The main objectives of this report are to first calculate its GSDP for the five years starting from 2008–09 to 2012–13 as mandated by the UT Administration of Dadra and Nagar Haveli. The second objective is to use the calculated GSDP to identify the opportunities and challenges and the third objective is to recommend a path forward. Dadra and Nagar Haveli formed 0.15 per cent of Indian GDP during the period 2008–09 to 2012–13. The growth rate of GSDP, after declining in 2009–10, has shown a steady and continuous increase. Per capita GSDP growth, however, was in negative territory until 2012–13. Manufacturing forms on average (2008–09 to 2012–13) 87.6 per cent of GSDP and within that it is registered manufacturing that forms 87.1 per cent of GSDP. After registered manufacturing, the next biggest sector is community, social and personal services (2008–09 to 2012–13), which is 3.7 per cent of GSDP, followed by real estate, ownership of dwellings and business services (3.1 per cent of GSDP). The per capita income of the UT is on average 5.7 times higher than that of India for the period studied.
NCAER-State Investment Potential Index or N-SIPI is an evidence-based index that combines published secondary data on key relevant parameters with an extensive industry survey conducted by NCAER across twenty states and the Union Territory of Delhi. It is uniquely poised to provide a single composite investment score designed to give a comprehensive measure of how the states of India are positioned to encourage and attract investment. N-SIPI has been built on five big pillars and comprises 51 sub-indicators. A unique component of N-SIPI is that it merges a perception based index (constructed using surveys) with fundamentals driving investment decisions to capture state level differences.
This study is targeted at bringing the focus of high-level policy attention on the urgent need to revamp India’s FDI statistical system for an accurate view of Foreign Direct Investment inflows a / outflows and their impact.
The study will achieve the following objectives:
- Strengthening FDI data frameworks in adherence to international conventions.
- Streamlining structural and regulatory procedures to foster public private partnerships, opening market
access and strengthening business networks and models for improved efficacy and efficiency.
- Regulatory environments and institutional structures that promote innovation leading to new
opportunities for business.
- Building and amplifying the economic evidence base to demonstrate the benefits to India in supporting
open trade.
NCAER computed the Gross State Domestic Product (GSDP) Daman and Diu for the years 2008-09 to 2012-13. The UT is dominated by registered manufacturing. Its per capita income is approximately five times that of India. However, the growth of the economy had faltered during the period of the study, with slowing growth in manufacturing. Share of manufacturing in GSDP has declined from 82.8 per cent in 2008-9 to 77.7 per cent in 2012-13. On the other hand, share of Financing, Insurance, Real Estate & Business Services increased from 4.6 per cent to 10.4 per cent between the two periods. Agriculture and allied activities have very little presence in the UT with around one per cent share in GSDP. The UT has showed comparative advantage in the following industries including manufacturing of electric motors, generators, transformers and electricity distribution and control apparatus; manufacture of wiring and wiring devices; spinning, weaving and finishing of textiles; manufacture of wearing apparel, except fur apparel and; manufacture of paper and paper products. With the exception of manufacture of wearing apparel (except fur apparel), labour productivity has fallen over time for all the sectors.
New Delhi: The weatherman is getting better at his job. Or so the farmers feel.
Reliability of weather information has improved in the past two to four years according to nine out of ten farmers in six states and a Union Territory.
The only two exceptions were Gujarat and Madhya Pradesh where more farmers said the reliability of weather forecasts by the India Meteorological Department (IMD) had not improved.
In 2014 the National Council of Applied Economic Research (NCAER) surveyed 918 agricultural households in 35 districts in partnership with the Reliance Foundation. The ministry of earth sciences which commissioned the report published it in August last year. Mint has seen a copy of the report.
The results showed that overall roughly 57% of the farmers felt there was an improvement in timeliness of the forecast. However a significant segment of farmers in Madhya Pradesh and Gujarat were not satisfied with it.
Almost 60% of the farmers in both states did not think the reliability of the weather information had improved in the past four years.
“There used to be jokes about weather forecasts and how inaccurate they were. From that stage farmers saying this is the best thing that happened is a great improvement” said R. Venkatesan one of the authors of the report. “The benefits are significant even for other stakeholders such as the navy fishermen and oil rigs who can save great expenses if there is accurate weather forecast” he added.
More than two-thirds of the farmers felt that the accuracy frequency and utility of forecasts have improved.
Last month the earth sciences ministry said there had been a significant improvement in IMD’s short and medium-range forecasts. The critical success index improved by 46% and false alarm rate fell by 77% in 2013-15 over 2002-12 for heavy rainfall warnings during the monsoon season. The ministry attributed the success to improved forecast models after the commissioning of high-performance computing systems.
“Accuracy has definitely improved in the past few years. One can now get location-specific forecasts for up to 20-25 km which is much more useful for stakeholders especially farmers” said Venkatesan.
The report also analysed the benefit of weather prediction to various crops and concluded that wheat paddy sugarcane and cotton are four principal crops that have the potential to use the weather prediction information of the government forecaster to generate an annual economic profit of Rs.42000 crore.
