9 rates, rainfall and lagged acreage. Results were examined within the framework of various a priori hypotheses about supply responsiveness of tobacco farmers. Although some factors such as price of competing crops will be adopted, agricultural wage rates will not be considered because the data is not readily available. Furthermore, Muchapondwa (2008) estimated aggregate tobacco supply response in Zimbabwe using time series data for the period 1970 to 2000. The autoregressive distributed lag (ARDL) approach to cointegration capturing both short-run and long-run dynamics was employed. Variables
included were current prices, lagged tobacco prices and output. Short-run and long-run price elasticities of supply were estimated at 1.21 and 0.18 respectively indicating that tobacco output is responsive to prices in the short-run only. The study concluded that agricultural price policies are blunt instruments for effective growth in agricultural supply and thus provision of non-price factors must play a key role in reviving the agricultural sector in Zimbabwe. Although tobacco output was found to be highly responsive to price incentives in the short-run, the study did not include most of the non-price factors such as extension,
population of farmers, credit and research. An empirical investigation on the supply of maize and tobacco for commercial agriculture in Zimbabwe employing the Error Correction Model (ECM) was presented by Townsend and
Thirtle (1997). Annual time series data for the period 1970 to 1989 were collected on expected maize price,
real tobacco price, fertiliser prices and government intervention. Area planted to tobacco was treated as the dependent variable. Real price of tobacco, expected price of maize and institutional factors were found significant whilst fertiliser price was found insignificant. Short run and long run price elasticities for maize were 1.44 and 1.76 whilst for tobacco were
0.28 and 1.36 respectively showing that commercial farmers are unresponsive to output prices in the short-run. The results were consistent with a priori expectations. However, the use of area planted as a dependent variable may not be a correct measure of output since farmers can also increase output by farming their land more intensively rather than by utilising more land. Making use of a logarithmic
supply response equation, Dean (1966) carried a study in Malawi with an attempt to find out whether African tobacco farmers are responsive to price changes in the same manner as farmers in developed countries. Time series data for lagged tobacco prices, lagged wage rates and population of tobacco growers for the 35 years from 1926 to 1960 were
10 used. A long-run price elasticity of supply for tobacco was found to be 0.48 implying that tobacco farmers are unresponsive to changes in prices. All variables except for wage rate were found significant at 1% level. Therefore in this study, similar results to Dean’s (1966) findings for Malawi are expected since both Malawi and Zimbabwe are Southern Africa developing countries.
Thiele (2002) carried a study attempting to answer the question of
how responsive are farmers in Sub-Saharan Africa to both price and non-price incentives. The study employed the Johansen's multivariate approach to cointegration using time series data for the period 1965 to 1999. The main objective was to investigate the long-run effect of pricing policies, macroeconomic distortions and non-price factors for ten selected countries. A double log-form equation was employed and variables included were output,
real prices, real exchange rate and dummy variable for drought and irrigation. Estimated supply elasticities were found to lie between 0.2 and 0.5 and also the study found out that drought episodes have a negative significant impact on agricultural growth of six of the ten sample countries. The deterministic time trend used as a proxy for technical progress was found to have a small positive significant impact on agricultural output. Although macroeconomic distortions were included by Thiele (2002), they will not be used in this study because of lack of data on macroeconomic distortions.
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