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The Relationship Between Fiji Sugar Corporation's Profitability And THE RELATIONSHIP BETWEEN FIJI SUGAR CORPORATION’S PROFITABILITY AND SUGARCANE PRODUCTION The relationship between Fiji Sugar Corporation’s profitability and sugarcane production Biman Chand Prasad and Paresh Kumar Narayan The Fiji Government’s inability to resolve the differences Paresh Narayan is a Lecturer over land leases is widely seen as a major contributor to the in Economics in the difficulties experienced by the sugar industry. In this paper, Department of Accounting, however, a different perspective is provided on the Finance and Economics, Griffith University. industry’s problems. In examining the relationship between the profitability of the Fiji Sugar Corporation and sugarcane Biman Chand Prasad is production, it is found that profitability has had a Associate Professor and statistically significant negative effect on sugarcane Head of the Department of Economics at the University production, leading to the conclusion that the Fiji Sugar of the South Pacific. Corporation has been inefficient in the management of the mills, the rail transport system, and sugarcane research. The sugar industry has been in the vanguard Union and the United States has also been a of Fiji’s economic growth and development concern for farmers, reducing the incentive for over a century. In recent years, however, to produce sugarcane in a sustainable the industry has been declining in terms of manner. Despite the plethora of studies on both production and exports. The inability Fiji’s sugar industry, there has been no of the government to resolve the deadlock analysis of the relationship between sugar- over the renewal of land leases is widely seen cane production and the performance of the as the main source of the current problems Fiji Sugar Corporation (FSC). The FSC is in the industry (see, for instance, Prasad and responsible for the milling of the sugarcane, Tisdell 1996, Reddy and Yanagida 1998, Lal the transport system between farm and mill, 2000, Lal, Applegate and Reddy 2001, Reddy management of the sugarcane research 2001, Kurer 2001). The likely reduction of the program, and the provision of advice to preferential prices received in the European farmers through its extension services. It is 19 Pacific Economic Bulletin Volume 19 Number 2 2004 © Asia Pacific Press PACIFIC ECONOMIC BULLETIN vital, therefore, that the relationship between the role of the FSC. As a publicly owned the Fiji Sugar Corporation’s performance and monopsonist, experience in many countries sugarcane production be examined. This would suggest that the FSC would be study aims to estimate a sugarcane production inefficient in its administration and model, augmented with an ‘efficiency’ operations and extract ‘economic rents’ variable—the Corporation’s profitability—in through charging higher-than-market prices order to gauge whether it has been efficient for its services. As an institution that controls in its management and support of sugarcane most parts of the industry, it was expected to production. promote efficiency at all levels in anticipation of the reduction or even expiry of the preferential prices received for exports to the Fiji’s sugar industry European Union and the United States. We argue that one of the reasons for the Sugar contributes about 7 per cent of Fiji’s near collapse of the FSC recently is that it gross domestic product (GDP) and generates has concealed its inefficiency and mis- 22 per cent of total exports. With 85 to 90 per management and its inability to build cent of sugar production exported, sugar capacity in the industry would enable Fijian accounts for 8.5 per cent of total foreign sugar to compete internationally without earnings and generates direct and indirect price subsidies. We further posit that the employment for about 51,000 people (Fiji profits declared annually by FSC for so many 2002). years until 2000 have been at the expense of There are four sugar mills in Fiji, employ- investment to improve the efficiency of mills ing around 4,500 workers. In addition, there and of investment in sugarcane farming are between 14,300 and 15,000 cane cutters research and the transport system. Further- and about 2,000 lorry operators. In all, about more, there has been a low level of investment 25 per cent of the economically active in the mills in order to reduce environmental population in Fiji derive income from the damage. Some of the environmental problems industry. The industry’s labour force is made include solid and liquid waste management up of both family (household) and hired and odour and air pollution. Studies reveal labour. In 1975, there were 16,995 sugarcane that all the sugar mills have become more farmers. By 1998 their numbers had increased waste inefficient. The production of mill- to 22,146, with an average farm holding of mud, ash, bagasse and water use per tonne about 4.6 hectares. Area harvested increased of sugar rose to about 20 per cent between from 44,000 hectares in 1975 