股权性质、环境不确定性与技术资本配置效率

技术转化为资本，资本创造价值已经成为共识，技术资本在不同公司创造价值的作用程度不同，根源是技术资本配置效率问题。选取沪深两市2008-2013年间制造业上市公司为样本，检验了基于不同股权性质的公司环境不确定性对企业技术资本配置效率和价值的影响，研究结果表明：①企业环境不确定性程度越高，技术资本配置效率越低，并且技术资本配置偏离度在国有公司中表现为配置过度，在非国有公司表现为配置不足；②在股权性质为国有的公司中，由环境不确定性引发的技术资本配置偏离将降低企业价值，在非国有控股公司中，由环境不确定性导致的技术资本配置偏离将增加企业价值。     

高技术服务业与资源型产业融合对资源型企业两阶段创新效率的影响

基于新技术与新知识的高技术服务业跨界融合是传统企业实现创新资源优化配置、创新研发和商业转化的重要因素。因此，运用熵指数测度全国各省区高技术服务业与资源型产业融合水平，并利用2014—2017年资源型上市公司面板数据检验两大产业融合对资源型企业两阶段创新效率的影响，同时探讨企业吸收能力的调节作用。结果表明：现阶段高技术服务业和资源型产业融合程度不高，但发展态势良好，处于从失调走向协调的转变期；产业融合对资源型企业创新研发效率短期无显著影响，长期存在抑制作用，资源型企业技术能力刚性导致对新技术的排斥，且较大的产业间认知差距削弱了产业间良性互动带来的技术扩散效应；产业融合对创新转化效率呈先抑制、后促进效应，就长期而言，产业融合具有良好的创新转化推动力；资源型企业吸收能力分别在产业融合与滞后一期创新研发效率及滞后三期创新转化效率的关系中起正向、负向调节作用，表明资源型企业吸收能力构建尚不全面。     

国家重点科技资源支撑区域创新经济产出的空间差异研究

根据2011-2014年科技部《国家重点科技基础条件资源调查表》以及国家统计年鉴数据,首先,使用赫芬达尔指数定量描述了利用国家重点科技资源进行创新活动的非均衡性。其次,使用网络DEA方法,实证分析了2012-2014年中国(内地)各省份国家重点科技资源对区域创新发展的支撑作用。研究表明,国家重点科技资源对区域创新发展的支撑作用不仅取决于资源创新生产阶段,而且受制于重点科技资源支持下的区域创新发展阶段。重点科技资源的支撑作用还有较大提升空间,70%的省份创新成果转化能力有待提高,且大部分省份的国家重点科技资源未实现优化配置。此外,全国及东部、中部和西部国家重点科技资源对区域创新发展的支撑效率不存在绝对收敛趋势。     

Operational performance of U.S. public rail transit and implications for public policy

In today's tough economic environment, governments at all levels face significant budget shortfalls and public rail transit systems must compete with other public services for government subsidies. It is critical that public rail transit systems be concerned with their operational performance and efficient use of resources. In this paper, we develop a methodology that measures a rail transit system's performance relative to that of other rail transit systems, compares its performance to an appropriate efficient benchmark system, and identifies the sources of its inefficiency. We analyze the relationship between public subsidies and operational performance of public rail systems and show an inverse relationship between subsidization and efficiency.     

Emptying the future: On the environmental politics of anticipation

Anticipation may be seen as structured by images and representations, an approach that has informed recent work in science and technology studies on the sociology of expectations. But anticipation, as a capacity or characteristic, is not solely manifested in the form of representations, even where such representations of the ‘not yet’ are performative in nature. It also comprises material capacities, technological, biophysical and affective in nature. The politics of anticipation is shaped by how these symbolic and material capacities, and the forms of agency they make possible, are distributed. As anticipation is an environmentally distributed capacity, it is suggested that the politics of anticipation is also an environmental politics. A conceptual framework for analysing anticipation as comprised of environmental capabilities is introduced, and fleshed out using a case study of energy infrastructure planning from the UK. Key elements of this framework include the concepts of anticipatory assemblages and future horizons or ‘styles’ of anticipation. Working through the case study as an empirical example of a conflict concerning the politics of anticipation and of ‘environments’, it is demonstrated how the relationships between styles of anticipation are materially constitutive of such conflicts.     

