Technology assessment: Impact of high-tech engineering research on energy consumption

A technology assessment (TA) program was launched in Switzerland in 1991. One project in the series of pilot projects was meant to assess the impact of so-called LESIT technologies on energy consumption. (LESIT was a priority research program and a German acronym for power electronics, systems and information technology.) In this paper the institutional environment, applied methods and main results of the TA study are summarised. One of the questions that arose was whether it is reasonable to expect a high-tech engineering research program to serve any societal goals other than the more immediate technical and economic goals the research partners in university and industry are accustomed to follow. It was found that without special efforts this expectation was not realistic. Politically desirable goals are best served when enough emphasis, time, and money are given to the process of bringing together research partners from academia and industry who all have a (self-serving) interest in furthering the politically desirable goal and then support their collaboration.     

中国经济增长与能源消费空间面板分析

近年来面板数据广泛应用于各类统计分析,但变量的空间相关并没有引起足够的重视。本文引入空间面板回归模型研究中国各省市区经济增长和能源消费的关系。利用matlab软件及其spatial econometric模块建立和比较传统面板回归模型与空间面板回归模型,结果表明空间面板回归模型较传统面板回归模型优越,本文的研究为空间面板数据分析提供了一个应用实例。     

The hydroelectricity consumption and economic growth in Asian countries - evidence using an asymmetric cointegration approach

ABSTRACT

This study examines the four commonly tested hypotheses in hydroelectricity consumption – economic growth literature for 12 Asian countries. Our results from a recently developed hidden cointegration technique uncover rich and significant relationships between negative and positive components of the variables under consideration. In particular, we find evidence to support the neutrality hypothesis in five countries (Bangladesh, Indonesia, Pakistan, Philippines, and Thailand), the growth hypothesis in four countries (India, Japan, South Korea and Taiwan), and both growth and conservation hypotheses in three countries (China, Malaysia, and New Zealand). These findings suggest that appropriate economic policies should be elaborated on the basis of the country’s specific hydroelectricity consumption–growth nexus. Finally, our new evidence suggests that the lack of stable relationship between hydroelectricity consumption and economic growth documented in previous studies for some of these countries could be due to the failure to properly account for the nonlinearity property in the data.     

我国能源强度的最优规模实证研究

我国能源现状与经济增长的高能源依赖性表明．经济增长需要最优能源强度。最优能源强度及其存在性，可通过实证得出，实际能源强度与最优值的差距也可进行测算。研究结果表明，近年来我国实际能源强度高于最优值，处于不断上升的趋势，最终会实现能源强度最优规模。     

Policy instruments for curbing CO2 emissions: The case of the Netherlands

Taxes may seem to be the most attractive instrument for curbing the emissions of carbon dioxide. This paper, however, argues that environmental taxes involve a number of serious complications — especially in an open economy riddled with market imperfections like the Netherlands. Therefore, a wide-ranging policy mix is called for. As far as households and sheltered sectors are concerned, regulation can continue to play a major role. Within the context of unilateral policies aimed at exposed sectors, the combination of subsidies and voluntary agreements may be more cost effective than the tax instrument.This paper was prepared for a conference on Energy Taxation in Europe organized by the Stichting voor Economisch Onderzoek (SEO) and held on December 13, 1991 in Amsterdam, the Netherlands. The author would like to thank Sijbren Cnossen, Jarig van Sinderen and one anonymous referee for helpful comments on an earlier draft.     

Electricity supply preferences in Europe: Evidence from subjective well-being data

We use survey data for 139,517 individuals in 25 European countries, 2002–2011, to estimate the relationship between subjective well-being (SWB) and production shares of various electricity generation technologies. The estimated relationships are taken to represent preference relationships over attributes of electricity supply systems (costs, safety, environmental friendliness, etc.). Controlling for a variety of individual and macro-level factors, we find that individuals’ SWB varies systematically and significantly with differences in the electricity mix across countries and across time. Among other results, we find that a greater share of solar & wind power relative to nuclear power and electricity from coal and oil is associated with greater SWB at all levels of income and that the implied preference for solar & wind power over nuclear power has risen drastically after the Fukushima nuclear accident.     

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.     

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.