Air quality effect on the hotel industry

2020 ◽  
pp. 135481662097074
Author(s):  
Liang-Ju Wang ◽  
Ming-Hsiang Chen ◽  
Lu Lu
Keyword(s):  
Air Quality ◽  
Fine Particulate Matter ◽  
Generalized Method Of Moments ◽  
Hotel Industry ◽  
Business Owners ◽  
Research Literature ◽  
Policy Implications ◽  
Regression Test ◽  
Dynamic Panel Regression ◽  
Using Data

This article makes an original contribution to the hospitality research literature. It proposes a curvilinear impact of air quality (AQ) on hotel sales (HS) and then empirically tests this nonlinear effect using data from 26 major tourist cities in China from 2002 to 2016. The results of dynamic panel regression test based on estimations of the system generalized method of moments reveal an inverse U-shaped impact of AQ (measured by concentrations of the fine particulate matter, i.e. PM2.5) on HS and thus validate the proposal. Empirical findings offer valuable policy implications for hotel business owners and tourism authorities and policymakers.

Nonlinear Impact of Air Quality on Tourist Arrivals: New Proposal and Evidence

2020 ◽  
Vol 60 (2) ◽  
pp. 434-445 ◽  
Author(s):  
Liang-Ju Wang ◽  
Ming-Hsiang Chen
Keyword(s):  
Air Quality ◽  
Negative Impact ◽  
Fine Particulate Matter ◽  
Generalized Method Of Moments ◽  
Test Results ◽  
Dynamic Panel ◽  
Fine Particulate ◽  
Dynamic Panel Regression ◽  
Regression Tests ◽  
Domestic Tourist

This study makes a novel contribution to the tourism literature by proposing an inverted U–shaped impact of air quality on tourist arrivals and examining this relationship using 58 major tourist cities in China from 2004 to 2015. The estimation of linear and nonlinear dynamic panel regression tests is based on the system generalized method of moments. The linear test results show that air quality measured by the concentration of fine particulate matter (PM2.5) has a significantly negative impact on both inbound and domestic tourist arrivals. The nonlinear test results validate an inverted U–shaped link between air quality and both inbound and domestic tourist arrivals.

Do hotel industry operations deteriorate air quality?

2021 ◽  
pp. 135481662110224
Author(s):  
Liang-Ju Wang ◽  
Ming-Hsiang Chen ◽  
Zhandong Yang ◽  
Ching-Hui (Joan) Su
Keyword(s):  
Air Quality ◽  
Hotel Industry ◽  
Second Step ◽  
Test Results ◽  
Sales Revenue ◽  
Key Indicator ◽  
Regression Test ◽  
Rolling Regression ◽  
The Impact ◽  
Regression Tests

This study proposes and tests two hypotheses concerning the effects of hotel industry operations on air quality based on data of 26 major tourist cities in China from 2002 to 2017. The empirical analyses take two steps. In the first step, panel regression test results reveal that hotel industry operations (measured by hotel sales revenue) significantly raise the value of particulate matter (PM)2.5 (the key indicator of air quality), supporting the first hypothesis that hotel industry operations deteriorate air quality and providing empirical evidence of the adverse impact of the hotel industry on air quality. In the second step, subsample analyses support the second hypothesis that the impact of hotel sales revenue on air quality diminishes over time. The results from the rolling regression tests validate the existence of a diminishing effect of hotel industry operations on air quality.

scholarly journals Pollution Characteristics and Policy Actions on Fine Particulate Matter in a Growing Asian Economy: The Case of Bangkok Metropolitan Region

Atmosphere ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 227 ◽  
Author(s):  
Daiju Narita ◽  
Nguyen Oanh ◽  
Keiichi Sato ◽  
Mingqun Huo ◽  
Didin Permadi ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Quality Management ◽  
Fine Particulate Matter ◽  
Policy Implications ◽  
Receptor Modeling ◽  
Metropolitan Region ◽  
Air Quality Management ◽  
Fine Particulate

Air pollution is becoming a prominent social problem in fast-growing Asian economies. Taking the Bangkok Metropolitan Region (BMR) as a case, we conducted an observational study of fine particulate matter (PM2.5) and acid deposition, consisting of their continuous monitoring at two sites. To find the major contributing sources of PM2.5, the PM composition data were analyzed by a receptor modeling approach while the pollution load from BMR sources to the air was characterized by an emission inventory. Our data show generally alarming levels of PM2.5 in the region, of which transportation and biomass burning are two major sources. In this paper, we present a general overview of our observational findings, contrast the scientific information with the policy context of air quality management in BMR, and discuss policy implications. In BMR, where a set of conventional regulatory instruments on air quality management are already in place, a solution for the air pollution problem should lie in a combination of air quality regulation and other policies, such as energy and agricultural policies.

