Drivers of rising global energy demand: The importance of spatial lag and error dependence

Energy

Volumn 76, Issue , 2014, Pages 254-263

  Huang, Yongfu ^a  

^a UNITED NATIONS UNIVERSITY   (Finland)

Author keywords

Cross section dependence; Demographic; Energy demand; Income and price elasticities; Structural; Technological and temperature changes

Indexed keywords

COSTS; ELASTICITY; ENERGY MANAGEMENT; ENERGY POLICY; POPULATION STATISTICS;

CROSS SECTION DEPENDENCE; DEMOGRAPHIC; ENERGY DEMANDS; PRICE ELASTICITY; STRUCTURAL; TEMPERATURE CHANGES;

ENERGY EFFICIENCY;

DECADAL VARIATION; DEMAND ANALYSIS; ENERGY EFFICIENCY; ERROR ANALYSIS; GLOBAL CHANGE; PANEL DATA; PRICE DYNAMICS; SUSTAINABLE DEVELOPMENT; TECHNOLOGICAL CHANGE; TEMPERATURE EFFECT;

EID: 84908481629     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2014.07.093     Document Type: Article

References (44)

1. Andrews D.W.K. Cross-section regression with common shocks. Econometrica 2005, 73(5):1551-1585.
2. Anselin L., Le Gallo J., Jayet H. Spatial panel econometrics. The econometrics of panel data, fundamentals and recent developments in theory and practice 2007, 3rd ed. L. Matyas, P. Sevestre (Eds.).
3. Basta M., Helman K. Scale-specific importance of weather variables for explanation of variations of electricity consumption: the case of Prague, Czech Republic. Energy Econ 2013, 40:503-514.
4. Buranakunaporn S., Oczkowski E. Structural change and Thailand energy demand. Int J Energy Res 2007, 31:300-314.
5. Chudik A., Pesaran M.H., Tosetti E. Weak and strong cross section dependence and estimation of large panels. Econ J 2011, 14:C45-C90.
6. Costantini V., Martini C. The causality between energy consumption and economic growth: a multi-sectoral analysis using non-stationary cointegrated panel data. Energy Econ 2010, 32:591-603.
7. Dicembrino C., Trovato G. Structural breaks, price and income elasticity, and forecast of the monthly Italian electricity demand 2013, MPRA Paper 47653.
8. Enerdata Global energy market data of the enerdata global energy intelligence 2010, http://www.enerdata.fr.
9. Fan S., Hyndman R.J. The price elasticity of electricity demand in South Australia. Energy Policy 2011, 39(6):3709-3719.
10. Fingleton B. Ageneralized method of moments estimator for a spatial model with moving average errors, with application to real estate prices. Empir Econ 2008, 34:35-57.
11. Fingleton B. Ageneralized method of moments estimator for a spatial panel model with an endogenous spatial lag and spatial moving average errors. Spat Econ Anal 2008, 3(1):27-44.
12. Heston A., Summers R., Aten B. Penn world table version 7.0 2011, Center for International Comparisons at the University of Pennsylvania (CICUP).
13. Hofman B., Labar K. Structural change and energy use: evidence from China's provinces. World Bank China Working Paper Series No. 6 2007.
14. Huang Y. The drivers of rising global energy demand: new evidence. Cambridge environmental economy and policy research 2011, Discussion Papers No. 52.2011.
15. International Energy Agency (IEA) World energy outlook 2010 2010.
16. International Energy Agency (IEA) Key world energy statistics 2010 2010.
17. International Energy Agency (IEA) Indices of energy end-use prices 2011, Quarter 1.
18. Kapetanios G., Pesaran M.H., Yamagata T. Panels with nonstationary multifactor error structures. JEcon 2011, 160(2):326-348.
19. Kapoor M., Kelejian H.H., Prucha I. Panel data models with spatially correlated error components. JEcon 2007, 140:97-130.
20. Kelejian H.H., Prucha I. Ageneralized moments estimator for the autoregressive parameter in a spatial model. Int Econ Rev 1999, 40:509-599.
21. Krishnamurthy C.K.B., Kristrom B. Energy demand and income elasticity: a cross-country analysis 2013, CERE Working Paper. p. 5.
22. Lund H. Renewable energy strategies for sustainable development. Energy 2007, 32(6):912-919.
23. Mahadevan R., Asafu-Adjaye J. Energy consumption, economic growth and prices: a reassessment using panel VECM for developed and developing countries. Energy Policy 2007, 35:2481-2490.
24. Maddala G.S., Trost R.P., Li H., Joutz F. Estimation of short-run and long-run elasticities of energy demand from panel data using shrinkage estimators. JBus Econ Stat 1997, 15(1):90-100.
25. Momani M.A. Factors affecting electricity demand in Jordan. Energy Power Eng 2013, 5:50-58.
26. Ngai L.R., Pissarides C.A. Structural change in a multisector model of growth. Am Econ Rev 2007, 97(1):429-443.
27. Pardo A., Meneu V., Valo E. Temperature and seasonality influences on Spanish electricity load. Energy Econ 2002, 24(1):55-70.
28. Peirson J., Henley A. Electricity load and temperature: issues in dynamic specification. Energy Econ 1994, 16:235-243.
29. Paleta R., Pina A., Silva C.A. Remote autonomous energy systems project: towards sustainability in developing countries. Energy 2012, 48(1):431-439.
30. Persyn D., Westerlund J. Error correction based cointegration tests for panel data. Stata J 2008, 8(2):232-241.
31. Pesaran M.H. General diagnostic tests for cross section dependence in panels 2004, Cambridge Working Papers in Economics 0435.
32. Pesaran M.H. Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica 2006, 74(4):967-1012.
33. Pesaran M.H., Smith R.P. Estimating long-run relationships from dynamic heterogeneous panels. JEcon 1995, 68:79-113.
34. Pesaran M.H., Smith R.P., Akiyama T. Energy demand in Asian developing economies 1998, Oxford University Press.
35. Pesaran M.H., Tosetti E. Large panels with common factors and spatial correlation. JEcon 2011, 161:182-202.
36. Petrick S., Rehdanz K., Tol R.S.J. The impact of temperature changes on residential energy use. University of Sussex Department of Economics Working Paper Series 4412 2012.
37. Rosenberg E., Lind A., Espegren K.A. The impact of future energy demand on renewable energy production - case of Norway. Energy 2013, 61:419-431.
38. Schafer A. Structural change in energy use. Energy Policy 2005, 33(4):429-437.
39. van Benthem A., Romani M. Fuelling growth: what drives energy demand in developing countries?. Energy J 2009, 30(3):91-114.
40. Wang C. Changing energy intensity of economies in the world and its decomposition. Energy Econ 2013, 40:637-644.
41. Wing I.S. Representing induced technological change in models for climate policy analysis. Energy Econ 2006, 28:539-562.
42. Westerlund J. Testing for error correlation in panel data. Oxf Bull Econ Stat 2007, 69(6):709-748.
43. World Bank World development report: development and climate change 2010.
44. World Bank World development indicators April 2011.