The Relationship between a Country’s Level of Tourism and Environmental Performance

2019 ◽  
Vol 59 (2) ◽  
pp. 220-230 ◽  
Author(s):  
David C. Bojanic ◽  
Rodney B. Warnick
Keyword(s):  
Panel Data ◽  
Greenhouse Gas ◽  
Human Activity ◽  
Environmental Performance ◽  
Ghg Emissions ◽  
Tourism Industry ◽  
Global Level ◽  
The Impact ◽  
The Relationship ◽  
Tourism Arrivals

The tourism industry has come under scrutiny as a human activity that contributes to the increase in greenhouse gas (GHG) emissions. While tourism certainly contributes to GHG emissions, it would be interesting to know if the level of tourism has an effect on environmental performance. The purpose of this paper is to examine the impact of the level of tourism on GHG emissions on a global level using WDI panel data from 1995 to 2016. The findings indicate that the level of tourism does have an impact on GHG emissions. There is evidence that countries that rely more heavily on tourism as a percentage of GDP, have more tourism arrivals, and have higher tourism density actually have lower amounts of GHG emissions and better environmental performance.

scholarly journals The effects of greenhouse gas emissions and governance factors on corporate socially responsibility disclosure

2015 ◽  
Vol 12 (2) ◽  
pp. 92-106 ◽  
Author(s):  
Nikolaos Sariannidis ◽  
George Konteos ◽  
Grigoris Giannarakis
Keyword(s):  
Greenhouse Gas ◽  
Linear Regression Analysis ◽  
Ghg Emissions ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Different Types ◽  
Dow Jones Sustainability Index ◽  
Csr Disclosure ◽  
The Impact ◽  
The Relationship

This paper investigates the impact of a plausible set of determinants, namely, greenhouse gas (GHG) emissions, Dow Jones Sustainability Index (DJSI), anti-bribery policy, the industry’s profile and the company’s size on the extent of CSR disclosure in the United States (US). The Environmental, Social and Governance (ESG) disclosure score is used as a proxy for the extent of CSR disclosure calculated by Bloomberg, incorporating different - in terms of importance - disclosure items. The relationship between the extent of CSR disclosure and its determinants was examined using multiple linear regression analysis incorporating 133 companies listed in S&P Composite 1500 Index for the year 2011. The results illustrate that the company’s size, GHG emissions, DJSI and anti-bribery policy are significantly positively associated with the extent of CSR disclosure. In addition, there are significant differences among the industries’ profile concerning the extent of CSR disclosure. The results cannot be generalized because the sample is based on US listed companies for the year 2011. This study presents initial empirical data investigating different types of disclosures and determinants which extend the scope of previous studies

Retrospective analysis of the resilience of Russian regions as socio-economic systems

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova
Keyword(s):  
Panel Data ◽  
Economic Systems ◽  
Financial Indicators ◽  
Russian Regions ◽  
Integral Index ◽  
Negative Effects ◽  
Economic Resilience ◽  
Correlation Dependence ◽  
The Impact ◽  
The Relationship

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.

scholarly journals The Relationship between Economic Growth and Pollution in Some New European Union Member States: A Dynamic Panel ARDL Approach

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2363
Author(s):  
Mihaela Simionescu ◽  
Carmen Beatrice Păuna ◽  
Mihaela-Daniela Vornicescu Niculescu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Ghg Emissions ◽  
Kuznets Curve ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Domestic Credit ◽  
The Impact ◽  
The Relationship

Considering the necessity of achieving economic development by keeping the quality of the environment, the aim of this paper is to study the impact of economic growth on GHG emissions in a sample of Central and Eastern European (CEE) countries (V4 countries, Bulgaria and Romania) in the period of 1996–2019. In the context of dynamic ARDL panel and environmental Kuznets curve (EKC), the relationship between GHG and GDP is N-shaped. A U-shaped relationship was obtained in the renewable Kuznets curve (RKC). Energy consumption, domestic credit to the private sector, and labor productivity contribute to pollution, while renewable energy consumption reduces the GHG emissions. However, more efforts are required for promoting renewable energy in the analyzed countries.

scholarly journals Impacts of Autonomous Vehicles on Greenhouse Gas Emissions—Positive or Negative?

