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This paper proposes a new framework for integrated assessment models of global environmental issues, including energy, climate, land use, macroeconomics, and environmental impacts. We conducted simulations on carbon emission stabilization in regions specified at the Third Conference of the Parties to the United Nations Framework Conventions on Climate Change (UNFCCC/COP3). Adaptation strategies including technology choice, conservation and carbon emission certificate trade are evaluated. We find that carbon certificate trade is potentially effective in averaging relative impact in macroeconomic activity.

The Kyoto Clean Development Mechanism (CDM) is the first “global” and largest carbon offset instrument, supplementing national or regional cap and trade systems such as the European Union’s Emission Trading Scheme (EU ETS). This paper draws on weekly IDEACarbon survey data from 2008 to 2010 to empirically examine how investor’s perception of the CDM regulatory and administrative framework affects the price of CERs in secondary markets (denoted as sCER) and the price spread with EUAs. Results from cointegration analysis and GARCH modeling indicate that the perception of investors about the relative stringency and efficiency of this framework is a significant determinant of the sCER price and the EUA-sCER price spread. An increase in perceived stringency causes significant increases in sCER prices and a substantial narrowing of the EUA/sCER price spread (and vise versa). The analysis also shows that the EU ETS market was instable over the period examined, with a structural shift occurring at the end of 2008 likely due to the 2008 financial crisis.

Global energy efficiency can be obtained in two ordinary ways. One way is to improve the energy production and supply side, and the other way is, in general, to reduce the consumption of energy in society. This paper has focus on the latter and especially the consumption of energy for heating and cooling our houses. There is a huge energy-saving potential in this area for reducing both the global climate problems as well as economy challenges. Heating of buildings in Denmark accounts for approximately 40% of the entire national energy consumption. For this reason, a reduction of heat losses from building envelopes are of great importance in order to reach the Bologna CO2 emission reduction targets. Upgrading of the energy performance of buildings is a topic of huge global interest these years. Not only heating in the temperate and arctic regions are important, but also air conditioning and mechanical ventilation in the “warm countries” contribute to an enormous energy consumption and corresponding CO2 emission. In order to establish the best basis for upgrading the energy performance, it is important to make measurements of the heat losses at different places on a building facade, in order to optimize the energy performance. This paper presents a method for measuring the heat loss by utilizing a U-value meter. The U-value meter measures the heat transfer in the unit W/Km2 and has been used in several projects to upgrade the energy performance in temperate regions. The U-value meter was also utilized in an EUDP (Energy Technological Development and Demonstration Program) focusing on renovation of houses from the 1960s and 1970s.

Electricity consumption in the world is constantly increasing, making our lives become more and more dependent on electricity. There are several new paradigms proposed in the field of power grids. In Japan, especially after the Great East Japan Earthquake in March 2011, the new power grid paradigms are expected to be more resilient to survive several difficulties during disasters. In this paper, we focus on microgrids and propose priority-based hierarchical operational management for multiagent-based microgrids. The proposed management is a new multiagent-based load shedding scheme and multiagent-based hierarchical architecture to realize such resilient microgrids. We developed a prototype system and performed an evaluation of the proposed management using the developed system. The result of the evaluation shows the effectiveness of our proposal in power shortage situations, such as disasters.

Storing municipal solid waste (MSW) in landfills is the oldest and still the primary waste management strategy in many countries. Russia is the third largest methane (CH4) emitter country after USA and China, representing 5% of total global CH4 emissions from waste landfilling. Due to high economical growth, the amount of waste generated in Russia has risen sharply over the last ten years. However, waste management in Russia is mainly based on landfilling. In order to design an optimal MSW utilization system considering various aspects related to sustainable MSW management, a linear programming model was introduced for this research. The performance of the proposed MSW utilization system in the target area has been evaluated in light of energy, economic, and environmental (3Es) aspects, such as system net cost, annual energy generated from the waste, and the carbon dioxide (CO2) emissions of the system. St. Petersburg city was considered as the target area for the present analysis. The results show that the introduction of the proposed MSW system with energy recovery from waste along with a high level of material recovery has energy, environmental and economic benefits compared to the conventional treatment system. This paper emphasizes the importance of introducing waste treatment methods as an alternative to landfilling, and to improve recycling activities in Russia.

This paper examines the importance of induced technological change in considering the efficiency costs of environmental policy. In particular, in modeling an endogenous formation of energy-saving technology through a variety of intermediates, the paper studies the welfare effects of environmental tax reform in a general equilibrium model. Using this model, the paper shows that environmental tax reform induces an expansion of the variety of intermediates by increasing rents from innovating new intermediates and, thereby, brings technological change. Then, the induced variety expansion by environmental tax reform achieves positive externalities and plays an important role both to decrease the efficiency costs and to improve the environmental quality.

AbstractThis article is concerned with soil‐sustainability problems of agriculture in developing countries, in particular with soil erosion. The aim of our study is to develop a comprehensive model that explains the adoption of sustainable agricultural practices with respect to soil conservation. Our approach includes the following special features: (a) the model is comprehensive in that it includes a large number of institutional, personal–social, economic, and physical explanatory variables; (b) particular attention is paid to the influence of marketing systems on the adoption of sustainable agricultural practices, which to our knowledge has been neglected in past research; (c) the concept of adopting sustainable agricultural practices (ASAP) is differentiated into a limited number of basic components of soil conservation; and (d) the model is estimated by Principal Component Regression, which enhances efficient estimation of the impact of many explanatory variables on ASAP. Our model is applied to Cabuyal hillside farming in Colombia. The application demonstrates the usefulness of the proposed model. ASAP is differentiated into three basic components: soil‐disturbance control, soil‐protection practices, and run‐off control. It appears that soil‐disturbance control is particularly influenced by farmers' characteristics, such as education and managerial variables. The second component, soil‐protection practices, appears to be strongly influenced not only by farmers' managerial variables but also by their relationship with their environment, in particular marketing institutions. The third soil‐conservation component, run‐off control, is influenced by the physical characteristics of the plot and by the available farm labor. Our empirical results demonstrate the usefulness of the proposed model in designing agricultural policies, because it can determine which variables are more likely to influence the adoption of a specific type of soil conservation.

This paper attempts to estimate the environmental Kuznets curve (EKC) in the case of France by taking the role of nuclear energy in electricity production into account. We adopt the autoregressive distributed lag (ARDL) approach to cointegration as the estimation method. Additionally, we examine the stability of the estimated models and investigate the Granger causality relationships between the variables in the system. The results from our estimation provide evidence supporting the EKC hypothesis, and the estimated models are shown to be stable over the sample period. The uni-direction running from other variables to CO2 emissions are confirmed from the casualty tests. Specifically, the uni-directional causality relationship running from nuclear energy to CO2 emissions statistically provides evidence on the important role of nuclear energy in reducing CO2 emissions.