___

• Benhabib, J. & Spiegel, M. M. (1994). The role of human capital in economic development evidence from aggregate cross-country data. Journal of Monetary economics, 34(2), 143-173.
• Besanko, D. A. & Braeutigam, R. R. (2010). Microeconomics. 4th. ed. John Wiley & Sons, pp. 211.
• Chen, B. Y. (2012). Classification of h-homogeneous production functions with constant elasticity of substitution. Tamkang Journal of Mathematics, 43(2), 321-328.
• Cheng, M. & Han, Y. (2017). Application of a new superposition CES production function model. Journal of Systems Science and Information, 5(5), 462-472.
• Cobb, C. W. & Douglas, P. H. (1928). A theory of production. The American Economic Review, 18(1), 139-165.
• De Loecker, J. (2011). Product differentiation, multiproduct firms, and estimating the impact of trade liberalization on productivity. Econometrica, Econometric Society, vol. 79(5), pages 1407-1451, 09.
• Deng, J. L. (1982). Control problems of grey systems. Sys. & Contr. Lett., 1(5), 288-294.
• Godin, A. & Kinsella, S. (2013). Production functions at the business end: the case of the European Fiscal Compact. Global & Local Economic Review, 17(1), 153.
• Hicks, J. R. & Allen, R. G. (1934). A reconsideration of the theory of value: Part I. Economica, 1(1), 52-76.
• Honghong, L. (2010). A prediction and influence factor analysis of China's food production. In Information Management, Innovation Management and Industrial Engineering (ICIII), 2010 International Conference on (Vol. 2, pp. 30-33). IEEE.
• Li, J. F., Zhao, J. & Zhu, J. (2010). Empirical study on the influencing factors of building industry's performance based on the Cobb-Douglas production function. 2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE), (pp. 1-4). IEEE.
• Liao, Q., Wu, Z. & Xu, J. (2010). A new production function with technological innovation factor and its application to the analysis of energy-saving effect in LSD. Modelling and Simulation, 6(4), 257-266.
• Lucas Jr, R. E. (1988). On the mechanics of economic development. Journal of monetary economics, 22(1), 3-42.
• Mahaboob, B., Venkateswarlu, B. & Balasiddamuni, P. (2017). Estimation of parameters of generalized Cobb-Douglas production functional model. IJPT, 9 (1), p.29186.
• Makridakis, S., Wheelwright, S. C. & Hyndman, R. J. (2008). Forecasting methods and applications. John wiley & sons.
• Mankiw, N. G., Romer, D. & Weil, D. N. (1992). A contribution to the empirics of economic growth. The quarterly journal of economics, 107(2), 407-437.
• Miller, E. (2008). An assessment of CES and Cobb-Douglas production functions. Congressional Budget Office. Mishra, S. (2007). A brief history of production functions.
• Qi, W., Yingsheng, S. & Pengfei, J. (2010). On the random disturbance term and parameter estimation of CD production function. Information Science and Engineering (ISISE), 2010 International Symposium on (pp. 51-53). IEEE.
• Romer, P. M. (1986). Increasing returns and long-run growth. Journal of political economy, 94(5), 1002-1037.
• Stern, D. I. (2011). Elasticities of substitution and complementarity. Journal of Productivity Analysis, 36(1), 79-89.
• Thompson, H. (2016). A physical production function for the US economy. Energy Economics, 56, 185-189.
• Vîlcu, G. E. (2018). On a generalization of a class of production functions. Applied Economics Letters, 25(2), 106-110.
• Wang, X. (2016). A geometric characterization of homogeneous production models in economics. Filomat, 30(13), 3465-3471.
• Zhu, S., Wu, Q. J. & Wang, Y. (2011). Impact of labor force on China's economic growth based on grey metabolic GM (1, 1) model. 2011 IEEE International Conference on Grey Systems and Intelligent Services (GSIS), (pp. 262-265). IEEE.