πNew Economic Policy 1991
Issues before :
β Licensing & Regulations
β Restrictive trade practices
β Restrictions on foreign investment and imports
β Restrictions on Private participation
Objectives :
β Delicensing
β Deregulation of Industrial Sector
β Foreign Investment & technology transfer
β Reforming Public Sector
β Private Participation
Features :
β Removal of industrial registrations and licensing (Exception- Drugs, cigarette, liquor, hazardous chemicals, industrial equipment, and industrial explosives.
β Restrictive trade practices abandoned
β Freedom of production and expansion
β Freedom to import capital goods
β Increase in Small Scale Industries (SSIs) investment limit.
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Issues before :
β Licensing & Regulations
β Restrictive trade practices
β Restrictions on foreign investment and imports
β Restrictions on Private participation
Objectives :
β Delicensing
β Deregulation of Industrial Sector
β Foreign Investment & technology transfer
β Reforming Public Sector
β Private Participation
Features :
β Removal of industrial registrations and licensing (Exception- Drugs, cigarette, liquor, hazardous chemicals, industrial equipment, and industrial explosives.
β Restrictive trade practices abandoned
β Freedom of production and expansion
β Freedom to import capital goods
β Increase in Small Scale Industries (SSIs) investment limit.
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π4β€1
π Industrial Policy
β Government policy towards industry, for industrial and economic development.
Objectives:
β Rapid industrial growth
β Balanced Industrial Structure
β Balanced Regional Growth
β Solving unemployment
Categories :
β Strategic
β Basic/Key
β Important
β Other
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β Government policy towards industry, for industrial and economic development.
Objectives:
β Rapid industrial growth
β Balanced Industrial Structure
β Balanced Regional Growth
β Solving unemployment
Categories :
β Strategic
β Basic/Key
β Important
β Other
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π4
πIndustry 4.0
βͺοΈIndustry 4.0 usage of :
β cloud computing technologies+
β AI+
β cyber physical systems+
β IoT+
β quantum computing+
β 5G telephony+
β nanotechnology+
β biotech+
β robotics.
β Features : Big Data+ Analytics = improving product development+ Machine-Human Interface+ Physical-to-Digital Transfers (AI)+ Innovation, Creativity, & Connectivity.
βͺοΈPotential Benefits
1) Technological :
β Connected machinesβ data βenhanced performance & maintenance
β Optimization of operations
β Quality issues prevented
2) Economic :
β Analyzing & identifying patterns to gain insights in limited time frame without human intervention
β 5G make real-time downloads possible.
3) Social :
β Employment
β Curb wastage, optimize resources, reduce manufacturing cost.
βͺοΈPotential Challenges :
1) Technological :
β Data security
β McKinseyβs estimates : 80-90% industrial equipment to be replaced
2) Economic :
β Low R&D investment
β Poor IPR Regime
3) Social :
β Digital Divide & Inequality
β Governance challenges
β Increased unemployment due to machines- 300 Mn jobs lost
β Skilling, up-skilling, and re-skilling of 50% population
NITI Aayog suggestion :
β Discussion with leading companies
β Specialized training programmes : high-tech human resource
β Industry-academia R&D
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βͺοΈIndustry 4.0 usage of :
β cloud computing technologies+
β AI+
β cyber physical systems+
β IoT+
β quantum computing+
β 5G telephony+
β nanotechnology+
β biotech+
β robotics.
β Features : Big Data+ Analytics = improving product development+ Machine-Human Interface+ Physical-to-Digital Transfers (AI)+ Innovation, Creativity, & Connectivity.
βͺοΈPotential Benefits
1) Technological :
β Connected machinesβ data βenhanced performance & maintenance
β Optimization of operations
β Quality issues prevented
2) Economic :
β Analyzing & identifying patterns to gain insights in limited time frame without human intervention
β 5G make real-time downloads possible.
3) Social :
β Employment
β Curb wastage, optimize resources, reduce manufacturing cost.
