An Analysis Of The Effectiveness And Spatial Correlation Of The Poverty Alleviation Of Forest Tourism In Hebei Province

In this paper,the poor counties in Hebei Province were taken as the research object.Using a sample survey,we conducted on 2015 poor households who mainly rely on forest tourism to get rid of poverty,with a sampling ratio of 27.4%.The evaluation of forest tourism poverty alleviation efficiency requires comprehensive and representative indicators.Therefore,we constructed a multi-level(target level,index level,criterion level,element level)monitoring and evaluation index system.Then selected the number of rural employees at the end of the year,the total investment in fixed assets of the whole society,local public financial budget revenue,highway mileage,and the number of tourist attractions as input indicators.The regional GDP,the total population at the end of the year,the per capita disposable income of urban residents and the per capita disposable income of rural residents are used as output indicators.DEA(Data Envelopment Analysis)is to digitize the DMU(Decision Making Unit),and then analyze the effectiveness of each unit using a mathematical method.The Malmquist productivity index is used to analyze the dynamic changes of tourism poverty alleviation efficiency.The global autocorrelation Moran index I is used to analyze whether the selected indicators are spatially related.The local Moran index Ii is used to test whether there is variable aggregation in local areas.the result indicates that:(1)The overall poverty alleviation efficiency of forest tourism in poverty-stricken counties in Hebei Province from 2013 to 2017 was at a relatively good level.All in all,during the study period,there are still poor counties where both scale efficiency and pure technical efficiency are ineffective,which means that a small number of poor counties still have problems such as insufficient input resources.(2)The overall productivity index from 2013 to 2017 shows an upward trend.Insufficient technological improvement is the main limiting factor for forest tourism precision poverty alleviation in poor counties.Strengthening the allocation and utilization of resource elements can further improve the efficiency of forest tourism poverty alleviation.(3)There is a spatial positive correlation between the poverty alleviation efficiency of forest tourism in 2013 and 2014.The poverty alleviation efficiency of forest tourism in 2015,2016 and 2017 is not spatially correlated,showing a random distribution characteristic.Local spatial autocorrelation analysis showed that the local spatial autocorrelation of Weichang Manchu Mongolian Autonomous County,Guyuan County,Longhua County was positive in 2013 and 2014,and the local spatial autocorrelation of Fucheng County was negative in 2015 and 2016.