The management of working capital assumes greater significance in respect of small scale industrial (SSI) units as most of these have a weak financial base and limited access1biht~ to financial markets to support their scarce resources and low nsk bearing capacity. In fact, it is the quality of the management of working capital that decides the success or otherwise of the unit. The working capital management practices in small scale industnes are usually dependent more on the personaltty of the owner than on the pressures of the money market. The present paper makes an attempt to ascertain working capital management practices in different small scale industry groups. Methodology Description of the sampleThe universe for the study consists of 148 SSI units registered in the five industrial estates of Cuddapah district of Andhra Pradesh. Of these. only 56 units are working. Because of either non-cooperation of the managements of some of the SSI umts or transfer of their management or irregularity of data compilation by the managments of some of the SSis, the relevant data required for the present study could not be collected for 26 SSI units. The remaining 30 SSI uruts constituted the sample of the study. The sample units represent diverse industrial groups such as plastic, mineral, engineering, aluminium, chemical and miscellaneous (see table l) Data collectionthe data for the study have been collected through personal interview method.

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The present study has employed a regional Land Surface Model (LSM) to investigate the impact of historical land cover changes on land surface characteristics over the Indian subcontinent for the period of 1930-2013. Four simulations that include a control run and three experiment runs are performed with the Noah 3.6 LSM within the Land Information System (LIS). The control run is performed with a MODIS-IGBP land cover map, while the three experimental runs are performed with three different potential land cover maps for the years 1930, 1975, and 2013. The potential land cover maps for the above three simulations are developed by blending the MODIS-IGBP data set with the fractional forest cover data set; the latter data is available for the years 1930, 1975, and 2013. Results indicate that the historical land cover change (1930 to 2013) has reduced the annual mean of latent heat flux and net surface radiation over the Indian domain by -24.74 W/m 2 and -14.18 W/m 2 respectively, while the sensible heat flux and the soil temperature has increased by 4.97 W/m 2 and 2.78 K. The annual mean change in latent heat flux, sensible heat flux, and soil temperature demonstrate that the largest changes occur when the land cover changes from forest to urban land as compared to forest to cropland, forest to grassland and forest to open shrubland. The annual mean change in latent heat flux is moderately large for the land cover change from forest to open shrubland when compared to forest to grassland and forest to cropland. The above is attributed to the effects of evapotranspiration, which has high values for the cropland followed by grassland and open shrubland. Furthermore, the triple collocation method is employed to assess the impact of historical land cover change on soil moisture. Results indicate that the triple collocation method effectively demonstrates the impact of land cover change on soil moisture.

The present study has employed a regional Land Surface Model (LSM) to investigate the impact of historical land cover changes on land surface characteristics over the Indian subcontinent for the period of 1930-2013. Four simulations that include a control run and three experiment runs are performed with the Noah 3.6 LSM within the Land Information System (LIS). The control run is performed with a MODIS-IGBP land cover map, while the three experimental runs are performed with three different potential land cover maps for the years 1930, 1975, and 2013. The potential land cover maps for the above three simulations are developed by blending the MODIS-IGBP data set with the fractional forest cover data set; the latter data is available for the years 1930, 1975, and 2013. Results indicate that the historical land cover change (1930 to 2013) has reduced the annual mean of latent heat flux and net surface radiation over the Indian domain by -24.74 W/m 2 and -14.18 W/m 2 respectively, while the sensible heat flux and the soil temperature has increased by 4.97 W/m 2 and 2.78 K. The annual mean change in latent heat flux, sensible heat flux, and soil temperature demonstrate that the largest changes occur when the land cover changes from forest to urban land as compared to forest to cropland, forest to grassland and forest to open shrubland. The annual mean change in latent heat flux is moderately large for the land cover change from forest to open shrubland when compared to forest to grassland and forest to cropland. The above is attributed to the effects of evapotranspiration, which has high values for the cropland followed by grassland and open shrubland. Furthermore, the triple collocation method is employed to assess the impact of historical land cover change on soil moisture. Results indicate that the triple collocation method effectively demonstrates the impact of land cover change on soil moisture.