An additive–multiplicative mean model for panel count data with dependent observation and dropout processes

This paper discusses regression analysis of panel count data with dependent observation and dropout processes. For the problem, a general mean model is presented that can allow both additive and multiplicative effects of covariates on the underlying point process. In addition, the proportional rates model and the accelerated failure time model are employed to describe possible covariate effects on the observation process and the dropout or follow‐up process, respectively. For estimation of regression parameters, some estimating equation‐based procedures are developed and the asymptotic properties of the proposed estimators are established. In addition, a resampling approach is proposed for estimating a covariance matrix of the proposed estimator and a model checking procedure is also provided. Results from an extensive simulation study indicate that the proposed methodology works well for practical situations, and it is applied to a motivating set of real data.     

Urban greening and mobility justice in Dhaka’s informal settlements

ABSTRACT

Urban greening in Dhaka, Bangladesh is fraught with injustice for slum dwellers. Access to the commons for the enactment of gardening, farming and foraging by the urban poor, many recent internal migrants from rural areas, is contested by wealthier citizens, developers and political elites. Through qualitative research with households within the informal settlement of Korail in Dhaka’s urban core, and a range of stakeholders in governmental and non-governmental organizations, this study critiques competing policy visions that involve urban greening and urban green infrastructure. Repurposing the conceptual lense of ‘mobility justice’ to analyse environmental and ecological issues in the global South, the findings highlight the importance of mobility concerns to just futures for urban planning.     

治理效能视角下公民参与公共服务的制度研究

公民参与公共服务的有序性和有效性并非直接相关,可以从有序性和有效性两个维度分析公民参与及其治理效能的关系.为提升治理效能,以程序性规则为核心的制度设计能更为充分地保障公民有序有效参与公共服务,实现公民与政府之间的良性互动与有序合作.基于全过程民主、程序性权利和共同体秩序等公民参与的程序性价值维度考量,再以环境保护领域中的公民参与为例,从公开公示机制、意见表达机制、回应吸纳机制、监督评价机制和责任追究机制等方面构建公民全过程参与制度,并探索公民参与的方法和策略.通过公民参与的程序性价值内化、方法创新与技术转型来推进治理体系和治理能力现代化.     

From a dyadic to a triadic perspective: Divestiture research implications for understanding pre- and post-acquisition processes

Acquisition and divestiture studies remain surprisingly disconnected, although both fields address corporate restructuring modes that are tightly linked. Acquisitions entail buying a business that another company divests or even, in many cases, a subsequent sale of formerly acquired activities. In this paper, we adopt a seller perspective, explore cross-fertilization areas, and identify important complementary and challenging insights that divesture research can bring to acquisition research. Focusing on sell-off, a major divesture type that is considered symmetrical to an acquisition, we discuss how divestiture research can shed novel light on pre- and post-acquisition stakeholders and processes. We propose two ways in which a divestiture perspective invites rethinking: 1) regarding actors, by stressing the need to consider triadic (divester–target–acquirer) rather than dyadic configurations (target–acquirer) and 2) regarding processes and time, by enlarging the temporal horizon of acquisition processes by divestiture processes, which precede but also sometimes exceed the acquisition. We contribute to acquisition research by providing a fresh look at stakeholder and process perspectives and identifying important future research avenues.     

浙江省城市绿色技术创新效率评价及影响因素分析

基于网络DEA模型和Malmquist指数模型，利用浙江省11个地级市的2011-2020年的数据，以降维后的污染指数为非期望产出对绿色技术创新效率进行测度和分析。发现:浙江各市总体上成果转化阶段的效率优于研发阶段，城市间发展差异较大；整体TFP指数均值为1.121，其提升主要源自技术进步；城镇化水平、产业结构优化、对外开放、政府干预和研发强度对绿色技术创新效率有促进作用，但经济发展水平与绿色技术创新效率的U型关系不显著。     

Correlation properties of continuous-time autoregressive processes delayed by the inverse of the stable subordinator

Abstract

We define the delayed Lévy-driven continuous-time autoregressive process via the inverse of the stable subordinator. We derive correlation structure for the observed non-stationary delayed Lévy-driven continuous-time autoregressive processes of order p, emphasizing low orders, and we show they exhibit long-range dependence property. Distributional properties are discussed as well.     

Control charts based on dependent count data with deflation or inflation of zeros

The process of serially dependent counts with deflation or inflation of zeros is commonly observed in many applications. This paper investigates the monitoring of such a process, the first-order zero-modified geometric integer-valued autoregressive process (ZMGINAR(1)). In particular, two control charts, the upper-sided and lower-sided CUSUM charts, are developed to detect the shifts in the mean process of the ZMGINAR(1). Both the average run length performance and the standard deviation of the run length performance of these two charts are investigated by using Markov chain approaches. Also, an extensive simulation is conducted to assess the effectiveness or performance of the charts, and the presented methods are applied to two sets of real data arising from a study on the drug use.