βͺοΈPotential Challenges :
1) Technological :
β Data security
β McKinseyβs estimates : 80-90% industrial equipment to be replaced
2) Economic :
β Low R&D investment
β Poor IPR Regime
3) Social :
β Digital Divide & Inequality
β Governance challenges
β Increased unemployment due to machines- 300 Mn jobs lost
β Skilling, up-skilling, and re-skilling of 50% population
NITI Aayog suggestion :
β Discussion with leading companies
β Specialized training programmes : high-tech human resource
β Industry-academia R&D
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π10
πManufacturing Sector in India
β 19% of Indiaβs GVA + 15% Jobs + 66.6% Capacity Utilization + 65% Exports, Current contribution:
β 17% to GDP, Contribution to manf output- China -1&Ind-6, R&D? 0.7% GDP
β India- Rank 30 in Global Manufacturing Index 2020, 35% of FDI to manufacturing sector & 53% FDI to Services Sector (Use any 2 facts to support an argument in body)
βͺοΈImportance
πΈECONOMIC
β Backbone of economy
β Modernizing agriculture
β Reducing over-dependence on agriculture
β Promoting exports
β Expanding trade and commerce
β Bringing foreign exchange/FDI
β Atmanirbhar Bharat
β Tax revenues
β Raw materials into finished goods.
πΈSOCIAL
β Minimizing unemployment and poverty
β Bridging regional disparities
β Choice to consumers
β Mainstreaming indigenous craft
βͺοΈGrowth Drivers
πΈResources :
β Natural resources like iron, steel, cotton
β Logistics & maritime potential (7500 Km coastline)
β Investment in physical & digital infrastructure (100 Lac Cr Rs by National infra pipeline)
πΈHuman Resource:
β Youngest work force
β Cheaper vs China
πΈStructural Factors :
β Large developing economy
β Large consumption base
β Focus on sustainability & environment concerns
πΈGovt. initiatives:
β Tax reforms like GST
β Ease of Doing Business (Rank 63)
β MSME Reforms
β Land reforms
πΈEntrepreneurship culture :
β High tech adoption
β Startups
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β 19% of Indiaβs GVA + 15% Jobs + 66.6% Capacity Utilization + 65% Exports, Current contribution:
β 17% to GDP, Contribution to manf output- China -1&Ind-6, R&D? 0.7% GDP
β India- Rank 30 in Global Manufacturing Index 2020, 35% of FDI to manufacturing sector & 53% FDI to Services Sector (Use any 2 facts to support an argument in body)
βͺοΈImportance
πΈECONOMIC
β Backbone of economy
β Modernizing agriculture
β Reducing over-dependence on agriculture
β Promoting exports
β Expanding trade and commerce
β Bringing foreign exchange/FDI
β Atmanirbhar Bharat
β Tax revenues
β Raw materials into finished goods.
πΈSOCIAL
β Minimizing unemployment and poverty
β Bridging regional disparities
β Choice to consumers
β Mainstreaming indigenous craft
βͺοΈGrowth Drivers
πΈResources :
β Natural resources like iron, steel, cotton
β Logistics & maritime potential (7500 Km coastline)
β Investment in physical & digital infrastructure (100 Lac Cr Rs by National infra pipeline)
πΈHuman Resource:
β Youngest work force
β Cheaper vs China
πΈStructural Factors :
β Large developing economy
β Large consumption base
β Focus on sustainability & environment concerns
πΈGovt. initiatives:
β Tax reforms like GST
β Ease of Doing Business (Rank 63)
β MSME Reforms
β Land reforms
πΈEntrepreneurship culture :
β High tech adoption
β Startups
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π8π1
πIndustry Revolution 4.0
β Current trend of data exchange and automation in manufacturing technologies all around the worldS.
β It includes usage of cloud computing, artificial intelligence, cyber physical systems, Internet of Things, quantum computing, 5G telephony, nanotechnology, biotech, robotics
βͺοΈFeatures:
β Big Data
β Advanced Analytics
β Machine-Human Interface
β Physical-to-Digital Transfers
β Innovation
β Creativity and
β Connectivity
βͺοΈBenefits
β Optimisation of operations effectively
β Data generated can inform performance & maintenance
β Increase in technology
β Prevention of Quality incidents
β Reduce manufacturing cost
β Gain insights without human intervention
βͺοΈChallenges :
β Digital Divide & Inequality
β Low investment in R&D
β Poor IPR Regime
β Governance challenges
β Indiaβs data security
β Skilling, un-skilling, and re-skilling of 50% population
β Current industrial equipment would have to be replaced
βͺοΈIndiaβs upper Hand :
β Digital India
β Governance
β Strong IT Sector
βͺοΈIs India ready?
