考虑成员风险规避的双渠道绿色供应链定价与绿色投入决策研究

本研究聚焦供应链成员风险偏好对双渠道绿色供应链的影响，在构建以供应商为主导的双层供应链模型基础上，研究成员间风险规避系数对产品绿色度、线上以及线下销售价格的影响。研究表明供应商的风险规避行为显著影响供应链绿色水平，导致产品绿色度、线上价格、线下价格降低，但零售商的风险规避行为会导致产品绿色度、线上价格升高，同时线下价格受到消费者绿色偏好的影响，当消费者绿色偏好水平较低时，零售商风险规避行为导致线下价格降低，而当消费者绿色偏好水平较高时，零售商风险规避行为导致线下价格升高；在供应商风险中性，零售商风险规避时，产品的绿色度最高，在供应商风险规避，零售商风险中性者时，产品绿色度最低。     

“双循环”新发展格局下数字经济驱动消费增长的机制与路径:基于有调节的中介效应检验

文章基于“双循环”新发展格局背景，首先从内部和外部结合、供需两侧结合的角度采用倒推法构建了数字经济驱动消费增长的理论逻辑框架，即“双循环新发展格局←国内循环为主体←扩大内需←供需匹配←产业升级和创新←数字经济”。接着选取中国286个地级市的数据，采用聚类分析法描述各城市数字经济发展水平并进行对比分析。研究发现：不同层级城市的数字经济增速存在明显区别，数字经济一线城市的数字经济指数水平远高于其他四个层级城市，但是数字经济五线城市的增速远超一线城市，表现出十足后劲；从数字经济和消费的拟合情况可以看出，数字经济和消费增长呈正相关关系；数字经济与产业结构升级、产业结构升级与消费增长之间都呈现一定的正向关系，但是现实情况也显示出产业结构优化指数比较高的城市没有能明显表现出相对应的良好消费势头。进一步建立有调节的中介效应模型对数字经济对消费增长的影响机制进行了实证检验。结果显示：从全样本层面看，数字经济对消费增长的总效应显著为正，说明数字经济能够在促进消费、拉动内需上发挥一定的作用。另外，产业结构升级的中介效应显著为正，说明数字经济能够通过推进产业结构升级从而促进消费增长，但是这个中介效应具有一定...     

Nonstationary Binary Choice

This paper develops an asymptotic theory for time series binary choice models with nonstationary explanatory variables generated as integrated processes. Both logit and probit models are covered. The maximum likelihood (ML) estimator is consistent but a new phenomenon arises in its limit distribution theory. The estimator consists of a mixture of two components, one of which is parallel to and the other orthogonal to the direction of the true parameter vector, with the latter being the principal component. The ML estimator is shown to converge at a rate of n^3/4 along its principal component but has the slower rate of n^1/4 convergence in all other directions. This is the first instance known to the authors of multiple convergence rates in models where the regressors have the same (full rank) stochastic order and where the parameters appear in linear forms of these regressors. It is a consequence of the fact that the estimating equations involve nonlinear integrable transformations of linear forms of integrated processes as well as polynomials in these processes, and the asymptotic behavior of these elements is quite different. The limit distribution of the ML estimator is derived and is shown to be a mixture of two mixed normal distributions with mixing variates that are dependent upon Brownian local time as well as Brownian motion. It is further shown that the sample proportion of binary choices follows an arc sine law and therefore spends most of its time in the neighborhood of zero or unity. The result has implications for policy decision making that involves binary choices and where the decisions depend on economic fundamentals that involve stochastic trends. Our limit theory shows that, in such conditions, policy is likely to manifest streams of little intervention or intensive intervention.     

基于“双碳”目标的我国制造业绿色转型优化路径探析

作为国之经济根基、国民经济之命脉,制造业是实现我国经济提质增效升级的主战场。加快推进制造业绿色转型是实现经济增长与环境保护双重目标的必由之路,也是早日实现"双碳"目标的重要路径。目前我国制造业已积极开展绿色转型实践,但在"双碳"目标的驱动下,制造业绿色转型过程中仍面临绿色供应商管理实践有所欠缺、创新能力存在较大行业差距、绿色产品市场化程度较低、尚未形成完善的绿色转型政策体系及绿色转型融资渠道单一等诸多困境。因此,文章基于绿色供应链管理理论视角,分析了影响我国制造业绿色转型的多方驱动机制,并从以绿色采购强化绿色转型的要素支撑、发挥企业绿色创新的主体驱动力、充分调动绿色产品市场活力、建立"供产销"全链条政策支持体系及实现转型创新链与金融资金链的协同发展五个角度阐述了制造业绿色转型优化路径。