Data The study used mainly primary data collected through a field survey in January 2010. It used a mixed-method research design in primary data collection. Questionnaire and face-to-face interview techniques were used for collecting data. A structured survey questionnaire was designed with both closed-ended and open-ended questions. Therefore, the datasets included both quantitative (closed-ended) information through using a closed-ended checklist and qualitative (open-ended) information through interviews with participants. The questionnaire included questions on households’ involvement in rice production, rice market and input markets. The choice of this method was warranted to achieve the objectives of the study. The study used both probability and non-probability sampling methods for field surveys to collect primary data. Using convenience and judgment sampling, non-probability sampling methods (Bartlett-II et al., 2008: 47), it selected Comilla amongst the sixty-four districts of Bangladesh for conducting the field survey. 1. Comilla was a pioneer district in the field of the Green Revolution in Bangladesh. It was expected that it might have experienced significant technological transformation in agriculture as a result of agricultural trade liberalization. 2. It is basically an agricultural district. It is neither a hilly nor a coastal area, representing the typical geographical feature, which is conducive to agricultural activities. Therefore, data would not be affected by geographical bias. The farmers of this district produce three crops of rice – Aus, Amon, and Boro, representing the basic characteristics of rice cultivation in Bangladesh. 3. The Bangladesh Academy for Rural Development (BARD), a research institute for agriculture and rural development, is located in the Comilla district. The BARD and other research institutes usually conduct surveys in this district and the participants are familiar with surveys and research. Therefore, it was expected that conducting a field survey in this district would present fewer logistical challenges. According to the Bangladesh Bureau of Statistics (BBS, 2007a), there are thirteen Upazilas (sub-districts) in the Comilla district. They are: 1) Barura, 2) Brahmanpara, 3) Burichang, 4) Chandina, 5) Chauddagram, 6) Daudkandi, 7) Debidwar, 8) Homna, 9) Comilla Sadar, 10) Laksam, 11) Meghna, 12) Muradnagar, and 13) Nangalkot. The study selected Comilla Sadar Upazila, then Chouara Union from that Upazila and finally Shrimontapur village from that union for conducting the field survey. Based on cluster sampling, the households of the selected village were divided into three clusters (A, B and C) and then, using the random sampling technique, cluster C was selected for the field survey. The study surveyed all 60 households from this cluster. Therefore, the sample size of this survey was 60 households of that village. The details of observations are presented. The household head or a senior person of the household who had access to information of all household members answered this structured interview questionnaire. The authors conducted this structured interview through asking participants questions and writing their answers. If a participant did not have information about all members of the household, the participant was not requested to participate in the survey. Therefore, all 60 observations for all questions were found correct/valid and no sample was dropped from the original data set. The study also conducted a Data Exploratory Analysis to identify outliers and no outlier was found in this data set. The study also used time-series data from secondary sources, mainly from ‘Handbook of Agricultural Statistics, December 2007’ (Ministry of Agriculture, 2007). Other sources included BBS (2007) and the Ministry of Finance (2010). Time series data included rice production, average yield and rice market during 1985-2005. questionnaire was designed with both closed-ended and open-ended questions. Therefore, the datasets included both quantitative (closed-ended) information through using a closed-ended checklist and qualitative (open-ended) information through interviews with participants. The questionnaire included questions on households’ involvement in rice production, rice market and input markets. The choice of this method was warranted to achieve the objectives of the study. The study used both probability and non-probability sampling methods for field surveys to collect primary data. Using convenience and judgment sampling, non-probability sampling methods (Bartlett-II et al., 2008: 47), it selected Comilla amongst the sixty-four districts of Bangladesh for conducting the field survey. 1. Comilla was a pioneer district in the field of the Green Revolution in Bangladesh. It was expected that it might have experienced significant technological transformation in agriculture as a result of agricultural trade liberalization. 2. It is basically an agricultural district. It is neither a hilly nor a coastal area, representing the typical geographical feature, which is conducive to agricultural activities. Therefore, data would not be affected by geographical bias. The farmers of this district produce three crops of rice – Aus, Amon, and Boro, representing the basic characteristics of rice cultivation in Bangladesh. 