2021 ◽  
Vol 18 (11) ◽  
pp. 5567
Author(s):  
Moneim Massar ◽  
Imran Reza ◽  
Syed Masiur Rahman ◽  
Sheikh Muhammad Habib Abdullah ◽  
Arshad Jamal ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Autonomous Vehicles ◽  
Significant Contribution ◽  
Ghg Emissions ◽  
Interval Estimate ◽  
Modal Shift ◽  
Vehicle Mile Travel ◽  
Emission Changes ◽  
Negative Impacts ◽  
The Impact

The potential effects of autonomous vehicles (AVs) on greenhouse gas (GHG) emissions are uncertain, although numerous studies have been conducted to evaluate the impact. This paper aims to synthesize and review all the literature regarding the topic in a systematic manner to eliminate the bias and provide an overall insight, while incorporating some statistical analysis to provide an interval estimate of these studies. This paper addressed the effect of the positive and negative impacts reported in the literature in two categories of AVs: partial automation and full automation. The positive impacts represented in AVs’ possibility to reduce GHG emission can be attributed to some factors, including eco-driving, eco traffic signal, platooning, and less hunting for parking. The increase in vehicle mile travel (VMT) due to (i) modal shift to AVs by captive passengers, including elderly and disabled people and (ii) easier travel compared to other modes will contribute to raising the GHG emissions. The result shows that eco-driving and platooning have the most significant contribution to reducing GHG emissions by 35%. On the other side, easier travel and faster travel significantly contribute to the increase of GHG emissions by 41.24%. Study findings reveal that the positive emission changes may not be realized at a lower AV penetration rate, where the maximum emission reduction might take place within 60–80% of AV penetration into the network.

scholarly journals The Empirical Test on the Impact of Climate Volatility on Tourism Demand: A Case of Japanese Tourists Visiting Korea

2018 ◽  
Vol 10 (10) ◽  
pp. 3569
Author(s):  
Yun Hwang ◽  
Hyung Kim ◽  
Cheon Yu
Keyword(s):  
Empirical Test ◽  
Tourism Industry ◽  
Model Specification ◽  
Time Lags ◽  
Tourism Demand ◽  
Demand Model ◽  
Volatility Index ◽  
Tourism Resource ◽  
The Impact ◽  
The Relationship

As climate is not only a valuable tourism resource but also a factor influencing travel experience, estimating climate volatility has implications for sustainable development of the tourism industry. This study develops the Climate Volatility Index (CVI) using a Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and estimates the relationship between CVI and Japanese tourism demand in Korea, using a tourism demand model based on monthly data from January 2000 to December 2013. Possible time lags and multicollinearity among variables are considered for the model specification. The results show that an increase in climate volatility leads to a decrease in tourism demand.

Impacts of Government Policies, Fuel Cell Cost, and Battery Cost on Greenhouse Gas Emission of Light-Duty Vehicles

2013 ◽  
Author(s):  
Swithin S. Razu ◽  
Shun Takai
Keyword(s):  
Public Policy ◽  
Fuel Cell ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Ghg Emissions ◽  
Government Policies ◽  
Alternative Fuel Vehicles ◽  
Enterprise Model ◽  
The Government ◽  
The Impact

The aim of this paper is to study the impact of public government policies, fuel cell cost, and battery cost on greenhouse gas (GHG) emissions in the US transportation sector. The model includes a government model and an enterprise model. To examine the effect on GHG emissions that fuel cell and battery cost has, the optimization model includes public policy, fuel cell and battery cost, and a market mix focusing on the GHG effects of four different types of vehicles, 1) gasoline-based 2) gasoline-electric hybrid or alternative-fuel vehicles (AFVs), 3) battery-electric (BEVs) and 4) fuel-cell vehicles (FCVs). The public policies taken into consideration are infrastructure investments for hydrogen fueling stations and subsidies for purchasing AFVs. For each selection of public policy, fuel cell cost and battery cost in the government model, the enterprise model finds the optimum vehicle design that maximizes profit and updates the market mix, from which the government model can estimate GHG emissions. This paper demonstrates the model using FCV design as an illustrative example.

