Research Progress and Prospect of County-wide Finance in China between 1991 and 2013 Based on Bibliometric Method

In order to visually and comprehensively grasp scientific research progress of the county-wide finance in China,and explore new breakthrough point of county-wide finance studies,this paper took China National Knowledge Infrastructure( CNKI) database as research platform and made a bibliometrical study of literature indexed in CNKI between 1991 and 2013 by advanced search method. Results indicate that relevant researches take on the trend of firstly increasing then decreasing and finally steady; research hot spots mainly focus on county-wide finance and county-wide economy,county-wide inclusive finance,and county-wide finance exclusion. Based on literature review,it found subject research of county-wide finance and county-wide economic issue has become a relatively mature issue. The extension research of countywide finance exclusion and inclusive finance is devoted to remove finance exclusion. This research is a blind spot in this field and may become a breakthrough point of stimulating re-growth of county-wide finance researches.

Adjustment of Land Use Structure Based on County-wide Economic Development: A Case Study of Changfeng County

On the basis of survey of current land use situation in Changfeng County,this paper analyzed land use structure,trend and environment of structural adjustment. Besides,it explored county-wide land use structure mode,namely, " division + indicator + policy". Through reasonable distribution,it is expected to build proper land use structure framework,avoid passive situation of relying on policies simply,and bring into play stability keeping function of land use structure,so as to promote county-wide economic development,and bring into play countywide lever function of rural transition areas.

Research on Stimulating the County-wide Economic Vitality of Jingzhou City

Based on the actual situation of Jingzhou City in Hubei Province,this article deeply explores the advantages in stimulating the vitality of the county-wide economy,the opportunities in development,the shortcomings,and the selection of development paths,aiming to further promote the county-wide economy of Jingzhou City.The transition from unbalanced and inadequate development to high-quality development has promoted the overall vitality and leapfrog development of the county-wide economy of Jingzhou City.

Effect of Soil Sampling Density on Detected Spatial Variability of Soil Organic Carbon in a Red Soil Region of China

Spatial variability of soil organic carbon (SOC) of different land use patterns and soil types was examined in a county-wide red soil region of South China,using six sampling densities,14,34,68,130,255,and 525 samples designed by the method of grid sampling in 6 different grid sizes,labeled as D14,D34,D68,D130,D255,and D525,respectively.The results showed that the coefficients of variation (CVs) of SOC decreased gradually from 62.8% to 47.4% with the increase in soil sampling densities.The SOC CVs in the paddy field change slightly from 30.8% to 28.7%,while those of the dry farmland and forest land decreased remarkably from 58.1% to 48.7% and from 99.3% to 64.4%,respectively.The SOC CVs of the paddy soil change slightly,while those of red soil decreased remarkably from 82.8% to 63.9%.About 604,500,and 353 (P < 0.05) samples would be needed a number of years later if the SOC change was supposedly 1.52 g kg-1,based on the CVs of SOC acquired from the present sampling densities of D14,D68,and D525,respectively.Moreover,based on the same SOC change and the present time CVs at D255,the ratio of samples needed for paddy field,dry farmland,and forest land should be 1:0.81:3.33,while the actual corresponding ratio in an equal interval grid sampling was 1:0.74:0.46.These indicated that the sampling density had important effect on the detection of SOC variability in the county-wide region,the equal interval grid sampling was not efficient enough,and the respective CV of each land use or soil type should be fully considered when determining the sampling number in the future.