山东省烟威地区农村经济持续性、整体性发展研究

烟威地区农村经济应选择可持续发展模式.通过拉动农村消费,限制高消费,保证持续能力,关注土地资源、矿产资源、水资源等资源的持续利用,以实现持续性发展.坚持整体性发展思路,因地制宜,强化小城镇建设.     

农业资源的开发、价值补偿与农业持续发展

阐述了目前我国农业自然资源利用存在的问题,提出了对资源要实行价值补偿,要依靠科技,走深度开发的道路.     

生态补偿有助于脱贫攻坚吗?——基于重点生态功能区转移支付的准自然实验研究

构建生态补偿的减贫框架,借助政府"依申请公开"平台手工整理了2002-2016年间重点生态功能区县级数据,采用"PSM-DID"方法实证检验了生态补偿的减贫效应.研究发现,生态补偿能显著改善贫困,其减贫的主要机制是改善区域环境和促进劳动力就业.当前生态补偿政策存在减贫效应不够精准、补助规模较小等缺陷,应进一步强化生态补偿贫困识别机制,提高补助规模并丰富补助形式等.     

变循环高速涡轮动力对风扇能力需求初探

变循环高速涡轮发动机是航空发动机的重要发展方向.为满足发动机宽速域、高温度、宽循环、高流通工作,保障其宽速域特别是高速条件下的工作性能,需要风扇提高宽转速范围效率、提高中低转速流通能力、提高物理转速上限和应用轻质耐高温材料.     

新冠肺炎疫情对2020年我国钢材消费的影响

主要分析了新冠肺炎疫情对我国经济和主要下游行业的影响,并分别对乐观、中性和悲观3种经济发展情景下2020年我国钢材消费量进行了预测,判断2020年我国钢材消费量大概率为8.48亿吨,同比下降5.3%。     

Conditional density forecast of China’s energy demand via QRNN model

We propose a new method for conditional density forecast of China’s energy demand through quantile regression neural network (QRNN). This method has at least two advantages. First, it is flexible to explore the true nonlinearity in the energy demand system via neural network structure. Second, it is able to describe the whole conditional distribution of energy demand via quantile regression. In the empirical study on China’s energy demand, QRNN outperforms several classical methods in terms of forecast accuracy both in-sample and out-of-sample. Considering China’s economic and social environment, we set a scenario for predictors and forecast the conditional density of China’s energy demand from 2015 to 2020. The empirical results show that the conditional density curve moves to right and its dispersion increases over time, which indicates that the energy demand in China will keep growing with an average annual rate of 9.672% and its uncertainty is enlarged with 42.210%.     

The stabilization role of police spending in a neo-Keynesian economy with credit market imperfections

Motivated by a seemingly persistent “twin-high” phenomenon in Latin America, we present a novel theoretical framework that has linkages between three institutions (education, criminal justice, and credit) to study policy-pertinent research questions with regards to whether police spending has the potential to serve as an unconventional policy tool for macroeconomic management. Based on a stylized parameterization, we find formal and illegal human capital to share common cyclical properties, which can be "decoupled" under a rule-based regime to police spending. This nonetheless comes at a cost of a greater propagation of the credit friction-induced financial accelerator effect.     

Trade credit financing and stock price crash risk

This study investigates the association between trade credit financing and stock price crash risk within China's context. We find that firms using more trade credit financing have significantly lower future stock price crash risk. This negative association is more pronounced for firms with greater information asymmetry and for firms located in less developed financial markets. This finding is robust to the endogeneity concern, alternative measures of stock price crash risk, and the inclusion of other factors identified in prior studies that might affect stock price crash risk. Further evidence suggests that both the monitoring mechanism and the disclosure mechanism drive the documented relation. Our study suggests that access to trade credit can significantly reduce the likelihood of crash risk in a country like China with less developed formal bank financing. Our study also suggests that investors can effectively avoid stock price crash risk by using the trade credit information disclosed in financial statements.     

Does China’s emissions trading system foster corporate green innovation? Evidence from regulating listed companies

Carbon emissions trading system is expected to be both efficient and flexible in carbon reduction through green innovation. As the world’s largest CO₂ emitter, China has launched the emissions trading system (CN-ETS) since 2013 in 7 pilot areas and vowed to build a nation-wide system in the second half of 2017. This study provides preliminary evidence on the impact of the CN-ETS on green innovation and the moderating role of market competition on this relationship at the firm level. Based on data of regulating listed companies in seven pilots, the results show that CN-ETS is significantly positively correlated with green innovation, and market competition weakens the positive relationship, indicating that CN-ETS is effective in the aspect of green innovation, and the effect would be better in less competitive markets.     

Does a sense of calling facilitate sustainability? Research on the influence of calling on employee green behavior

Organizations recently attach growing importance to sustainable development and green human resource management (GHRM), raising research interest in predicting employee green behavior (EGB). However, the potential linkage between a sense of calling and EGB is neglected. This research fills the void by examining whether, how, and when calling predicts EGB. Drawing upon self-determination theory, we argue that by satisfying three basic psychological needs (i.e., autonomy, competence, and relatedness), a sense of calling enhances employees' prosocial motivation, which in turn promotes EGB. We further propose that calling predicts EGB more effectively for less conscientious employees. We conducted two field surveys to test the hypotheses. Both Study 1 (N = 280) and Study 2 (N = 295) confirm that calling positively affects EGB through partial mediation of prosocial motivation and that conscientiousness negatively moderates the relationship between calling and prosocial motivation as well as the indirect effect. Theoretical contributions and practical implications are discussed.