Effect of wheat varieties and growth regulators on soil greenhouse gas emissions

2021 ◽  
Author(s):  
Elsbe von der Lancken ◽  
Victoria Nasser ◽  
Katharina Hey ◽  
Stefan Siebert ◽  
Ana Meijide
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Greenhouse Gas ◽  
Growth Regulators ◽  
Production Systems ◽  
Ghg Emissions ◽  
Closed Chamber ◽  
Wheat Varieties ◽  
The Impact ◽  
Modern Varieties

<p>The need to sustain global food demand while mitigating greenhouse gases (GHG) emissions is a challenge for agricultural production systems. Since the reduction of GHGs has never been a breeding target, it is still unclear to which extend different crop varieties will affect GHG emissions. The objective of this study was to evaluate the impact of N-fertilization and of the use of growth regulators applied to three historical and three modern varieties of winter wheat on the emissions of the three most important anthropogenic GHGs, i.e. carbon dioxide (CO<sub>2</sub>), methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O). Furthermore, we aimed at identifying which combination of cultivars and management practises could mitigate GHG emissions in agricultural systems without compromising the yield. GHG measurements were performed using the closed chamber method in a field experiment located in Göttingen (Germany) evaluating three historical and three modern winter wheat varieties, with or without growth regulators under two fertilization levels (120 and 240 kg nitrogen ha<sup>-1</sup>). GHG measurements were carried out for 2 weeks following the third nitrogen fertilizer application (where one third of the total nitrogen was applied), together with studies on the evolution of mineral nitrogen and dissolved organic carbon in the soil. Modern varieties showed significantly higher CO<sub>2</sub> emissions (i.e. soil and plant respiration; +23 %) than historical varieties. The soils were found to be a sink for CH<sub>4,</sub> but CH<sub>4</sub> fluxes were not affected by the different treatments. N<sub>2</sub>O emissions were not significantly influenced by the variety age or by the growth regulators, and emissions increased with increasing fertilization level. The global warming potential (GWP) for the modern varieties was 7284.0 ± 266.9 kg CO<sub>2-eq</sub> ha<sup>-1</sup>. Even though the GWP was lower for the historic varieties (5939.5 ± 238.2 kg CO<sub>2</sub>-<sub>eq</sub> ha<sup>-1</sup>), their greenhouse gas intensity (GHGI), which relates GHG and crop yield, was larger (1.5 ± 0.3 g CO<sub>2</sub>-<sub>eq</sub> g<sup>-1</sup> grain), compared to the GHGI of modern varieties (0.9 ± 0.0 g CO<sub>2</sub>-<sub>eq</sub> g<sup>-1</sup> grain), due to the much lower grain yield in the historic varieties. Our results suggest that in order to mitigate GHG emissions without compromising the grain yield, the best management practise is to use modern high yielding varieties with growth regulators and a fertilization scheme according to the demand of the crop.</p>

The impact of media on entrepreneurship participation: a cross-country panel data analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Arshad ◽  
Sharjeel Saleem ◽  
Rabeeya Raoof ◽  
Naheed Sultana
Keyword(s):  
Panel Data ◽  
New Product Development ◽  
Indirect Effect ◽  
Cognitive Theory ◽  
Early Stage ◽  
Entrepreneurial Intention ◽  
Content Type ◽  
Informal Investment ◽  
The Impact ◽  
The Relationship

