| S. no |
Topics for which research proposals are invited |
Concerned Division of MoSPI and details of Nodal Officers |
Status (as on 12.03.25) |
Document (download) |
| Purpose: Improvement in IIP |
| 1 |
Assessing the Feasibility of use of Goods and Services Tax (GST)
Data in Index of Industrial Production (IIP) compilation,
factory selection, item basket selection for IIP and to enhance
the data coverage of Annual Survey of Industries (ASI), which in
turn will help augment the data frame for IIP.
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Economic Statistics Division
Name:
Ms. Ankita Singh
Email ID:
ankits.3782@gov.in
Contact No: 9958382036
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Available for invitation of proposal
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Purpose: Expanding the coverage of the existing Environment
Accounts being compiled by MoSPI
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| 2 |
To estimate the soil erosion prevention service provided by the
Forest Ecosystem for two States of India. NSO, MoSPI in
collaboration with Soil and Land Use Survey of India (SLUSI)
under Integrated Nutrient Management (INM) Division of Ministry
of Agriculture and Farmers' Welfare has estimated the soil
erosion prevention services by forests on a pilot basis for 2
districts of India using the RUSLE model.
TOR: A study can be conducted to estimate the
soil erosion prevention service of the Forest Ecosystem at a
panIndia level (at a physical level). The study would explore
the following scenarios which will be carried out for all States
of India.
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Soil Erosion Prevention Service in different classes of
forests
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Soil Erosion Prevention by Forests in comparison to croplands
The specific TORs are as follows:
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To develop a comprehensive understanding of the soil erosion
prevention services provided by the forests including the
literature review and its relevance in the economy
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To estimate the two scenarios- soil erosion prevention
services in different classes of forests and soil erosion
prevention services provided by forests in comparison to the
croplands in physical and monetary terms for a state on a
pilot basis in consultations with the stakeholders clearly
identifying the data availability.
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To assess the impact of changing forest patterns on the
services provided by the forest ecosystem.
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To identify the data gaps and provide recommendations for
improving data collection and management.
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To compile a report describing the detailed methodology, data
sets, highlights, limitations and way forwards.
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Social Statistics Division
Name:
Ms. Sandhya Singh
Email ID:
ddg1.ssdiv@mospi.go v.in
Contact No:7838115499
(for proposal-3, 4, 5 &6)
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| 3 |
Compilation of Ocean Ecosystem Accounts for a specified region.
Recognizing the significant contribution of ocean and coastal
resources to NSO, MoSPI initiated the process of development of
Ocean Accounts Frameworks in alignment to the SEEA. An Expert
Group has also been constituted for the same. For compilation of
the accounts on the Ocean, it is important to have relevant data
in appropriate formats.
TOR: The main objective of the study is to try
piloting ocean accounts for a particular region such as Gulf of
Mannar, Gulf of Kutch etc. The study would essentially include
the condition parameters for the
ocean surface temperature. Having knowledge
about the surface temperature of different ocean ecosystem viz.
mangroves, coral reefs, lagoons etc. the health about the ocean
sub-ecosystem can be known. The specific TORs for the study are:
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To develop a comprehensive understanding of the ocean
ecosystems and its subecosystems.
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To estimate the ocean surface temperature of the study area
including the surface temperatures of the ocean subecosystems
in consultations with the stakeholders clearly identifying the
data availability
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To establish a methodology for showcasing the impact of
changing ocean dynamics on ocean surface temperature
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To assess the impact of changing ocean surface temperature on
various Ecosystems
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To identify data gaps and provide recommendations for
improving data collection and management.
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To compile a report describing the detailed methodology, data
sets, highlights, limitations and way forwards.
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Available for invitation of proposal
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| 4 |
Carbon Storage in Oceans- To estimate the carbon stored in
different subecosystem of the oceans.
One of the condition parameters for the oceans is
storage in the ocean,
which involves determining how much carbon is sequestered or
stored within various components of marine ecosystems. Oceans
play a crucial role in the global carbon cycle by absorbing
significant amounts of carbon dioxide (CO₂) from the atmosphere.
This is accomplished through biological, chemical, and physical
processes.
