Еconomic assessment of labour costs in regional timber industry complex productions on the inter-product analysis basis
DOI:
https://doi.org/10.17072/1994-9960-2019-2-349-365Abstract
Determination of the ways to improve the efficiency of regional timber production complex requires the development of a methodological approach to the diagnosis of intra-complex imbalances, and a tool of inter-product balance and a system of private balances (core resources) can become the approach basis. The article discusses the problem of applying the balance method to the study of the main production of regional timber industry and the consumption of basic production resources. In particular, labour resources (direct and full labour costs) have been investigated on the basis of the inter-product balance of the timber industry complex of Arkhangelsk Region. The purpose of the research is to develop techniques for labour costs assessment in the regional timber industry complex production. The techniques will allow us to reveal different structural changes in the total labour costs on the interproduct balance. The object of the study is the relationship between the productions of the timber industry in Arkhangelsk region and its workforce. Direct and total labour costs in the main productions of the timber industry are considered to be the subject of the research. Economic and mathematical methods for inter-product balance development and local balances of labour resources and methods of inter-industrial analysis are used in the study. The novelty of the research concerns the application of the balance method to the study of the regional timber industry complex, in particular the development of an original inter-product balance of the timber industry complex and the system of local balances that will allow obtaining fundamentally new information about the production resources of the complex, and the efficiency of their application. Practical importance of the study concerns the idea that the developed method and the modified system of indicators of labour resources calculated on the inter-product balance basis will be useful for revealing intra-complex imbalances and for monitoring the development of the timber industry complex of Arkhangelsk region. Calculation methods for labour cost assessment indicators based on the model of inter-product balance may also be of interest when justifying the measures of regulatory impact on the activities of enterprises of other industrial complexes in the course of identification and analysis of the relevant intra-complex imbalances. Further studies will be devoted to the improvement of the model of inter-product balance to assess the balance of both the labour resources of the main industries of the regional timber industry, and fixed and current assets.
Keywordstimber industry complex, balance method, inter-product balance, development disproportions, coefficients of direct labour costs, coefficients of total labour costs, material costs, labour productivity, timber cutting, woodworking production, pulp and paper production
For citationMyakshin V.N., Pesyakova T.N. Еconomic assessment of labour costs in regional timber industry complex productions on the inter-product analysis basis. Perm University Herald. Economy, 2019, vol. 14, no. 2, pp. 349–365. DOI 10.17072/1994-9960-2019-2-349-365
References1. Haugen D.E. Wisconsin timber industry, 2013. Resource Update FS-125. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station, 2017. 5 p.
2. Granberg A.G., Ivanter V.V., Komkov N.I. Prognozirovanie perspektiv tekhnologicheskoi modernizatsii ekonomiki Rossii: Monografiya [Forecasting the prospects for technological modernization of the Russian economy: A monograph]. Moscow, MAKS Press Publ., 2010. 814 p. (In Russian).
3. Shniper R.I. Region: Ehkonomicheskie metody upravleniya [Region: Economic Management Methods]. Novosibirsk, Nauka, Sibirskoe otdelenie Publ., 1991. 308 p. (In Russian).
4. Grant J.A., Balraj D., Davison J., Mavropoulos-Vagelis G. Network governance and the African Timber Organization: Prospects for regional forestry governance in Africa. In book: New approaches to the governance of natural resources, Palgrave Macmillan, London, 2015, pp. 154–180.
5. Stewart H.T.L., Young B., Williams D.F. Socio-economic impact of the timber industry in Gippsland. Report prepared for the Department of Planning and Community Development, Victoria. Wangaratta: Trees Victoria Incorporated, 2012. 100 p.
6. Kiseleva A.A. Sozdanie regional'nogo lesopromyshlennogo klastera kak osnova povysheniya konkurentosposobnosti otrasli [Cluster in regional timber processing complex as the basis for its competitive growth]. Vestnik Permskogo universiteta. Seriya Ekonomika [Perm University Herald. Economy], 2014, no. 3 (22), pp. 52–57. (In Russian).
7. Muszynski L., Hansen E., Fernando S., Schwarzmann G., Rainer J. Insights into the global cross-laminated timber industry. BioProducts Business, 2017, pp. 77–92.
8. Barber D. Tall timber buildings: What’s next in fire safety? Fire Technology, 2015, vol. 51, iss. 6, pp. 1279–1284.
9. Azevedo-Ramos C., Silva J.N.M., Merry F. The evolution of Brazilian forest concessions. Elementa. Science of the Anthropocene, 2015, vol. 3. doi: http://doi.org/10.12952/journal.elementa.000048.
10. Sujová A., Hlaváčková P. Sectoral analysis of competitiveness of wood processing industry in the Czech Republic. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015, vol. 63, iss. 1, pp. 293–302.
