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• W2365762465 abstract "Data of hierarchical structure are involved in numerous social-science studies.Traditional regression analysis methods usually centralize or break the data to simplify problems when it comes to data of hierarchical structure.However,centralizing and breaking the hierarchical data would inevitably lead to ignorance of the individual effects and organizational effects.Aiming at the limitations which would manifest when dealing with data of hierarchical structure by traditional regression analysis methods,the authors adopted Hierarchical Linear Models to analyze the contribution rate of agricultural land use intensity to grain productivity in terms of different administrative levels,as well as the influence of capital investment to grain yield per hectare.Inner Mongolia Autonomous Region of China was taken as the study area,which is one of major grain-producing provinces in recent years.Based on municipal and county-level agricultural data from 12 cities and 81 counties in Inner Mongolia from 2000 to 2008,the authors calculated the intensity degree by means of an index system of the intensive use of agricultural land.The index system of the intensive use of agricultural land was built on the basis of three aspects: intensity of input,utilization and sustainability.Then four hierarchical linear models were built and each of them provided an explained variance proportion.The explained variance proportions helped explain contribution of the intensity degree at different administrative levels and agricultural capital investment to grain yield per hectare.Results showed that there are multi-level factors affecting grain productivity.The county-level agricultural land use intensity can generally explain 52.35% of the differences in grain yields,and the municipal agricultural land use intensity and agricultural capital investment explain 36.06% and 12.77% of the regression intercede,respectively.The regression intercede here represents an indirect influence of municipal level factors on grain yield per hectare through county-level factors.Besides,measuring results also showed that land use intensity at municipal and county levels has strong positive interaction.Although the difference in grain productivity depends largely on the intensive use at county levels,the municipal background effect cannot be ignored.Cities with high intensity degree will bring more capital and material support to counties under their jurisdiction,and the municipal capital investment plays an important role in improving grain productivity.However,due to the low efficiency of agricultural expenditure use at the county level,which can be represented by three group of Level-1 equation graphing with Z-focus,municipal capital investment and grain productivity are not entirely positively correlated.Impact of agricultural capital investment on grain productivity would be more significant if efficiency of expenditure use get improved." @default.
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• W2365762465 date "2010-01-01" @default.
• W2365762465 modified "2023-09-23" @default.
• W2365762465 title "A Study on the Contribution Rate of Agricultural Land Use Intensity to Grain Productivity Based on Hierarchical Linear Models: A Cose Study on the Inner Mongolia" @default.
• W2365762465 hasPublicationYear "2010" @default.
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