scholarly journals Analysis of Urban Residents’ Willingness to Pay for Forest Ecological Services Based on the Multilayer Linear Model

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Yi Sun ◽  
Hua Li
Keyword(s):  
Social Security ◽  
Willingness To Pay ◽  
Capita Income ◽  
Price Index ◽  
Environmental Awareness ◽  
Consumer Price Index ◽  
Urban Residents ◽  
Ecological Services ◽  
Individual Level ◽  
Per Capita

This study takes 8 cities in Shaanxi province as the research object and uses the multilayer linear model specifically for nested structure data to introduce the urban macroexplanatory variables on the basis of individual level of residents and influence the willingness of urban residents to pay for forest ecological services. The factors are analyzed in multiple layers to find out the prediction effect on ecological payment, and on this basis, corresponding countermeasures and suggestions are put forward. The results show that regional differences have a significant impact on residents’ willingness to pay for forest ecological services; individual characteristics and regional characteristics can independently have a significant impact on residents’ willingness to pay; after introducing macrolevel variables, individual-level environmental awareness and per capita income, five variables, such as education level, place of residence, and age, have significant predictive effects on residents’ willingness to pay; among them, the interaction between consumer price index and environmental awareness is the largest, followed by the interaction between consumer price index and age. Per capita social security is the interaction between expenditure and environmental awareness. Finally, that is the interaction between the per capita social security expenditure and age and the interaction between the average salary of employees and the monthly per capita income.

Cluster Analysis of the Chrysalis Silk Production Provinces in China

2013 ◽  
Vol 796 ◽  
pp. 323-326
Author(s):  
Huan Wang ◽  
Ting Ting Tao ◽  
Wan Chun Fei
Keyword(s):  
Principal Components ◽  
Clustering Analysis ◽  
Structural Adjustment ◽  
Price Index ◽  
Consumer Price Index ◽  
Principal Component ◽  
Original Data ◽  
Basic Reference ◽  
Per Capita ◽  
Production Areas

In this article, the yield of mulberry cocoon, the output of raw silk, the output of silk fabric, the consumer price index, the GDP per capita and the per capita income from 1999 to 2011 were analyzed for their principal components on the major production areas of cocoon and silk in China. The principal component analysis can ensure the smallest loss of the original data, to replace the multi-variables with a few synthetic variables, to simplify the data structure, and objectively determine the weights. The distances and similarities between provincial principal components, which were regarded as multivariable time series, were analyzed and computed, and clustering analysis were carried out. The result can be used as a basic reference for the industrial configuration and structural adjustment of silk in China.

scholarly journals IMPACT OF REMITTANCES ON PRIVATE SECTOR CREDIT IN THE PACIFIC ISLAND COUNTRIES

2020 ◽  
Vol 23 ◽  
pp. 13-32 ◽  
Author(s):  
Hong Chen ◽  
Shamal Chand ◽  
Baljeet Singh
Keyword(s):  
Developing Countries ◽  
Private Sector ◽  
Price Index ◽  
Consumer Price Index ◽  
Institutional Quality ◽  
Pacific Island ◽  
Capita Gross Domestic Product ◽  
Bank Branches ◽  
The Pacific ◽  
Per Capita

We examine the effect of remittances on private sector credit in the Pacific Islandcountries (PICs) using the data from 58 developing countries from 2004 to 2016. Theanalysis provides strong evidence that the effect of remittance inflows on privatesector credit for PICs is positive and higher than that for other developing countries.In addition, the per capita gross domestic product, official development assistance,the number of bank branches, and institutional quality are also positively associatedwith private sector credit in PICs, while the Consumer Price Index is negativelyassociated with private sector credit. These results have important implications for thedevelopment of financial sector in PICs.

Migration and the Regional Redistribution of Nonearnings Income in the United States: Metropolitan and Nonmetropolitan Perspectives from 1975 to 2000

2005 ◽  
Vol 37 (9) ◽  
pp. 1613-1636 ◽  
Author(s):  
Peter B Nelson
Keyword(s):  
United States ◽  
Social Security ◽  
New England ◽  
Capita Income ◽  
The United States ◽  
Economic Benefits ◽  
Per Capita Income ◽  
Advanced Economies ◽  
Investment Income ◽  
Per Capita

