1. Altinay, G., & Yalta, A. T. (2016). Estimating the Evolution of Elasticities of Natural Gas Demand: The Case of Istanbul, Turkey. Empirical Economics, 51(1), 201-220. https://doi.org/10.1007/s00181-015-1012-1 [
DOI]
2. Andrews, D. W. (1986). Stability Comparison of Estimators. Econometrica: Journal of the Econometric Society, 54(5), 1207-1235. [
DOI]
3. Arnberg, S., & Bjørner, T. B. (2007). Substitution between Energy, Capital and Labour Within Industrial Companies: A Micro Panel Data Analysis. Resource and Energy Economics, 29(2), 122-136. [
DOI]
4. Asche, F., Nilsen, O. B., & Tveteras, R. (2008). Natural Gas Demand in the European Household Sector. The Energy Journal, 29(3), 27-46. [
DOI]
5. Banks, J., Blundell, R., & Lewbel, A. (1997). Quadratic Engel Curves and Consumer Demand. Review of Economics and Statistics, 79(4), 527-539. [
DOI]
6. Bardazzi, R., Oropallo, F., & Pazienza, M. G. (2015). Do Manufacturing Firms React to Energy Prices? Evidence from Italy. Energy Economics, 49(1), 168-181. [
DOI]
7. Barnett, W. A. (1983). New Indices of Money Supply and the Flexible Laurent Demand System. Journal of Business & Economic Statistics, 1(1), 7-23. [
DOI]
8. Barnett, W. A. (2002). Tastes and Technology: Curvature Is Not Sufficient for Regularity. Journal of Econometrics, 108(1), 199-202. [
DOI]
9. Barnett, W. A., & Lee, Y. W. (1985). The Global Properties of the Minflex Laurent, Generalized Leontief, and Translog Flexible Functional Forms. Econometrica: Journal of the Econometric Society, 53(6), 1421-1437. [
DOI]
10. Barnett, W. A., Lee, Y. W., & Wolfe, M. (1987). The Global Properties of the Two Minflex Laurent Flexible Functional Forms. Journal of Econometrics, 36(3), 281-298. [
DOI]
11. Barnett, W. A., Lee, Y. W., & Wolfe, M. D. (1985). The Three-Dimensional Global Properties of the Minflex Laurent, Generalized Leontief, and Translog Flexible Functional Forms. Journal of Econometrics, 30(1-2), 3-31. [
DOI]
12. Bello, M. O., Solarin, S. A., & Yen, Y. Y. (2018). Hydropower and Potential for Interfuel Substitution: The Case of Electricity Sector in Malaysia. Energy, 151(1), 966-983. [
DOI]
13. Berkson, J. (1944). Application of the Logistic Function to Bio-Assay. Journal of the American Statistical Association, 39(227), 357-365. [
DOI]
14. Berndt, E. R., & Wood, D. O. (1975). Technology, Prices, and the Derived Demand for Energy. The Review of Economics and Statistics, 57(3), 259-268. [
DOI]
15. Bernstein, R., & Madlener, R. (2011). Residential Natural Gas Demand Elasticities in OECD Countries: An ARDL Bounds Testing Approach. FCN Working Paper No. 15/2011. [
DOI]
16. Bölük, G., & Koç, A. A. (2010). Electricity Demand of Manufacturing Sector in Turkey: A Translog Cost Approach. Energy Economics, 32(3), 609-615. [
DOI]
17. Burke, P. J., & Yang, H. (2016). The Price and Income Elasticities of Natural Gas Demand: International Evidence. Energy Economics, 59(1), 466-474. [
DOI]
18. Caves, D. W., & Christensen, L. R. (1980). Global Properties of Flexible Functional Forms. The American Economic Review, 70(3), 422-432.
