The Relationship between Petroleum Prices, Biodiesel Demand and Malaysian Palm Oil Prices: Evidence from Simultaneous Equation Approach

SHRI DEWI A/P APPLANAIDU (PhD) FATIMAH MOHAMED ARSHAD (Prof., PhD) MAD NASIR SHAMSUDIN (Prof., PhD) ZULKORNAIN YUSOP (Assoc. Prof., PhD) Talking points at the 3rd Agribusiness Economics Conference, The Apo View Hotel, Davao City, Phillipines, 13-14 July 2011.

Presentation Outline 1

Introduction

2

Literature Review

3

Theoretical Framework & Model Specification

4

Methodology

5

Findings

6

Conclusion

2

1

Introduction An Overview of the Malaysian Economy

The relationship between biofuel feedstocks and crude oil prices Palm biodiesel demand in Malaysia

3

An Overview of the Malaysian Economy contd.

Source: Department of Statistics Malaysia 2010.

Figure 1: Sectoral 2010 GDP (%) 4



• • •

An Overview of the Malaysian Economy Peninsular Malaysia - rubber, palm oil, cocoa, rice; Sabah - subsistence crops, coconuts, rice; rubber, timber; Sarawak - rubber, timber; pepper Palm oil is the second largest contributor to external trade after electrical and electronic products in Malaysia. Export earnings from oil palm products reached RM59.77 billion in 2010. Palm oil industry plays a major role in the Malaysian agriculture sector.

5

An Overview of the Malaysian Economy: Palm Oil In Malaysia Palm oil production

Year end closing stock

CPO prices (Fig 2)

6

20000000

3000

18000000 2500 16000000

14000000

Tonnes

12000000

1500

10000000

8000000 1000 6000000

4000000 500 2000000

0

0

Year CPO Production

CPO Stock

CPO Domestic Price

Source: MPOB Database. Accessed on 20/01/2010.

Figure 2: Crude Palm Oil Production, Closing Stock of CPO in Malaysia (tonnes) and Domestic Price (RM/tonne), 1975-2009

7

RM/tonne

2000

The relationship between biofuel feedstocks and crude oil prices The prices of biofuel feedstocks such as palm, soybean and rapeseed oils as well as maize are now…As the price of crude oil increase, the demand for biofuel feedstock will follow suit … Between 1980 and 2001 the crude oil prices was between USD 11 per barrel and USD 40 per barrel compared to USD 18 per barrel in 2001 and USD 133 per barrel in 2008 and as of May 2011 it is USD 114.14 per barrel. Starting from 2001, that is after the 9/11 incident, followed by the Iraq invasion in 2003, the price of petrol rallied upwards. It has increased 6 fold from USD 19 per barrel in Sept. 2001 to USD 133 per barrel in July 2008. A similar pattern was observed on the prices of maize and selected vegetable oils.

Crude Oil: Crude Oil (petroleum), simple average of three spot prices; Dated Brent, West Texas Intermediate, and the Dubai , USD per tonne; Rapeseed oil: Crude, fob Rotterdam; Palm oil: Malaysia Palm Oil Futures (first contract forward), 4-5 percent FFA, USD per metric tonne; Soybean Oil: Soybean Oil, Chicago Soybean Oil Futures (first contract forward) exchange approved grades, USD per metric tonne; Maize (Corn): U.S. No. 2 Yellow, FOB Gulf of Mexico, U.S price, USD per metric tonne Source: ISTA Mielke GmbH, Oil World, various isues; International Monetary Fund, 2010.

Figure 3: Prices of Crude Oil, Maize, Palm Oil, Soybean Oil and Rapeseed Oil, January 1980 – December 2010(USD per tonne)

8

Palm Biodiesel Demand in Malaysia

Factors motivated the development of the biodiesel industry in Malaysia

9

Issue Malaysian palm oil market witnessed many recent developments, and it is realized that a timely study to investigate the changes in market variables is very important. Objective of the study To estimate and analyse the relationship between world crude oil prices, biodiesel demand and the Malaysian palm oil price Significance of the Study Estimate and analyse the relationship between the different components of the industry to provide an updated tool for policymakers.

10

5

Literature Review

Theoretical framework and empirical evidences on the agricultural commodity modeling

• Basic structure of the model (Labys, 1973; Adams, 1975 and Adams and Behrman, 1976). • Malaysian palm oil market (Yusoff, 1988; Au and Boyd, 1992; Shamsudin and Ashad, 1993 and Talib and Darawi, 2002). • Factors affecting palm oil prices and forecasting palm oil prices (Arshad and Ghaffar, 1986; Shamsudin et al., 1988 and Shamsudin et al., 1994). • Export tax and exchange rate (Yusoff, 1988). • Other palm oil market model & simulation studies (Abdullah et al.,1993; Shamsudin et al., 1994; Lubis 1994; Alias et al., 1999; Talib and Darawi, 2002; Alias et al. 2006; Shri Dewi et al. 2007, Talib et al. 2007, Abdullah et al. 2007 and Shri Dewi & Alias, 2009).