Many advanced economies have an aging population that relies heavily on government pensions, social security, and privately held investment-based income. In the United States the geography of social security and investment income (collectively called nonearnings income) is uneven. Furthermore, the ways in which migration serves to redistribute such income across space remain unstudied. This paper highlights regions in the United States that are becoming increasingly attractive to nonearnings income through migration. Overall, there is a consistent Rustbelt-to-Sunbelt shift in nonearnings income due to migration. These income shifts, however, are quite distinct between metropolitan and nonmetropolitan areas. Starting in the late 1980s, nonmetropolitan portions of the Rustbelt enjoyed net gains in nonearnings income through migration processes. Therefore, it appears that the migration systems which drew income away from the nonmetropolitan north during the 1970s are now shifting to some degree. Analysis further indicates that migration contributes to greater levels of economic disparity across space. Whereas flows of social security income are highly influenced by the aggregate level of migration, flows of investment income are more influenced by differentials in migrants' per capita income levels. Regions such as the Plains are attracting migrants with relatively low per capita nonearnings income whereas the Rocky Mountain and New England regions are attracting individuals with high per capita income. Destinations such as the Rocky Mountains and New England are likely to enjoy significant economic benefits as new sources of income arrive which are tied to migration, but the Plains region is left with less-well-off populations, which pose significant social and economic problems in such sending regions. As the population in the United States and other advanced economies ages, these processes of nonearnings income migration become increasingly important in shaping local and regional economic conditions.

Optimization Models of Predicting the Per Capita Income of Urban Residents

2013 ◽  
Vol 411-414 ◽  
pp. 2589-2592
Author(s):  
Cong Jun Rao
Keyword(s):  
Prediction Model ◽  
Capita Income ◽  
Living Standards ◽  
Urban Residents ◽  
Social Stability ◽  
Per Capita Income ◽  
Specific Data ◽  
Per Capita ◽  
Important Measurement ◽  
Satisfactory Prediction

The per capita income of urban residents reflects the improvement of actual urban residents living standards and social stability, which is important measurement degree of a countrys economic development. Aiming at the problem of predicting the per capita income of urban residents, this paper presents a grey GM(1,1) prediction model and a grey Markov prediction model, and gives a prediction application together with the specific data of Chinese per capita income of urban residents from the year of 1991 to 2010, and it obtains satisfactory prediction results.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI KUNJUNGAN WISATAWAN MANCA NEGARA KE INDONESIA

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Wawan Hermawan
Keyword(s):  
Price Index ◽  
Income Elasticity ◽  
Trade Openness ◽  
Consumer Price Index ◽  
Important Variable ◽  
Real Effective Exchange Rate ◽  
Annual Number ◽  
Important Indicator ◽  
Tourism Sector ◽  
Per Capita

The tourism sector is a sector that can be relied on to earn foreign exchange.Revenue from tourism showed significant progress and continues to grow, so bringa high impact on the Indonesian economy. Number of tourists visiting foreigncountries is an important indicator for the growth of tourism sector in Indonesia isrelated to the increase in foreign exchange. Increase or decrease of tourist arrivals isinfluenced both by internal factors such as the condition of tourist destinations inIndonesia, politics and security in Indonesia or external factors such as the economic conditions of the various countries of origin of foreign tourists. This study uses panel data with the annual number of tourist arrivals from a number of countries to Indonesia for 19 years as the dependent variable. The independent variable of this research is RGDPP (Real GDP Per Capita), RREER (Relative Real Effective Exchange Rate), TCPI (Indicative Ratio of Consumer Price Index), Population, CPITUNIS (Consumer Price Index Tunisia), TO (Trade Openness). The results of this study indicate that tourist arrivals to Indonesia is heavily influenced by the distance from their home country to destinations in Indonesia. This variable is the biggest variable affecting the arrival of foreign tourists to Indonesia. Income per capita is the second largest variable and has a coefficient  close to unity, so that the income elasticity of country of origin is an important variable to be considered.

scholarly journals HOUSEHOLDS’ WILLINGNESS TO PAY FOR SOLID WASTE MANAGEMENT SERVICES IN LOC NINH COMMUNE, DONG HOI CITY

2018 ◽  
Vol 55 (4C) ◽  
pp. 162
Author(s):  
Tran Ngoc Tuan
Keyword(s):  
Willingness To Pay ◽  
Capita Income ◽  
Solid Waste Management ◽  
Weighted Average ◽  
Sampling Technique ◽  
Per Capita Income ◽  
Analysis Model ◽  
Number Of Factors ◽  
Local Residents ◽  
Per Capita

