Do local energy prices and regulation affect the geographic concentration of employment?

2013 ◽  
Vol 101 ◽  
pp. 105-114 ◽  
Author(s):  
Matthew E. Kahn ◽  
Erin T. Mansur
Keyword(s):  
Local Energy ◽  
Energy Prices ◽  
Geographic Concentration

scholarly journals Bi-Level Optimization for Electricity Transaction in Smart Community With Modular Pump Hydro Storage

2020 ◽  
Author(s):  
Yang Chen ◽  
Xiao Kou ◽  
Mohammed Olama ◽  
Helia Zandi ◽  
Chenang Liu ◽  
...  
Keyword(s):  
Stackelberg Game ◽  
Cost Minimization ◽  
Necessary Optimality Conditions ◽  
Local Energy ◽  
Energy Prices ◽  
Profit Distribution ◽  
Level Model ◽  
Upper Level ◽  
Smart Community ◽  
Best Responses

Abstract Grid integration of the increasing distributed energy resources could be challenging in terms of new infrastructure investment, power grid stability, etc. To resolve more renewables locally and reduce the need for extensive electricity transmission, a community energy transaction market is assumed with market operator as the leader whose responsibility is to generate local energy prices and clear the energy transaction payment among the prosumers (followers). The leader and multi-followers have competitive objectives of revenue maximization and operational cost minimization. This non-cooperative leader-follower (Stackelberg) game is formulated using a bi-level optimization framework, where a novel modular pump hydro storage technology (GLIDES system) is set as an upper level market operator, and the lower level prosumers are nearby commercial buildings. The best responses of the lower level model could be derived by necessary optimality conditions, and thus the bi-level model could be transformed into single level optimization model via replacing the lower level model by its Karush-Kuhn-Tucker (KKT) necessary conditions. Several experiments have been designed to compare the local energy transaction behavior and profit distribution with the different demand response levels and different local price structures. The experimental results indicate that the lower level prosumers could benefit the most when local buying and selling prices are equal, while maximum revenue potential for the upper level agent could be reached with non-equal trading prices.

scholarly journals Reinforcement learning in local energy markets

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Samrat Bose ◽  
Enrique Kremers ◽  
Esther Marie Mengelkamp ◽  
Jan Eberbach ◽  
Christof Weinhardt
Keyword(s):  
Reinforcement Learning ◽  
Renewable Energy Sources ◽  
Energy Transition ◽  
Energy System ◽  
Energy Markets ◽  
Market Mechanism ◽  
Machine Learning Algorithms ◽  
Local Energy ◽  
Energy Prices ◽  
Strategic Learning

AbstractLocal energy markets (LEMs) are well suited to address the challenges of the European energy transition movement. They incite investments in renewable energy sources (RES), can improve the integration of RES into the energy system, and empower local communities. However, as electricity is a low involvement good, residential households have neither the expertise nor do they want to put in the time and effort to trade themselves on their own on short-term LEMs. Thus, machine learning algorithms are proposed to take over the bidding for households under realistic market information. We simulate a LEM on a 15 min merit-order market mechanism and deploy reinforcement learning as strategic learning for the agents. In a multi-agent simulation of 100 households including PV, micro-cogeneration, and demand shifting appliances, we show how participants in a LEM can achieve a self-sufficiency of up to 30% with trading and 41,4% with trading and demand response (DR) through an installation of only 5kWp PV panels in 45% of the households under affordable energy prices. A sensitivity analysis shows how the results differ according to the share of renewable generation and degree of demand flexibility.

Global Financial Crisis and Its Impact on Russia

2009 ◽  
pp. 9-27 ◽  
Author(s):  
A. Kudrin
Keyword(s):  
Monetary Policy ◽  
Fiscal Policy ◽  
Financial Crisis ◽  
Central Bank ◽  
Global Financial Crisis ◽  
Developed Countries ◽  
Real Economy ◽  
Energy Prices ◽  
Russian Government ◽  
The Real

The article examines the causes of origin and manifestation of the current global financial crisis and the policies adopted in developed countries in 2007—2008 to deal with it. It considers the effects of the financial crisis on Russia’s economy and monetary policy of the Central Bank in the current conditions as well as the main guidelines for the fiscal policy under different energy prices. The measures for fighting the crisis that the Russian government and the Central Bank use to support the real economy are described.

Anti-crisis measures or structural reforms: Russia’s economic policy in 2015

2016 ◽  
pp. 5-33 ◽  
Author(s):  
V. Mau
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Structural Transformation ◽  
Growth Model ◽  
Emerging Economies ◽  
Social Issues ◽  
Import Substitution ◽  
Structural Reforms ◽  
Energy Prices ◽  
New Models

The paper deals with 2015 trends and challenges for social and economic policy in the nearest future. The analysis of global crisis includes: uneven developments in the leading advanced and emerging economies; new models of economic growth which look differently in different countries; prospects of globalization and challenges of ‘regional globalization’; currency configurations of the future; energy prices dynamics and its influence on political and economic prospects of particular states. Current challenges are discussed in the context of previous 30 years. Among the main topics on Russia, there are approaches to a new growth model, structural transformation (including import substitution issues), economic dynamics, budget and monetary outlines, social issues. The priorities of economic policy are also considered.

Geographic Concentration of Firm’s Income-Producing Assets and Stock Returns

2018 ◽  
Author(s):  
Stanimira Milcheva ◽  
Yildiray Yildirim ◽  
Zhu Bing
Keyword(s):  
Stock Returns ◽  
Geographic Concentration

The Nexus between Financial Development, Economic Growth and Energy Consumption in India: A VECM Technique

2020 ◽  
pp. 602-612
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Financial Development ◽  
Consumer Price Index ◽  
Development Economic ◽  
Energy Prices ◽  
Vector Error Correction ◽  
Percent Increase ◽  
Growth Energy ◽  
The Impact

The demand for energy consumption requires efficient financial development in terms of bank credit. Therefore, this study examines the nexus between Financial Development, Economic Growth, Energy Prices and Energy Consumption in India, utilizing Vector Error Correction Model (VECM) technique to determine the nature of short and long term relationships from 2010 to 2019. The estimation of results indicates that a one percent increase in bank credits to private sector results in 0.10 percent increase in energy consumption and 0.28 percent increase in energy consumption responses to 1 percent increase in economic growth. It is also observed that the impact of energy price proxied by consumer price index is statistically significant with a negative sign indicating the consistency with the theory.

Budgetary Authority and Coalition Management

2018 ◽  
Author(s):  
Paul Chaisty ◽  
Nic Cheeseman ◽  
Timothy J. Power
Keyword(s):  
Resource Dependence ◽  
Economic Resources ◽  
System Level ◽  
Energy Prices ◽  
Economic Crises ◽  
Government Transparency ◽  
Discretionary Spending ◽  
The Cost ◽  
Coalition Size

This chapter considers how presidents use their budget powers and the allocation of targeted discretionary spending to manage their coalitions. It considers the costs of budget tool deployment (in terms of time, controversy, and economic resources), and the factors that affect these costs: system-level factors (government transparency, federalism, personal-vote elections), coalition-level factors (coalition size, fragmentation, and heterogeneity), and conjunctural factors (economic crises and energy prices). It explores these factors with cases of budget tool deployment in Ukraine, Ecuador, and Russia. The Ecuadorean and Russian cases illustrate the divergent effects of resource dependence on the cost of budget tool dependence. Finally, it uses data from MP surveys to show the high value that legislators attribute to budget tools, and to illustrate how the composition of coalitions affects the costs that presidents are likely to face.

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