重大水利工程项目决策社会稳定风险评估中公众参与成熟度的影响路径

重大水利工程项目决策社会稳定风险评估中,公众是重要的参与主体,个体间生活环境、知识背景及心理素质的差异性会直接影响稳评结果。公众参与成熟度是公众参与的衡量要素,由能力成熟度和心理成熟度两个方面构成。从能力与心理两个角度设计调查问卷,运用结构方程模型,探究内部影响路径。结果表明,公众参与心理成熟度直接影响能力成熟度,而能力成熟度又通过参与意愿影响着心理成熟度,两者间存在相互影响的关系。政府可以通过开展道德素质教育,改善公众参与动机,以提高公众参与心理成熟度及能力成熟度,最终整体提高公众参与成熟度,保证稳评工作的质量,提升重大水利工程项目决策科学性。     

CEO hometown identity and firm green innovation

Drawn on the upper echelons theory, this study investigates how chief executive officer (CEO) hometown identity drives firm green innovation. We propose that CEO hometown identity has a positive impact on a firm's green innovation performance. Furthermore, we explore the moderating role of managerial discretion determined by organizational and environmental factors (i.e., institutional ownership and market complexity). We propose that institutional ownership negatively moderates the positive relationship between CEO hometown identity and green innovation, but market complexity plays a positive moderating role. Using Chinese publicly listed firms from 2002 to 2016 in heavily polluting industries, our findings support these hypotheses. Our research contributes to the upper echelons theory and corporate social responsibility literature and has substantial practical implications.     

乡村旅游开发下农户生计适应变化与影响机理研究*——以延安市乡村旅游为例

［目的］以延安市3个典型乡村旅游地为例，结合可持续生计分析框架和适应性理论，分析农户在乡村旅游扰动下的适应策略与适应模式，定量测度不同适应模式农户的适应结果。厘清农户未来生计策略选择的影响因素及其机制，提出促进农户及乡村旅游地可持续发展的对策。［方法］通过参与性农户评估法及二元回归分析法分析影响农户未来生计策略选择的因素。［结果］（1）旅游开发造成案例地农户自然资本丧失，失地农户由务农或务工为主的单一适应方式向兼业型与非农型转变，分化为4种不同类型的农户，且各类农户在各描述指标方面差异显著。（2）农户的生计资本衡量3个社区旅游开发后的适应结果，生计资本普遍较低且内部各维度差异明显。对比4类农户适应结果可得：复合生计型>务工主导型>旅游服务型>社会保障型。（3）通过二元逻辑回归模型深入解释当下适应结果对农户未来生计策略选择的影响，物质资本、金融资本和社会资本均影响农户选择意愿，其中可借款人数是最关键的影响变量。［结论］农户在旅游开发背景下生计动态适应的影响机制为旅游开发及基于此补偿制度是农户现在生计适应活动的外部起因，按照适应类型以及收入比重，分化为4种模式农户； 现行生计适应策略使农户适应结果迥异，生计资本的储量和结构差异显著，这种差异是农户未来生计选择的直接动因； 3个社区不同类型的旅游开发模式是农户未来生计策略选择分异的推动力量。     

经济政策不确定性、区域经济复杂度与企业创新行为

构建包含宏观经济政策不确定性指标、区域经济复杂度和上市公司特征变量“宏观-区域-企业”的实证面板数据，在理论分析经济政策不确定性对企业创新行为作用机理的基础上，以区域经济复杂度为视角，对经济政策不确定性与企业创新行为作用机制进行再检验。研究发现：经济政策不确定性对企业创新存在正向激励综合效应，同时，区域经济复杂度不仅能够促进企业创新行为，而且能够强化经济政策不确定性对企业创新行为的影响即抑制负向作用而强化正向作用。考虑内生性，通过替换核心变量检验稳健性以保证研究结论可靠，并且，研究企业特征发现，高科技企业和非高科技企业存在差异。     

