Factor Affecting Purchase of Quality Wood: Understanding Perceptions of Wood Workers Using Logistic Regression Model

Abstract

Woodworkers purchase wood from farmlands as well as from the timber markets, transport them and later convert them into usable products keeping in mind their profitability and customer relationship. Wood with problems not only devoid woodworkers with profit, in turn, affect customers with low quality products. This research is, therefore, formulated to understand factor affecting wood workers ‘choice of quality wood in Multan timber market, Pakistan. A total of 60 respondents were interviewed by administering questionnaire using snow-ball sampling technique. The wealth of information obtained thus analyzed using logistic regression technique to draw meaningful inferences. The results revealed that wood problem related to Insect’s pests and diseases (B= .234, Wald 3.687, sig .05), wood defects (B=-.294, Wald 3.833, Sig -.050) and perception of safe transportation (B= 3.833, Wald= 5.479, sig =.019) positively affect wood workers’ choice of quality wood purchase. The research concluded that woods available in timber markets should be free from insect pests and defects damage to save woodworkers and customers premiums. This might entail trainings organized by government for consumers and wood workers to identify wood problems and purchase quality woods.