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Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.
The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.
Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.
Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.
These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.
Q. Which of the following statements can be inferred from the given text?
  • a)
    Semiconductor manufacturing and technology development is a complex process.
  • b)
    The rural/countryside population in United States do not file patents.
  • c)
    Decrease in complex activities in an urban area results in de-urbanization of that place.
  • d)
    United States of America has a total of 353 metropolitan areas.
Correct answer is option 'A'. Can you explain this answer?
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Human activities, such as research, innovation and industry, concentr...
Semiconductor business is stated as an example of complex activity which means manufacturing and research for it has to come in the purview of complex processes. Options (b), (c) and (d) are inconclusive from the given text.
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Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer?
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Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer? for CLAT 2025 is part of CLAT preparation. The Question and answers have been prepared according to the CLAT exam syllabus. Information about Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer? covers all topics & solutions for CLAT 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer?.
Solutions for Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer? in English & in Hindi are available as part of our courses for CLAT. Download more important topics, notes, lectures and mock test series for CLAT Exam by signing up for free.
Here you can find the meaning of Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer?, a detailed solution for Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer? has been provided alongside types of Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. Can you explain this answer? theory, EduRev gives you an ample number of questions to practice Human activities, such as research, innovation and industry, concentrate disproportionately in large cities.The ten most innovative cities in the United States account for 23% of the national population, but for 48% of its patents and 33% of its gross domestic product. But why has human activity become increasingly concentrated? Here we use data on scientific papers, patents, employment and gross domestic product, for 353 metropolitan areas in the United States, to show that the spatial concentration of productive activities increases with their complexity.Complex economic activities, such as biotechnology, neurobiology and semiconductors, concentrate disproportionately in a few large cities compared to less-complex activities, such as apparel or paper manufacturing. We use multiple proxies to measure the complexity of activities, finding that complexity explains from 40% to 80% of the variance in urban concentration of occupations, industries, scientific fields and technologies.Using historical patent data, we show that the spatial concentration of cutting-edge technologies has increased since 1850, suggesting a reinforcing cycle between the increase in the complexity of activities and urbanization.These findings suggest that the growth of spatial inequality may be connected to the increasing complexity of the economy.Q. Which of the following statements can be inferred from the given text?a)Semiconductor manufacturing and technology development is a complex process.b)The rural/countryside population in United States do not file patents.c)Decrease in complex activities in an urban area results in de-urbanization of that place.d)United States of America has a total of 353 metropolitan areas.Correct answer is option 'A'. 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