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District Domestic Product compilation and its uses

District Domestic Product compilation and its uses. What is DDP?. District Domestic Product (DDP) represents the sum of economic value of all goods and services produced within the geographical boundary of the district. Why DDP compilation is essential?.

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District Domestic Product compilation and its uses

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  1. District Domestic Product compilation and its uses

  2. What is DDP? • District Domestic Product (DDP) represents the sum of economic value of all goods and services produced within the geographical boundary of the district.

  3. Why DDP compilation is essential? • All Developing or developed country uses the DDP to know the current development status. • To know the economic status of the area, taluk, district, state or even economic status of the country • The district income estimates assumes much importance as an indicator of development in decentralised planning.

  4. Advantages of compiling DDP • Shows the sector wise development of taluka’s or a district. • Differentiate the economic development between taluka’s or a district. • Helps to Prepare an Human Development Report. • Helps to prepare the development plans at taluk level.

  5. Method of compiling Gross Domestic Product estimates The methodology for compiling the estimates of GDP consists in dividing the whole economy into three sectors. • Primary Sector: 1. Agriculture (including Livestock). 2. Forestry and Logging. 3. Fishing. 4. Mining and Quarrying.

  6. Method of compiling Gross Domestic Product estimates • Secondary Sector: 5. Manufacturing a) Registered b)Un-registered. 6. Construction 7. Electricity, Gas and Water Supply

  7. Method of compiling Gross Domestic Product estimates • Tertiary Sector: 8. Transport, Storage and Communication a) Railways b) Transport by other means c) Storage d) Communication 9. Trade, Hotels and Restaurants 10. Banking and Insurance 11. Real Estate, Ownership of Dwellings and Business Services including legal services 12. Public Administrations 13. Other Services.

  8. Method of compiling Gross Domestic Product estimates GDDP Compilation worked out in any one or more of the following three methods. • Production approach: This approach is applied on sectors such as Agriculture (including Livestock), Forestry and Logging, Fishing, Mining and Quarrying, Manufacturing (Registered).

  9. Method of compiling Gross Domestic Product estimates ii) Income approach: This approach is applied on sectors such as… Manufacturing(unregistered), Electricity, Gas and Water Supply, Transport, Storage and Communication, Trade, Hotels and Restaurants, Banking and Insurance, Real Estate, Ownership of Dwellings and Business Services, including legal services, Public Administration, Other Services.

  10. Method of compiling Gross Domestic Product estimates iii) Expenditure approach: This Approach used in construction sector. At present all the three methods are followed to compute District Domestic Product.

  11. Source of data for compiling district domestic product Agriculture Area, Yield, Production and Prices are used to find the output value of the crops in agriculture sector. • District Statistic Office: Supplies the data such as Area, Yield and Production for several crops. • APMC: Supplies price to compile the output value for all crops. • Horticulture Department: Supplies Area, Yield and Production for Vegetable and Fruits crops. • DC Office: Supplies Irrigation charges.

  12. Source of data for compiling district domestic product Data Limitation in Agriculture • Area: In spite of best efforts, Area records have not been updating in all three season • Area reconciliation at the village level not done properly by the concerned department. • Crops which are grown in forest area, government land or canal are not reflected properly in the records.

  13. Source of data for compiling district domestic product Data Limitation in Agriculture Mixed Farming: Mixed farming is mainly found in the horticulture sector and some major crops in agriculture, where combination of the crop will be grown. • Estimation will be limited for the major crops in which minor crop area not properly reflected. • Example: The plantation crops such as coconut, arecanut, banana etc found near each home stud land, stray fruit trees found, normally in estate, forest area and bund area are not at all reflected which contribute sizable share.

  14. Source of data for compiling district domestic product Data Limitation in Agriculture Yield: Yield estimation has been under estimated due to insurance claim. Yield estimation is not been conducted statistically for horticulture crops by horticulture department. Price: The District DDP suffered with local market prices. The District level DDP compilation is processed based on district market prices, if district price not found then state price has been allocated on several crops.

  15. Source of data for compiling district domestic product Livestock District Animal Husbandry: Price and Production of the livestock are supplied by District Animal Husbandry, It contain the data on Milk, Egg, Meat, Wool and other livestock products using livestock census results.

  16. Source of data for compiling district domestic product Data Limitation in Livestock • For the interceptional years, estimation has been attempted by extrapolating the data on the basis of observed growth rates between the last two censuses. • Accurate production data on byproducts is not available, By comparing state figures variation is found in the taluk-wise production as well as taluk-wise price of the live stock products.

  17. Source of data for compiling district domestic product Forestry and Logging District Forest Department: Supplies Taluk-wise Price and Production for forest products. Fishing District Fisheries Department: Supplies Taluk-wise Price and Production for fish products. Mining and Quarrying Mines and Geology Department: Supplies Taluk-wise Price and Production based on the royalty.

  18. Source of data for compiling district domestic product Construction PRI’s and ULB’s: Supplies Taluk-wise workforce engaged in public sector and taluk-wise expenditure. Data Limitation in Construction • limitation of data on private construction. • observation on development in district shows the major participation of the private sector, but due to unavailability of data on private construction actually under estimated the District Domestic Product.

  19. Source of data for compiling district domestic product Manufacturing ( registered and unregistered) Industries and commerce department: Supplies Talukwise workforce engaged in industrial sectors. Electricity, Gas and Water Supply CLB’s Web Application: CLB’s web application and district at a glance (DAG) have been used . Transport District Statistic Office: District at a Glance data have been used.

  20. Source of data for compiling district domestic product Communication BSNL Office: Supplies Taluk-wise workforce engaged in BSNL sector. Data Limitation in Communication • Compilation process has not been affected on private sector where the major communication activities has been found. • Such as broadband communication, Postal communication, Media communication, 2nd Generation or even 3rd Generation communication have made revolutions in communication sector.

  21. Source of data for compiling district domestic product Banking and Insurance District Employment Office: Supplied Taluk-wise workforce engaged in Banking sector.. LIC ofIndia: Supplies Taluk-wise workforce engaged in Insurance sector. Data Limitation in Banking and Insurance Data not available in the private sector who are engaged in both Banking and Insurance. Legal services District Bar Association: Supplies Taluk-wise workforce engaged in Legal services.

  22. Source of data for compiling district domestic product Health District Health Office: : Supplies Taluk-wise workforce engaged in Health services. Data Limitation in Health Services • Data does not available for the private heath services find in the district Sanitation CLB’s Web Application : Workforce engaged in sanitation in public sector has been accessed by the web application

  23. Data base problem and what has to be done to overcome this Problem? Primary Sector • Area Reconciliation at village level need to do properly. • Enumerators have to be appointed at least in the hobli level. • The area estimation on all season should be done properly for all crops including mixed crops. • Village accountant should be supplied with updated revenue village map.

  24. Data base problem and what has to be done to overcome this Problem? Primary Sector • Horticulture census needs be held along with agriculture census in every five years. • Especially for most of the horticultural crops yield estimates are not available at district level, some methodology must adopt to get yield estimate at district level. • Need to build an accurate system to get local market prices for all crops and products in the district.

  25. Data base problem and what has to be done to overcome this Problem? Secondary Sector& Tertiary Sector • Special effort has to carry out to get an accurate and reliable data. • Private database need to be build in construction, communication, transport and other sector by initiating a special program at regional level.

  26. Thank you

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