Purpose Unlike the previous studies that examined the direct relationship between media attention on entrepreneurship (MAE) and entrepreneurship participation, this paper aims to examine the mediated link through entrepreneurial intention. Design/methodology/approach The cognitive theory of media provides the foundation for predictions that primary outcome of MAE is the entrepreneurial intention which in turn affects the different types of entrepreneurship participation (early-stage startup activities, new product development [NPD] activities and informal investment activities). The test of the hypothesized model relies on panel data for 2010–2015 on 40 developing and developed countries taken from the Global Entrepreneurship Monitor report of 2015. Findings MAE has an indirect effect on two types of entrepreneurship participation (early-stage startup activities and informal investment activities) via entrepreneurial intention, whereas there is no direct or indirect effect of MAE on NPD activities. The findings also suggest when the entrepreneurial intention is added as a mediator in the model; the direct effect of MAE on early-stage entrepreneurial activities becomes insignificant. Originality/value To the best of the authors’ knowledge, this is the first study in its nature which established the relationship between MAE and entrepreneurial intention. In addition, this study also explained the mediation mechanism between the relationship of MAE and entrepreneurship participation by using the panel data.

Greenhouse Gas Emissions from the Petroleum Industry

2017 ◽  
pp. 213-241
Author(s):  
Lidia Hrnčević
Keyword(s):  
Greenhouse Gas ◽  
Global Climate ◽  
Petroleum Industry ◽  
Ghg Emissions ◽  
High Energy ◽  
Global Market ◽  
Special Focus ◽  
Global Industry ◽  
High Emission ◽  
The Impact

Greenhouse Gas (GHG) emissions occur, more or less, in all aspects of the petroleum industry's activities. Besides the direct emissions of some GHG, the petroleum industry is also characterised with high energy intensity usually followed by emissions of adverse gases, especially at old facilities, and also the products with high emission potential. Being the global industry and one of the major players on global market, the petroleum industry is also subjected to global regulatory provisions regarding GHG emissions. In this chapter, the impact of global climate change on the petroleum industry is discussed. The emissions from the petroleum industry are analysed with a special focus on greenhouse gases that occur in petroleum industry activities and types and sources of emissions from the petroleum industry activities. In addition, recommendations for estimation, monitoring, and reductions of GHG emissions from the petroleum industry are given.

scholarly journals Implications of potential future grand solar minimum for ozone layer and climate

2017 ◽  
Author(s):  
Pavle Arsenovic ◽  
Eugene Rozanov ◽  
Julien Anet ◽  
Andrea Stenke ◽  
Thomas Peter
Keyword(s):  
Solar Activity ◽  
Greenhouse Gas ◽  
21St Century ◽  
Atmospheric Chemistry ◽  
Solar Minimum ◽  
Climate Model ◽  
Ghg Emissions ◽  
Ozone Production ◽  
22Nd Century ◽  
The Impact

Abstract. Continued anthropogenic greenhouse gas (GHG) emissions are expected to cause further global warming throughout the 21st century. Understanding potential interferences with natural forcings is thus of great interest. Here we investigate the impact of a recently proposed 21st century grand solar minimum on atmospheric chemistry and climate using the SOCOL3-MPIOM chemistry-climate model with interactive ocean. We examine several model simulations for the period 2000–2199, following the greenhouse gas scenario RCP4.5, but with different solar forcings: the reference simulation is forced by perpetual repetition of solar cycle 23 until the year 2199, whereas the grand solar minimum simulations assume strong declines in solar activity of 3.5 and 6.5 W m−2 with different durations. Decreased solar activity is found to yield up to a doubling of the GHG induced stratospheric and mesospheric cooling. Under the grand solar minimum scenario tropospheric temperatures are also projected to decrease. On the global scale the reduced solar forcing compensates at most 15 % of the expected greenhouse warming at the end of 21st and around 25 % at the end of 22nd century. The regional effects are predicted to be stronger, in particular in northern high latitude winter. In the stratosphere, the reduced incoming ultraviolet radiation leads to less ozone production by up to 8 %, which overcompensates the anticipated ozone increase due to reduced stratospheric temperatures and an acceleration of the Brewer-Dobson circulation. This, in turn, leads to a delay in total ozone column recovery from anthropogenic chlorine-induced depletion, with a global ozone recovery to the pre-ozone hole values happening only upon completion of the grand solar minimum in the 22nd century or later.

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