scholarly journals Stochastic Analysis of a Nonlinear Business Cycle Model with Correlated Random Income Disturbance

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Jun Zhao

The economic cycle has always been an important feature of the evolution of an economic system. In the presence of many uncertain factors, it appears in the manner of very complex nonlinearity and randomness. Based on the theory of stochastic nonlinear dynamics, a nonlinear economic cycle model with correlated random income disturbance is established. The probability density evolution of the nonlinear economic cycle model under random disturbance is numerically analyzed by using a path integration method. The analysis shows the high saving rate reduces the investment and improves the probabilities of low income and low income change rate. In order to achieve a higher income, the saving rate should be controlled to some reasonable small value. The nonlinearity of the economic cycle model increases the probabilities of high income and high income change rate, which can lead to the increase of income in a probabilistic sense. The increase of random income interference enhances the uncertainty of income. Meanwhile, the increase of correlated random income disturbance can lead to a nonsymmetric distribution of the probability distributions of income and income change rate. In such cases, the income is more difficult to forecast and control.

Jurnal Dampak ◽  
2014 ◽  
Vol 11 (1) ◽  
pp. 28 ◽  
Author(s):  
Yommi Dewilda ◽  
Yeggi Darnas
Keyword(s):  

Penelitian ini bertujuan untuk mendapatkan data timbulan dan komposisi sampah domestik di Kabupaten Tanah Datar serta dapat membandingkan perbedaan timbulan dan komposisi sampah yang dihasilkan berdasarkan tingkat pendapatan masyarakat (High income, Medium income dan Low income). Data timbulan dan komposisi sampah diperlukan dalam perencanaan dan pengembangan sistem pengelolaan sampah. Sampling timbulan dan jumlah sampling dilakukan berdasarkan SNI 19-3964-1994. Hasil penelitian timbulan sampah domestik dalam satuan berat 0,232 kg/o/h dan dalam satuan volume 3,646 l/o/h. Berdasarkan tingkat pendapatan dalam satuan berat High Income (HI) 0,308 kg/o/h, Medium Income (MI) 0,198 kg/o/h dan Low Income (LI) 0,190 kg/o/h dalam satuan volume HI 4,269 l/o/h, MI 3,835 l/o/h dan LI 2,835 l/o/h. Timbulan sampah yang dihasilkan penduduk dengan High Incame lebih besar dibandingkan dengan penduduk dengan pendapatan Medium Income dan Low Income. Komposisi sampah domestik untuk sampah basah 75,5%; sampah plastik 16,6%; sampah kertas 5,3%; sampah tekstil 0,8%; sampah kayu 0,3%; sampah kaca 0,7%; sampah logam ferrous 0,2%; sampah logam non ferrous 0,1%; dan sampah lain-lain 0,5%.Kata kunci: sampah domestik, komposisi sampah, timbulan Sampah


Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2530
Author(s):  
Navika Gangrade ◽  
Janet Figueroa ◽  
Tashara M. Leak

Snacking contributes a significant portion of adolescents’ daily energy intake and is associated with poor overall diet and increased body mass index. Adolescents from low socioeconomic status (SES) households have poorer snacking behaviors than their higher-SES counterparts. However, it is unclear if the types of food/beverages and nutrients consumed during snacking differ by SES among adolescents. Therefore, this study examines SES disparities in the aforementioned snacking characteristics by analyzing the data of 7132 adolescents (12–19 years) from the National Health and Nutrition Examination Survey 2005–2018. Results reveal that adolescents from low-income households (poverty-to-income ratio (PIR) ≤ 1.3) have lower odds of consuming the food/beverage categories “Milk and Dairy” (aOR: 0.74; 95% CI: 0.58-0.95; p = 0.007) and “Fruits” (aOR: 0.62, 95% CI: 0.50–0.78; p = 0.001) as snacks and higher odds of consuming “Beverages” (aOR: 1.45; 95% CI: 1.19-1.76; p = 0.001) compared to those from high-income households (PIR > 3.5). Additionally, adolescents from low- and middle-income (PIR > 1.3–3.5) households consume more added sugar (7.98 and 7.78 g vs. 6.66 g; p = 0.012, p = 0.026) and less fiber (0.78 and 0.77 g vs. 0.84 g; p = 0.044, p = 0.019) from snacks compared to their high-income counterparts. Future research is necessary to understand factors that influence snacking among adolescents, and interventions are needed, especially for adolescents from low-SES communities.


2021 ◽  
Vol 15 ◽  
pp. 183449092110257
Author(s):  
Qiong Li ◽  
Chen Deng ◽  
Bin Zuo ◽  
Xiaobin Zhang

This study explored whether vertical position affects social categorization of the rich and the poor. Experiment 1 used high- and low-income occupations as stimuli, and found participants categorized high-income occupations faster when they were presented in the top vertical position compared to the bottom vertical position. In Experiment 2, participants responded using either the “up” or “down” key to categorize high- and low-income occupations, and responded faster to high-income occupations with the “up” key and low-income occupations with the “down” key. In Experiment 3, names identified as belonging to either rich or poor individuals were presented at the top or bottom of a screen, and the results were the same as in Experiments 1 and 2. These findings suggest that social categorization based on wealth involved perceptual simulations of vertical position, and that vertical position affects the social categorization of the rich and the poor.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Isaac Mbir Bryant ◽  
Abdul-Rahaman Afitiri

Abstract Background Sustainability of energy is key for quality life; thus, the use of clean energy at the household level warrants moving from fossil-based energy to modern forms like biogas. However, the joint interactive effect of household income, biogas usage and willingness to adopt a single-stage solar-supported hyper-thermophilic anaerobic biogas digester (SSHTABD) is not known. Methods A cross-sectional survey was carried out to assess the willingness of residents of Elmina to adopt the SSHTABD. Stratified and simple random sampling techniques were used to select 219 respondents fitted into a complementary log–log regression model. Results Household willingness to adopt the SSHTABD was 86%. Among them are households not willing to use biogas but have high income and households willing to use biogas but have either low or high income are more likely to adopt the technology compared to households not willing to use biogas and have low income. Households not willing to use biogas, but have high income (OR = 1.725, confidence interval [CI] 0.803–3.706) and households willing to use biogas, but have low income (OR = 1.877, CI 1.103–3.188) compared to households willing to use biogas and have high income (OR = 1.725, CI 1.080–3.451) are more likely to adopt the technology as households not willing to use biogas and have low income. Additionally, households employed under the formal government sector, formal and informal private sectors are 40%, 136% and 103%, respectively, more likely to adopt the technology than those unemployed. Conclusion The high willingness of households to adopt the technology calls for government to support households to own biogas digesters thus requires policy interventions and interdisciplinary research.


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