China has experienced rapid rural transformation in the past four decades.Accompanying the rapid transformation is a significant rise in rural household income and a substantial fall in rural poverty.This paper examin...China has experienced rapid rural transformation in the past four decades.Accompanying the rapid transformation is a significant rise in rural household income and a substantial fall in rural poverty.This paper examines the evolutions of and the relationships between rural transformation(high-value agriculture and rural non-farm employment)and its outcomes(per capita rural income and rural poverty incidence)using provincial-level data.The results show that 31 provinces/autonomous regions/municipalities have undergone significant rural transformation,but the level and speed of rural transformation differed considerably.Moreover,an increased level of rural transformation is often associated with higher per capita rural income and reduced rural poverty incidence.Notably,a category of provincial rural transformation based on high-value agriculture and rural non-farm employment is also analyzed.We further discuss the likely impacts of institutions,policies,and investments(IPIs)on rural transformation and conclude with policy implications.展开更多
Increasing rural household income and reducing poverty rank among Indonesia’s top development priorities.Promoting rural transformation is one strategic policy framework to achieve these goals.In the last three decad...Increasing rural household income and reducing poverty rank among Indonesia’s top development priorities.Promoting rural transformation is one strategic policy framework to achieve these goals.In the last three decades,agricultural production has shifted from low-value food crops to high-value commodities,such as horticulture,estate crops,and livestock.Previous studies have analyzed rural transformation in Indonesia at the national level,but information on the magnitudes of impact across regions remains scarce.This study aims to analyze the changes in rural transformation at a regional level in the past two decades.The research utilizes secondary data from Statistics Indonesia(BPS),covering 34 provinces from 2000 to 2020,analyzed using descriptive and panel data regression analyses.The results show an increasing trend in the share of high-value agriculture(RT_(1))and rural non-farm employment(RT_(2)).Both RT_(1)and RT_(2)are positively associated with the growth of rural household income and a lower poverty rate.However,the speed of structural transformation(ST),RT_(1),RT_(2),rural income growth,and poverty reduction vary across regions.This research implies that improving rural income and reducing poverty should be done by integrating policies,i.e.,promoting highvalue agriculture and expanding rural non-farm employment.Particular attention should also be given to provinces with slow growth in ST,RT_(1),RT_(2),and rural household income.展开更多
Human-environment relationship is a focus of academic researches and an understanding of the rela- tionship is important for making effective policies and decisions. In this study, based on rural household survey data...Human-environment relationship is a focus of academic researches and an understanding of the rela- tionship is important for making effective policies and decisions. In this study, based on rural household survey data of Taibus Banner, Duolun county and Zhengxiangbai Banner in the Inner Mongolia autonomous region of China, we identified the impact of livelihood diversification on ecosystems in these agro-pastoral areas by using the ecological footprint theory and methodology together with the one-way analysis of variance （ANOVA） and correlation analysis methods. In 2011, the total ecological footprint of consumption （EFC） was 0.665 g hm2, and the total ecological footprint of production （EFP） was 2.045 g hm2, which was more than three times the EFC. The ecological footprint of arable land consumption （EFAC） accounted for a large proportion of the EFC, and the ecological footprint of grassland production （EFGP） occupied a large proportion of the EFP. Both the ecological footprint of grassland consumption （EFGC） and EFGP had a significant positive correlation with the income, indicating that income was mainly depended on livestock production and the households with higher incomes consumed more livestock prod- ucts. The full-time farming households （FTFHs） had the highest EFP, ecological footprint of arable land production （EFAP）, EFGP and EFGC, followed by the part-time farming households （PTFHs） and non-farming households （NFHs）, which indicated that part-time farming and non-farming employment reduced the occupancy and con- sumption of rural households on local ecosystems and natural resources to some extent. When farming households engaged in livestock rearing, both the EFAP and EFAC became smaller, while the EFP, EFC, EFGC and EFGP increased significantly. The differences in ecological footprints among different household groups should be taken into account when making ecosystem conservation policies. Encouraging the laborers who have the advantages of participating in non-farming employment to move out of the rural areas and increasing the diversification of liveli- hoods of rural households are important in reducing the environmental pressures and improving the welfare of households in the study area. Moreover, grassland should be utilized more effectively in the future.展开更多
With the advan,cement.of urbanization,the financial system in the rural areas calls for reform.The country’s financial sector has long been dominated by the state banks,which have understandably focused their busines...With the advan,cement.of urbanization,the financial system in the rural areas calls for reform.The country’s financial sector has long been dominated by the state banks,which have understandably focused their businesses on profitable clients in major cities.However,the government has vowed to boost financial services for farmers,agriculture and the rural areas.It can be expected that related policies will be further expanded to tilt the financial sector so it meets the numerous and growing financing needs in rural areas.Statistics show that by the end of2012 the rural areas had 11.57 million of company settlement accounts。展开更多
基金The authors acknowledge the financial support from the Australian Centre for International Agricultural Research(ADP/2017/024)the National Natural Science Foundation of China(71934003)+1 种基金the National Social Science Fundof China(19ZDA002 and 22CJL003)the International Fund for Agricultural Development(2000000866).