19. Cho, W. G., Nam, K., & Pagan, J. A. (2004). Economic Growth and Interfactor/Interfuel Substitution in Korea. Energy Economics, 26(1), 31-50. [
DOI]
20. Christensen, L. R., Jorgenson, D. W., & Lau, L. J. (1973). Transcendental Logarithmic Production Frontiers. The Review of Economics and Statistics, 55(1), 28-45. [
DOI]
21. Considine, T. J. (1989a). Estimating the Demand for Energy and Natural Resource Inputs: Trade–Offs in Global Properties. Applied Economics, 21(7), 931-945. [
DOI]
22. Considine, T. J. (1989b). Separability, Functional Form and Regulatory Policy in Models of Interfuel Substitution. Energy Economics, 11(2), 82-94. [
DOI]
23. Considine, T. J. (1990). Symmetry Constraints and Variable Returns to Scale in Logit Models. Journal of Business & Economic Statistics, 8(3), 347-353. [
DOI]
24. Considine, T. J. (2000). The Impacts of Weather Variations on Energy Demand and Carbon Emissions. Resource and Energy Economics, 22(4), 295-314. [
DOI]
25. Considine, T. J. (2018). Estimating Concave Substitution Possibilities with Non-Stationary Data Using the Dynamic Linear Logit Demand Model. Economic Modelling, 72(1), 22-30. [
DOI]
26. Considine, T. J., & Manderson, E. (2014). The Role of Energy Conservation and Natural Gas Prices in the Costs of Achieving California's Renewable Energy Goals. Energy Economics, 44(1), 291-301. [
DOI]
27. Considine, T. J., & Manderson, E. J. (2015). The Cost of Solar-Centric Renewable Portfolio Standards and Reducing Coal Power Generation Using Arizona as a Case Study. Energy Economics, 49(1), 402-419. [
DOI]
28. Considine, T. J., & Mount, T. D. (1984). The Use of Linear Logit Models for Dynamic Input Demand Systems. The Review of Economics and Statistics, 66(3), 434-443. [
DOI]
29. Considine, T. J., & Rose, A. (2001). The Future Role of Natural Gas in the World Energy Market: An Overview. The Future Role of Natural Gas in the World Energy Market, Markaz, ed, 9-23.
30. Dagher, L. (2012). Natural Gas Demand at the Utility Level: An Application of Dynamic Elasticities. Energy Economics, 34(4), 961-969. [
DOI]
31. Dargay, J. M., & Gately, D. (2010). World Oil Demand’s Shift toward Faster Growing and Less Price-Responsive Products and Regions. Energy Policy, 38(10), 6261-6277. [
DOI]
32. Denny, M., & Fuss, M. (1977). The Use of Approximation Analysis to Test for Separability and the Existence of Consistent Aggregates. The American Economic Review, 67(3), 404-418.
33. Diewert, W. E., & Wales, T. J. (1988). Normalized Quadratic Systems of Consumer Demand Functions. Journal of Business & Economic Statistics, 6(3), 303-312. [
DOI]
34. Diewert, W. E., & Wales, T. J. (1989). Flexible Functional Forms and Global Curvature Conditions. NBER Technical Working Paper No. 40.
