The Financing Efficiency of New Material Industry in China:Evidence Based on the DEA Method

【中文摘要】新材料产业是七大战略性新兴产业之一，它的发展推动着其他战略性新兴产业的进步，有关研究也日益增多。本文基于新材料产业的发展现状，采用数据包络分析方法（data envelopment analysis，DEA)，从整体、具体和规模报酬三方面对中国新材料产业的融资效率进行实证检验，发现2011〜2013年新材料产业融资效率呈下降趋势，规模报酬递减的企业持续增加。最后探讨了新材料产业的融资效率存在的问题及其原因。 【Abstract】 New material industry is one of the seven strategic nascent industries in China, and it is closely related to the development of other strategic industries. This industry has recently received substantial attention. Based on the DEA method, the paper performs an empirical analysis of the financing efficiency of 68 listed new material enterprises from 2011 to 2013. We demonstrate that the financing efficiency of new material industry has declined from 2011 to 2013. As a result of lower financing efficiency? we identify certain problems on development of new material industry and subsequently discuss the cause of these problems.教育部人文社会科学基金项目“泛长江三角洲区域碳效率度量方法及其应用研究”(14YJA630040)、江苏省社科联应用研究精品工程项目“经济新常态视域下环境规制对江苏省企业环保投资影响研究”(15SYB-037)和中央高校基本科研业务费专项科研项目（NR2014028

微润灌溉技术研究进展及展望

［目的］对近年来国内外关于微润灌溉技术的研究成果进行综述，探讨微润灌溉的未来研究方向， 为微润灌溉制度和灌溉参数的制定及该节水技术的推广提供依据。［方法］总结微润灌溉的发展历程和应 用现状，微润灌溉条件下土壤水分运动规律，微润灌溉对作物生长的影响，并分析微润灌溉技术的不足之 处。［结果］微润灌溉是一种新型地下灌溉技术，以连续灌溉方式不间断地向作物根系供应适量水分，使植 物吸水过程与田间灌溉过程具有同步性，灌水量与植物耗水量相匹配，实现无胁迫灌溉，改善作物品质和 产量。该技术已成为国际领先的仿生型连续灌溉系统，在干旱半干旱地区具有广阔的应用前景。［结论］ 今后应加强的研究领域主要包括：微润灌溉对土壤养分运移的影响；微润灌溉对不同种植模式作物生长的 影响；微润灌溉对农田生态系统温室气体排放的影响。</p

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies