Analysis on the Energy Consumption (EC) and Carbon Emission (CE) of Tourism Transport of Jiangxi Province Using the PLS Method

2014 ◽  
Vol 535 ◽  
pp. 533-536
Author(s):  
Jun Song Jia ◽  
Cai Hua Kuang ◽  
Lin Lin Hu
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
Local Development ◽  
Tourism Industry ◽  
Gdp Per Capita ◽  
Carbon Intensity ◽  
Annual Growth Rate ◽  
Per Capita ◽  
The Impact ◽  
Pls Method

Taking Jiangxi of China as an example, we, firstly, accounted the energy consumption (EC) and carbon emission (CO2, CE) of this provinces tourism transport in recently 13 years. Then, we used the Partial Least Squares (PLS) method to analysis the drivers of the CE. Results show that: 1Respectively, the EC and CE of tourism transport in Jiangxi in 1999 were 4.2 PJ and 0.46 Mt. They grew up to 31.9 PJ and 3.59 Mt in 2011. The increasing amounts were 27.7 PJ and 3.13 Mt, with an average annual growth rate of 18.4% and 18.6%. These meant that with the improvement of living standards, more and more people engaged in the activities of tourism industry. 2The consumption demand of peoples tourism had been greatly released in 2004 and 2011, which could arise from the influences of the "SARS" in 2003 and the global financial crisis in 2008, respectively. 3The importance of the latent drivers can be sorted as the following order: A2 (square of GDP per capita), A (GDP per capita), T (carbon intensity), T1 (EC intensity) and P (population). The impact on the CE from T2 (the factor denoted by T/T1) is negligible. The impact of U (urbanization rate) is little. The A2, A, T, T1 and P have an increase of 1%. The corresponding CE will have an increase of 0.275%, 0.259%, 0.148%, 0.145% and 0.131%, respectively. In the end, some suggestions are proposed for local development: to speed up the pattern's upgrade of the development, to promote the implementation of energy saving, to improve the technical level and energy efficiency so as to reduce the regional energy intensity, to go on controlling population growth and to boost the new-type urbanization, to some extent.

Vincoli europei e internazionali. Il rilancio della politica climatica dell'Unione Europea per il periodo post Kyoto

2009 ◽  
pp. 149-161
Author(s):  
Andrea Molocchi
Keyword(s):  
Energy Saving ◽  
Emission Reduction ◽  
Burden Sharing ◽  
Gdp Per Capita ◽  
Carbon Intensity ◽  
Renewable Sources ◽  
Legislative Proposals ◽  
Per Capita ◽  
The Impact ◽  
The Eu

- The relation describes the European strategy on energy and climate under the UNFCCC process for the post Kyoto period (after 2012), by which on march 2007 the EU Council adopted general targets at 2020 for a 20%/30% emission reduction, 20% renewables and 20% energy saving. Furthermore it highlights the main features of the legislative proposals published by the European Commission (EC) to implement the strategy on the 23rd January 2008, soon after the Bali COP13 (so called "energy and climate package"). The package contains proposals to implement the 20% emission reduction through EU level defined caps in the ETS sectors and by national targets differentiation in the non-ETS sectors (respectively under the "ETS revision directive" and "Effort Sharing Decision") and a further directive proposal to implement the 20% target for renewables through national target differentiation as well. The burden sharing criteria applied by EC in the energy package proposals are based on GDP per capita and they do not consider any environmental efficiency criteria, such as carbon intensity or potential for renewable sources based on land availability. As the Impact Assessment produced by the Commission itself shows, the way the "solidariety criteria" has been applied produced estimated costs on GDP highly differentiated between Member States and non-coherent with the GDP per capita distribution. Nevertheless, these burden sharings have not been timely corrected by the EC to bring optimisation with GDP per capita rankings in the UE. In addition, the EC package does not contain legislative proposals aimed to implement the 20% energy saving target. Recent disclosure of information by EC consultants (NTUA - Primes Model) shows that the implicit energy saving potential of the proposed package is limited to 7%, thus far away from the announced 20%. Due to these lackings, the EC package and related burden sharings may not be considered coherent to the EU Council spring 2007 mandate. European Parliament or Council emendments aimed at a higher efficiency and fairness for the whole package are deemed necessary by the author, even if politically difficult to be introduced.Key words: Energy & climate package, GHGs, energy efficiency, renewable sources, European policy.

scholarly journals The impact of energy consumption on Carbon Intensity of Human Well-Being (CIWB)

2021 ◽  
Vol 11 (1) ◽  
pp. 19-28
Author(s):  
Nguyen Thuan ◽  
Dang Bac Hai
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Well Being ◽  
Carbon Intensity ◽  
Control Variables ◽  
Human Welfare ◽  
Middle Income ◽  
Middle Income Countries ◽  
Per Capita ◽  
The Impact

