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Forecast of Carbon Dioxide Emissions from Energy Consumption in Industry Sectors in Thailand

Abstract

The aim of this research is to forecast CO2emissions from consumption of energy in Industry sectors in Thailand. To study, input-output tables based on Thailand for the years 2000 to 2015 are deployed to estimate CO2emissions, population growth and GDP growth. Moreover, those are also used to anticipate the energy consumption for fifteen years and thirty years ahead. The ARIMAX Model is applied to two sub-models, and the result indicates that Thailand will have 14.3541 % on average higher in CO2emissions in a fifteen-year period (2016-2030), and 31.1536 % in a thirty-year period (2016-2045). This study hopes to be useful in shaping future national policies and more effective planning. The researcher uses a statistical model called the ARIMAX Model, which is a stationary data model, and is a model that eliminates the problems of autocorrelations, heteroskedasticity, and multicollinearity. Thus, the forecasts will be made with minor error.

Open access
Participation Rates of Freshwater Recreational Fisheries in the Counties of Croatia

Out of Recreational Fishing? A Study of Lapsed Fishers from Queensland, Australia. Fisheries, 34, 443-452. World Bank (2019): GDP per capita (current US$). World Bank national accounts data, and OECD National Accounts data files.. https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=BR (accessed on 26 July 2019).

Open access
Analysis of the Validity of Environmental Kuznets Curve for the Baltic States

. Energy Economics 34:358-364. 20. He J.; Wang H. 2012. Economic struvture, development policy and environmental quality: An empirical analysis of environmental Kuznets curves with Chinese municipal data. Ecological Economics, Volume 76:49-59. 21. Holtz-Eakin, D.; Selden, T.M. Stoking the fires? CO2 emissions and economic growth. Journal of public economics, 1995, 57, p. 85-101. 22. Huang, W. M.; Lee, G. W. M.; Wu C. 2008. GHG emissions, GDP growth and the Kyoto Protocol: A revisit of Environmental Kuznets Curve

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Assessing the pre-REDD policies of countries with substantial forest area growth

Abstract

Based on the method of Compensated Successful Efforts, this paper proposes a structural variables model to assess pre-REDD+ (Reducing Emission from Deforestation and Degradation plus) policies; selecting economic development, population growth, initial forest area, agricultural commodity export prices, and timber prices as structural variables, and empirically analyzes 11 high-forest-growth countries’ policies from 1992 to 2011. Results show that the forest area growth rate was negatively correlated with the initial forest area and agricultural commodities export prices, and positively correlated with population density, GDP per capita, and timber export prices. China and India’s entity fixed effects are more significant; in different periods the rate of actual forest area growth exceeded that of structural forest area growth in 11 countries. Overall, Compensated Successful Efforts proved to be useful for evaluating the effects of the high forest area growth country policies. Regardless, these countries should join REDD+ organizations and continue enhancing their forest management and increasing forest area. As part of this effort, REDD+ negotiations should consider fully compensation mechanisms for these countries to attract more countries and promote the progress of international climate negotiations.

Open access