地方政府人才引进政策促进了区域创新吗？——来自准自然实验的证据

高技能人力资本对于我国经济转型的重要性不言而喻。本文以2009—2012年间39个城市集中出台的地方人才引进政策为准自然实验,采用多期政策的双重差分法,结合机制分析和异质性分析,探究了人才政策出台前后区域创新能力的变化及其背后的机制和深层次原因,并分析政策效应在不同的地区营商环境、科教事业投入力度、知识产权保护程度下的差异。本文主要结论包括,地方人才引进政策总体上提高了当地的专利授权总量和专利价值总量;显著增加了研发投入的规模,但创新效率没有得到明显提升;在营商环境较差的地区,政策的效应侧重于提高专利数量,营商环境较好的地区则侧重于提升专利价值;在科教投入力度本身就很大的地区,政策效果较小,在科教投入弱的地区效果会更明显;在知识产权保护程度弱的地区,政策效果更多地表现为提高专利数量,保护程度强的地区,则侧重于提升专利价值。上述结论对地方政府优化人才激励政策、实施创新驱动发展战略具有一定的政策启示。     

Mass tourism and water efficiency in the hotel industry: A case study

Mass tourism, which has traditionally been associated with an unsustainable use of natural resources and intensive land use, is frequently identified as a major environmental stressor in coastal regions. Nonetheless, mass tourism resorts typically have a compact and vertical urban configuration and have been shown to make more efficient use of water resources than other low-density tourist destinations. This article investigates how the main variables identified by the literature as determinants of water consumption by hotels influences water efficiency in hotels in Lloret de Mar, a well-known mass tourism destination on the Costa Brava in Spain. The results of a generalized linear mixed model show that large, high-rise hotels that attract thousands of tourists annually also benefit from economies of scale in terms of water efficiency.     

A multivariate time series analysis of energy consumption,real output and pollutant emissions in a developing economy: New evidence from Nepal

Mountain economies will have to play a central role in attaining the global pursuit of green economic growth as crucial bearers of ecosystems goods and services. However, these economies are not adequately represented in the development policy debates in spite of their fundamental importance towards global sustainable development. This study examines the inter relationships between energy consumption, output and carbon emissions in a developing mountainous economy using an augmented Vector Autoregression model. Time-series data over the period 1975–2013 is studied applying a multivariate framework using population and gross fixed capital formation as additional variables for Nepal. Testing for Granger causality between integrated variables based on asymptotic theory reveals a long-run unidirectional Granger causality running from GDP to energy consumption, and a unidirectional Granger causality running from carbon emissions to GDP. We suggest that the government of Nepal can address energy poverty by accelerating the adoption energy conservation policies such as rationing energy consumption and energy efficiency improvements to narrow the energy supply-demand gap. The opportunity to promote the uptake of decentralised off-grid renewable technologies in remote areas and the large scale development of hydropower at the national level also needs to be prioritized. Our results remain robust across different estimators and contributes to an emerging literature on the nexus relationships between energy consumption, income and carbon emissions in mountainous developing economies.     

Global energy forecasting competition 2017: Hierarchical probabilistic load forecasting

The Global Energy Forecasting Competition 2017 (GEFCom2017) attracted more than 300 students and professionals from over 30 countries for solving hierarchical probabilistic load forecasting problems. Of the series of global energy forecasting competitions that have been held, GEFCom2017 is the most challenging one to date: the first one to have a qualifying match, the first one to use hierarchical data with more than two levels, the first one to allow the usage of external data sources, the first one to ask for real-time ex-ante forecasts, and the longest one. This paper introduces the qualifying and final matches of GEFCom2017, summarizes the top-ranked methods, publishes the data used in the competition, and presents several reflections on the competition series and a vision for future energy forecasting competitions.