TOR: A study can be conducted to estimate the
carbon stored in different sub-ecosystem of the oceans. The
specific TORs are as follows:
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To develop a comprehensive understanding of how carbon is
stored in the oceans including the literature review and its
relevance in the environment and climate change
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To estimate the carbon retention in the ocean in both physical
and monetary terms
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To assess the impact of changing carbon storage on the health
and services provided by the ocean ecosystem.
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To identify the data gaps and provide recommendations for
improving data collection and management
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To compile a report describing the detailed methodology, data
sets, highlights, limitations and way forwards
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Available for invitation of proposal
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| 5 |
Urban ecosystem accounts- Exploring the compilation of some of
the indicators of urban accounts using satellite data/geo
spatial data.
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Urban ecosystems are cities and the surrounding,
socio-ecological systems where most people live. Urbanisation
has significant pressure on natural ecosystems which has
triggered the need for innovative actions, research and
policies to face existing and emergent societal challenges
such as climate change, biodiversity loss and environmental
pollution.
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Urban ecosystem accounting has been identified as one of the
priority areas in the "Strategy for Environmental Economic
Accounts in India 2022-2026”. Urban ecosystem accounts are
frameworks used to quantify and track the flow of resources
and the state of urban ecosystems, In line with strategy
document SSD is initiating the work of development of urban
ecosystem accounts.
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For compilation of accounts related to urban, Satellite
data/geo spatial data plays a crucial role in urban ecosystem
accounts by providing a comprehensive, accurate, and scalable
way to monitor and assess various environmental and
socio-economic aspects of urban area.
TOR: A study may be conducted for exploring the
compilation of some of the indicators of urban accounts using
satellite data/geo spatial data. This may include checking of
data availability, suggesting other indicators as per the
spatial data availability, alternate data source related to
following indicative components:
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Disaggregation the entire urban area and categorizes larger
patches with common characteristics. For example, a
classification of urban sub- types could break down the
variety of built-up and semi-natural types within the city
into contiguous areas with common shared characteristics
(e.g., compact high-rise, compact low-rise, open low-rise,
sparsely built, paved, semi-natural area, natural area).
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Identification & Data collection on individual asset types of
urban area at as fine a scale as possible (e.g., lines of
street trees, playgrounds, allotment gardens, green roofs,
drainage and storage systems, etc.) based on available very
high resolution (10 m or less) satellite imagery or other
spatial data sets
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Following the disaggregation of urban area, Identification and
collection of information on condition characteristics of
urban area (e.g., percentage of impervious/pervious surfaces,
air quality, water quality, soil contaminant concentrations)
as measures of landscape-level characteristics of these
subclasses.
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Quantifying ecosystem service in terms of volume and money
value: Identification of urban ecosystem services and checking
of availability of data for these ecosystem services, such as
air purification, water regulation, carbon sequestration
temperature moderation, and recreation, provided by urban
ecosystems.
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Available for invitation of proposal
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| 6 |
Strengthening of National Indicator Framework (NIF) for SDGs by
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Identification of the SDG national indicators for the
unaddressed targets
- Adaptation of SDG global indicators in Indian Context
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Social Statistics Division
Name:
Dr. Ashutosh Ojha
Email ID:
ddg3.ssdiv@mospi.go v.in
Contact No:011-23455512
(for proposal-7)
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Available for invitation of proposal
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| 7 |
Use of Mobile data for Tourism statistics
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Social Statistics Division
Name:
Sh. Siljo V. K.
Email ID:
ddg2.ssdiv@mospi.go v.in
Contact No:011-23455513
(for proposal- 8,9 &10)
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Available for invitation of proposal
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| 8 |
Use of Remote Sensing for estimation of cattle population
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Available for invitation of proposal
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| 9 |
Use of night light data for estimating economic development/
infrastructure development/ impact on job creation.
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Available for invitation of proposal
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Purpose: Improvement in National Accounts
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| 10 |
The measurement of depletion of natural sources and hence
adjustment of Gross Domestic Product (GDP) to arrive at Net
domestic Product (NDP). As per the recommendation of United
Nations Statistical Commission (UNSC), emphasis will be given on
usage of NDP to measure the economic growth alongside the GDP.
The gross domestic product will be adjusted for both consumption
of fixed capital and depletion of natural sources.
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National Accounts Division
Name:
Mr. Rajeev Kumar
Email ID:
rajeevkumar.rgi@nic.in
Contact No:8826840400
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Available for invitation of proposal
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| 11 |
Preparation of distribution accounts in terms of distribution of
households over income and wealth using the existing survey
results of NSSO and National Accounts Statistics.