11. Pepke E., Bowyer J., Bratkovich S., Fernholz K., Frank M., Groot H., Howe J. Impacts of Policies to Eliminate Illegal Timber Trade. Minneapolis, US, Dovetail Partners, Inc. 2015. 19 p.
12. Ng B.K., Kanagasundaram T. Sectoral innovation systems in low-tech manufacturing: Types, sources, drivers and barriers of innovation in Malaysia’s wooden furniture industry. Institutions and Economies, 2011, vol. 3, no. 3, pp. 549–574.
13. Kwame O.B., Kusi E., Lawer E.A. Occupational hazards and safety practices: a concern among small scale sawmilling industries in Tamale Metropolis, Ghana. International Journal of Scientific and Technology Research, 2014, vol. 3, no. 10. pp. 234–236.
14. Pounds R., Sutcliffe R., Albrow H.A., Binnie C., Nockolds I. The trees and timber industry in Great Britain: Size, Structure and Skills. 2011.
15. Malykhina A.I. Marketingovaya strategiya razvitiya lesnogo khozyaistva [Marketing strategy of forestry development]. Vestnik Permskogo universiteta. Seriya Ekonomika [Perm University Herald. Economy], 2009, no. 4, pp. 5–14. (In Russian).
16. Aganbegyan A.G., Granberg A.G. Ekonomiko-matematicheskii analiz mezhotraslevogo balansa SSSR [Economic and mathematical analysis of the intersectoral balance of the USSR]. Moscow, Mysl' Publ., 1968, 245 p. (In Russian).
17. Dadayan V.S. Balans ekonomicheskogo raiona kak sredstvo planovykh raschetov [The balance of an economic region as a means of planned calculations]. Moscow, Akad. nauk SSSR Publ., 1962. 215 p. (In Russian).
18. Kossov V.V. Mezhotraslevye modeli: teoriya i praktika ispol'zovaniya [Interindustry models: Theory and practice of use]. Moscow, Ehkonomika Publ., 1973. 359 p. (In Russian).
19. Leont'ev V.V. Mezhotraslevaya ekonomika [Inter-sectoral economy]. Moscow, Ekonomika Publ., 1997, 479 p. (In Russian).
20. Liang S., Zhang T., Xu Y. Comparisons of four categories of waste recycling in China’s paper industry based on physical input–output life-cycle assessment model. Waste Management, 2012, vol. 32, no. 3, pp. 603–612.
21. Hayashi M. Structural changes in Indonesian industry and trade: An input-output analysis. The Developing Economies, 2005, vol. 43, no. 1, pp. 39–71.
22. Wiedmann T., Minx J., Barrett J., Wackernagel M. Allocating ecological footprints to final consumption categories with input–output analysis. Ecological Economics, 2006, vol. 56, iss. 1, pp. 28–48.
23. Lenzen M., Murray S., Korte B., Dey Ch.J. Environmental impact assessment including indirect effects – a case study using input–output analysis. Environmental Impact Assessment Review, 2003, vol. 23, no. 3, pp. 263–282. doi: 10.1016/S0195-9255(02)00104-X.
24. Myakshin V.N. Mezhotraslevoi balans kak instrument dlya razrabotki regional'noi investitsionnoi strategii [Intersectoral balance as a tool for developing a regional investment strategy]. Regional'naya ekonomika: teoriya i praktika [Regional Economics: Theory and Practice], 2013, no. 30. pp. 37–46. (In Russian).
25. Lobovikov T.S. Ekonomika kompleksnogo ispol'zovaniya drevesiny [Economics of complex use of timber]. Moscow, Lesnaya promyshlennost' Publ., 1976. 168 p. (In Russian).
26. Petrov A.P. Khozyaistvennyi mekhanizm v lesnom komplekse [Economic mechanism in the forest complex]. Moscow, Lesnaya promyshlennost' Publ., 1990. 292 p. (In Russian).
27. Xu M., Cao X., Hansen E. China’s wood furniture industry. Asian timber, 2003, vol. 9, no. 3, pp. 35–39.
28. Hewings G.J.D. Regional industrial analysis and development. Routledge, 2017. 186 p.
29. Pietroforte R., Gregori T. An input-output analysis of the construction sector in highly developed economies. Construction Management and Economics, 2003, vol. 21, iss. 3, pp. 319–327.
30. Gerrand A., Keenan R.J., Kanowski P., Stanton R. Australian forest plantations: An overview of industry, environmental and community issues and benefits. Australian Forestry, 2003, vol. 66, no. 1, pp. 1–8.
31. Bernard J.T., Hussain J. The Canada–United States productivity puzzle: Regional evidence of the pulp and paper industry, 1971–2005. Canadian Journal of Forest Research, 2017, vol. 47, no. 6, pp. 735–742.