A key concern when constructing sustainable development policy is reducing the negative impact on environmental systems and maximizing human welfare. In this study, we assess how energy consumption effected on Carbon intensity of human well-being (CIWB). Using two-way fixed effects in panel regression, this relationship has been investigated during 2000-2018 for 9 lower middle-income countries including Algeria, Bangladesh, Egypt, India, Morocco, Pakistan, Philippines, Uzbekistan and Vietnam, while adding GDP and FDI per capita as control variables. The study reveals that the use of energy for economic development is ineffective and inconsistent with the overview of sustainable development due to the result of increasing CIWB. However, the sign of negative coefficients of GDP and FDI per capita in control variables have given the striking findings that these factors will be helpful for lower middle - income countries to pursue sustainable development by reducing CIWB.

scholarly journals The Impact of CO2 Emissions on the GDP per Capita, Employment Rate and Energy Consumption of China, Korea and Japan

2021 ◽  
Vol 6 (11) ◽  
pp. 315-333
Author(s):  
Allieah A. Mendoza ◽  
Kirby Duane Garret T. Reyes ◽  
Pauline Antonette D. Soriano ◽  
Ronaldo Cabauatan
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Gdp Per Capita ◽  
Series Data ◽  
Kuznets Curve ◽  
Total Employment ◽  
Cointegration Tests ◽  
Per Capita ◽  
The Impact

This paper aims to investigate the relationship between CO2 Emissions and GDP per capita of three East Asian countries (China, Japan, and South Korea). The Environmental Kuznets Curve hypothesis and its possible implications to the implementation of the Kyoto Protocol Agreement will be tested. The independent variables Employment and Energy consumption will be used as control variables. Multiple regression analysis and cointegration tests will be used on time series data of Japan, Korea, and China that is obtained from the World Bank database. GDP per capita is measured in constant 2010 US$, CO2 emission in kt, Employment in the ratio of total employment to total population aged 15 and above, and Energy Consumption in annual kWh per capita.

scholarly journals TERMS OF TRADE AND INDUSTRIALIZATION: REALITIES IN UKRAINE

2020 ◽  
pp. 21-34
Author(s):  
Olena Bazhenova ◽  
Ihor Chornodid
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Industrial Development ◽  
Value Added ◽  
Terms Of Trade ◽  
Gdp Per Capita ◽  
Annual Growth Rate ◽  
Vector Autoregressive ◽  
Per Capita ◽  
The Impact

he paper explores the impact of terms of trade on the industrialization and economic growth in Ukraine due to significant vulnerability of national economy to foreign economic shocks, its openness and mainly commodity structure of exports. In this research we have chosen manufacturing value added as percent in GDP to identify periods of industrialization, as its growth corresponds to periods of accelerated industrial development and vice versa. Also we considered GDP per capita as indicator of national economy’s performance. The changes in terms of trade were investigated based on the analysis of terms of trade adjustments, which are determined by the ability to import goods and services minus exports at constant prices. As an empirical research tool vector autoregressive models have been chosen to explore the relationship between endogenous and exogenous variables in dynamics. Thus, the endogenous variables in the model are the annual growth rate of GDP per capita, manufacturing value added and terms of trade adjustments in 1991-2018. Therefore, the first-order vector autoregression model was constructed to examine this relationship. According to the results of research, acceleration of terms of trade adjustments growth rate (deterioration of terms of trade) in Ukraine leads to fluctuations in the manufacturing value added growth with an increase of almost 3% in the second period and further declining. It indicates an increase in industrial production in response to the deterioration of terms of trade in the short run and possible intensification of innovative economic growth triggers. Fluctuations in manufacturing value added account for from almost 7% to 14% in fluctuations of GDP per capita growth. In turn, fluctuations in terms of trade adjustments account for only from 3% to almost 5%. At the same time, fluctuations in manufacturing value added from 8% to 13% are explained by fluctuations in terms of trade adjustments.

scholarly journals The Impacts of Financial Development on Green and Non-Green Energy Consumption: Empirical Evidence From OPEC Countries

2020 ◽  
Author(s):  
Faris Alshubiri ◽  
Mohamed Elheddad ◽  
Syed Jamil ◽  
Nassima Djellouli
Keyword(s):  
Energy Consumption ◽  
Financial Development ◽  
Environmental Quality ◽  
Green Energy ◽  
Gdp Per Capita ◽  
Green Growth ◽  
The World ◽  
Domestic Credit ◽  
Per Capita ◽  
The Impact

