scholarly journals Impact of Enterprise Financing Constraints on Labor Income Share Based on Internet of Things Data Analysis Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Mengting Zhang ◽  
Wei Xu ◽  
Jun Zhang

Although the Chinese economy has developed rapidly since the reform and opening up, the income distribution gap is widening year by year. The final social income distribution pattern is highly dependent on the primary distribution pattern. Therefore, the changing trend and influencing factors of labor income share have become the focus of academic research and the focus of government attention. Based on this, this article proposes enterprise financing based on Internet of Things data analysis technology. Studies on the impact of restraints on labor income shares will help further research on the impact of corporate financial restraints on future labor income shares. Based on the financial data reports published in the CCER database and the company’s IPO prospectus and annual report, this paper discusses whether the company’s key business products belong to the Internet of Things’ key technology application categories. Take 226 IoT companies as the research objects of this article, and conduct a secondary screening. The final survey sample is used to investigate the impact of corporate funding constraints on labor income share. Tests have proved that among the 179 resource-based enterprises undergoing transformation, 109 enterprises have undergone intraindustry transformation, accounting for 48.23% of the overall sample and 60.89% of the sample of transformed enterprises. Downstream expansion makes the business industry expand. This shows that funding constraints have a negative impact on labor income share. This is primarily the result of the impact of the long-term debt-to-asset ratio on labor income share.

2020 ◽  
Vol 65 (supp01) ◽  
pp. 117-138
Author(s):  
JINXIAN WANG ◽  
CHEN WANG ◽  
YAN ZHANG

Since 2010, China’s miraculous growth has come to a halt and has shown steady deceleration. To re-accelerate economic growth, stimulating domestic consumption is a crucial way with fighting poverty as the key step. This paper attempts to explore the impact of poverty on resident consumption in China over the last four decades. Based on provincial data, we first simulate income distribution at the individual level and provide moderate poverty profiles at the provincial level. The empirical analyses are then conducted to gauge the poverty impacts using the estimated poverty index. Results show that (1) moderate poverty has decreased sharply in China, with the best achievement in Beijing, Shanghai and Guangdong; (2) moderate poverty exerts a significantly negative impact on resident consumption; and (3) when poverty increases, resident consumption on household equipment decreases the most, while resident consumption on food, transportation, and telecommunication decreases the least.


Social Forces ◽  
2020 ◽  
Vol 99 (2) ◽  
pp. 672-699
Author(s):  
Siwei Cheng ◽  
Kyriaki Kosidou ◽  
Bo Burström ◽  
Charlotte Björkenstam ◽  
Anne R Pebley ◽  
...  

Abstract The rise of income volatility in western countries has been extensively documented in the literature, but empirical research has just started to examine how childhood exposure to family income volatility affects subsequent wellbeing. This study takes advantage of several nation-wide, population registers from Sweden with linkages within and across generations to examine the intergenerational impact of childhood family income volatility on psychiatric disorders in early adulthood. In addition to the population-average effects, we also examine the heterogeneity in the impact of family income volatility for families at the top, bottom, and middle of the family income distribution. Our results suggest that after controlling for a set of family- and child-level characteristics, childhood family income volatility has a negative effect on mental wellbeing, and this finding is consistent across a range of psychiatric outcomes. Furthermore, we show that while children from low-income families exhibit the greatest likelihood of psychiatric disorder, children from families in the middle of the income distribution experience the greatest negative impact of income volatility.