The impact of international tourism on hotel sales performance: New proposals and evidence

2021 ◽  
pp. 135481662199443
Author(s):  
Yu-Xia Lin ◽  
Ming-Hsiang Chen ◽  
Lu Lu
Keyword(s):  
Mainland China ◽  
Policy Implications ◽  
International Tourism ◽  
State Dependent ◽  
Test Models ◽  
Economic State ◽  
Dynamic Panel Regression ◽  
Using Data ◽  
Economies Of Agglomeration ◽  
The Impact

Using data from 31 provinces/municipalities in China from 2003 to 2018, this article examines the impact of international tourism on hotel sales revenue (HSR). Specifically, this study lays a theoretical foundation for investigations of the nonlinear and state-dependent effects of international tourist arrivals (ITAs) on HSR. Results of both traditional and dynamic panel regression test models reveal the following interesting results. First, the positive relationship between ITA and hotel performance is not unique to Taiwan but is also found in Mainland China. Second, based on the theory of economies of agglomeration, the impact of ITA on HSR is found to be inverse U-shaped. Third, the effects of ITA on HSR are economic state-dependent, relying to a great extent on economic conditions. Furthermore, ITA has a stronger impact on HSR during periods of economic expansion. Important policy implications are provided based on the empirical results.

Peranan Ketua Pengurus dan Manajer Dalam Penyusunan dan Penerapan Laporan Keuangan Berbasis SAK ETAP Pada Koperasi di Kota Palembang

2019 ◽  
Vol 14 (2) ◽  
pp. 119
Author(s):  
Riza Syahputera ◽  
Martha Rianty
Keyword(s):  
Data Analysis ◽  
Sampling Technique ◽  
Financial Statements ◽  
Significant Positive Effect ◽  
Analysis Technique ◽  
Regression Test ◽  
Using Data ◽  
The City ◽  
Positive Effect

AbstractThis study aims to determine the effect of the role of the Chairperson and Cooperative Manager in the preparation and application of Financial Statements based on SAK ETAP in cooperatives in the city of Palembang. This research is a quantitative study using data obtained from questionnaires and measured using a Likert scale. The sampling technique used is purposive sampling. The sample used in this study was the Chairperson of the cooperative and the manager of the cooperative in the city of Palembang. The cooperatives studied were 203 cooperatives. The data analysis technique used is multiple linear regression test. The results showed that the role of cooperative leaders and managers had a significant positive effect on the preparation and application of SAK ETAP-based financial statements.Keywords : chairman, manager, SAK ETAP, cooperative

scholarly journals Exploring the Use of PlanetScope Data for Particulate Matter Air Quality Research

2021 ◽  
Vol 13 (15) ◽  
pp. 2981
Author(s):  
Jeanné le Roux ◽  
Sundar Christopher ◽  
Manil Maskey
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Land Cover ◽  
Spectral Response ◽  
Fine Particulate Matter ◽  
Daily Basis ◽  
Land Cover Types ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
The Difference ◽  
Geolocation Accuracy

Planet, a commercial company, has achieved a key milestone by launching a large fleet of small satellites (smallsats) that provide high spatial resolution imagery of the entire Earth’s surface on a daily basis with its PlanetScope sensors. Given the potential utility of these data, this study explores the use for fine particulate matter (PM2.5) air quality applications. However, before these data can be utilized for air quality applications, key features of the data, including geolocation accuracy, calibration quality, and consistency in spectral signatures, need to be addressed. In this study, selected Dove-Classic PlanetScope data is screened for geolocation consistency. The spectral response of the Dove-Classic PlanetScope data is then compared to Moderate Resolution Imaging Spectroradiometer (MODIS) data over different land cover types, and under varying PM2.5 and mid visible aerosol optical depth (AOD) conditions. The data selected for this study was found to fall within Planet’s reported geolocation accuracy of 10 m (between 3–4 pixels). In a comparison of top of atmosphere (TOA) reflectance over a sample of different land cover types, the difference in reflectance between PlanetScope and MODIS ranged from near-zero (0.0014) to 0.117, with a mean difference in reflectance of 0.046 ± 0.031 across all bands. The reflectance values from PlanetScope were higher than MODIS 78% of the time, although no significant relationship was found between surface PM2.5 or AOD and TOA reflectance for the cases that were studied. The results indicate that commercial satellite data have the potential to address Earth-environmental issues.

