Abstract

In India, when water is scarce, domestic waste and the industrial waste water is an option for the farmers to use for cultivation at low cost. It revealed that the domestic waste water has its resource value as water, as the demand for water for cultivation increases. As the demand for water had increased due to population, urbanization and industrialization, the farmers were forced to go for wastewater irrigation. In India, to avoid the costs of effluent treatment, small scale industrial units, disposed their untreated effluents in public sewers and in surface water bodies as a regular practice. In India, nearly 76 percent of the untreated waste water is used for irrigation. In this backdrop, an attempt was made to analyse the causes of water pollution and its impact on land value in selected taluk of Tiruppur district. Probit regression analysis and two stage regression analysis were applied to fulfill the objectives of the study. Among the significant factors, ‘textile industrial waste disposal in the nearby water bodies’ and ‘distance of farm land to the main road’ had negative relationship with land value.  Area irrigated and distance of farm land from the Noyyal river had positive relationship with land value. Increase in area irrigated and distance of farm land from the Noyyal river had increased the land value. In the non polluted area, distance of farm land from the main road and distance of farm land from Noyyal river had turned out to be statistically significant to influence the land value. Among the significant factors, distance of farm land from the main road had negative relationship with land value.  Distance of farm land from the Noyyal river had positive relationship with land value.  Increase in the distance of farm land from the Noyyal river had increased the land value.  The selectivity variable lamda was statistically significant for the non polluted area while it was statistically insignificant in the polluted area. It revealed the presence of selectivity bias in the non polluted area and absence of selectivity bias in the polluted area.

Keywords: Water Pollution, Soil pollution, Noyyal River Tamilnadu, India, Tiruppur district, Heckman Hedonic Modelling.