Shibadong Village, the birthplace of the “targeted poverty alleviation”campaign, has set a model for China’s poverty alleviation and elimination efforts. Based on data obtained from long-term field research, this p...Shibadong Village, the birthplace of the “targeted poverty alleviation”campaign, has set a model for China’s poverty alleviation and elimination efforts. Based on data obtained from long-term field research, this paper illustrates Shibadong’s journey out of poverty by outlining its main practices of targeted poverty alleviation, and summarizing the learnings that are worth sharing. Guided by the “targeted poverty alleviation” strategy,measures were taken to unleash the endogenous development force of the village by precisely identifying targets, developing targeted rural industries, implementing specific relief plans tailored to each household, and bringing cohesion among different social forces.Thanks to these efforts, the village has undergone tremendous changes in many areas such as civility level, living conditions, industrial development, social governance, infrastructure and public services. This paper argues that Shibadong’s experience has universal applicability for poverty elimination. We believe that by building an enabling government,an effective market and an organic society, and giving full play to the synergistic effects of the three, poor villages can break out of the dilemma caused by the “triple failures” and achieve modern rural governance and development.展开更多
Using China's two-digit manufacturing sectors as samples, this paper first analyzes China's output structure optimization objectives and energy conservation and emissions abatement potentials in 2015, then exa...Using China's two-digit manufacturing sectors as samples, this paper first analyzes China's output structure optimization objectives and energy conservation and emissions abatement potentials in 2015, then examines various factor inputs' matching, and estimates their capacity utilization status, focusing on capital stock factor. Results of our study suggest that:(1) China's manufacturing output structure has great potentials of optimization to reduce energy intensity and carbon intensity by 18.08% and 17.42% respectively over the original values;(2) to reduce factor mismatch, various supporting input factors need to be introduced after manufacturing output structure optimization. The level of capital stock, in particular, requires a substantial change;(3) China's manufacturing capacity utilization(56.14%) in 2015 was far below its average level(73.27%) in the mid and late stage of the 11 th Five-Year Plan period(2008-2010). The low capacity utilization was attributable to economic slowdown and investment inertia. After input factor matching, capacity utilization may rise to the latter level.展开更多
文摘Shibadong Village, the birthplace of the “targeted poverty alleviation”campaign, has set a model for China’s poverty alleviation and elimination efforts. Based on data obtained from long-term field research, this paper illustrates Shibadong’s journey out of poverty by outlining its main practices of targeted poverty alleviation, and summarizing the learnings that are worth sharing. Guided by the “targeted poverty alleviation” strategy,measures were taken to unleash the endogenous development force of the village by precisely identifying targets, developing targeted rural industries, implementing specific relief plans tailored to each household, and bringing cohesion among different social forces.Thanks to these efforts, the village has undergone tremendous changes in many areas such as civility level, living conditions, industrial development, social governance, infrastructure and public services. This paper argues that Shibadong’s experience has universal applicability for poverty elimination. We believe that by building an enabling government,an effective market and an organic society, and giving full play to the synergistic effects of the three, poor villages can break out of the dilemma caused by the “triple failures” and achieve modern rural governance and development.
基金CASS Innovation Program “Application of Big Data Technology in Economic Forecasting and Early Warning,” National Natural Science Foundation of China(NSFC)Policy Research Key Program(71742001)NSFC Youth Program(71703065)the Ministry of Education Cultural and Social Sciences Fund Youth Program(17YJC790195)
文摘Using China's two-digit manufacturing sectors as samples, this paper first analyzes China's output structure optimization objectives and energy conservation and emissions abatement potentials in 2015, then examines various factor inputs' matching, and estimates their capacity utilization status, focusing on capital stock factor. Results of our study suggest that:(1) China's manufacturing output structure has great potentials of optimization to reduce energy intensity and carbon intensity by 18.08% and 17.42% respectively over the original values;(2) to reduce factor mismatch, various supporting input factors need to be introduced after manufacturing output structure optimization. The level of capital stock, in particular, requires a substantial change;(3) China's manufacturing capacity utilization(56.14%) in 2015 was far below its average level(73.27%) in the mid and late stage of the 11 th Five-Year Plan period(2008-2010). The low capacity utilization was attributable to economic slowdown and investment inertia. After input factor matching, capacity utilization may rise to the latter level.
