DC

Deeksha ChourasiyaAIR 44

Question 4GS3GS3

Examine the major challenges hindering the Indian textile industry from achieving its full potential in the global value chain.

Open scan (p.12)

Main Body

PM Narendra Modi has envisaged a 4F Model - that includes processing from Farm > Fibre > Fabric > Fashion. Yet, our textile sector has CABR below global average (especially Tiger Asian economies) Challenges in Textile Industry: [Production level] > Lack of staple cotton variety > Pest attacks - Ballworm > Climate-induced disaster > (Prayagraj - Vidarbha) Problems in availability of climate-resistant Bt cotton seeds only 60-70%: farmer avail [Processing level] > Absolute technology in winnowing and carding > Informal, manual labour in cotton textile mills

[Poor Production level] > Competition from cheap cotton clothes from China Myanmar > Lack of focus on non-cotton textile (60-70% textile 2 man-made fibre) Fragmented value chain under exports raw material, not processed fabric Steps taken: > PM Mitra Parks - used textile exglomeration level clasp ratios missing > Not missing on technical textile > Global value chain (logistics with logistics parity 2023) > Moving ahead, India needs to fully capitalize on its textile by > [Synergistic] value chain [Synergistic] value chains: [Strengthening agri-output] [Scalable air advantage]

— Deeksha Chourasiya · AIR 44

173 words1 paragraphs

Conclusion

Moving ahead, India needs to fully capitalize on its textile by creating synergistic value chains that strengthen agri-output and provide scalable advantages.

22 words

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Topper

Deeksha Chourasiya

AIR 44

Subject & Paper

GS3GS3

Topic

Agriculture and Food Security

Major Crops - Cropping Patterns

Textile Industry Challenges

Writing Stats

195

Total words

1

Paragraphs

analytical

Tone

Linked PYQ

There is a technological company named ABC Incorporated which is the second largest worldwide, situated in the Third World. You are the Chief Executive Officer and the majority shareholder of this company. The fast technological improvements have raised worries among environmental activists, regulatory authorities, and the general public over the sustainability of this scenario. You confront substantial issues about the business’s environmental footprint. In 2023, your organization had a significant increase of 48% in greenhouse gas emissions compared to the levels recorded in 2019. The significant rise in energy consumption is mainly due to the surging energy requirements of your data centers, fuelled by the exponential expansion of Artificial Intelligence (AI). AI-powered services need much more computational resources and electrical energy compared to conventional online activities, notwithstanding their notable gains. The technology’s proliferation has led to a growing concern over the environmental repercussions, resulting in an increase in warnings. AI models, especially those used in extensive machine learning and data processing, exhibit much greater energy consumption than conventional computer tasks, with an exponential increase. Although there is already a commitment and goal to achieve net zero emissions by 2030, the challenge of lowering emissions seems overwhelming as the integration of AI continues to increase. To achieve this goal, substantial investments in renewable energy use would be necessary. The difficulty is exacerbated by the competitive environment of the technology sector, where rapid innovation is essential for preserving market standing and shareholders’ worth. To achieve a balance between innovation, profitability and sustainability, a strategic move is necessary that is in line with both, business objectives and ethical obligations. (a) What is your immediate response to the challenges posed in the above case? (b) Discuss the ethical issues involved in the above case. (c) Your company has been identified to be penalized by technological giants. What logical and ethical arguments will you put forth convince about its necessity? (d) Being a conscience being, what measures would you adopt to maintain balance between AI innovation and environment footprint?

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