Volume 26, Issue 2 (Summer 2021)                   JPBUD 2021, 26(2): 43-76 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Asgari M, Rahnenoon piruj T, Hoshmand Gahar S. (2021). Substitution of Factors in the Cost Function of the Chemical Industry. JPBUD. 26(2), 43-76. doi:10.52547/jpbud.26.2.43
URL: http://jpbud.ir/article-1-1984-en.html
1- The Institute for Trade Studies and Research (ITSR), Tehran, Iran , m.asgari@itsr.ir
2- Razi University and Researcher of the Institute for Trade Studies and Research (ITSR), Tehran, Iran
3- Researcher of The Institute for Trade Studies and Research (ITSR)
Abstract:   (2323 Views)
The chemical industry has one of the largest production value chains, and the products of these industries are widely used as intermediate goods in other industries. In this paper, as regards cost function, Allen's elasticities and own elasticities, price elasticities, Morishima elasticities, energy elasticity, and scales of economics have been estimated in seven selected activities of the chemical industry using statistics and information 2002(2)-2018(1). The results show that the average share of employment, wages, output, and energy of the chemical industry in the entire industrial sector are equal to 6.38, 8.41, 13.28, and 17.45% percentages, respectively (in the period under review). In manufacturing of fertilizers and nitrogen compounds, plastics and synthetic rubber in primary forms, man-made fibers, soap and detergents, cleaning and polishing preparations, perfumes, and also cosmetic preparations, changes in energy input prices affect production costs more in comparison with changes in the prices of other inputs. In all seven selected activities, capital stock demand is more sensitive to changes in its price than other input. In addition, the amount of cross-demand hedges are mostly small. In manufacturing of basic chemicals, fertilizers and nitrogen compounds, paints, varnishes, and similar coatings, printing ink, mastics, and man-made fibers, the price elasticity of natural gas is higher than other types of energy. In the manufacturing of other chemical products, soap and detergents, cleaning and polishing preparations, perfumes, and cosmetic preparations, and plastics and synthetic rubber in primary forms, the price elasticity of electricity is higher than other inputs. Furthermore, the selected activities in this study have increasing returns to scale, thus the larger units of which are preferable to the smaller units.
Full-Text [PDF 1868 kb]   (766 Downloads)    
Type of Study: Research | Subject: industrial economics
Received: Mar 04 2021 | Accepted: Aug 11 2021 | ePublished: Dec 05 2021