中国高端装备制造业自主技术创新效率稳定性及影响因素研究

在全面实施创新驱动发展战略的时代背景下，揭示中国高端装备制造业自主技术创新效率稳定性，测度相关因素的影响强度与方向，对揭示中国高端装备制造业自主技术创新规律，制定其发展策略具有重要指导意义。聚焦中国高端装备制造业自主技术创新效率稳定性及影响因素，采用DEA-Malmquist指数方法和Tobit回归模型进行实证研究，结果表明，中国高端装备制造业自主技术创新效率存在一定波动性，且各细分行业技术创新效率内部稳定性较差，产业自主技术创新效率整体稳定性不高；自主技术创新投入因素和环境影响因素对产业自主技术创新效率的影响具有较高的异质性，其中创新资金投入和人力资源投入对自主技术创新综合效率、纯技术效率及规模效率具有正向影响，而新产品开发投入和企业规模对自主技术创新综合效率、纯技术效率和规模效率的影响具有异质性，政策因素与市场因素分别具有显著和非显著负向影响，外源性创新因素具有显著正向影响，且影响强度较大。在此基础上，提出调整政府对高端装备制造业创新支持模式、加强外源性创新与智力引进等策略建议。     

应对新冠疫情冲击的货币政策国际协调*

新冠疫情冲击了世界经济增长和金融市场稳定。很多国家推出极度宽松货币政策应对危机。从经典货币政策国际协调的博弈理论来看，应对本次疫情冲击的各国货币政策协调性不足，“以邻为壑”的非合作均衡效果明显。为数不多的货币政策协调也存在执行力不足、深度与广度不够、新兴市场国家话语权低等问题。在世界经济紧密联系、货币政策溢出效应加强的背景下，为了应对疫情冲击，国际组织需要创设协议和合作剩余分配机制，寻找货币政策刺激效果和防止国际资产泡沫之间的平衡，加强政策沟通和信息共享，提高新兴市场国家话语权，建设有效的应对危机的货币政策国际协调机制。中国应在“一带一路”倡议的框架下建立长期货币政策协调机制，在现有的IMF和G20等平台上发挥发达国家与新兴市场国家之间的协调桥梁作用，通过持续开展央行间技术性合作等措施参与和推进协调进程。     

A systematic review of pharmacoeconomic guidelines

Objective: To review, summarize, and analyze both similarities and differences of pharmacoeconomic (PE) guidelines, to enable researchers to access their characteristics and the current state of PE guidelines; furthermore, to learn which methodological issues still remain contested and to promote the methodological development of PE guidelines.

Materials and methods: The authors performed a search for PE guidelines using PubMed, the Cochrane library database, and the websites of the International Society for Pharmacoeconomics and Outcomes Research. Information of each guideline was extracted using a pre-designed extraction template, which included 22 aspects; the guidelines were summarized in the forms of charts, and their characteristics have been described.

Results: A total of 40 PE guidelines were studied. The most common methodological issues include the types of analysis, sources for effectiveness, use of quality-adjusted life-years (QALYs) to measure outcomes, and use of incremental cost effectiveness ratios to present results. The majority of the guidelines preferred a cost utility analysis with outcomes expressed in terms of QALYs. Most of the guidelines preferred meta-analysis or meta-analysis of the randomized controlled trials, and required a systematic review of all evidence. Issues that varied most in the guidelines were the choice of the comparator, recommended costs to be included, methods related to indirect cost calculations, methods of sensitivity analysis, and discounting rate.

Conclusion: A comparison of these guidelines revealed that a number of differences exist among them in several key aspects, and some critical methodological issues still exist, for which no best solution is available. Furthermore, efforts need to be made to develop harmonious methods for the PE, and to improve the transferability of the outcomes of PE evaluations.     

江西省休闲农业示范点空间分布特征研究

[目的]深入分析江西省休闲农业示范点空间分布特征,进而可以提出促进区域休闲农业提升发展的对策建议。[方法]选取2010—2016年江西省国家级和省级休闲农业示范点作为数据,基于最邻近点指数、核密度估计法、不均衡指数和数量类型评价的方法,研究江西省休闲农业示范点的空间分布、类型构成与发展水平。[结果]江西休闲农业示范点空间上呈现聚集型分布特点,主要分布于中心城市、大型景区周边和交通干线沿线,以休闲农园、观光农园和生态农园等类型为主,存在空间分布不均衡、类型结构不合理等问题。[结论]以区域中心城市为中心,建设五大主题功能片区,优化多层级交通游线组织,加强城市、景区与农业资源丰富、生态环境优越区域的交通联系,并充分发挥休闲农业示范点的辐射带动作用,大力扶持培育休闲农业新业态,可以促进区域休闲农业的全面均衡发展。     

Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006–2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve – first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.