Auto Regressive Integrated Moving Average (Arima)model for Forecasting the Production, Export and Import of Wood Based Panel in India

Auto Regressive Integrated Moving Average (Arima)model for Forecasting the Production, Export and Import of Wood Based Panel in India

Authors

  •   V. K. Upadhyay   Indian Plywood Industries Research and Training Institute (IPIRTI), Yeshwantpur, Bangalore
  •   B. N. Mohanty   Indian Plywood Industries Research and Training Institute (IPIRTI), Yeshwantpur, Bangalore
  •   Anand Nandanwar   Indian Plywood Industries Research and Training Institute (IPIRTI), Yeshwantpur, Bangalore
  •   D. N. Uday   Indian Plywood Industries Research and Training Institute (IPIRTI), Yeshwantpur, Bangalore
  •   Ravikala Kamath   Indian Plywood Industries Research and Training Institute (IPIRTI), Yeshwantpur, Bangalore

DOI:

https://doi.org/10.36808/if/2017/v143i11/119705

Keywords:

Wood Based Panel, Production, Import, Export, ARIMA Model, Bayesian Information Criterion, Mean Absolute Percentage Error, R-Squared.

Abstract

This study provides a brief overview of wood based panel's production, export and import of India during the year 1990 to 2013. India has produced 39.14 million m3 wood based panels accounting to 0.79% of the global share. The major importing countries of wood based panels from India are UAE, USA, Turkey, Sri Lanka, Bangladesh, Saudi Arab and Nepal and major exporting countries to India are Malaysia, China, Indonesia, Thailand and Bhutan. The current scenario shows that production of Indian wood-based panel was 3.39 million m3 in 2013 and compound annual growth rate (CAGR) is 10.52% during 1990-2013. The CAGR on import of wood based panels during 1990-2013 was 24.54% (Quantity) and 25.1% (Value) whereas Export was 9.66% (Quantity) and 11.97% (Value). In this study ARIMA (0,1,2) with R2: 0.95 for the production, MA(2) with R2: 0.50 for the export and ARIMA (0,1,2) with R2: 0.93 for the import were found to be suitable models for forecasting. From the analysis it has been estimated that India will be producing 5.16 million m3 of wood based panels whereas import is expected at 1.87 million m3 and the export will be 0.239 million m3 by the year 2020.

References

Approved Annual Plan (2012-13). Planning Commission of India, http://planningcommission.gov.in/plans/stateplan/outlay.php?state=b_outbody.htm

British Columbia Forest Products – (2008-2009).Trend analysis in export markets: wood products. Annual Report, ForestryInnovation Management, 1-100.

Box G. and Jenkins G. (1970).Time-Series Analysis: Forecasting and Control, San Francisco. CA: Holden-Day Press. 784.

Country Report (2010).Asia Pacific Forestry Sector Outlook Study–II. Ministry of Environments and Forest, Govt. of India, pp:1-108.

Forests and Wildlife Statistics India (2004). Published by Ministry of Environments and Forest, Govt. of India, five year plans section, 4: 4.2.

Forestry Statistics of India (2011 and 2013). Published by ICFRE, Ministry of Environment and Forest, Govt. of India.

Gross Domestic Product by Economic Activity at Current Prices. Ministry of Statistics and Programme Implementation, Government of India. http://mospi.nic.in/Mospi_New/site/inner.aspx?status=3&menu_id=82

Indian Import and Export (Wood data) (2015). Statistics Database International Tropical Timber Organisation (ITTO) http://itto.int/annual_review_putput, dated 11/05/2015.

India BizClub. Wood based panel Industry in India. http://furniture.indiabizclub.com/info/woodbased_panel_industry_in_india

Liu Q., Liu X., Jiang B. and Yang W. (2011). Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model. BMC Emerg. Infect Dis. 1(1): 218.

Mazid A., Ghorbannezhad P. and Hatefnia H. (2009). Estimation of demand for wood panels in Iran by the year of 2012. J. Forestry Research, 20(2): 179-182.

Mehmat T. (2010). Weather forecasting using ANFIS and ARIMA MODELS, A Case Study for Istanbul Environmental Research. Engineering and Management, 1(51): 5

Mohamad A. (2012). Finding the Best ARIMA Model to Forecast Daily Peak Electricity Demand. ASEARC Conference - Looking to the future Programme and Proceedings, 2-3, February; University of Wollongong.

Mohammad V., Mohammad E.B. and Sayeed M.R.B. (2012). Parameters estimates of Auto regressive moving average andautoregressive integrated moving average models and comparetheir ability for inflow forecasting. J. Mathematics and Statistics, 8(3): 330-338.

Muthoo Maharaj K. (2004). Review of the Indian timber market. Project Report, International Tropical Timber Organisation, 1-281.

National Agroforestry Policy (2014). Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India, New Delhi, 113. http://agricoop.nic.in/imagedefault/whatsnew/Agroforestry.pdf

Olajide J.T., Ayansola O.A., Odusina M.T. and Oyenuga I.F. (2012). Forecasting the Inflation Rate in Nigeria: Box Jenkins Approach. IOSR J. Mathematics (IOSR-JM), 3(5):15-19.

Revised estimates of annual national income 2011-12 (2012). Press note, Ministry of External Affairs, Govt.of India.

Tajdini A., Mofrad H., Latibari A.J. and Roohnia M. (2011). Analysis of wood-based panels import to Iran: simultaneous equations model approach. African J. Business Management, 5(34):13169-13175.

Uddin J. (2009). Time series behavior of imports and exports of Bangladesh: evidence from co-integration analysis and error correction model. Inter. J. Economic and Finance, 1:2.

Upadhyay V.K. (2013). Modeling and forecasting export and import of Indian wood based panel using ARIMA models. Elixir Inter. J. Statistics, 63:18145-18148.

Upadhyay V.K. (2014). Statistical analysis of export and import of wood based panels in India. Elixir Inter. J. Statistics, 67:21180-21184.

Upadhyay V.K., Kamath R.K. and Pandey C.N. (2014).Wood based panels scenario in BRICS countries. Indian Forester, 140 (11):1066-1073.

Upadhyay V.K., Nath S.K. and Uday D.N., NandanwarAnand and Kamath R.K. (2016).Study on trend analysis of wood based panels in India. IPIRTI, Research Report, 188:1-40.

Wikipedia encyclopedia, Economy India, (2012). https://en.wikipedia.org/wiki/Economy_of_India#cite_note- IMF_GDP-1

Wold H.A. (1938).Study in the Analysis of Stationary Time Series. Stockholm: Almquist and Wiksell.

Yule G.U. (1927). On a Method of Investigating Periodicities in Disturbed Series, with Special reference toWolfer's Sunspot Numbers. Philosophical Transactions, (A) 226:267-98.

Zajac S. (1998). An analysis of export and import of wood and wood-based products in Poland in 1987-1996. Sylwan, 142(4): 5-18.

Downloads

Download data is not yet available.

Published

2017-11-01

How to Cite

Upadhyay, V. K., Mohanty, B. N., Nandanwar, A., Uday, D. N., & Kamath, R. (2017). Auto Regressive Integrated Moving Average (Arima)model for Forecasting the Production, Export and Import of Wood Based Panel in India. Indian Forester, 143(11), 1191–1202. https://doi.org/10.36808/if/2017/v143i11/119705

Most read articles by the same author(s)

1 2 > >> 
Loading...