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The Comparative Analysis of Technical Efficiency of Jasmine Rice Production in Thailand Using Survey and Measurement Dat

2. Outline. 1. Significance of the Study2. Key questions and objectives3. Data and Model Specifications4. Empirical Results 5. Policy Implications and Conclusions. 3. Jasmine rice of Thailand is of premium quality and its export share has increased substantially due to its high price.How

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The Comparative Analysis of Technical Efficiency of Jasmine Rice Production in Thailand Using Survey and Measurement Dat

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    2. 2 Outline 1. Significance of the Study 2. Key questions and objectives 3. Data and Model Specifications 4. Empirical Results 5. Policy Implications and Conclusions

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    10. 10 Data on rice yield of crop year 1999/2000 were collected from two different methods: 1. Interviewing farmers (called survey data) 2. Measuring the rice weight from sample plots in the field (called measurement data) ***The same 130 farmers provided two types of yield data*** 3. Data and Model Specifications 3.1 Data on Rice Farmer Samples

    11. 11 Sampling procedure 1. Three selected major Jasmine rice production areas in the upper north, lower north and north east regions (Chiang Mai Province, Pitsanuloke Province and TungGula Rongha rice Plane) 2. Districts of most intensive Jasmine rice were selected 3. For the survey:- Simple random sampling of farm unit of observations For the measurement:- three-one square meter plots along the diagonal of a rice field were randomly selected

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    18. 18 Production function For the measurement data model (Model 1): * The major production variables: Seed(+) * The dummy variables: dummy variables for neck blast(-), severe drought(-) TGR(-), irrigation(+) and chemicals(+) For the survey data model (Models 2 and 3): * Model 2:- There is no single variable affect the management efficiency of farmers * Model 3:- Generally the significant variables have the expected sign except fertiliser and labour variables The dummy variables: dummy variables for neck blast(-), severe drought(-), Phitsanuloke Province(-), and chemicals(+) 4.2 Production frontier estimates

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    20. 20 Inefficiency equation For the measurement data model (Model 1): * Education(-), Age(-) ? the higher formal education and older farmers tended to reduce the TI in Jasmine rice production For the survey data model (Models 2 and 3): * Model 3:- Human resource variables became highly significant Labour Ratio(-) ? Higher labour force ratio in Jasmine rice tended to have smaller TI

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    26. 26 * Apart from the robust variables, the remaining weak determinants would generate different values of estimate and which are highly sensitive to model specification. * Agricultural economists and users of survey data, therefore, should be cautioned to pay special attention to survey design so as to minimize error. * The test of model specification might be an effective means to detect the errors in estimation due to the choice of variables. 5. Policy implications and conclusions (cont.)

    27. 27 Thank you very much

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