The economics of rubber plantation industry in kerala

The study is an objective analysis of the importance of the economics of rubber plantation industry in Kerala. The study covers a period of 25 years ranging from 1950-51 to 1974-75. The data for the study were obtained partly from published documents such as: (1) The Plantation Inquiry Commission Report (for 1950s) (2) The Tariff Commission Reports (for 1960s) (3) Indian Rubber Statistics (for 1970s) and partly from personal inquiries. The thesis is divided into three parts consisting of eight chapters. Part I deals with the importance, growth, present position, and the scope of the industry. Part II discusses in detail the various development schemes, their impact, the role of small holding sector in the development of the rubber plantation industry and the problems faced by small holdings. Part III analyses the problems connected with marketing, cost, profitability and the development potential of the industry

Influence Of Forecasting, Planning And Controlling On The Performance Of Small And Medium Enterprises

Production Planning and Control (PPC) systems have grown and changed because of the developments in planning tools and models as well as the use of computers and information systems in this area. Though so much is available in research journals, practice of PPC is lagging behind and does not use much from published research. The practices of PPC in SMEs lag behind because of many reasons, which need to be explored This research work deals with the effect of identified variables such as forecasting, planning and control methods adopted, demographics of the key person, standardization practices followed, effect of training, learning and IT usage on firm performance. A model and framework has been developed based on literature. Empirical testing of the model has been done after collecting data using a questionnaire schedule administered among the selected respondents from Small and Medium Enterprises (SMEs) in India. Final data included 382 responses. Hypotheses linking SME performance with the use of forecasting, planning and controlling were formed and tested. Exploratory factor analysis was used for data reduction and for identifying the factor structure. High and low performing firms were classified using a Logistic Regression model. A confirmatory factor analysis was used to study the structural relationship between firm performance and dependent variables.