construction, with counties as an important carrier. In order to evaluate the urbanization development level of counties in Western China, this study established an index system of population, land, and industry, constructed the coupling coordination model, selected Shaanxi Province as a representative case, and evaluated the comprehensive development level and its coordination degree of urbanization at the county level. The results show that: (1) there are two stages of urbanization in Western counties, namely “increment” and “quality improvement”; (2) county urbanization in Western China radiates from central cities, presenting the characteristics of a “core-edge” circle structure. Northern Shaanxi has significant spatial difference characteristics, the coordination and development level of the Guanzhong area are both in the lead, and Southern Shaanxi is still in the stage of weak level coordination; (3) unlike urbanization in metropolises, urbanization in Western counties is mainly driven by industrial agglomeration instead of land urbanization. However, population outflow is an obstacle to the urbanization of Western counties. The evaluation of the coordinated development of county urbanization can provide a theoretical basis and practical path for enhancing public service functions in counties, guiding urban–rural harmonious development.


2021 ◽  
Author(s):  
Han Zhang ◽  
Jungang Luo ◽  
Jingyan Wu ◽  
Mengjie Yu

Abstract Flash floods show strong regional differentiation in spatial–temporal distribution and driving forces, thereby hindering their effective prevention and control. This study analyzed the spatiotemporal characteristics of flash floods in Shaanxi Province, China, differentiated among the northern Shaanxi (NS), Guanzhong (GZ), and southern Shaanxi (SS) regions based on the Mann–Kendall, Theil–Sen Median, and standard deviation ellipse methods. The main factors driving disasters and their interactions in each region were then identified within the three categories of precipitation factor (PPF), surface environment factor, and human activity factor (HAF) based on a geographical detector. Finally, the differences in flash flood characteristics among the NS, GZ, and SS regions were analyzed. The results showed that flash floods in Shaanxi Province are greatly affected by the PPF and the HAF, although the spatial–temporal characteristics and disaster-causing factors were significantly different in each region. The regions were ranked according to the number and growth trends of flash floods as follows: SS > GZ > NS. Furthermore, flash floods were affected by multiple factors, with the interaction between factors acting as a driving force of flash floods. The results of this study can provide a reference for the management of flash floods under regional differentiation.


Pravovedenie ◽  
2020 ◽  
Vol 64 (1) ◽  
pp. 15-22
Author(s):  
Saša Srećković ◽  

The article states that despite the creation of the UNESCO fund aimed at International assistance by means of which State parties to the Convention for Safeguarding of Intangible Cultural Heritage, inter alia, can address problems arising from catastrophes and emergencies. However, the devastating effects of the pandemic on heritage are yet to be expected. Due to the known recent circumstances, without mobility of people and their mutual contacts, and without physical access to the built heritage and museums, there will be no income for local people living in their surroundings. Another problem is related to the intangible expressions of heritage due to inevitable economic turbulences subsequent to the pandemic, and even due to the recent political turmoil caused by various related factors, such as the behavior demonstrated by different governments while facing the crisis and consequent revolts in many communities worldwide. While clear solutions for affected heritage following the crisis are still not on the horizon, we may assume that in the near future there will be an increase of interest in environmental studies. Many will reflect upon the sustainable use of resources and their relevance for heritage (such as agrarian heritage, particularly in regard to food security; traditional medicine or cultural rights and intellectual property in the same context). While there is no doubt that digital tools for reviewing (tangible) heritage will only progress over time, the question is to what extent will living experiences of heritage be affordable to people, at least in the forthcoming period. An adequate response to a global disaster will certainly integrate heritage into policies such as territorial urban/rural planning and various intersectoral activities, and examples already exist in projects funded and supported by the European Union. Despite the weakening of available resources as a result of the pandemic, heritage institutions should also increasingly allow for more democratic inclusion of communities into the issues of inventorying and safeguarding heritage, through mechanisms such as participatory mapping and the like.