2021 ◽  
Vol 55 (1) ◽  
Author(s):  
Svenja Lorenz ◽  
Thomas Zwick

AbstractThis paper assesses the impact of financial incentives on working after retirement. The empirical analysis is based on a large administrative individual career data set that includes information about 2% of all German employees subject to social security or in marginal employment until age 67 and their employers in the period 1975–2014. We use the classical labor supply model and differentiate between the impact of (potential) labor and non-labor (pension entitlements) income. A Heckman-type two step selection model corrects for endogeneity. We show that labor income has a positive and non-labor income a negative impact on the decision to work after retirement. Especially individuals who can substantially increase their earnings in comparison to their pension entitlements accordingly have a higher probability to work. Men are more attracted by labor earnings incentives than women. Also individuals who work until retirement are easier attracted to work after retirement by higher labor income than those with gaps between employment exit and retirement. Our results allow the calculation of the impact of changes in taxes on labor and non-labor income and changes in earnings offers by employers on work after retirement for different demographic groups.


2021 ◽  
Vol 5 (1) ◽  
pp. 42
Author(s):  
Silvianetri Silvianetri

Social media is a communication tool that is commonly used by everyone in today's technological era. Excessive use of social media will cause addiction, and have an impact on people's psychology. This article aims to reveal data on the impact of social media addiction on the psychology of society and its implications for counseling. The research uses qualitative research methods, especially phenomenology. The research instrument is the researcher himself, and for data collection using in-depth interviews and observation. The research respondents are the people of West Sumatra with male and female sexes aged 15 to 50 years. The data analysis technique is using Miles and Huberman data analysis with the following steps; data reduction, data display, and conclusion drawing/verification. The results of the study found that the psychological impact of social media addiction generally affects people's cognitive and emotions. The positive impact is cognitive, namely increasing insight and thinking skills, as well as giving birth to various creative ideas. The negative impact is causing forgetfulness, panic, dead-end thoughts, lack of logical thinking. Emotionally the positive impact of using social media by the community is to create happiness, optimism, motivation, enthusiasm, enthusiasm. The negative impact is causing anxiety, despair, sadness, resentment, anger and frustration. The results of this study have implications for counseling, namely preventively developing counseling techniques that aim to reduce social media addiction. Curatively, it can develop counseling techniques that can improve brain function and reduce anxiety levels.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Muhammad Fakhri Jamaluddin

<em>Tasikmalaya Regency is one of the areas in West Java Province which has a type of cultural tourism as its attraction. The type of potential cultural tourism in this regency is located in the Traditional Dragon Village Area, precisely in Neglasari Village, Salawu District. Kampung Naga is an area where the people still hold the beliefs or customs of their ancestors. The large number of tourists visiting Kampung Naga will have a positive or negative impact on this tradition. The purpose of this study is to identify the impact of tourism development on the life of the indigenous people of Kampung Naga, especially in implementing its traditions. The presence of tourists can affect the traditional life and culture of the local community, therefore it is necessary to have research on changes in the implementation of traditions (customs and customs) after the presence of tourists in the Kampung Naga area. The analytical method used is descriptive qualitative data analysis using the interactive model of Miles and Huberman. Based on this analysis, there are several changes in the implementation of the tradition as an impact felt by the local community after the development of tourism. The results of this identification are expected to be considered in tourism planning and development related to tourism policies and the ecosystem therein. Because by implementing a good and appropriate policy, the potential of the existing tourism area can run optimally by minimizing the negative impact on humans.</em>


2018 ◽  
Vol 4 (1) ◽  
pp. 39-46
Author(s):  
Muhammad Sibt-e- Ali ◽  
Imran Sharif Chaudhary ◽  
Fatima Farooq

This study examines the impact of human and social capital on economic development in Pakistan by employing empirical evidence from primary data analysis. The survey was conducted in Multan District based on the household concerning questionnaire. The results conclude that age, on job training, area of residence, public health units, and work experience have positive and significant impact on economic development, while norms of the society and gender have negative impact on economic development.  In other words, it is empirically evident from the analysis that human and social capital has strong impact on economic development.  Therefore, there is an ardent need to bring the sustainable changes in human and social capital for inclusive growth and economic development in Pakistan.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Roels Ni Made Sri Puspa Dewi