35. Dumagan, J. C., & Mount, T. D. (1992). Measuring the Consumer Welfare Effects of Carbon Penalties: Theory and Applications to Household Energy Demand. Energy Economics, 14(2), 82-93. [
DOI]
36. Dumagan, J. C., & Mount, T. D. (1993). Welfare Effects of Improving End-Use Efficiency: Theory and Application to Residential Electricity Demand. Resource and Energy Economics, 15(2), 175-201. [
DOI]
37. Erdogdu, E. (2010). Natural Gas Demand in Turkey. Applied Energy, 87(1), 211-219. [
DOI]
38. Fuss, M. A. (1977). The Demand for Energy in Canadian Manufacturing: An Example of the Estimation of Production Structures with Many Inputs. Journal of Econometrics, 5(1), 89-116. [
DOI]
39. Ghassan, H. B., & Banerjee, P. K. (2015). A Threshold Cointegration Analysis of Asymmetric Adjustment of OPEC and Non-OPEC Monthly Crude Oil Prices. Empirical Economics, 49(1), 305-323. [
DOI]
40. Griffin, J. M., & Schulman, C. T. (2005). Price Asymmetry in Energy Demand Models: A Proxy for Energy-Saving Technical Change? The Energy Journal, 26(2), 1-21. [
DOI]
41. Guilkey, D. K., & Lovell, C. K. (1980). On the Flexibility of the Translog Approximation. International Economic Review, 21(1), 137-147. [
DOI]
42. Guilkey, D. K., Lovell, C. K., & Sickles, R. C. (1983). A Comparison of the Performance of Three Flexible Functional Forms. International Economic Review, 24(3), 591-616. [
DOI]
43. Hall, V. B. (1986). Major OECD Country Industrial Sector Interfuel Substitution Estimates, 1960–1979. Energy Economics, 8(2), 74-89. [
DOI]
44. Hausman, J. A. (1975). Project Independence Report: An Appraisal of US Energy Needs Up To 1985. The Bell Journal of Economics, 6(2), 517-551. [
DOI]
45. He, Y., & Lin, B. (2019). Heterogeneity and Asymmetric Effects in Energy Resources Allocation of the Manufacturing Sectors in China. Energy, 170(1), 1019-1035. [
DOI]
46. Hossain, A. N., & Serletis, A. (2017). A Century of Interfuel Substitution. Journal of Commodity Markets, 8(1), 28-42. [
DOI]
47. Huntington, H. G. (2007). Industrial Natural Gas Consumption in the United States: An Empirical Model for Evaluating Future Trends. Energy Economics, 29(4), 743-759. [
DOI]
48. Inglesi-Lotz, R. (2011). The Evolution of Price Elasticity of Electricity Demand in South Africa: A Kalman Filter Application. Energy Policy, 39(6), 3690-3696. [
DOI]
49. Jones, C. T. (1995). A Dynamic Analysis of Interfuel Substitution in US Industrial Energy Demand. Journal of Business & Economic Statistics, 13(4), 459-465. [
DOI]
50. Jones, C. T. (1996). A Pooled Dynamic Analysis of Interfuel Substitution in Industrial Energy Demand by the G-7 Countries. Applied Economics, 28(7), 815-821. [
DOI]
51. Karimu, A., & Brännlund, R. (2013). Functional Form and Aggregate Energy Demand Elasticities: A Nonparametric Panel Approach for 17 OECD Countries. Energy Economics, 36(1), 19-27. [
DOI]
52. Layard, P. R. G., & Walters, A. A. (1978). Microeconomic Theory: McGraw-Hill.
53. Liddle, B., & Huntington, H. (2020). Revisiting the Income Elasticity of Energy Consumption: A Heterogeneous, Common Factor, Dynamic OECD & Non-OECD Country Panel Analysis. The Energy Journal, 41(3), 207- 229. [
DOI]
54. Lin, B., & Tian, P. (2017). Energy Conservation in China’s Light Industry Sector: Evidence from Inter-Factor and Inter-Fuel Substitution. Journal of Cleaner Production, 152(1), 125-133. [
DOI]
55. Lin, B., Ankrah, I., & Manu, S. A. (2017). Brazilian Energy Efficiency and Energy Substitution: A Road to Cleaner National Energy System. Journal of Cleaner Production, 162(1), 1275-1284. [
DOI]
56. Liu, K., Bai, H., Yin, S., & Lin, B. (2018). Factor Substitution and Decomposition of Carbon Intensity in China's Heavy Industry. Energy, 145(1), 582-591. [
DOI]
57. Ma, C., & Stern, D. I. (2016). Long-Run Estimates of Interfuel and Interfactor Elasticities. Resource and Energy Economics, 46(1), 114-130. [
DOI]
58. Madlener, R. (1996). Econometric Analysis of Residential Energy Demand. Journal of Energy Literature, 2(1), 3-32.
59. Madlener, R., Bernstein, R., & González, M. Á. A. (2011). Econometric Estimation of Energy Demand Elasticities: E. ON ERC Aachen.