The willingness to pay (WTP) for environmental sanitation fee was examined with an aim to estimate the average WTP of local residents in Loc Ninh commune, Dong Hoi city, and to analyze a number of factors influencing the WTP level. Ninety six households were selected with a Stratified Random Sampling technique and interviewed with structured questionnaires on different fee levels that they were willing to pay for. The analysis results processed with Weighted Average Method showed that the average WTP was 18,440 VND/month. The highest and lowest WTP per month were 26,000÷29,000 VND/month and 17,000 VND/month, respectively. Based on Regression Analysis Model added in the Analysis Toolpak of MS. Excel, this paper investigated 4 key demographic characteristics of respondents; namely age, sex, occupation and per capita income which likely affected the WTP level. Of which, education and per capita income greatly influenced the WTP, i.e. respondents with higher levels of these factors showed higher level of WTP. In terms of occupation, the WTP of those residents who were engaged in farming were lower than that of other surveyed occupations.

Social Security and Growth in an Altruistic Economy

2002 ◽  
Vol 3 (1) ◽  
pp. 53-80
Author(s):  
Berthold U. Wigger
Keyword(s):  
Social Security ◽  
Endogenous Growth ◽  
Capita Income ◽  
Future Generations ◽  
Income Growth ◽  
Macroeconomic Impact ◽  
Private And Public ◽  
Per Capita ◽  
Capita Income Growth ◽  
Social Security Benefits

Abstract This paper studies the macroeconomic impact of private and public intergenerational transfers in the presence of endogenous growth. It focuses on two-sided altruism implying that individuals have both a motive to make gifts to their parents and a motive to leave bequests to their children. The growth effects of social security depend on whether children are making gifts to their parents or parents are leaving bequests to their children. Which of the transfers is operative, in turn, depends on the size of social security benefits. Social security is legislated endogenously. The introduction of a social security program which definitely reduces per capita income growth and harms future generations is contemplated by altruistic individuals even if non-altruistic individuals disapprove it.

scholarly journals Analyzing the risk of entrepreneurship in tourist traffic

2018 ◽  
Vol 16 (1) ◽  
pp. 199-206 ◽  
Author(s):  
Roland Weiss ◽  
Jozef Zuzik ◽  
Erik Weiss ◽  
Slavomir Labant ◽  
Marcela Gergeľová
Keyword(s):  
Exchange Rate ◽  
Social Factors ◽  
Price Index ◽  
Consumer Price Index ◽  
Tourist Industry ◽  
Aviation Accidents ◽  
Per Capita ◽  
A Company

The contribution is aimed at developing a model of demand in tourist traffic with due regard to economic, geographical, demographical and social factors such as the GDP, Consumer Price Index, prices of trips, revenues per capita, exchange rate, etc. Important parts of this model are made up by the unpredictable negative situations that have already happened some time ago. The aim is to identify them and perform a follow-up analysis of the potential threats to a company involved in the tourist industry. Rated among those situations are terrorism, earthquakes and aviation accidents.

scholarly journals Impact of Financial Market Uncertainty on Market Returns: A Global Analysis

2020 ◽  
Vol 10 (3) ◽  
pp. 216
Author(s):  
Maryam Abid ◽  
Danish Ahmed Siddique
Keyword(s):  
Gross Domestic Product ◽  
Interest Rates ◽  
Financial Market ◽  
Price Index ◽  
Consumer Price Index ◽  
Negative Relationship ◽  
Market Uncertainty ◽  
Market Returns ◽  
The World ◽  
Per Capita

This paper examines the effect of financial market uncertainty on market returns of different countries of the world. The effect of other macroeconomic like Consumer Price Index (CPI), Real Interest Rates (R.IR), Market Capitalization (MCAP), and Gross Domestic Product per capita growth (GDPPCG).For analyzing this relationship, around 40 countries data including developed and developing countries, over the period of 10 years from 2009-2018. For analysis, Panel Least Square (PLS) was used. Fixed Effect Model (FEM) is used to check the overall strength of the model. Group correlation was also performed on overall variables to check the causal relationship between all the variables and individual regression tests are also conducted country wise to explore that how much this model is applicable, descriptive analysis for market return and uncertainty to check the moments of these variables. The overall results it is concluded that market returns are affected by the financial markets uncertainty in the long run and it is a significant variable in explaining market returns while overall test results proved a positive relationship with market returns but individual testing of this model on each country shows, more than half countries in the study have a negative relationship of financial market uncertainty with market returns. Along this, other macro-economic variables impact is also measured over market returns of the world which shows all variables Consumer Price Index, Real Interest Rates and Market Capitalization except Gross Domestic Product per capita growth have a negative relationship with the Equity Market returns.

Sign in / Sign up

Export Citation Format

Share Document