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Enterprise Survey Data for Just Transition in Ramgarh and Bokaro District

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NIAID Data Ecosystem2026-05-02 收录
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https://doi.org/10.7910/DVN/5QRJIF
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Description: The dataset contains the raw data of the registered enterprise survey, conducted in coal-dependent districts of Jharkhand, namely Ramgarh and Bokaro. The objective of survey is to have a comprehensive understanding of coal dependency and economic diversification prospects. Apart from focused questions about coal dependency, the survey included probes around industries’ preferences about new sectors that can be established, and their readiness to diversify. We also assessed the challenges they face in the event of diversification. These survey questions were divided into five sections: General, Institution, Finance, Infrastructure, and Labour and Human Resources. These were chosen based on a previously developed economic diversification framework. Registered enterprise For the registered enterprises, we use stratified random sampling using three strata: Size of the district economy: Given that the Gross District Domestic Product (GDDP) of both districts is under $20 billion, a sample size ranging from 120 to 185 registered enterprises was deemed appropriate. This sample size slightly exceeds the World Bank's enterprise survey methodology, which recommends sample sizes based on GDDP. The larger sample size was chosen to ensure robust data collection across a diverse set of industries, enhance the statistical reliability of the findings, and account for potential non-response or data quality issues. Sector classification (primary, secondary and tertiary): Each sector is sub-classified into coal and non-coal, consisting of enterprises with direct and indirect dependency on coal, and use of coal-based boilers. Firm size: Each unit is classified into small, medium and large based on the number of people employed. The classification is created based on the list of industries, nature of employment and expert consultation. Small enterprises employ below 20 workers, medium enterprises 20-100 workers, and large above 100 workers. The classification is based on the type of industry and the number of employees in the different enterprises in the districts. Unregistered enterprise: Unregistered enterprises refer to those businesses that are involved in manufacturing activities or provide/render services but have not registered themselves permanently with the relevant authorities, or have failed to file an EM-II (Entrepreneurs Memorandum) with the District Industries Centre (DIC) on or before the stipulated date of March 31, 2007 We included unregistered enterprises because they play a crucial role in the informal coal economy, In each district, we surveyed 55 unregistered enterprises using single-stage cluster sampling. We specifically targeted unregistered businesses in the primary market areas of the two districts with the highest concentration of such enterprises. This approach was chosen to ensure a representative sample from areas where the prevalence of unregistered businesses was most prominent.
创建时间:
2025-08-05
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