跟跑、并跑、领跑：语境结构与内在创新机理

近年来,中国科技"跟跑、并跑、领跑"语境结构与社会技术创新系统交互相生日益概念化,深层动因是中国创新能级跃迁和创新战略转型.故厘清"三跑"语境结构、科学范畴及与后发赶超等传统理论异同,在建立"三跑"周期理论及其内在创新机理分析框架的基础上,透视企业、产业、国家创新能级跃迁和领跑地位更迭周期性,用以优化周期各阶段战略策略和路线选择,并提出中国"三跑"各阶段战略策略和创新跃迁领跑的政策建议.     

Corporate sustainability strategies in institutional adversity: Antecedent,outcome, and contingency effects

This study examines (i) how top-level managerial institutional ties drive corporate sustainability strategies of emerging market firms operating under conditions of institutional adversity; (ii) the impact of corporate sustainability strategies on market performance; and (iii) the moderating role of financial resource slack on the relationships between corporate sustainability strategies and market performance. The study builds from institutional development logic and the structure–conduct–performance paradigm. Primary data are collected from 300 firms operating in a major sub-Saharan African market. Findings show that top-level managerial institutional linkages with regulatory national governmental officials, local community leaders, and top managers at other firms drive corporate proactive and responsive sustainability strategies, which in turn influence market performance. In addition, the findings reveal that financial resource slack strengthens the path between corporate proactive sustainability strategies and market performance, but not the path between corporate responsive sustainability strategies and market performance. Theoretical and practical implications are discussed.     

海康威视轻资产运营模式转型的财务绩效评价

轻资产运营模式是一种以较低有形资产规模获取较高企业价值的商业模式,近年来受到广泛关注.在这种价值驱动的新型资本战略模式下,企业流动资产尤其是现金类资产较多,固定资产和存货相对较少,企业将更多资金投入到技术、品牌、营销等高附加值环节,通过"轻"资产形态来获取"高"利润回报,并提升财务绩效.本文以实施轻资产运营模式转型战略的海康威视作为案例分析对象,运用纵向案例研究方法分析海康威视轻资产运营模式转型的动因和运营效果,运用财务战略矩阵模型探究轻资产转型对其财务绩效的影响,并针对轻资产运营模式转型过程中存在的问题提出相应对策建议,以期为相关企业进行轻资产运营模式转型提供有益的借鉴.     

Probabilistic access forecasting for improved offshore operations

Improving access is a priority in the offshore wind sector, driven by the opportunity to increase revenues, reduce costs, and improve safety at operational wind farms. This paper describes a novel method for producing probabilistic forecasts of safety-critical access conditions during crew transfers. Methods of generating density forecasts of significant wave height and peak wave period are developed and evaluated. It is found that boosted semi-parametric models outperform those estimated via maximum likelihood, as well as a non-parametric approach. Scenario forecasts of sea-state variables are generated and used as inputs to a data-driven vessel motion model, based on telemetry recorded during 700 crew transfers. This enables the production of probabilistic access forecasts of vessel motion during crew transfer up to 5 days ahead. The above methodology is implemented on a case study at a wind farm off the east coast of the UK.     

Do environmental regulations hamper small enterprises' market entry? Evidence from China

Due to the serious increase of environmental pollution in China, environmental regulations have become significantly stringent. Such regulations are playing an increasingly important role in the development of small enterprises (SEs) in China, especially in SEs' market entry. However, existing studies pay little attention to this issue. This paper investigates for the first time the effect of environmental regulations on SEs' market entry and the mechanism of environmental regulation effects in China. We consider two sets of panel data for the periods 2003–2010 and 2012–2015 in China. We also use the fixed effect model and the instrumental variable method to explore the role of environmental regulations in SEs' market entry. The results show that, overall, environmental regulations play a significantly positive and robust role in SEs' market entry. However, the mechanisms associated with the effect of environmental regulations on different innovative types of SEs differ. Environmental regulations promote the market entry of SEs with product innovation, but this impact is not significant for SEs with research and development (R&D) activities and R&D institutions. Our findings indicate that China's SEs prefer product innovation, which is a lower level innovative type, over R&D innovation, as a means to avoid the negative impact of stringent environmental regulations.     