60. Miljkovic, D., Dalbec, N., & Zhang, L. (2016). Estimating Dynamics of US Demand for Major Fossil Fuels. Energy Economics, 55(1), 284-291. [
DOI]
61. Morana, C. (2007). Factor Demand Modelling: The Theory and the Practice. Applied Mathematical Sciences, 1(31), 1519-1549.
62. Moschini, G. (1998). The Semiflexible Almost Ideal Demand System. European Economic Review, 42(2), 349-364. [
DOI]
63. Oum, T. H. (1979). A Warning on the Use of Linear Logit Models in Transport Mode Choice Studies. The Bell Journal of Economics, 10(1), 374-388. [
DOI]
64. Pindyck, R. S. (1979a). Interfuel Substitution and the Industrial Demand for Energy: An International Comparison. The Review of Economics and Statistics, 61(2), 169-179. [
DOI]
65. Pindyck, R. S. (1979b). The Structure of World Energy Demand (Vol. 22): MIT Press Cambridge, MA.
66. Polemis, M. L. (2012). Competition and Price Asymmetries in the Greek Oil Sector: An Empirical Analysis on Gasoline Market. Empirical Economics, 43(2), 789-817. [
DOI]
67. Rentschler, J., & Kornejew, M. (2017). Energy Price Variation and Competitiveness: Firm Level Evidence from Indonesia. Energy Economics, 67(1), 242-254. [
DOI]
68. Rothman, D. S., Hong, J. H., & Mount, T. D. (1994). Estimating Consumer Energy Demand Using International Data: Theoretical and Policy Implications. The Energy Journal, 15(2), 67-88.
69. Serletis, A., Timilsina, G. R., & Vasetsky, O. (2010). Interfuel Substitution in the United States. Energy Economics, 32(3), 737-745. [
DOI]
70. Steinbuks, J. (2012). Interfuel Substitution and Energy Use in the UK Manufacturing Sector. The Energy Journal, 33(1), 1-29.
71. Steinbuks, J., & Narayanan, B. G. (2015). Fossil Fuel Producing Economies Have Greater Potential for Industrial Interfuel Substitution. Energy Economics, 47(1), 168-177. [
DOI]
72. Urga, G. (1999). An Application of Dynamic Specifications of Factor Demand Equations to Interfuel Substitution in US Industrial Energy Demand. Economic Modelling, 16(4), 503-513. [
DOI]
73. Urga, G., & Walters, C. (2003). Dynamic Translog and Linear Logit Models: A Factor Demand Analysis of Interfuel Substitution in US Industrial Energy Demand. Energy Economics, 25(1), 1-21. [
DOI]
74. Uri, N. D. (1979). Energy Substitution in the UK, 1948–64. Energy Economics, 1(4), 241-244. [
DOI]
75. Uzawa, H. (1962). Production Functions with Constant Elasticities of Substitution. The Review of Economic Studies, 29(4), 291-299. [
DOI]
76. Wadud, Z., Dey, H. S., Kabir, M. A., & Khan, S. I. (2011). Modeling and Forecasting Natural Gas Demand in Bangladesh. Energy Policy, 39(11), 7372-7380. [
DOI]
77. Wang, X., & Lin, B. (2017). Factor and Fuel Substitution in China's Iron & Steel Industry: Evidence and Policy Implications. Journal of Cleaner Production, 141(1), 751-759. [
DOI]
78. Xie, C., Du, K., Zhao, Y., & Brandon, N. P. (2016). Possibilities of Coal–Gas Substitution in East Asia: A Comparison among China, Japan and South Korea. Natural Gas Industry B, 3(4), 387-397. [
DOI]