per capita variables

简明释义

按人口平均计算的变数

英英释义

例句

1.In environmental studies, per capita variables such as carbon emissions help assess individual contributions to climate change.

在环境研究中，像碳排放这样的人均变量有助于评估个人对气候变化的贡献。

2.Economic growth can be better understood by examining per capita variables rather than total figures.

通过检查人均变量而非总数，可以更好地理解经济增长。

3.The study analyzed various economic indicators as per capita variables to understand individual wealth distribution.

该研究分析了各种经济指标作为人均变量以了解个人财富分布。

4.The government reported that the per capita variables for education spending increased significantly last year.

政府报告称，去年的教育支出的人均变量显著增加。

5.When comparing health outcomes, researchers often use per capita variables to ensure fair comparisons across different populations.

在比较健康结果时，研究人员通常使用人均变量以确保不同人群之间的公平比较。

作文

In the field of economics and social sciences, the term per capita variables refers to metrics that are normalized by the population size of a given area. This concept is crucial for understanding various phenomena related to economic performance, health outcomes, and social indicators. The phrase itself translates to '人均变量' in Chinese, which highlights its focus on individual contributions or averages rather than total figures. For instance, when we look at GDP per capita, we are examining the average economic output per person within a specific country or region. This provides a clearer picture of the standard of living compared to simply considering the total GDP, which can be misleading in countries with large populations.One significant advantage of using per capita variables is that they allow for more equitable comparisons between regions with different population sizes. For example, if we were to compare two countries, one with a population of 10 million and another with 100 million, looking solely at the total healthcare expenditure would not provide an accurate representation of the healthcare accessibility and quality experienced by individuals in each country. However, if we analyze healthcare spending on a per capita basis, we can better understand how much each citizen is benefiting from their country's healthcare system.Moreover, per capita variables are essential in addressing issues of inequality and resource distribution. By examining income levels on a per capita basis, researchers can identify disparities that may not be apparent when only looking at aggregate data. For instance, a country may have a high total income but also a significant wealth gap. Analyzing income per capita reveals the average income of individuals, shedding light on the economic challenges faced by lower-income groups.In environmental studies, per capita variables are also utilized to assess sustainability and resource consumption. For instance, measuring carbon emissions per capita allows us to evaluate the environmental impact of individuals in different countries. This metric is particularly important in discussions around climate change, as it helps to identify which nations contribute most significantly to global emissions on an individual basis. Without this perspective, discussions about responsibility and action could be skewed by the sheer size of a nation’s total emissions.Furthermore, the application of per capita variables extends beyond economics and environmental studies into public health. Health researchers often use these metrics to analyze disease prevalence or healthcare access among populations. For example, calculating the number of doctors per capita in a region can reveal whether there are enough healthcare providers to meet the needs of the population. This kind of analysis can inform policy decisions and help allocate resources more effectively.In conclusion, understanding per capita variables is vital for analyzing a wide range of social, economic, and environmental issues. By normalizing data based on population size, we gain insights that allow for more accurate comparisons and a deeper understanding of individual experiences within broader trends. Whether in assessing economic health, environmental impact, or public health outcomes, per capita variables serve as a fundamental tool in research and policy-making, guiding efforts toward equity and sustainability.

在经济学和社会科学领域，术语人均变量指的是按特定区域的人口规模进行标准化的指标。这个概念对于理解与经济表现、健康结果和社会指标相关的各种现象至关重要。这个短语在中文中翻译为“人均变量”，强调其关注个体贡献或平均值，而不是总数。例如，当我们查看人均GDP时，我们正在考察特定国家或地区每个人的平均经济产出。这提供了一个更清晰的生活水平图景，相比于仅考虑总GDP，这可能在拥有大人口的国家中产生误导。使用人均变量的一个显著优势是，它们允许在不同人口规模的地区之间进行更公平的比较。例如，如果我们要比较两个国家，一个人口为1000万，另一个为1亿，仅仅比较总医疗支出并不能准确反映每个国家公民所经历的医疗可及性和质量。然而，如果我们在人均基础上分析医疗支出，我们可以更好地理解每位公民从其国家的医疗系统中受益多少。此外，人均变量在解决不平等和资源分配问题方面也至关重要。通过按人均水平分析收入，研究人员可以识别出在仅查看汇总数据时可能不明显的不平衡。例如，一个国家可能总收入很高，但也存在显著的财富差距。分析人均收入揭示了个人的平均收入，突显了低收入群体面临的经济挑战。在环境研究中，人均变量也被用于评估可持续性和资源消耗。例如，测量人均碳排放使我们能够评估不同国家个人的环境影响。这个指标在气候变化讨论中尤为重要，因为它有助于确定哪些国家在个人基础上对全球排放贡献最大。如果没有这种视角，关于责任和行动的讨论可能会因国家总排放量的庞大而失真。此外，人均变量的应用不仅限于经济学和环境研究，还扩展到公共卫生领域。健康研究人员经常使用这些指标来分析人群中的疾病流行率或医疗服务获取情况。例如，计算某地区每万人口的医生数量可以揭示是否有足够的医疗提供者来满足人口的需求。这种分析可以为政策决策提供依据，并帮助更有效地分配资源。总之，理解人均变量对于分析广泛的社会、经济和环境问题至关重要。通过根据人口规模标准化数据，我们获得了允许更准确比较和更深入理解个体经验与更广泛趋势之间关系的洞察。无论是在评估经济健康、环境影响还是公共卫生结果方面，人均变量作为研究和政策制定的基本工具，指导着朝向公平和可持续发展的努力。