Extinction accounting and accountability: Empirical evidence from the west European tissue industry

Recently, human activities are more and more invasive with respect to biodiversity. Several studies highlighted the key role played by accountants in contributing to the development of tools able to support company in assessing, reporting, and disseminating, as well as accomplishing, the preservation of natural species and ecosystems (King and Atkins, 2016). Corporate reporting of environmental information might increase the credibility of forest certifications, given that some scholars argued that certified forests are not often run, in a sustainable way. Moreover, certifications sometimes cover harmful forest practices (Elad, 2014) and do not ensure a good quality of environmental reporting and performance. The research question therefore intends to explore how extinction accounting and accountability (EAA) is able to reflect ex post the company's business strategy and, at the same time, influence ex ante its formulation by easing the prevention of deforestation risk and addressing the issue of credibility through specific actions. In more detail, the “Emancipatory Framework for Extinction Accounting and Accountability” (EFEAA) (Atkins and Maroun, 2018) was tested using content and interpretative analyses based on the reports inherent to top four companies working in West Europe in the tissue industry, where the preservation of forest heritage is a “compulsory route” for assuring the business sustainability, in terms of both raw material renewal and brand reputation. The findings highlighted the first attempt to carry out a qualitative research over the management of forest issues. In our study, companies tend to report advantages arising from the use of forest, but this kind of disclosure is too generic without providing evidence over the ecosystem services forests produce. Moreover, firm size affects the quantity and the quality of disclosure. At last, managerial implications and future research avenues are outlined and discussed.     

Forecasting the volatility of asset returns: The informational gains from option prices

A new class of forecasting models is proposed that extends the realized GARCH class of models through the inclusion of option prices to forecast the variance of asset returns. The VIX is used to approximate option prices, resulting in a set of cross-equation restrictions on the model’s parameters. The full model is characterized by a nonlinear system of three equations containing asset returns, the realized variance, and the VIX, with estimation of the parameters based on maximum likelihood methods. The forecasting properties of the new class of forecasting models, as well as a number of special cases, are investigated and applied to forecasting the daily S&P500 index realized variance using intra-day and daily data from September 2001 to November 2017. The forecasting results provide strong support for including the realized variance and the VIX to improve variance forecasts, with linear conditional variance models performing well for short-term one-day-ahead forecasts, whereas log-linear conditional variance models tend to perform better for intermediate five-day-ahead forecasts.     

The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata1

This paper takes the locally collected price quotes used to construct the CPI index in the UK for the period 1996–2013 and explores the impact of the Great Recession (2008‐9) on the pricing behaviour of firms. We develop a time series framework which captures the link between macroeconomic variables and the behaviour of prices in terms of the frequency of price change, the dispersion of price levels and the size, dispersion and kurtosis of price‐growth. We find strong evidence for inflation having an effect, but not output. The change in the behaviour of prices during the Great Recession is largely explained by the changes in inflation and VAT. Nevertheless, the magnitude of the inflation effect is sufficiently small that it need not influence monetary policy.     

Environmental regulations in private and mixed duopolies: Taxes on emissions versus green R&D subsidies

In this article, we compare two kinds of environmental regulations—emissions taxes and green R&D subsidies—in private and mixed-duopoly markets in the presence of R&D spillovers. We show that a green R&D subsidy is better (worse) than an emissions tax when the green R&D is efficient (inefficient), irrespective of R&D spillovers, whereas the existence of a publicly owned firm encourages the government to adopt a subsidy policy. We also show that the optimal policy choice depends on R&D efficiency and spillovers. In particular, when green R&D is inefficient and the spillover rate is low (high), the government should choose an emissions tax and (not) privatize the state-owned firm. When green R&D is efficient, however, an R&D subsidy is better, but a privatization policy is not desirable for society, irrespective of spillovers.