This article analyzes the basic experiences in the reform and development of China’s non-state-owned economy,based on a review of its distinctive features and major achievements of sustained rapid development over th...This article analyzes the basic experiences in the reform and development of China’s non-state-owned economy,based on a review of its distinctive features and major achievements of sustained rapid development over the last three decades since reform and opening began. It also identifies the problems facing further reform and development of China’s non-state-owned economy. Finally,it presents an outlook of the future of non-state-owned economic development. Looking ahead,the collectively owned economy in urban areas and townships is expected to enter a new stage of development based on transition and transformation; the individual and private economy will reach new heights of development; foreign invested enterprises will further boost economic and technological investment and raise the technological content of output.展开更多
This study utilizes multiple regression analysis and the technique for computing economies of scale to evaluate the dynamics of NRW in the AER of GWCL. Data on monthly total production, billed consumption, total reven...This study utilizes multiple regression analysis and the technique for computing economies of scale to evaluate the dynamics of NRW in the AER of GWCL. Data on monthly total production, billed consumption, total revenue, total production cost and the volume of NRW spanning the period January 2015 to June 2019, was obtained from the headquarters of AER and used for the analysis. The study showed that NRW averaged 59.3% for the period under consideration, which far exceeds the 25% threshold set by the World Bank for developing economies. It was also established that a fairly inelastic relationship exists between NRW and total revenue. Results further show that resources are not optimally used in the AER as proof of diseconomies of scale was observed.展开更多
为深入了解国内外林下经济研究现状和趋势,以2002-2022年Web of Science核心数据库为数据来源,结合Citespace和VOSviewer等软件对国内外林下经济相关文献研究数量、研究机构、研究主题及关键词进行统计分析。结果表明:林下经济累积发文...为深入了解国内外林下经济研究现状和趋势,以2002-2022年Web of Science核心数据库为数据来源,结合Citespace和VOSviewer等软件对国内外林下经济相关文献研究数量、研究机构、研究主题及关键词进行统计分析。结果表明:林下经济累积发文量和累积被引频次呈指数增长的趋势;该领域发文量学者主要分布在美国、巴西、印度、德国、中国等地;世界农林研究中心、法国农业国际合作研究发展中心、中国科学院等机构在该领域发文量最大;林下经济学是一门主要以林学、农学、环境科学、生态学、植物学、土壤学等学科交叉而成的新型学科。此外,基于关键文献和关键词分析,低速发展期(2002-2007年)考虑林木生长、作物产量的影响研究,快速增长期(2008-2017年)考虑间作模式、优良品种选育、土壤理化性质及养分、分析方法、种间关系等机制研究,急速增长期(2018-2022年)作物化学成分(及内含物)和营养价值、植物根际和土壤微生物群落活性的响应机理、遥感技术的运用以及稳定同位素的溯源技术是主要研究趋势。展开更多
文摘This article analyzes the basic experiences in the reform and development of China’s non-state-owned economy,based on a review of its distinctive features and major achievements of sustained rapid development over the last three decades since reform and opening began. It also identifies the problems facing further reform and development of China’s non-state-owned economy. Finally,it presents an outlook of the future of non-state-owned economic development. Looking ahead,the collectively owned economy in urban areas and townships is expected to enter a new stage of development based on transition and transformation; the individual and private economy will reach new heights of development; foreign invested enterprises will further boost economic and technological investment and raise the technological content of output.
文摘This study utilizes multiple regression analysis and the technique for computing economies of scale to evaluate the dynamics of NRW in the AER of GWCL. Data on monthly total production, billed consumption, total revenue, total production cost and the volume of NRW spanning the period January 2015 to June 2019, was obtained from the headquarters of AER and used for the analysis. The study showed that NRW averaged 59.3% for the period under consideration, which far exceeds the 25% threshold set by the World Bank for developing economies. It was also established that a fairly inelastic relationship exists between NRW and total revenue. Results further show that resources are not optimally used in the AER as proof of diseconomies of scale was observed.
文摘为深入了解国内外林下经济研究现状和趋势,以2002-2022年Web of Science核心数据库为数据来源,结合Citespace和VOSviewer等软件对国内外林下经济相关文献研究数量、研究机构、研究主题及关键词进行统计分析。结果表明:林下经济累积发文量和累积被引频次呈指数增长的趋势;该领域发文量学者主要分布在美国、巴西、印度、德国、中国等地;世界农林研究中心、法国农业国际合作研究发展中心、中国科学院等机构在该领域发文量最大;林下经济学是一门主要以林学、农学、环境科学、生态学、植物学、土壤学等学科交叉而成的新型学科。此外,基于关键文献和关键词分析,低速发展期(2002-2007年)考虑林木生长、作物产量的影响研究,快速增长期(2008-2017年)考虑间作模式、优良品种选育、土壤理化性质及养分、分析方法、种间关系等机制研究,急速增长期(2018-2022年)作物化学成分(及内含物)和营养价值、植物根际和土壤微生物群落活性的响应机理、遥感技术的运用以及稳定同位素的溯源技术是主要研究趋势。
文摘数据驱动的多元化发展导致数据异构性增强、维度提升和特征量规模扩大,给贸易经济分析带来更大挑战。为了提高贸易经济分析的科学性,采用非平行超平面支持向量机算法(support vector machine,SVM)对贸易经济进行预测分析。首先,根据贸易经济影响因素进行主成分分析,获取影响贸易经济的关键特征,并对特征进行量化和去噪处理。然后,采用广义特征值最接近支持向量机(proximal support vector machine via generalized eigenvalues,GEPSVM)进行贸易经济预测分类。根据预测指标要求,选择核函数GEPSVM算法(KGEPSVM算法)对分类的非平行超平面求解,通过类别划分函数获得经济预测结果。实证分析表明,对比常用的非平行超平面支持向量机算法,所提算法的贸易经济预测性能更优,而且在常用贸易经济指标的预测中,表现出较高预测精度和稳定性。