In this connection, the review of studies is empahasized on perennial and annual crops 11 and it is disaggregated into supply response, demand, price and stock.

Literature Review contd. • Production and Acreage: • FAPRI, (2001); Otto and Gallagher (2001); Bothast (2005); Ferris and Joshi (2005); FAPRI (2005); Urbanchuk, (2001); Westcott (2007a), Ferris and Joshi (2004), Su Ye (2006) and Susanto et al., (2008). • Demand • Domestic Demand

• FAPRI, (2001); von Lampe, (2006) and Westcott (2007a), Ardakani (2009) • Export Demand • FAPRI, (2001); Taylor et al., (2006), Westcott (2007a) • Price • Ferris and Joshi (2004); Park and Fortenberry, (2007); FAPRI, (2005); Otto and Gallagher (2001); Yahaya et al., (2006); Abdullah et al., (2007); FAPRI (2001), von Lampe, (2006); Taylor et al., (2006) and Ardakani (2009). • Other Crops • Westcott (2007a) and Taylor et al., (2006)

12

Literature Review contd. ‰ All the empirical studies support the contention that: - Biofuel demand and petroleum prices provides a new dimension. ‰ The growing importance of palm oil as a feedstock for biodiesel encouraged research on this commodity.

13

6

Methodology Conceptual Framework (Fig. 4)

Structural Econometric Models (Definitions Table 1) Data and Data Sources •Department of Statistics Malaysia, MPOB, Oil World & IFS. •Time series annual data (1976-2010)

Estimation of Structural Equations (Table 2)

SEM (Non Linear 2SLS) •Rules for identification (order & rank condition) •Standard Unit Root Test •ADF, PP & KPSS •Cointegrating test

14

Methodology contd… Net Trade Equilibrium Total Supply

Price

Domestic Price Import

Stock

Production (Estate and Smallholders)

Total Demand

Price Linkage

World Price Export Demand

Biodiesel Demand

World Demand

Domestic Demand Palm Oil for Biodiesel Planted Acreage

Yield

-Climate (rainfall, temperature) -Type of soil -Seed quality -Fertilizer price -Environment -Domestic price -Lagged yield

Technology

-Lagged domestic demand -Domestic price -Price of palm oil substitute -Economy activity level -Population

-Expected return (expected producer price, price of competitive crop; price of rubber) -Cost of production (Cost of inputs, wage rate and others) -Government policies (Replanting grant smallholders, other subsidy schemes) -Lag of area planted -Time

-Lagged export demand for biodiesel -World price -World prices of palm oil substitute (price of soybean oil, price of rapeseed oil) -Economy activity level -Exchange rates -Export duty -Import duties in Importing countries -World population -Price of Crude Oil

Note: The arrow indicate major directions of influence Source: Adapted with modifications from Shamsudin et al. (1994), Lubis (1994) and Ernawati (2004). Figure 4: General Structure of Malaysian Market Model for Palm Oil

108

Palm Oil for Non Biodiesel

-Lagged export demand for other than biodiesel -World price -World prices of palm oil substitute (price of soybean oil) -Economy activity level -Exchange rates -Export duty -Import duties in importing countries -World population

Importing Countries -Japan -India -USA -UK -Netherlands -The Rest of EEC -The Rest of Importing Countries

15

Back to slide 17

Methodology contd… Table 1: Definition and Classification of Variables Definition of Variables a. Endogenous Variables 1. POQt = 2. CPOM t = 3. WEXCDDt = 4. DCCPOt = 5. MXPOBDt = 6. MXPONBDt = 7. ROWEXCSSt = 8. CPOPt = 9. POWPt = 10. STOCKt = 11. MEXCSSt = 12. WEXCSSt = 13. WSTOCKt = b. Exogenous Variables 1. CPOPNRPt = 2. CPOPNRPt-3 = 3. GOVDEt-3 = 4. IRt-3 = 5. Tt = 6. PSBt = 7. GDPt = 8. WGDPt = 9. WSTOCKt = 10. MPOPt = 11. PRSOt = 12. GDPBDt = 13. ERt = 14. PCOt = 15. WPOPt = 16. ROWPOQ t = 17. BDDDt = 18. ROWSTOCKt = c. Predetermined Variables 1. POQ t-1 = 2. CPOM t-1 = 3. WEXCDDt-1 = 4. DCCPO t-1 = 5. MXPOBD t-1 = 6. MXPONBD t-1 = 7. ROWEXCSS t-1 = 8. CPOPt-1 = 9. POWPt-1 = 10. STOCKt-1 =