Abstract This paper aims to examine the impact of financial development on green and non-green energy consumption in the Organization of the Petroleum Exporting Countries (OPEC) over the period of 1990–2015.The data was collected from the Green Growth Knowledge Platform Database and the World Development Indicators (WDI) of the World Bank for 14 OPEC countries over the period of 1990–2015.We used two different proxies for financial development: (1) domestic financial development, measured by domestic credit in the private sector as a percentage of gross domestic product(GDP), and (2)foreign financial development, measured by the foreign direct investment (FDI) stock as a share of GDP. The main model developed three hypotheses; the first two were sub-hypotheses that characterized green energy through proxies: access to improved sanitation and access to electricity. The third hypothesis was anon-green (brown) energy proxy using CO2 emissions per capita. All three hypotheses used five control variables: by GDP per capita, urbanisation/total population ratio, oil rent/GDP ratio, investment/GDP per capita ratio and trade openness. In order to evaluate these hypotheses, we used the instrumental-variable (IV) approach with a fixed effect option to control for both endogeneity and heterogeneity, and we used the lags of the independent variables as instruments for financial development, as lagged variables are arguably exogenous. The impacts of financial development on environmental quality varied between foreign direct investments (foreign financial development) and the domestic credit ratio (domestic financial development). Our main results suggest that FDI degrades environmental quality in OPEC economies, and FDI represents a source of pollution by increasing CO2 emissions per capita (non-renewable) by about 0.0224% and decreasing non-renewable energy consumption variables. In other words, FDI’s non-renewable and renewable relationship supports the non-green growth hypothesis.JEL Classification B22. B26. D53. E21. F63. K32

scholarly journals The Adverse Impact of Air Pollution on China’s Economic Growth

2021 ◽  
Vol 13 (16) ◽  
pp. 9056
Author(s):  
Daxin Dong ◽  
Boyang Xu ◽  
Ning Shen ◽  
Qian He
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Growth Rate ◽  
Instrumental Variables ◽  
Gdp Per Capita ◽  
Annual Growth Rate ◽  
Instrumental Variables Estimation ◽  
Study Results ◽  
Per Capita ◽  
The Impact

This study empirically evaluates the impact of air pollution on China’s economic growth, based on a province-level sample for the period 2002–2017. Air pollution is measured by the concentration of fine particulate matter (PM2.5), and economic growth is measured by the annual growth rate of gross domestic product (GDP) per capita. A panel data fixed-effects regression model is built, and the instrumental variables estimation method is utilized for quantitative analyses. The study reports a significant negative impact of air pollution on the macroeconomic growth of China. According to our instrumental variables estimation, holding other factors constant, if the concentration of PM2.5 increases by 1%, then the GDP per capita growth rate will decline by 0.05818 percentage points. In addition, it is found that the adverse effect of atmospheric pollution is heterogeneous across different regions. The effect is stronger in the eastern region and in provinces with smaller state-owned enterprise shares, fewer governmental expenditures for public health services, and fewer medical resources. The study results reveal that air pollution poses a substantial threat to the sustainable economic growth of China. Taking actions to abate air pollution will generate great economic benefits, especially for those regions which are heavily damaged by pollution.

scholarly journals On the Impact of GDP per Capita, Carbon Intensity and Innovation for Renewable Energy Consumption: Worldwide Evidence

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6254
Author(s):  
Cristiana Tudor ◽  
Robert Sova
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Research And Development ◽  
High Income ◽  
Gdp Per Capita ◽  
Carbon Intensity ◽  
Renewable Energy Consumption ◽  
Per Capita ◽  
World Level ◽  
Very High

The mitigation of climate change through ambitious greenhouse gases emission reduction targets constitutes a current priority at world level, reflected in international, regional and national agendas. Within the common framework for global climate action, an increased reliance on renewable energy sources, which would assist countries to reduce energy imports and cut fossil fuel use, emerged as the solution towards achieving worldwide energy security and sustainability through carbon-neutrality. As such, this study is aimed to investigate the heterogeneous effects of relevant economic and environmental driving factors for renewable energy consumption (REC) that emerge from current policy objectives (GDP per capita, carbon intensity, and research and development) through an empirical analysis of a wide panel of 94 countries, and five income-based subpanels, over the 1995–2019 period, by using heterogeneous panel data fixed-effects estimation techniques (static and dynamic) with robust Driscoll–Kraay standard errors. The results unambiguously indicate that CO2 intensity has a significant mitigating effect on REC at world level, and this relationship is stronger for low-income and very high-income countries. Moreover, GDP per capita promotes REC when it surpasses the 5000 USD threshold, whereas research and development is a major contributor to increase in renewable energy consumption in very high-income countries. As such, for the policy makers, it is necessary to consider the heterogeneity of the drivers of REC in order to issue effective and congruent policies. The effective employment of post-COVID-19 recovery funds constitutes a timely, ideal occasion.

