Covid-19 Pandemic and Economic Development 2021
DOI: 10.1007/978-981-16-4442-9_20
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Governance Structure and Punjab Economy Under and Post-COVID 19 Lockdown

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Cited by 2 publications
(3 citation statements)
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“…It is important to note here that in agriculture, FWPR was 38. 6% (0.64 million in 1983-1984), which jumped to 92.7% (1.3 million in 1993-1994) during the 1983-19841993-199420171983-19841993-199420171983-19841993-19942017CAGR (1983 Agriculture pre-reform period. It might be due to two reasons: first, both the industrial and service sectors witnessed a fall in employment for females (from 22.6% to 1.5% and from 32.8% to 5.7%, respectively) in the corresponding period.…”
Section: Gender Dynamics Of Employment Among Different Sectorsmentioning
confidence: 99%
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“…It is important to note here that in agriculture, FWPR was 38. 6% (0.64 million in 1983-1984), which jumped to 92.7% (1.3 million in 1993-1994) during the 1983-19841993-199420171983-19841993-199420171983-19841993-19942017CAGR (1983 Agriculture pre-reform period. It might be due to two reasons: first, both the industrial and service sectors witnessed a fall in employment for females (from 22.6% to 1.5% and from 32.8% to 5.7%, respectively) in the corresponding period.…”
Section: Gender Dynamics Of Employment Among Different Sectorsmentioning
confidence: 99%
“…Because colonial rulers consciously developed Punjab as a food grain-producing state, post-colonial rulers, who inherited the legacy of colonial rulers, adopted the same model. The dominance of smallscale industry and its dependence on the big industry of the state is a major obstacle to the industrial development of the state (Gill, 1983). The dismal scenario of the industrial sector in Punjab is further clear from the fact that the share of the industrial sector in State Domestic Product (21%) is less as 1983-19841993-19942017CAGR (1983 Period-I (1983-1984 to 1993-1994) Period-II (1993-1994 to 2017-2018) Overall (1983)(1984) compared to India (31.46%) and other developed states, including Maharashtra (33.6%), Tamil Nadu (34%), Gujarat (45%) and Karnataka (59%), as per the Reserve Bank of India, 2017-2018.…”
Section: Changing Patterns Of Output and Employment Elasticitymentioning
confidence: 99%
“…Consequently, enormous efforts by scholars, NGOs, and governments were absorbed in the development of successful and harmless vaccines for COVID-19 ( 12 ). Vaccination movements in high-income countries are fast-tracking in the world, but the population in low-income countries continues to be grievously exposed to COVID-19 ( 13 ). This gap is not only due to the inaccessibility of vaccines for COVID-19 but also due to the different perceptions of the community about the COVID-19 vaccine.…”
Section: Introductionmentioning
confidence: 99%