References
1. Alvarez, M. A., & Lawrence, N. D. (2008). Sparse Convolved Gaussian Processes for Multi-Output Regression. Paper Presented at the NIPS.
2. Asadi Mehmandosti, E., Bazzazan, F., & Mousavi, M. H. (2018). Calculating Total Factor Productivity and Substitution Elasticities in the Manufacturing Sector in Iran. Iranian Journal of Economic Research, 23(74), 1-32. [DOI:https://dx.doi.org/10.22054/ijer.2018.8824]
3. Asgari, M. (2019). Technical Efficiency in Iran's Industry Sector: A Stochastic Frontier Analysis (SFA) Approach. The Journal of Planning and Budgeting, 24(3), 61-85. [DOI:10.29252/jpbud.24.3.61]
4. Berndt, E. R., & Christensen, L. R. (1973). The Translog Function and the Substitution of Equipment, Structures, and Labor in US Manufacturing 1929-1968. Journal of Econometrics, 1(1), 81-113. [DOI:10.1016/0304-4076(73)90007-9]
5. Bölük, G., & Koç, A. A. (2010). Electricity Demand of Manufacturing Sector in Turkey: A Translog Cost Approach. Energy Economics, 32(3), 609-615. [DOI:10.1016/j.eneco.2010.01.007]
6. Breusch, T. S., & Pagan, A. R. (1980). The Lagrange Multiplier Test and Its Applications to Model Specification in Econometrics. The Review of Economic Studies, 47(1), 239-253. [DOI:10.2307/2297111]
7. 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:10.2307/1927992]
8. Deininger, S. M., Mohler, L., & Mueller, D. (2018). Factor Substitution in Swiss Manufacturing: Empirical Evidence Using Micro Panel Data. Swiss Journal of Economics and Statistics, 154(1), 1-15. [DOI:10.1186/s41937-017-0016-5]
9. Diewert, W. E. (1971). An Application of the Shephard Duality Theorem: A Generalized Leontief Production Function. Journal of Political Economy, 79(3), 481-507. [DOI:10.1086/259764]
10. Feng, G., & Serletis, A. (2008). Productivity Trends in US Manufacturing: Evidence from the NQ and AIM Cost Functions. Journal of Econometrics, 142(1), 281-311. [DOI:10.1016/j.jeconom.2007.06.002]
11. Gallant, A. R. (1981). On the Bias in Flexible Functional Forms and an Essentially Unbiased Form: The Fourier Flexible Form. Journal of Econometrics, 15(2), 211-245. [DOI:10.1016/0304-4076(81)90115-9]
12. Gervais, J.-P., Bonroy, O., & Couture, S. (2006). Economies of Scale in the Canadian Food Processing Industry. Munich Personal RePEc Archive (MPRA) Paper, No. 64.
13. Guilkey, D. K., & Lovell, C. K. (1980). On the Flexibility of the Translog Approximation. International Economic Review, 21(1), 137-147. [DOI:10.2307/2526244]
14. Huang, B. (2001). Fertilizer Usage in Mainland China. Agricultural Policy and Agriculture.
15. Kaghazian, S., Naghdi, Y., & Sepehri, Y. (2016). Surveying the Influence of Inputs on the Cost Function of Refah Bank and the Possibility of Inputs Substitution. Iranian Journal of Trade Studies, 20(79), 155-176. [Link:http://pajooheshnameh.itsr.ir/article_22209.html]
16. Kuroda, Y. (1987). The Production Structure and Demand for Labor in Postwar Japanese Agriculture, 1952-1982. American Journal of Agricultural Economics, 69(2), 328-337. [DOI:10.2307/1242283]
17. 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:10.1016/j.jclepro.2017.03.099]
18. Lopez, R. E. (1980). The Structure of Production and the Derived Demand for Inputs in Canadian Agriculture. American Journal of Agricultural Economics, 62(1), 38-45. [DOI:10.2307/1239470]
19. Lotfalipour, M. R., Falahi, M. A., & Zohoorian, E. (2018). The Review of Substitution between Energy and Labor in Industry Sector of Iran (With Emphasis on Environmental Policy). Quarterly Energy Economics Review, 13(55), 39-68. [Link:http://iiesj.ir/article-1-839-fa.html]
20. Morishima, M. (1967). A Few Suggestions on the Theory of Elasticity. Keizai Hyoron (Economic Review), 16(1), 144-150.
21. Moss, C. B., Erickson, K. W., Ball, V. E., & Mishra, A. K. (2003). A Translog Cost Function Analysis of US Agriculture: A Dynamic Specification. Paper Prepared for Presentation at the American Agricultural Economics Association Annual Meeting, Montreal, Canada.
22. Ray, S. C. (1982). A Translog Cost Function Analysis of US Agriculture, 1939-1977. American Journal of Agricultural Economics, 64(3), 490-498. [DOI:10.2307/1240641]
23. Shahbazi, M., & Fadaee, M. (2017). The Relationship between Production Inputs and Energy Carriers in Iran's Manufacturing Sector. The Journal of Planning and Budgeting, 21(4), 134-171. [Link:http://jpbud.ir/article-1-1501-en.html]
24. Stern, D. I. (1994). Accuracy of the Translog Function. Applied Economics Letters, 1(10), 172-174. [DOI:10.1080/135048594357943]
25. Varian, H. (1992). Microeconomic Analysis: WW Norton and Company.
26. Wales, T. J. (1977). On the Flexibility of Flexible Functional Forms: An Empirical Approach. Journal of Econometrics, 5(2), 183-193. [DOI:10.1016/0304-4076(77)90023-9]
27. White, H. (1980). Using Least Squares to Approximate Unknown Regression Functions. International Economic Review, 21(1), 149-170. [DOI:10.2307/2526245]

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

© 2024 CC BY-NC 4.0 | Planning and Budgeting

Designed & Developed by : Yektaweb