Time Series Analysis of Energy Consumption and Carbon Emission for Binhai New Area of Tianjin

2012 ◽  
Vol 174-177 ◽  
pp. 3571-3575 ◽  
Author(s):  
Chun Li Chu ◽  
Yi Fang Yang ◽  
Xue Bai ◽  
Qian Peng ◽  
Mei Ting Ju
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Emission Intensity ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Carbon Intensity ◽  
Per Capita ◽  
Tianjin City ◽  
Co2 Emission Intensity

With the rapid development of industrialization and urbanization, cities become the centers to address the problem of climate change for China. Binhai New Area of Tianjin city plays an important role to boost the economy of North China according to the long-term development planning of China. It is essential for Binhai New Area of Tianjin to promote energy efficiency and reduce the CO2 emission intensity. The study explores the characteristics of the energy consumption, energy intensity, carbon emission and carbon intensity of Binhai New Area through time series analysis. We conclude that the consumption of energy has increased with an annual growth rate of 17.9% from 2000 to 2009. The energy consumption per capita increases from 4.32 tons of SCE per capita in 2000 to 12.37 tons of SCE per capita in 2009, which is much higher than that of Tianjin city and also China as a whole. The energy intensity has declined from 0.79 tons of SCE/104Y in 2000 to 0.38 tons of SCE/104Y in 2009. But it is lower than that of Tianjin. Total carbon emission has increased by 225% from 2000 to 2009. The carbon emission per capita increases from 10.8 tons per capita in 2000 to 30.8 tons per capita in 2009. The carbon intensity has declined from 1.97 tons /104Y in2000 to 0.96 tons/104Y in 2009. Thus, we suggest that the composition of energy consumption should be optimized and more clean energy should be used to reduce the total CO2 emission and CO2 emission intensity.

scholarly journals The Impact of Oil Price Shocks on National Income: Evidence from Azerbaijan

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1695
Author(s):  
Shahriyar Mukhtarov ◽  
Sugra Humbatova ◽  
Mubariz Mammadli ◽  
Natig Gadim‒Oglu Hajiyev
Keyword(s):  
Exchange Rate ◽  
Oil Price ◽  
Gdp Per Capita ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Total Trade ◽  
Trade Turnover ◽  
Per Capita ◽  
The Exchange Rate ◽  
The Impact

This study investigates the influence of oil price shocks on GDP per capita, exchange rate, and total trade turnover in Azerbaijan using the Structural Vector Autoregressive (SVAR) method to data collected from 1992 to 2019. The estimation results of the SVAR method conclude that oil price shocks (rise in oil prices) affect GDP per capita and total trade turnover positively, whereas its influence on the exchange rate is negative in the case of Azerbaijan. According to results of this study, Azerbaijan and similar oil-exporting countries should reduce the dependence of GDP per capita, the exchange rate, and total trade turnover from oil resources and its prices in the global market. Therefore, these countries should attempt to the diversification of GDP per capita, the exchange rate, and other sources of total trade turnover.

scholarly journals Sustainable Tourism, Economic Growth and Employment—The Case of the Wine Routes of Spain

2021 ◽  
Vol 13 (13) ◽  
pp. 7164
Author(s):  
Guillermo Vázquez Vicente ◽  
Victor Martín Barroso ◽  
Francisco José Blanco Jiménez
Keyword(s):  
Economic Growth ◽  
Economic Impact ◽  
Rural Areas ◽  
Local Development ◽  
Tourism Industry ◽  
Wine Tourism ◽  
Development Tool ◽  
The Us ◽  
The Impact ◽  
Positive Effect

Tourism has become a priority in national and regional development policies and is considered a source of economic growth, particularly in rural areas. Nowadays, wine tourism is an important form of tourism and has become a local development tool for rural areas. Regional tourism development studies based on wine tourism have a long history in several countries such as the US and Australia, but are more recent in Europe. Although Spain is a leading country in the tourism industry, with an enormous wine-growing tradition, the literature examining the economic impact of wine tourism in Spanish economy is scarce. In an attempt to fill this gap, the main objective of this paper is to analyze the impact of wine tourism on economic growth and employment in Spain. More specifically, by applying panel data techniques, we study the economic impact of tourism in nine Spanish wine routes in the period from 2008 to 2018. Our results suggest that tourism in these wine routes had a positive effect on economic growth. However, we do not find clear evidence of a positive effect on employment generation.

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