to a peak in 1993 1976 and 1996 (Kumar and Prasad 2004). of 75,000 hectares, before falling sharply to It is hypothesised, therefore, that there 45,000 hectares in 2000. Sugarcane production would be an inverse relationship between per hectare increased from an average of 49.1 FSC’s profits and sugarcane production. tonnes in 1975 to 59.2 tonnes in 1993, but fell If the FSC’s activities were beneficial to to 32 tonnes in 2000 (Fiji Bureau of Statistics the industry, there should be a positive 2001). association between these variables. However, Over the past five years there has been if our conjecture that the FSC has been able intense debate as to who or what is responsible to exploit its monopsonistic position to for the dire state of Fiji’s sugar industry. The extract ‘rents’ from the activities it controls inefficiency of sugarcane farming and the while undertaking these activities in an apportioning of blame to the farmers for their inefficient manner is correct, the relationship inefficiency have been at the forefront of this between FSC profits and sugarcane production debate. Often ignored, however, has been should be negative. 20 Pacific Economic Bulletin Volume 19 Number 2 2004 © Asia Pacific Press THE RELATIONSHIP BETWEEN FIJI SUGAR CORPORATION’S PROFITABILITY AND SUGARCANE PRODUCTION Model specification and data The Fiji Sugar Corporation is a government-owned organisation that took Following Narayan (2004), a Cobb-Douglas over from the colonial company, South Pacific specification for sugar production in Fiji is Sugar Mills Ltd, in 1973—three years after adopted. We use the same data set (for the Fiji’s independence. The Corporation took period 1970–2000), where the proxies used charge of the sugar industry and provided for capital are area harvested and fertiliser research and extension facilities to farmers use and the proxy for the labour force variable and became the sole buyer of sugarcane. It is the number of growers. Narayan modelled also controlled the rail system, which remains the impact on production of the price paid a major means of transporting cane to the to sugarcane farmers. We do not include mills. Like other publicly owned, monopolistic this variable because of the small sample enterprises, FSC has had no motivation to available and the limited degrees of freedom; behave efficiently, including investing in instead, consistent with our aim, we include new technology and using innovative the profits of FSC as an explanatory variable. marketing techniques. The lack of competition We also include a dummy variable to capture in the milling sector and the support of the the impact of the expiry of sugarcane land government to ensure that the mills continued leases because of the adverse impact that this operations, despite making losses, must is likely to have had. Hence, the long-run explain in large part the present sorry state model of sugarcane production takes the of the mills. following form The model is estimated using annual data between 1970 and 2000. This period and SCP =α +α AH +α LAB +α FER frequency is chosen because it provides the t 0 1 t 2 t 3 t most consistent data set available. All data (1) +α4 PROFITt +α5 LEASET+ ε t were extracted from official publications such as the Current Economic Statistics, published Here, a0 represents a constant, SCPt represents by Fiji’s Bureau of Statistics, the Reserve Bank sugarcane production (‘000 tonnes) at time of Fiji Quarterly and Fiji Sugar Corporation t, AHt represents the area harvested (‘000 annual reports. hectares) at time t, LABt represents labour force at time t, FER represents fertiliser use t Econometric estimation at time t, PROFITt represents FSC’s real profits/loss, and a0 represents the error term which satisfies the classical properties. Johansen test for cointegration Area harvested, labour force and fertiliser Tests for cointegration between variables are use are expected to contribute positively now a regular part of any econometric to sugarcane production so the a priori estimation. The concept of cointegration was α α α expectation was that 1, 2 and 3 would be pioneered by Granger (1981) and extended greater than zero. The expected sign on the by Engle and Granger (1987). It is based on profit variable is a priori ambiguous. If, for the premise that, as is common knowledge instance, it is positive it reflects the now, many economic time-series are non- FSC’s efficiency in managing production; stationary. In spite of this, an appropriate however, if it is negative it reflects the FSC’s linear combination between trending inefficiencies. Finally, we expect the expiry variables can remove the common trend of sugarcane land leases to negatively affect component. The resulting linear combinations sugarcane production. of the time-series variables will be stationary, 21 Pacific Economic Bulletin Volume 19 Number 2 2004 © Asia Pacific Press PACIFIC ECONOMIC BULLETIN implying that the relevant time-series Johansen’s approach derives maximum variables are cointegrated.
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