The objective of this paper was to measure factor influencing on the level of perceived helpfulness of country of origin in predicting the quality and safety of meat(beef, pork, and chicken). The data was collected through a consumer survey during the March 2006. A total number of 250 consumers livi...
The objective of this paper was to measure factor influencing on the level of perceived helpfulness of country of origin in predicting the quality and safety of meat(beef, pork, and chicken). The data was collected through a consumer survey during the March 2006. A total number of 250 consumers living in Suncheon, were randomly selected as respondents. Eleven respondents did not complete the survey instrument, resulting in a final sample size of 239. All estimations were carried out using proc logistic procedure of SAS package. The results of beef are as follows. Age, occupation, and education of demographic variables were significantly different by the level of perceived helpfulness of country of origin in predicting the quality and safety of beef. The level of perceived helpfulness of country of origin in predicting the quality and safety of beef was significantly correlated with respondent informed, trust, and BSE of attitude variables. The proportional odds assumptions of models were not violated at p<0.05. The effects of gender, age, education, and respondent informed on the level of perceived helpfulness of country of origin in predicting the quality of beef were statistically significant. The effects of age, education, and trust on the level of perceived helpfulness of country of origin in predicting the safety of beef were statistically significant. The results of pork are as follows. The proportional odds assumptions of models were not violated at p<0.05. The effects of age, income, children, occupation and respondent informed on the importance of country of origin in pork quality model were statistically significant. The effects of age, children, occupation and trust on the importance of country of origin in pork safety model were statistically significant. The results of chicken are as follows. The level of perceived helpfulness of country of origin in predicting the quality of chicken was significantly different by age and occupation of demographic variables, and was significantly correlated with respondent informed of attitude variables. The proportional odds assumption of model was not violated at p<0.05. The effects of income, occupation and respondent informed on the level of perceived helpfulness of country of origin in predicting the quality of chicken. The level of perceived helpfulness of country of origin in predicting the safety of chicken was significantly correlated with trust, antibiotics and salmonella/bacteria of attitude variables. The proportional odds assumption of model was violated at p<0.05. The estimated results of multinomial logit model indicated that income, single, occupation, and education significantly affected helpful perception over not helpful perception, and gender and occupation significantly affected very helpful perception over not helpful perception in the case of extended model. The results from this study could be useful in developing marketing and health promotion strategies, as well as government trade policy.
The objective of this paper was to measure factor influencing on the level of perceived helpfulness of country of origin in predicting the quality and safety of meat(beef, pork, and chicken). The data was collected through a consumer survey during the March 2006. A total number of 250 consumers living in Suncheon, were randomly selected as respondents. Eleven respondents did not complete the survey instrument, resulting in a final sample size of 239. All estimations were carried out using proc logistic procedure of SAS package. The results of beef are as follows. Age, occupation, and education of demographic variables were significantly different by the level of perceived helpfulness of country of origin in predicting the quality and safety of beef. The level of perceived helpfulness of country of origin in predicting the quality and safety of beef was significantly correlated with respondent informed, trust, and BSE of attitude variables. The proportional odds assumptions of models were not violated at p<0.05. The effects of gender, age, education, and respondent informed on the level of perceived helpfulness of country of origin in predicting the quality of beef were statistically significant. The effects of age, education, and trust on the level of perceived helpfulness of country of origin in predicting the safety of beef were statistically significant. The results of pork are as follows. The proportional odds assumptions of models were not violated at p<0.05. The effects of age, income, children, occupation and respondent informed on the importance of country of origin in pork quality model were statistically significant. The effects of age, children, occupation and trust on the importance of country of origin in pork safety model were statistically significant. The results of chicken are as follows. The level of perceived helpfulness of country of origin in predicting the quality of chicken was significantly different by age and occupation of demographic variables, and was significantly correlated with respondent informed of attitude variables. The proportional odds assumption of model was not violated at p<0.05. The effects of income, occupation and respondent informed on the level of perceived helpfulness of country of origin in predicting the quality of chicken. The level of perceived helpfulness of country of origin in predicting the safety of chicken was significantly correlated with trust, antibiotics and salmonella/bacteria of attitude variables. The proportional odds assumption of model was violated at p<0.05. The estimated results of multinomial logit model indicated that income, single, occupation, and education significantly affected helpful perception over not helpful perception, and gender and occupation significantly affected very helpful perception over not helpful perception in the case of extended model. The results from this study could be useful in developing marketing and health promotion strategies, as well as government trade policy.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.