<p><em>The purpose of this study is to determine the perceptions of tourists on hawkers at Kuta Beach, to determine the role of managers in handling hawkers at Kuta Beach, and to know the impact of hawkers on Kuta Beach Tourism Attractions. Data collection methods used were observation, interviews, questionnaires, and literature study. Respondents came from domestic tourists and foreign tourists who were visiting the Kuta Beach with 30 people respondents. Informants are taken from several hawkers who sell on Kuta Beach and the Head of Kuta Beach Tourism Object Manager. Methods of data analysis using qualitative data analysis methods assisted by a Likert scale. The calculation using the Likert Scale shows that the average result of tourists 'perceptions of hawkers at Kuta Beach Tourism Object is 3.13 which means that they are classified as Neutral, which means that tourists' perceptions of hospitality, politeness, communication, price, and product quality are neutral or sufficient. The suggestion that can be given to the Kuta Beach Tourism Object Manager is to further increase the supervision and guidance of the Kuta Beach Tourism Object management and pay more attention to the existence of hawkers. Provide coaching and training so that hospitality, courtesy, communication can be improved for the better. So that the negative impact of the hawkers can be minimized properly.</em></p><p><strong><em></em></strong><em><br /></em></p>


2013 ◽  
Vol 12 (1) ◽  
pp. 47-67 ◽  
Author(s):  
Yiping Huang ◽  
Jian Chang ◽  
Lingxiu Yang

Boosting consumption has been a policy strategy for rebalancing the Chinese economy. The official statistics, however, show persistently declining consumption as a share of GDP during the past decade. In this paper, we provide a more complete picture of Chinese consumption by piecing together data from official and unofficial sources. Our estimations suggest that the consumption share rebounded from 2008, after a period of decline. This may provide the first piece of evidence that the rebalancing of the Chinese economy is already under way as a result of changes in factor markets, especially rapid increase in labor income, that have resulted in increases in household income as a share of GDP and improvement in income distribution across households.


2020 ◽  
pp. 097215092095727
Author(s):  
Bhanwar Singh ◽  
Rosy Dhall ◽  
Sahil Narang ◽  
Savita Rawat

This study examines the impact of the COVID-19 outbreak on the stock markets of G-20 countries. We use an event study methodology to measure abnormal returns (ARs) and panel data regression to explain the causes of ARs. Our sample consists of indices in G-20 countries. The observed window comprises 58 days post the COVID-19 outbreak news release in the international media, and the estimation window consists of 150 days before the event date. We find statistically significant negative ARs in the four sub-event windows during the 58 days. Negative ARs are significant for developing as well as developed countries. The findings of this study reveal that cumulative average abnormal return (CAAR) from day 0 to day 43, ranging from –0.70 per cent to –42.69 per cent, is a consequence of increased panic in the stock markets resulting from an increased number of COVID-19 positive cases in the G-20 countries. From day 43 to day 57, CAAR ranging from –42.69 per cent to –29.77 per cent indicates the recovery of stock markets after a major stock price correction due to COVID-19. Additionally, the results of panel data analysis confirm the recovery of stock markets from the negative impact of COVID-19.


2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Hyein Shim ◽  
Chune Young Chung ◽  
Doojin Ryu

Abstract This study examines the long-run determinants of the income distribution between capital and labor in the Korean market, a leading emerging market. We develop a model of a special type of oligopolistic market, controlled by a group of dominant firms, and a general oligopolistic market, with heterogeneously sized firms. This model provides empirically testable implications related to the long-run determinants of the income distribution. Using two measures of the degree of market concentration, the k-firm concentration ratio (CRk) and the Hirschman–Herfindahl index (HHI), we find a negative association between these concentration measures (CRk and HHI) and the labor income share. In addition, analyzing a unique dataset of manufacturing firms based on five- and three-digit Korean Standard Industry Classifications from 2000 to 2011, we find a significantly negative relationship between the labor income share and the market concentration, which is consistent with the implications of the model. Overall, our results suggest that building a more competitive product market environment could alleviate national income inequality.


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