scholarly journals Description and Evaluation of the Fine Particulate Matter Forecasts in the NCAR Regional Air Quality Forecasting System

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 302
Author(s):  
Rajesh Kumar ◽  
Piyush Bhardwaj ◽  
Gabriele Pfister ◽  
Carl Drews ◽  
Shawn Honomichl ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Information Dissemination ◽  
Fine Particulate Matter ◽  
Model Errors ◽  
Air Quality Forecast ◽  
Fine Particulate ◽  
Regional Air Quality ◽  
Forecasting System ◽  
Air Quality Forecasting

This paper describes a quasi-operational regional air quality forecasting system for the contiguous United States (CONUS) developed at the National Center for Atmospheric Research (NCAR) to support air quality decision-making, field campaign planning, early identification of model errors and biases, and support the atmospheric science community in their research. This system aims to complement the operational air quality forecasts produced by the National Oceanic and Atmospheric Administration (NOAA), not to replace them. A publicly available information dissemination system has been established that displays various air quality products, including a near-real-time evaluation of the model forecasts. Here, we report the performance of our air quality forecasting system in simulating meteorology and fine particulate matter (PM2.5) for the first year after our system started, i.e., 1 June 2019 to 31 May 2020. Our system shows excellent skill in capturing hourly to daily variations in temperature, surface pressure, relative humidity, water vapor mixing ratios, and wind direction but shows relatively larger errors in wind speed. The model also captures the seasonal cycle of surface PM2.5 very well in different regions and for different types of sites (urban, suburban, and rural) in the CONUS with a mean bias smaller than 1 µg m−3. The skill of the air quality forecasts remains fairly stable between the first and second days of the forecasts. Our air quality forecast products are publicly available at a NCAR webpage. We invite the community to use our forecasting products for their research, as input for urban scale (<4 km), air quality forecasts, or the co-development of customized products, just to name a few applications.

Factors affecting desired family size in Bangladesh

1994 ◽  
Vol 26 (3) ◽  
pp. 369-375 ◽  
Author(s):  
M. Kabir ◽  
Ruhul Amin ◽  
Ashraf Uddin Ahmed ◽  
Jamir Chowdhury
Keyword(s):  
Regression Analysis ◽  
Family Size ◽  
Contraceptive Use ◽  
Policy Implications ◽  
Work Status ◽  
Factors Affecting ◽  
Rural Bangladesh ◽  
Contraceptive Prevalence ◽  
Using Data ◽  
Desired Family Size

SummaryFactors affecting desired family size in rural Bangladesh are examined using data from contraceptive prevalence surveys conducted between 1983 and 1991. The analysis suggests that mothers having two sons and one daughter are more inclined to perceive their family as complete than those having three sons and no daughter. Logistic regression analysis indicates that important determinants of desire for more children are age of woman, current contraceptive use status, work status, and family planning worker's visit. The policy implications of these findings are discussed.

The impact of globalization on the performance of Banks in South Africa

2016 ◽  
Vol 26 (4) ◽  
pp. 517-542 ◽  
Author(s):  
Fadzlan Sufian ◽  
Fakarudin Kamarudin
Keyword(s):  
South Africa ◽  
Host Country ◽  
Banking Sector ◽  
Generalized Method Of Moments ◽  
Estimation Method ◽  
Bank Performance ◽  
Content Type ◽  
Multinational Banks ◽  
Dynamic Panel Regression ◽  
The Impact

Purpose This paper aims to provide empirical evidence for the impact globalization has had on the performance of the banking sector in South Africa. In addition, this study also investigates bank-specific characteristics and macroeconomic conditions that may influence the performance of the banking sector. Design/methodology/approach The authors use data collected for all commercial banks in South Africa between 1998 and 2012. The ratio of return on assets was used to measure bank performance. They then used the dynamic panel regression with the generalized method of moments as an estimation method to investigate the potential determinants and the impact of globalization on bank performance. Findings Positive impact of greater economic integration and trade movements of the host country, while greater social globalization in the host country tends to exert negative influence on bank profitability. The results show that banks originating from the relatively more economically globalized countries tend to perform better, while banks headquartered in countries with greater social and political globalizations tend to exhibit lower profitability levels. Originality/value An empirical model was developed that allows for the performance of multinational banks to depend on internal and external factors. Moreover, unlike the previous studies on bank performance, in this empirical analysis, we control for the different dimensions of globalizations while taking into account the origins of the multinational banks. The procedure allows us to test for the home field, the liability of foreignness and global advantage hypotheses to deduce further insights into the prospects of banking across borders.

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