Which policy change could help reduce urban bias in development?

Study for the Development Geography Test with flashcards and multiple-choice questions. Each question comes with hints and explanations to help you prepare effectively. Get ready to ace your exam!

Multiple Choice

Which policy change could help reduce urban bias in development?

Explanation:
This question tests how to reduce urban bias by shifting development resources toward areas that are underserved. Increasing rural investments and improving rural services directly targets the imbalance: it boosts infrastructure, education, health, and economic opportunities in the countryside, which helps raise rural productivity and living standards and narrows the gap with urban areas. When rural areas receive more support, development effects spread more evenly, and the incentive for people to move to cities decreases. Concentrating investments in urban centers would likely widen the gap, making the bias worse. Decreasing overall development funding reduces resources everywhere without specifically addressing how they are distributed. Reducing rural taxes doesn’t guarantee more development activity in rural areas and may not fix the underlying allocation issue.

This question tests how to reduce urban bias by shifting development resources toward areas that are underserved. Increasing rural investments and improving rural services directly targets the imbalance: it boosts infrastructure, education, health, and economic opportunities in the countryside, which helps raise rural productivity and living standards and narrows the gap with urban areas. When rural areas receive more support, development effects spread more evenly, and the incentive for people to move to cities decreases.

Concentrating investments in urban centers would likely widen the gap, making the bias worse. Decreasing overall development funding reduces resources everywhere without specifically addressing how they are distributed. Reducing rural taxes doesn’t guarantee more development activity in rural areas and may not fix the underlying allocation issue.

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