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Gradient effect of road transportation on economic development in different geomorphic regions 被引量:5
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作者 YANG Xue-ting FANG Yi-ping +1 位作者 QIU Xiao-ping ZHU Fu-biao 《Journal of Mountain Science》 SCIE CSCD 2018年第1期181-197,共17页
The economic benefits of transport infrastructure investment have been widely accepted.However,the varying influence of road transport development across vertical space has rarely been discussed.Taking Sichuan provinc... The economic benefits of transport infrastructure investment have been widely accepted.However,the varying influence of road transport development across vertical space has rarely been discussed.Taking Sichuan province in China as case study area where the landform is diverse and complex,administrative counties were categorized into 4 main types:plain counties,hill counties,mountain counties,and plateau counties.Using statistical data during 2006-2014,theperformanceofeconomic development and transport construction level in the four types of counties are discussed.Subsequently,the heterogeneous effect of each grade road on economy was calculated by local regression model(GWR).The results indicate that plain counties largely surpassed the other geomorphic counties in economic development level,while the gradient gap among them was on the decline.Similarly,distribution of transport infrastructure presented a decreasing trend from the low plain counties to high plateau counties.Regional imbalances were mainly reflected in the County road and Village road.Regarding the changes of regional gaps,National&Provincial roads and County roads were constantly expanding,whereas the disparity of Village road was slowly narrowing over time.Particularly noteworthy was the non-stationary economic influence of traffic factors across vertical gradients.On average,National&Provincial roads generated higher benefits in the high elevation regions than the lowlands.In contrast,County road and Village road were found to be more effective in promoting economic development in plains.With regard to local estimates of traffic factors,coefficients in mountain counties exhibited larger fluctuation ranges than other geomorphic units.The conclusions provide a basis for government decisionmaking in a more reasonable construction arrangement of road facilities and sustainable economic development. 展开更多
关键词 Geomorphic counties Road transportation economic development Geographically weighted regression Gradient variation
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Determination of Breeding Target and Marginal Benefit Calculation of New Type of Shuxuan Beef Cattle
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作者 Wei WANG Yi SHI +9 位作者 Fang HE Jia GAN Donghui FANG Maozhong FU Xiaodong DENG Suqun ZHAN Zhimin LIAO Cheng GUI Bin WANG Jun YI 《Asian Agricultural Research》 2021年第4期13-17,共5页
[Objectives]To make targeted breeding of new type of Shuxuan beef cattle,study and determine the breeding target traits of new type of Shuxuan beef cattle.[Methods]The difference method was used to calculate the margi... [Objectives]To make targeted breeding of new type of Shuxuan beef cattle,study and determine the breeding target traits of new type of Shuxuan beef cattle.[Methods]The difference method was used to calculate the marginal benefit of each target trait,and the economic weight of the corresponding breeding target trait was obtained.[Results]The marginal benefits of weaning weight,fattening daily gain,18-month weight,carcass quality,dressing percentage,pure meat percentage,age at first calving,calving interval and stay group time were 35.86,13.76,13.05,421.96,375.55,22.58,-4.45,-27.53,and 1555.24,respectively.The relative economic weight ratio of growth traits,carcass traits,and reproductive traits was close to 4∶1∶5.Through marginal benefit analysis,the economic benefits obtained by improving carcass quality,dressing percentage and stay group time were significantly higher than other traits.[Conclusions]It is expected to provide a theoretic basis for establishing the target trait selection indicators for the new type of Shuxuan beef cattle. 展开更多
关键词 Shuxuan beef cattle Breeding target Marginal benefits economic weight
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