3. The Bangladesh Academy for Rural Development (BARD), a research institute for agriculture and rural development, is located in the Comilla district. The BARD and other research institutes usually conduct surveys in this district and the participants are familiar with surveys and research. Therefore, it was expected that conducting a field survey in this district would present fewer logistical challenges. According to the Bangladesh Bureau of Statistics (BBS, 2007a), there are thirteen upazilas (sub-districts) in the Comilla district. They are: 1) Barura, 2) Brahmanpara, 3) Burichang, 4) Chandina, 5) Chauddagram, 6) Daudkandi, 7) Debidwar, 8) Homna, 9) Comilla Sadar, 10) Laksam, 11) Meghna, 12) Muradnagar, and 13) Nangalkot. The study selected Comilla Sadar Upazila, then Chouara Union from that upazila and finally Shrimontapur village from that union for conducting the field survey. Based on cluster sampling, the households of the selected village were divided into three clusters (A, B and C) and then, using the random sampling technique, cluster C was selected for the field survey. The study surveyed all 60 households from this cluster. Therefore, the sample size of this survey was 60 households of that village. The details of observations are presented. The household head or a senior person of the household who had access to information of all household members answered this structured interview questionnaire. The authors conducted this structured interview through asking participants questions and writing their answers. If a participant did not have information about all members of the household, the participant was not requested to participate in the survey. Therefore, all 60 observations for all questions were found correct/valid and no sample was dropped from the original data set. The study also conducted a Data Exploratory Analysis to identify outliers and no outlier was found in this data set. The study also used time series data from secondary sources, mainly from ‘Handbook of Agricultural Statistics, December 2007’ (Ministry of Agriculture, 2007). Other sources included BBS (2007) and Ministry of Finance (2010). Time series data included rice production, average yield and rice market during 1985-2005. questionnaire was designed with both closed-ended and open-ended questions. Therefore, the datasets included both quantitative (closed-ended) information through using a closed-ended checklist and qualitative (open-ended) information through interviews with participants. The questionnaire included questions on households’ involvement in rice production, rice market and input markets. The choice of this method was warranted to achieve the objectives of the study. The study used both probability and non-probability sampling methods for field surveys to collect primary data. Using convenience and judgment sampling, non-probability sampling methods (Bartlett-II et al., 2008: 47), it selected Comilla amongst the sixty-four districts of Bangladesh for conducting the field survey. 1. Comilla was a pioneer district in the field of the Green Revolution in Bangladesh. It was expected that it might have experienced significant technological transformation in agriculture as a result of agricultural trade liberalisation. 2. It is basically an agricultural district. It is neither a hilly nor a coastal area, representing the typical geographical feature, which is conducive to agricultural activities. Therefore, data would not be affected by geographical bias. The farmers of this district produce three crops of rice – Aus, Amon, and Boro, representing the basic characteristics of rice cultivation in Bangladesh. 3. The Bangladesh Academy for Rural Development (BARD), a research institute for agriculture and rural development, is located in the Comilla district. The BARD and other research institutes usually conduct surveys in this district and the participants are familiar with surveys and research. Therefore, it was expected that conducting a field survey in this district would present fewer logistical challenges. According to the Bangladesh Bureau of Statistics (BBS, 2007a), there are thirteen upazilas (sub-districts) in the Comilla district. They are: 1) Barura, 2) Brahmanpara, 3) Burichang, 4) Chandina, 5) Chauddagram, 6) Daudkandi, 7) Debidwar, 8) Homna, 9) Comilla Sadar, 10) Laksam, 11) Meghna, 12) Muradnagar, and 13) Nangalkot. The study selected Comilla Sadar Upazila, then Chouara Union from that upazila and finally Shrimontapur village from that union for conducting the field survey. Based on cluster sampling, the households of the selected village were divided into three clusters (A, B and C) and then, using the random sampling technique, the cluster C was selected for the field survey. The study surveyed all 60 households from this cluster. Therefore, the sample size of this survey was 60 households of that village. The details of observations are presented. The household head or a senior person of the household who had access to information of all household members answered this structured interview questionnaire. The authors conducted this structured interview through asking participants questions and writing their answers. If a participant did not have information about all members of the household, the participant was not requested to participate in the survey. Therefore, all 60 observations for all questions were found correct/valid and no sample was dropped from the original data set. The study also conducted a Data Exploratory Analysis to identify outliers and no outlier was found in this data set. The study also used time series data from secondary sources, mainly from ‘Handbook of Agricultural Statistics, December 2007’ (Ministry of Agriculture, 2007). Other sources included BBS (2007) and Ministry of Finance (2010). Time series data included rice production, average yield and rice market during 1985-2005.