Palm oil production (tonnes) Palm oil import (tonnes) World excess demand (tonnes) Domestic consumption of palm oil ( tonnes) Export demand of palm oil for biodiesel (tonnes) Export demand of palm oil for nonbiodiesel (tonnes) Rest of the world excess supply (tonnes) Real domestic price of CPO (RM/tonne) Real world price of CPO (USD/tonne) Malaysian ending stock (tonnes) Malaysian excess supply (tonnes) World excess supply (tonnes) World stock (tonnes) Relative price of CPO and natural rubber Relative price of CPO and natural rubber lag three years Government agricultural and rural development expenditure lag 3 years(RM million) Interest rate lag three years (%) Time trend World price of soybean oil (USD/tonne) Malaysia GDP (RM million) World income (USD million) World stock of palm oil (tonnes) Malaysian population (million people) Real price of rapeseed oil (USD/tonnel) Biodiesel importing countries GDP (USD billion) Exchange rate (RM/USD) Price of crude oil (USD/barrel) World population (million people) Rest of the world production (tonnes) Biodiesel demand (tonnes) Rest of the world stock of palm oil (tonnes) Malaysian production of CPO lag one year (tonnes) Palm oil import lag one year (tonnes) World excess demand lag one year (tonnes) Domestic Consumption lag 1 year ( tonnes) Export demand of palm oil for biodiesel lag 1 year (tonnes) Export demand of palm oil for nonbiodiesel lag 1 year (tonnes) Rest of the world excess supply lag 1 year ( tonnes) Domestic price of CPO lag one year (RM/tonne) World price of palm oil lag 1 year (USD/tonne) Stock one period lag (tonnes)

16 Back to slide 17

7

Findings Table 2: Estimated Structural Equations

Supply Malaysian Palm Oil Production = -663.354 + 96.555CPOPNRPt-1 + 277.814CPOPNRPt-3 – 314.426IR POQt (-0.69) (0.63) (1.72)* (-2.87)*** = 0.9828 F stat=184.16 DW=1.9447

t-3

+ 1.123GOVDE (3.02)**

+ 419.227T (13.78)***

t-3

Malaysian Import = LCPOMt

-12.430 – 8.220LPOWPt + 5.054LPSBt + 3.767LGDPt - 0.811LSTOCKt (-0.68) (-2.04)** (1.06) (3.61)*** (-0.56) = 0.5752 F stat=11.15 DW=1.839

World Excess Demand (World Import) = 17.363 - 0.363LPOWP t+ 0.1058LPSBt + 0.5000LWEXCDDt-1 LWEXCDDt (134.04)*** (-3.61)*** (1.02) (22.06)*** = 0.9916 F stat= 1183.83 h=-0.7814 Demand Domestic Consumption LDCCPOt

=

0.8790 - 0.1612LCPOPt + 0.6299LGDPNt + 0.0402LPSBt + 0.5076LDCCPOt-1 (0.68) (-2.44)** (4.83)*** (0.91) (6.57)*** =0.9885 F stat=642.67 h=-0.5097

Export Demand =

LXPOt

2.9633 - 0.3235LPOWPt + 0.3124LERt + 0.3136LPSBt + 0.2800LWGDPt + 0.6128LXPOt-1 (4.91)*** (-3.22)** (2.74)** (2.64)** (2.33)*** (6.03)** =0.9886 F stat=501.95 DW=2.09

Rest of the World Excess Supply (Rest of the world Export) LROWEXCSS = -6.0320 + 0.05997LPOWP t+1.1233LROWPOQt+0.1531LROWEXCSSt-1 (-4.02)*** (0.56) (5.20)*** (0.96) =0.9636 F stat=265.55 h=1.176 Price Domestic Price LCPOP

= 4.0147 - 0.1200LSTOCKt + 0.3422LPOWPt+0.2283LBDDDt + 0.0908LCPOPt-1 (2.69)** (-1.18) (4.81)*** (6.35)*** (0.64) =0.7892 F stat=26.92 h=1.15

World Price LPOWP

Identities STOCKt MEXCSSt WEXCSSt WSTOCK

=

= = = =

4.9940+0.0159LPSB t+0.1742LPCOt+ 0.0011LPOWP (13.29) (2.09)** (1.96)* 2.94)*** =0.5584 F stat=10.17 h=1.44

STOCKt-1 + POQt + CPOMt –DCCPOt –XPOt POQt - DCCPOt MEXCSSt + ROWEXCSSt STOCKt + ROWSTOCKt

Note: Number in parentheses are t-values. *** Significant at 1 percent level ** Significant at 5 percent level * Significant at 10 percent level

t-1

17 Back to slide 17

Conclusion The inclusion of new element of biodiesel demand and petroleum prices shows that these variables have a significant effect on the palm oil prices. This study also shows how energy market and agricultural market especially palm oil are intertwined because of biodiesel demand.

18

THANK YOU 19

impact on agriculture of expanding production of ethanol and biodiesel

Data and Data Sources. •Department of Statistics Malaysia, MPOB, Oil World & IFS. •Time series annual data (1976-2010) .... 0.9828 F stat=184.16 DW=1.9447.

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