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Available for invitation of proposal
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| 12 |
Exploring feasibility of use of data base created by researchers
for evidencebased decision making in government.
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Available for invitation of proposal
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| 13 |
Time series analysis of the Data on National Income estimates
since 1950- 51.
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Available for invitation of proposal
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Purpose: Improvements in compilation of Price Index
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| 14 |
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Analysis of Housing Index
Methodology across countries: To
deep dive the housing index
compilation procedure adopted by
the BRICS nations, United States of
America, United Kingdom etc. their
current methodologies for
compilation of the Housing Index may
be studied and alternative approaches
may be explored.
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Impact of COVID-19 on Housing
Inflation: The
long-term effects of the pandemic on housing inflation may be
studied, particularly examining whether the index sufficiently
captures post-pandemic market fluctuations.
- Alternate Methods for Compiling the
Housing Index: Since base revision
exercise of CPI is in process, it would
be the apt time to explore new
approaches for compilation of
housing index to address the concerns
of the users and to ensure the
robustness and effectiveness of the
Index.
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Price Statistics Division
Name:
Ms. Deepti Srivastava
Email ID:
ddg2-psd.nso@mospi.gov.in
Contact No:
011-2345506
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Available for invitation of proposal
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| 15 |
Cross-referencing the CPI estimates with Wholesales market Price
It may also be explored that to what extent do wholesale market
price changes explain variations in the CPI when controlling for
external factors such as supply chain disruptions, taxes, and
commodity price volatility.
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Price Statistics Division
Name:
Ms. Deepti Srivastava
Email ID:
ddg2-psd.nso@mospi.gov.in
Contact No:
011-2345506
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Available for invitation of proposal
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| 16 |
Land Inflation - A methodology for compilation of land index,
collection of data, design of survey and its possibility in
Indian context may be developed. The CPI is meant to reflect the
cost of maintaining a certain standard of living for consumers.
Since land price increases significantly affect housing
affordability and, by extension, the overall cost of living,
including land inflation in the CPI could provide a more
accurate measure of how rising costs impact households.
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Available for invitation of proposal
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Purpose: Price collection from e-commerce platforms for
International Comparison Programme
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| 17 |
Use of Scanner data for CPI and HCES
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Price Statistics Division
Name:
Ms. Deepti Srivastava
Email ID:
ddg2- psd.nso@mospi.gov.in
Contact No: 011-2345506
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Available for invitation of proposal
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| Purpose: Surveys |
| 18 |
Exploring alternative criteria for stratification used in
sampling designs of the surveys of NSSO
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Household Survey Division (HSD)
Name:
Dr. Amitava Saha
Email ID:
a.saha.dgcis@nic.in
Contact No: 9831077504
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Available for invitation of proposal
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| 19 |
Study on the divergence in population estimates arising from the
Census and NSS Survey
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Available for invitation of proposal
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| 20 |
Simplification of extraction of unit level data of different
surveys of MoSPI.
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Enterprise Survey Division(EnSD)
Name:
Sunil Kumar Bhanawat
Email ID:
sk.bhanawat@nic.in
Contact No: 9408481311
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Available for invitation of proposal
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Purpose: Alternative Data Sources
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| 21 |
Identification of Avenues for Harnessing Administrative Data.
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Administrative Statistics and Policy Division
Name: Dr. Pankaj K. P. Shreyaskar
Email ID:
sk.bhanawat@nic.in
Contact No: 9810530944
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Available for invitation of proposal
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| 22 |
Triangulation of Various New Data Sources viz. GST, E-commerce
Sales Data, etc., with Conventional Data Sources.
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Available for invitation of proposal
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| 23 |
To access the value of official statistics in terms of the
financial savings they generate.
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Available for invitation of proposal
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| 24 |
Bifurcation of B2C transactions in
- Transaction with Consumer households; and
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Transactions with non-registered suppliers from GST data
and further devising a method to further bifurcate this
transaction item-wise (as required for PFCE compilation)
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National Accounts Division
Name:
Mr. Rajeev Kumar
Email ID:
rajeevkumar.rgi@nic.in
Contact No: 8826840400
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Available for invitation of proposal
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