β Missed IR 1 to IR3
β Rare Robots
β Low vocational training capacity
β 45% MSME
β 90% Informal sector
β Good in software but poor in hardware
β NITI Aayog Suggestions: NITI Aayog could organise a discussion on βIndustry 4.0, Specialised training programmes on Smart Manufacturing, DHI should develop Central Manufacturing Technology Institute, DST should spearhead industry-academia R&D projects on cyber physical systems.
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β Current trend of data exchange and automation in manufacturing technologies all around the worldS.
β It includes usage of cloud computing, artificial intelligence, cyber physical systems, Internet of Things, quantum computing, 5G telephony, nanotechnology, biotech, robotics
βͺοΈFeatures:
β Big Data
β Advanced Analytics
β Machine-Human Interface
β Physical-to-Digital Transfers
β Innovation
β Creativity and
β Connectivity
βͺοΈBenefits
β Optimisation of operations effectively
β Data generated can inform performance & maintenance
β Increase in technology
β Prevention of Quality incidents
β Reduce manufacturing cost
β Gain insights without human intervention
βͺοΈChallenges :
β Digital Divide & Inequality
β Low investment in R&D
β Poor IPR Regime
β Governance challenges
β Indiaβs data security
β Skilling, un-skilling, and re-skilling of 50% population
β Current industrial equipment would have to be replaced
βͺοΈIndiaβs upper Hand :
β Digital India
β Governance
β Strong IT Sector
βͺοΈIs India ready?
β Missed IR 1 to IR3
β Rare Robots
β Low vocational training capacity
β 45% MSME
β 90% Informal sector
β Good in software but poor in hardware
β NITI Aayog Suggestions: NITI Aayog could organise a discussion on βIndustry 4.0, Specialised training programmes on Smart Manufacturing, DHI should develop Central Manufacturing Technology Institute, DST should spearhead industry-academia R&D projects on cyber physical systems.
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π5
STEM β Science, Technology, Engineering and Mathematics
β Relevance
πΈ Promote critical thinking
πΈ Facilitate social mobility
πΈ Enhance economic productivity
πΈ Create innovators
β Representation of women in STEM :
πΈ Globally only 18% girls in tertiary education pursuing STEM
πΈ Only 18% researchers, 14% in engineering & technology, 24% in health sciences are women.
β Factors causing gender stem gaps :
πΈ Dual role syndrome-professional decision by womens affected by domestic responsibilities.
πΈ Discrimination at workplace- due to lack of leadership roles
πΈ Gender stereotypes- that women are intellectually weaker.
πΈ Lack f suitable workplace or educational benefits
πΈ Fewer roles played by girls.
β Initiatives taken :
πΈ Vigyan Jyoti- Level Playing Field for Meritorious Girls
πΈ Kiran- Knowledge Awareness Research Advancement Through Nurturing
πΈ Gati- Gender Advancement for Transforming Institutions.
πΈ Biotechnology Career Advancement & Reorientation Programme/ BioCare.
β Way forward
πΈ Womenβs forum or working parentsβ connections.
πΈ Biographies of female scientists, mathematicians etc.
πΈ Paternity leave
πΈ CrΓ¨che facilities
πΈ Gender Inclusion Fund
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β Relevance
πΈ Promote critical thinking
πΈ Facilitate social mobility
πΈ Enhance economic productivity
πΈ Create innovators
β Representation of women in STEM :
πΈ Globally only 18% girls in tertiary education pursuing STEM
πΈ Only 18% researchers, 14% in engineering & technology, 24% in health sciences are women.
β Factors causing gender stem gaps :
πΈ Dual role syndrome-professional decision by womens affected by domestic responsibilities.
πΈ Discrimination at workplace- due to lack of leadership roles
πΈ Gender stereotypes- that women are intellectually weaker.
πΈ Lack f suitable workplace or educational benefits
πΈ Fewer roles played by girls.
β Initiatives taken :
πΈ Vigyan Jyoti- Level Playing Field for Meritorious Girls
πΈ Kiran- Knowledge Awareness Research Advancement Through Nurturing
πΈ Gati- Gender Advancement for Transforming Institutions.
πΈ Biotechnology Career Advancement & Reorientation Programme/ BioCare.
β Way forward
πΈ Womenβs forum or working parentsβ connections.
πΈ Biographies of female scientists, mathematicians etc.
πΈ Paternity leave
πΈ CrΓ¨che facilities
πΈ Gender Inclusion Fund
#social_justice
#GS2
#mains_2023
#Keyboard
#mains
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π13β€3