What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment

Business Strategy and the Environment (BSE) is a premier journal dedicated to interdisciplinary research that advances business practice leading to improvements in environmental performance. Using big data analytics, this review examines the intellectual structure and the drivers of research impact of BSE in the scholarly domain. The bibliometric results suggest three major findings. First, the top three countries contributing to BSE are the United Kingdom, the United States, and China. Second, BSE's research manifests through five thematic clusters, namely, business strategy and sustainability; corporate governance and sustainability reporting; green marketing and pro-environmental behavior; innovation and environmental policy; and environmental management systems. Finally, BSE's research impact in terms of citations is significantly influenced by author affiliation (United States); article age (older), appearance (lead article and special issue), length (longer), and method (mix methods); title length (shorter title); and number of keywords (more keywords) and references (more references). Implications for BSE's readers and future contributors are discussed.     

Detecting which firm-specific characteristics impact market-oriented R&D

This paper investigates which firm-specific characteristics lead multinational enterprises (MNEs) to increase their R&D expenditure in host countries as a way of expanding their business into local markets (market-oriented R&D). The literature that addresses this topic is quite limited because of the difficulty of separating market-oriented R&D expenditure from knowledge-sourcing R&D expenditure in the data. We argue that determining the relationship between local sales and R&D expenditure is a better way to identify whether MNEs are investing market-oriented R&D than is separating the two types of R&D. For connecting firm-specific characteristics, local-market sales, and R&D expenditure together, we adapt two-stage regressions. By employing data from Taiwanese multinationals from 2003 to 2006, we found that if an MNE moves its technology toward capital-intensive products, it increases its R&D expenditure to promote its sales in the local markets in the host country.     

Strategic brand management for higher education institutions with graduate degree programs: empirical insights from the higher education marketing mix

ABSTRACT

Intense competition for student enrollment has created a strong need for higher education institutions, especially those that offer graduate degree programs, to differentiate themselves. This article introduces the concept of strategic brand management as an avenue for higher education differentiation and discusses how higher education institutions with graduate degree programs can strategically manage their brands (i.e. corporate and product) through the higher education marketing mix (i.e. prominence, prospectus, program, price, people, premium, and promotion). Using a closed-ended survey and partial least squares structural equation modeling of a sample of students enrolled in a graduate degree program (e.g. MBA), the study finds that the utilitarian elements (i.e. prominence, prospectus, program, and price) of the higher education marketing mix have a positive direct impact on the product brand (e.g. MBA brand) and an indirect impact on the corporate brand (e.g. university brand) of these types of higher education institutions. However, hedonic elements (i.e. people, premium, and promotion) of the higher education marketing mix do not produce any significant impact on either the corporate or product brands of these institutions. Implications from these findings to theory, practice, and future research avenues conclude.     

基于创新扩散理论的ERP应用实证研究

结合大量文献及对企业ERP实施的调研分析,基于创新扩散理论(DOI)构建了包含企业内外部影响因素(ERP兼容性、ERP复杂性、ERP相对优越性、企业管理机制、企业复杂性、外部竞争压力、高层管理者支持、业务流程重组和实施顾问)和衡量ERP实施成功的两大标准(ERP扩散广度和ERP扩散深度)的ERP创新实施成功模型,提出相应理论假设;并以中国企业为样本进行问卷调研和统计分析,实证结果表明,其中ERP相对优越性、ERP复杂性、高层管理者支持、企业复杂性、实施顾问、竞争压力和企业管理机制对ERP实施成功具有显著影响。     

资本市场发展中的商业银行金融同业业务调整和拓展

一、商业银行金融同业业务创新与拓展的动因分析 1998年以来,政府一方面运用调节利率杠杆和引导信贷投向等货币政策,同时加以扩大财政支出和征收利息税等财政手段,力图抑制银行体系中储蓄总量持续上升的趋势,刺激社会总投资和社会总消费需求,拉动经济增长;另一方面,放宽券商的股权和债权融资的政策限制,扶持一批管理规范、经营良好的券商通过增发新股或配售股份来实现资本扩张,批准更多有条件的证券机构和保险机构进入银行间拆借市场,出台股票质押贷款办法,增加证券机构融资渠道,扩大社会直接融资在融资领域的比重,运用资本市场价格机制的作用改善资源配置并通过产权交易与债权约束来改善公司治理结构,从而提高经济增长率.     

澳大利亚银行业的信用评级

随着金融自由化在全球范围内的不断发展，许多新兴的经营业务和不断涌现的金融衍生产品，使银行业的风险日益加大。为了确定金融机构防范、抵御和控制风险的能力，信用评级显得尤为必要。     

解析经理股票期权制度

盛行于西方国家的经理股票期权制度（简称ESO），近两年来已逐渐引起中国有关方面的注意，学者和企业家们从不同角度出发，就中国实行经理股票期权的可行性及其现实意义进行了探讨和研究。本文试图从股票期权制度的产生、包含要素和效应等方面进行介绍并就其在中国的运用现状及发展作一些粗浅的探讨。     

精准扶贫政策对贫困户增收效应的科学评估

在后扶贫时代到来之际,有必要科学评估精准扶贫政策对贫困户的增收效应,探讨增收机制,从而为后续的防返贫工作提供指导.利用2018年实地调查的微观数据研究发现:建档立卡政策的确能够有效提高贫困户的家庭收入.无论是建档立卡政策还是贫困村政策,其最终的落脚点均在于开发式扶贫.在增强贫困户内生动力上,产业扶贫、金融扶贫以及就业扶贫均产生了正向作用,首先为产业扶贫,其次为金融扶贫,最后为就业扶贫.自2020年后,在乡村振兴战略框架下,要有效融合产业扶贫、金融扶贫与就业扶贫,努力保证在脱贫攻坚过程中培育起来的扶贫体系实现可持续发展.     

论我国生态住区建设的实施促进机制

本文针对当前生态住区实施促进机制研究的薄弱环节,在借鉴国外生态型住区建设的成功经验的基础上,结合我国城市住区的发展现状,从市场调控机制、行政管理机制两个方面探讨我国生态住区建设的促进机制,以求推动我国生态住区的健康、快速发展。     

Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming‐Based Approach

This paper uses semidefinite programming (SDP) to construct Bayesian optimal design for nonlinear regression models. The setup here extends the formulation of the optimal designs problem as an SDP problem from linear to nonlinear models. Gaussian quadrature formulas (GQF) are used to compute the expectation in the Bayesian design criterion, such as D‐, A‐ or E‐optimality. As an illustrative example, we demonstrate the approach using the power‐logistic model and compare results in the literature. Additionally, we investigate how the optimal design is impacted by different discretising schemes for the design space, different amounts of uncertainty in the parameter values, different choices of GQF and different prior distributions for the vector of model parameters, including normal priors with and without correlated components. Further applications to find Bayesian D‐optimal designs with two regressors for a logistic model and a two‐variable generalised linear model with a gamma distributed response are discussed, and some limitations of our approach are noted.