Economic inequality and poverty are problemsexperiencedbymanycountries.Considerable attention has been paid to these issues in recent times.Studies on economic inequality have been characterized by geographical dispar...Economic inequality and poverty are problemsexperiencedbymanycountries.Considerable attention has been paid to these issues in recent times.Studies on economic inequality have been characterized by geographical disparities and a lack of consideration of functional orientation.As one of the most typical and featured mountainous areas in Western China,Tibet demonstrates both the necessity and urgency of conducting studies on income inequality and growth issues.This paper proposes to address these problems by exploring the temporal and geographical variations in income inequality in Tibet,thereby revealing the differences in functional zones.Spatial Markov chains and panel regression analysis were applied to identify the spatial-temporal dynamics of income disparity.The results of this study show that(1)the overall income inequality in Tibet shows an expanding trend in the period 2005–2010 and a converging trend in the period 2010–2015,and there is a large disparity in income inequality between functional zones;(2)Tibetan farmers and herdsmen may face great difficulties in achieving substantial growth in the near future;(3)frontier counties,cultivated land,and grassland areas have negative impacts on income growth,while cordyceps counties,GDP per capita,agricultural product proportion,transfer payments,the ratio of nonagricultural employment to the total employment,the length of the average schooling year,and the slaughter rate of cattle and sheep have positive impacts;and(4)functional orientation has made great differences to income inequality and its mechanism.In light of these results,evidence-based policies have been formulated to boost average household income and narrow income inequality in Tibet.展开更多
In this paper,using 1054 counties data of 15 provinces in Midwestern China from 2000 to 2007,we analyze the impact of transfer payments on urban-rural income gap.By choosing Develop-the-west Strategy that is a quasi-n...In this paper,using 1054 counties data of 15 provinces in Midwestern China from 2000 to 2007,we analyze the impact of transfer payments on urban-rural income gap.By choosing Develop-the-west Strategy that is a quasi-natural experiment and using regression of discontinuity of location,the result shows that local government in western China pays more transfer payments than in the central region,however,the income gap between urban-rural residents in the western region increases by 20%.The widening effects are robust in different bandwidth situation such as distance or latitude and longitude.Meanwhile,the mechanism analyses find that urban residents benefit more than rural residents from transfer payments.Therefore,we believe that transfer payments should be more targeted to invest in rural areas,at the same time,the central government should rationalize the structure of transfer payments as soon as possible,and correct the urban bias and structure bias of local fiscal expenditure.展开更多
基金financially supported by the Key Project of the National Natural Science Foundation of China(41630644)the China Postdoctoral Science Foundation(2020M680660)+1 种基金the Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK0401)the Strategic Priority Research Program of Chinese Academy of Sciences(XDA20020301)。
文摘Economic inequality and poverty are problemsexperiencedbymanycountries.Considerable attention has been paid to these issues in recent times.Studies on economic inequality have been characterized by geographical disparities and a lack of consideration of functional orientation.As one of the most typical and featured mountainous areas in Western China,Tibet demonstrates both the necessity and urgency of conducting studies on income inequality and growth issues.This paper proposes to address these problems by exploring the temporal and geographical variations in income inequality in Tibet,thereby revealing the differences in functional zones.Spatial Markov chains and panel regression analysis were applied to identify the spatial-temporal dynamics of income disparity.The results of this study show that(1)the overall income inequality in Tibet shows an expanding trend in the period 2005–2010 and a converging trend in the period 2010–2015,and there is a large disparity in income inequality between functional zones;(2)Tibetan farmers and herdsmen may face great difficulties in achieving substantial growth in the near future;(3)frontier counties,cultivated land,and grassland areas have negative impacts on income growth,while cordyceps counties,GDP per capita,agricultural product proportion,transfer payments,the ratio of nonagricultural employment to the total employment,the length of the average schooling year,and the slaughter rate of cattle and sheep have positive impacts;and(4)functional orientation has made great differences to income inequality and its mechanism.In light of these results,evidence-based policies have been formulated to boost average household income and narrow income inequality in Tibet.
文摘In this paper,using 1054 counties data of 15 provinces in Midwestern China from 2000 to 2007,we analyze the impact of transfer payments on urban-rural income gap.By choosing Develop-the-west Strategy that is a quasi-natural experiment and using regression of discontinuity of location,the result shows that local government in western China pays more transfer payments than in the central region,however,the income gap between urban-rural residents in the western region increases by 20%.The widening effects are robust in different bandwidth situation such as distance or latitude and longitude.Meanwhile,the mechanism analyses find that urban residents benefit more than rural residents from transfer payments.Therefore,we believe that transfer payments should be more targeted to invest in rural areas,at the same time,the central government should rationalize the structure of transfer payments as soon as possible,and correct the urban bias and structure bias of local fiscal expenditure.
