论林业建设与贫困山区可持续发展

在广大乡村，特别是山区，林业对于乡村群众生活水平的提高和生活质量的改善起着重要作用。林业发展是山区经济发展的核心之一，是解决农村贫困问题的关键。针对贫困山区林业发展存在的问题，提出林业发展必须与山村经济发展要相互协调发展的途径。     

网络时代与高校思想政治教育的创新

随着网络时代的到来 ,网络日益影响着人们的思想意识 ,这给思想政治教育带来了难得的机遇和严峻的挑战。如何利用网络开展思想政治教育 ,成为教育工作者必须面对的新课题。     

离子晶体外表面束缚极化子

本文计及表面光学声子的作用以及像电荷的作用,采用变分方法对一些材料外表面束缚极化子的基态能量和自陷能作了数值计算,并对结果进行了讨论,发现:对于Ⅰ—Ⅶ、Ⅱ—Ⅵ,Ⅲ—Ⅴ化合物的外表面,均可形成稳定的束缚极化子,且由于表面光学声子的作用,使这一杂质态更加稳定。     

化学学习动机的调查分析

作者运用教育心理学的课堂成就动机理论结合化学教学实际 ,选取了 14种化学学习动机进行问卷调查 ,并进行总体统计分析和抽样统计分析 ,得出了这样的结论。化学教师可以在教学中有效地培养 ,激发和强化学生的化学学习动机 ,提高教与学的效率 ,更好地培养学生的创新精神和实践能力。     

“双碳”视角下我国居民碳普惠:内涵、框架体系与政策建议

“双碳”目标是我国基于实现绿色低碳高质量发展内在要求而作出的重大战略决策,对于加快形成以国内大循环为主体、国内国际双循环相互促进的新发展格局,推动我国社会生产方式、生活方式和消费模式的全面绿色转型,具有重要促进作用。文章围绕居民碳普惠这一当前“双碳”背景下的热点研究问题,从居民碳普惠的概念、内涵、作用与意义三个视角分别展开分析,提出了对绿色支付、居民碳普惠的定义,在此基础上对居民碳普惠的框架体系进行了深入研究,设计了居民碳普惠“一体两翼”的框架体系,并对我国居民碳普惠发展的五个方面提出了进一步政策建议。     

基于自组织系统的企业和谐主题演化分析

组织和谐管理系统的构建,核心在于对组织和谐主题的认识。组织和谐主题是随组织内外部环境变化而不断演化的,根源在于不同情境下组织自适应体的认知差异,这是组织和谐主题演化的根本动因。在不同认知状态下的组织自适应体可以采取有效的行动来调整组织内部及组织与环境间的关系,实现组织和谐主题的演化,达成组织与环境动态适应的目标。和谐主题的演化就是组织自适应体不断进行自组织以达到和谐状态的过程。     

网络销售滋补保健类中药材监管问题探讨

滋补保健类中药材深受我国消费者的喜爱,具有广阔的市场前景。为消费者提供安全的中药材是药品监管中不可回避的议题。但是中药材的双重属性和界定的模糊性使得药品监督管理部门难以对中药材准确定性,影响中药材监管效能。文章立足于网络药品监管状况,从中药材本质属性方面剖析如何对网络销售滋补保健类中药材实施有效监管,以期为深化药品监管提供建议。     

水库移民分享水电工程效益的制度逻辑、 实践困境及破解之道

水库移民分享水电工程效益旨在促成显性工程效益和隐性发展机遇实现跨地域、跨组织、跨主体的公平配置。 作为水库移民的应然权利,利益分享既符合公正补偿的制度逻辑,更彰显共商共建共赢的发展理念,但目前补偿救济色彩较重、市场导向偏弱,并存在后靠移民发展权利及机遇隐性被动减损、外迁移民脱嵌于迁出地及受益地发展红利、非农移民缺乏系统保障等实践困境,其原因在于水电工程综合效益量化难度大、参与主体关系地位不对等、执行管理机构人员配置短缺。 因此应健全水电工程效益分享协同管理机制,鼓励水电企业履行社会责任,优先助力贫困水库移民脱贫,灵活渐进地实现水库移民分享工程效益实践机制的稳步定型和有序推广。     

How to Evaluate Government Performance while Building a Rule of Law Government in China*

Building a law-based government is a central element of the comprehensive framework for promoting the rule of law in China, while using evaluation to catalyze growth is in line with the incentive principle of management studies. Since China started to implement reform and opening up over thirty years ago, rule of law development and organizational evaluation have gone through several stages, each with different characteristics. Efforts to build a law-based government have met with success, but what the country now has is essentially still goal-oriented assessment. At present, this suffers from the lack of a clear goal orientation or definition of functions, an imperfect technical system and unsound motivation mechanisms, not to mention the practical problems of each government department going its own way, duplicating evaluations or being left rudderless. Drawing on a combination of value rationality and instrumental rationality and using government performance evaluation to promote the building of a law-based government not only conforms to the spirit of the rule of law and value rationality in government performance, but also strengthens the role of evaluation as an instrument for organizational management. Therefore, we need to create new evaluation theories, expand public participation, introducing diversified evaluating entities, improve technical systems, strengthen institutional buildup, and foster a performance-based culture. In addition, replacing goal-oriented assessment with performance evaluation will help the emergence of a new discipline—the performance evaluation of rule of law government, thus promoting multidisciplinary efforts to integrate and create new public administration theories in China.     

Model Uncertainty and Bayesian Model Averaged Benchmark Dose Estimation for Continuous Data

The benchmark dose (BMD) approach has gained acceptance as a valuable risk assessment tool, but risk assessors still face significant challenges associated with selecting an appropriate BMD/BMDL estimate from the results of a set of acceptable dose‐response models. Current approaches do not explicitly address model uncertainty, and there is an existing need to more fully inform health risk assessors in this regard. In this study, a Bayesian model averaging (BMA) BMD estimation method taking model uncertainty into account is proposed as an alternative to current BMD estimation approaches for continuous data. Using the “hybrid” method proposed by Crump, two strategies of BMA, including both “maximum likelihood estimation based” and “Markov Chain Monte Carlo based” methods, are first applied as a demonstration to calculate model averaged BMD estimates from real continuous dose‐response data. The outcomes from the example data sets examined suggest that the BMA BMD estimates have higher reliability than the estimates from the individual models with highest posterior weight in terms of higher BMDL and smaller 90th percentile intervals. In addition, a simulation study is performed to evaluate the accuracy of the BMA BMD estimator. The results from the simulation study recommend that the BMA BMD estimates have smaller bias than the BMDs selected using other criteria. To further validate the BMA method, some technical issues, including the selection of models and the use of bootstrap methods for BMDL derivation, need further investigation over a more extensive, representative set of dose‐response data.