文摘China has experienced rapid rural transformation in the past four decades.Accompanying the rapid transformation is a significant rise in rural household income and a substantial fall in rural poverty.This paper examines the evolutions of and the relationships between rural transformation(high-value agriculture and rural non-farm employment)and its outcomes(per capita rural income and rural poverty incidence)using provincial-level data.The results show that 31 provinces/autonomous regions/municipalities have undergone significant rural transformation,but the level and speed of rural transformation differed considerably.Moreover,an increased level of rural transformation is often associated with higher per capita rural income and reduced rural poverty incidence.Notably,a category of provincial rural transformation based on high-value agriculture and rural non-farm employment is also analyzed.We further discuss the likely impacts of institutions,policies,and investments(IPIs)on rural transformation and conclude with policy implications.
基金The authors thank the Australian Center for International Agricultural Research for financial support(ADP-2017024).
文摘Increasing rural household income and reducing poverty rank among Indonesia’s top development priorities.Promoting rural transformation is one strategic policy framework to achieve these goals.In the last three decades,agricultural production has shifted from low-value food crops to high-value commodities,such as horticulture,estate crops,and livestock.Previous studies have analyzed rural transformation in Indonesia at the national level,but information on the magnitudes of impact across regions remains scarce.This study aims to analyze the changes in rural transformation at a regional level in the past two decades.The research utilizes secondary data from Statistics Indonesia(BPS),covering 34 provinces from 2000 to 2020,analyzed using descriptive and panel data regression analyses.The results show an increasing trend in the share of high-value agriculture(RT_(1))and rural non-farm employment(RT_(2)).Both RT_(1)and RT_(2)are positively associated with the growth of rural household income and a lower poverty rate.However,the speed of structural transformation(ST),RT_(1),RT_(2),rural income growth,and poverty reduction vary across regions.This research implies that improving rural income and reducing poverty should be done by integrating policies,i.e.,promoting highvalue agriculture and expanding rural non-farm employment.Particular attention should also be given to provinces with slow growth in ST,RT_(1),RT_(2),and rural household income.
基金supported by the National Natural Science Foundation of China (41161140352, 41471092)
文摘Human-environment relationship is a focus of academic researches and an understanding of the rela- tionship is important for making effective policies and decisions. In this study, based on rural household survey data of Taibus Banner, Duolun county and Zhengxiangbai Banner in the Inner Mongolia autonomous region of China, we identified the impact of livelihood diversification on ecosystems in these agro-pastoral areas by using the ecological footprint theory and methodology together with the one-way analysis of variance （ANOVA） and correlation analysis methods. In 2011, the total ecological footprint of consumption （EFC） was 0.665 g hm2, and the total ecological footprint of production （EFP） was 2.045 g hm2, which was more than three times the EFC. The ecological footprint of arable land consumption （EFAC） accounted for a large proportion of the EFC, and the ecological footprint of grassland production （EFGP） occupied a large proportion of the EFP. Both the ecological footprint of grassland consumption （EFGC） and EFGP had a significant positive correlation with the income, indicating that income was mainly depended on livestock production and the households with higher incomes consumed more livestock prod- ucts. The full-time farming households （FTFHs） had the highest EFP, ecological footprint of arable land production （EFAP）, EFGP and EFGC, followed by the part-time farming households （PTFHs） and non-farming households （NFHs）, which indicated that part-time farming and non-farming employment reduced the occupancy and con- sumption of rural households on local ecosystems and natural resources to some extent. When farming households engaged in livestock rearing, both the EFAP and EFAC became smaller, while the EFP, EFC, EFGC and EFGP increased significantly. The differences in ecological footprints among different household groups should be taken into account when making ecosystem conservation policies. Encouraging the laborers who have the advantages of participating in non-farming employment to move out of the rural areas and increasing the diversification of liveli- hoods of rural households are important in reducing the environmental pressures and improving the welfare of households in the study area. Moreover, grassland should be utilized more effectively in the future.
文摘With the advan,cement.of urbanization,the financial system in the rural areas calls for reform.The country’s financial sector has long been dominated by the state banks,which have understandably focused their businesses on profitable clients in major cities.However,the government has vowed to boost financial services for farmers,agriculture and the rural areas.It can be expected that related policies will be further expanded to tilt the financial sector so it meets the numerous and growing financing needs in rural areas.Statistics show that by the end of2012 the rural areas had 11.57 million of company settlement accounts。