2019 ◽  
Vol 29 (5) ◽  
pp. 779-790 ◽  
Author(s):  
Xuefeng Yuan ◽  
Jichang Han ◽  
Yajing Shao ◽  
Yuheng Li ◽  
Yongsheng Wang

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1198 ◽  
Author(s):  
Jinping Wang ◽  
Jinzhu Ma ◽  
Afton Clarke-Sather ◽  
Jiansheng Qu

Water shortages limit agricultural production in the world’s arid and semi-arid regions. The Northern region of China’s Shaanxi Province, in the Loess Plateau, is a good example. Raising the water productivity of rainfed grain production in this region is essential to increase food production and reduce poverty, thereby improving food security. To support efforts to increase crop water productivity (CWP), we accounted for limitations of most existing studies (experimental studies of specific crops or hydrological modeling approaches) by using actual field data derived from statistical reports of cropping patterns. We estimated the CWPs of nine primary crops grown in four counties in Northern Shaanxi from 1994 to 2008 by combining statistics on the cultivated area and yields with detailed estimates of evapotranspiration based on daily meteorological data. We further calculated both the caloric CWP of water (CCWP) and the CWP of productive water (i.e., water used for transpiration). We found that regional CWP averaged 6.333 kg mm–1 ha–1, the CCWP was 17,683.81 cal mm–1 ha–1, the CWP of productive green water was 8.837 kg mm–1 ha–1, and the CCWP of productive green water was 24,769.07 cal mm–1 ha–1. Corn, sorghum, and buckwheat had the highest CWP, and although potatoes had the largest planted area and relatively high CWP, they had a low CCWP.


Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 495
Author(s):  
Daizhong Tang ◽  
Mengyuan Mao ◽  
Jiangang Shi ◽  
Wenwen Hua

This paper conducts an analytical study on the urban-rural coordinated development (URCD) in the Yangtze River Delta urban agglomeration (YRDUA), and uses data from 2000–2015 of 27 central cities to study the spatial and temporal evolution patterns of URCD and to discover the influencing factors and driving forces behind it through PCA, ESDA and spatial regression models. It reveals that URCD of the YRDUA shows an obvious club convergence phenomenon during the research duration. The regions with high-level URCD gather mainly in the central part of the urban agglomeration, while the remaining regions mostly have low-level URCD, reflecting the regional aggregation phenomenon of spatial divergence. At the same time, we split URCD into efficiency and equity: urban-rural efficient development (URED) also exhibits similar spatiotemporal evolution patterns, but the patterns of urban-rural balanced development (URBD) show some variability. Finally, by analyzing the driving forces in major years during 2000–2015, it can be concluded that: (i) In recent years, influencing factors such as government financial input and consumption no longer play the main driving role. (ii) Influencing factors such as industrialization degree, fixed asset investment and foreign investment even limit URCD in some years. The above results also show that the government should redesign at the system level to give full play to the contributing factors depending on the actual state of development in different regions and promote the coordinated development of urban and rural areas. The results of this study show that the idea of measuring URCD from two dimensions of efficiency and equity is practical and feasible, and the spatial econometric model can reveal the spatial distribution heterogeneity and time evolution characteristics of regional development, which can provide useful insights for urban-rural integration development of other countries and regions.


Author(s):  
Jun Zhang ◽  
Xiaodie Yuan ◽  
Xueping Tan ◽  
Xue Zhang

As one of the most important methods for limiting urban sprawl, the accurate delineation of the urban–rural boundary not only promotes the intensive use of urban resources, but also helps to alleviate the urban issues caused by urban sprawl, realizing the intensive and healthy development of urban cities. Previous studies on delineating urban–rural boundaries were only based on the level of urban and rural development reflected by night-time light (NTL) data, ignoring the differences in the spatial development between urban and rural areas; so, the comprehensive consideration of NTL and point of interest (POI) data can help improve the accuracy of urban–rural boundary delineation. In this study, the NTL and POI data were fused using wavelet transform, and then the urban–rural boundary before and after data fusion was delineated by multiresolution segmentation. Finally, the delineation results were verified. The verification result shows that the accuracy of delineating the urban–rural boundary using only NTL data is 84.20%, and the Kappa value is 0.6549; the accuracy using the fusion of NTL and POI data on the basis of wavelet transform is 93.2%, and the Kappa value is 0.8132. Therefore, we concluded that the proposed method of using wavelet transform to fuse NTL and POI data considers the differences between urban and rural development, which significantly improves the accuracy of the delineation of urban–rural boundaries. Accurate delineation of urban–rural boundaries is helpful for optimizing internal spatial structure in both urban and rural areas, alleviating environmental problems resulting from urban development, assisting the formulation of development policies for urban and rural fringes, and promoting the intensive and healthy development of urban areas.


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