India’s Civil Aviation Sector: Exploring Recent Performance Trend, Working Paper No. 3, March 2024, ACRA
This study explores how Indian aviation sector has recovered from Covid 19 pandemic period and growing steadily in the recent years. The paper has also compared aviation sector growth in a few developed and developing nation so that India’s performance can be benchmarked against the world scenario. Please click the link below to read the full paper.
Indian Civil Aviation Sector_v7_010324____________________________________________________
CHANGING LAND USE LAND COVER IN URBAN SPACE IN INDIA: Case study of Noida, Pune and Bengaluru , Working Paper No. 2, ACRA
Using remote sensing and satellite imageries data this paper looks into how land use and land cover has changed over time in Noida, Pune and Bengaluru. It is interesting to observe that while in some cities instead of urbanisation, green space has not been deteriorating over time, in others it is the green space is reduced extensively over time. This paper is useful from urban planners and municipalities to understand how to restrict the deterioration of environment in cities. Please click the link below to
WP No. 2 2023 Changing Land Use and Land Cover in Urban Spaces - A Case Study of Noida, Bengaluru and Pune____________________________________________________
Estimating Economic Impact of Homestays Using Input-Output Model Framework, Working Paper No. 1.
This paper discusses how Homestays are contributing to the economy in terms of value added as well as employment. The Input-Output model is used for the study which captures inter-industry linkages from a macro-economic perspective. The paper is useful for tourism researchers and economic researchers who wants to understand how tourism activities impact the overall economy.
Estimating Economic Impact of Homestays Using IO modelling_wp1_No.1 25 Jan 2023____________________________________________________
Indexation: A Methodological Perspective, Discussion paper No. 1, ACRA
This paper discusses the methodological aspects of composite index computation. It is important to know the statistical nuances before indexation, especially for composite index. The paper is extremely useful for researchers in academic and business fields working with hard data for analysis.
Indexation A methodological Perspective_Dripto 241122____________________________________________________
Motorised Cycle Market in India
This is a state-wise analysis of motorised cycle market in India. Please click the link below to read the report.
Motorised Cycle Market_Feb 2023___________________________________________________
Rethinking Tourism Carrying Capacity – A Precursor, Discussion Paper No. 3
This paper discusses an important area for tourism policy and planning. Carrying capacity is a critical concept, however used very little by the policy makers. This paper provides a direction how this concept can be used from a sustainable tourism perspective. Please click the link below to read the p
Rethinking Tourism Carrying Capacity – A Precursor__________________________________________________
Skewed Passenger Car Market in Uttar Pradesh: An Exploration, Discussion Paper No. 2, ACRA
This is a study highlighting skewed passenger car market in Uttar Pradesh. A district-wise analysis is done to show how the demand for passenger car has changed and also skewed towards a few particular district.
Skewed Passenger Car Sales Market in Uttar Pradesh_Discussion Paper No. 2, 2023_
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Forecasting crops using remote sensing data – An important tool for policy making
By Dripto Mukhopadhyay
When we launched ACRA as a research and analytics firm, one of our major objectives was to help business with data as real time as possible. Apart from whatever available from secondary sources, with quote unquote “error margin”, we worked extensively on remote sensing data and used the same for various estimations especially on spatial consumer demography. We thought of working on agriculture front also using remote sensing data. However, we stopped agriculture related estimations etc. at its nascent stage itself due to multiple reasons, one of which was rare clients in private sector who will show interest in the product. However, it was quite interesting to me to work on a methodology whereby we estimate crop productions etc. using remote sensing data, available secondary and advanced analytics.
Yesterday I reviewed a proposal in the same line for an institute where I am involved as an advisor to research activities. Again the earlier passion got ignited. Though there are different opinions about accuracy of such estimations, I always feel that it can indeed be a significant contribution to research as well as policy making. I just wanted to highlight a few points that seems critical to me from the contribution point of view of estimating crop production with remote sensing data.
- It is far superior in terms of timeliness since any secondary data on the same comes with a time lag
- Importantly, with the satellite imageries one can monitor the progress very closely considering natural calamities and also made challenges on various fronts of agriculture production
- One can forecast crop production for different crops even at land parcel level. It signifies that one can have an estimate for individual farmers also when combined with cadastal or revenue maps
- This helps the government to remove frauds done by certain section of farmers while they purchase crops grown in other states and sell at a higher MSP
- It can help managing crop sale at the mandis by farmers since the production records are available to mandi authorities. It helps mandi authorities to allot slots for sale of crops allowing to sell the quantity produced. This is especially true when the allotment is done online, for example as done through Meri Fasal Mera Beyora (MFMB) scheme in Haryana.
- It also helps the state government to allocate a budget beforehand to be spent on MSP of the crops grown in the state since an advance estimate of production is possible.
- It also helps in determining the genuine loss by the farmer from insurance point of view also.
There is always a common concern raised, especially on accuracy front of such estimates. However, from methodology perspective if the analytics tools can be used with a cautious care, the glitches will not exceed that we generally see in the secondary data itself. I hope the government will gradually understand the criticality of such estimates in near future and the available remote sensing data can be used for a common good.