User:Cookiestar123/Choose an Article

Article Selection
Please list articles that you're considering for your Wikipedia assignment below. Begin to critique these articles and find relevant sources.

Option 1

 * GDP Density:
 * The difference between the growth of the average income per person (GDP per capita) and the income of a typical household, as seen in household surveys, is causing significant concerns, especially in the USA. This study explores how much this difference has increased and what factors contribute to it in 27 OECD countries, using data from OECD National Accounts and the Luxembourg Income Study. While most countries have experienced a faster increase in GDP per capita compared to the median household income during the covered period, the extent of this difference varies greatly, with the USA being a notable exception. The study identifies several factors contributing to this gap, and their impact varies widely among countries. Additionally, both the magnitude of the difference and the influence of contributing factors change significantly over time in the countries examined. These findings have important implications for tracking and evaluating changes in household incomes and living standards over time. However, it's essential to refer to the original published version for the complete details, as this abstract may be condensed, and no guarantee is provided regarding its accuracy. Users are allowed to print, download, or email articles for personal use.
 * This study employs geographical detectors to assess the individual and interactive impacts of various factors on changes in GDP density in the context of rural poverty. Key determinants, such as distance to main roads, vegetation (measured by the normalized differential vegetation index or NDVI), land use, average annual temperature, and elevation, are identified as significant contributors to GDP density changes in rural poverty. The research reveals that these factors interact with each other, demonstrating mutual enhancement and nonlinear effects, thereby amplifying their individual influences on GDP density. The findings not only uncover the differentiation mechanisms of economic development in impoverished villages but also propose targeted measures for poverty alleviation, emphasizing specific strategies tailored to distinct categories of poverty-stricken regions.
 * A study conducted by a group of economists in China examines the changes in tropospheric column nitrogen dioxide (NO2) in eastern China within the context of Major Function Oriented Zones (MFOZs) and relates them to GDP density. The annual average NO2 levels in eastern China follow an increasing and then decreasing trend, peaking in 2011 and hitting a low point in 2017. The regions with severe pollution, including Jing-Jin-Ji, Yangtze River Delta, and Pearl River Delta, all exhibit a decreasing trend, with Jing-Jin-Ji having the highest initial concentration and the steepest decline. Analysis of NO2 concentration in MFOZs reveals an upward trend in optimized zones and a downward trend in key ecological safety zones, with optimized zones experiencing the highest reduction rate. Population and GDP distribution play a pivotal role in influencing NO2 concentration, aligning with the density of population and GDP. Regions with higher population and GDP density, such as optimized and prioritized zones, show elevated NO2 levels, while those with lower density, like ecological safety zones, exhibit lower NO2 concentrations.:
 * Hou, Y., Wang, L., Liu, W. et al. Response of tropospheric nitrogen dioxide variations based on Major Function Oriented Zones over eastern China during 2006–2021. Air Qual Atmos Health 16, 437–444 (2023). https://doi.org/10.1007/s11869-022-01283-z
 * OECD Statistics Working Papers, 2015/06: Inclusive growth: The OECD measurement framework; Boarini, R.; Murtin, F.; Schreyer, P.; 2015, Paris : Organization for Economic Cooperation and Development. Document Type: book; [Citation Record]Times Cited in this Database: (1)
 * Wang, G., & Peng, W. (2021). Detecting influences of factors on GDP density differentiation of rural poverty changes. Structural Change & Economic Dynamics, 56, 141-151.:
 * OECD Statistics Working Papers, 2015/06: Inclusive growth: The OECD measurement framework; Boarini, R.; Murtin, F.; Schreyer, P.; 2015, Paris : Organization for Economic Cooperation and Development. Document Type: book; [Citation Record]Times Cited in this Database: (1)
 * Wang, G., & Peng, W. (2021). Detecting influences of factors on GDP density differentiation of rural poverty changes. Structural Change & Economic Dynamics, 56, 141-151.:
 * Wang, G., & Peng, W. (2021). Detecting influences of factors on GDP density differentiation of rural poverty changes. Structural Change & Economic Dynamics, 56, 141-151.:
 * Wang, G., & Peng, W. (2021). Detecting influences of factors on GDP density differentiation of rural poverty changes. Structural Change & Economic Dynamics, 56, 141-151.:

Option 2

 * Article title:
 * Article Evaluation:
 * Sources:

Option 3

 * Article title:
 * Article Evaluation:
 * Sources:

Option 4

 * Article title:
 * Article Evaluation:
 * Sources:

Option 5

 * Article title:
 * Article Evaluation:
 * Sources: