دانلود مقاله ISI انگلیسی شماره 11355
عنوان فارسی مقاله

رابطه مصرف انرژی، انتشار کربن و رشد اقتصادی در بنگلادش: تحلیل هم انباشتگی و علیت پویا

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
11355 2011 9 صفحه PDF سفارش دهید محاسبه نشده
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عنوان انگلیسی
Energy consumption, carbon emissions and economic growth nexus in Bangladesh: Cointegration and dynamic causality analysis
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy Policy, Volume 45, June 2012, Pages 217–225

کلمات کلیدی
- مصرف انرژی - رشد اقتصادی - بنگلادش
پیش نمایش مقاله
پیش نمایش مقاله رابطه مصرف انرژی، انتشار کربن و  رشد اقتصادی در بنگلادش: تحلیل هم انباشتگی و علیت پویا

چکیده انگلیسی

The paper investigates the possible existence of dynamic causality between energy consumption, electricity consumption, carbon emissions and economic growth in Bangladesh. First, we have tested cointegration relationships using the Johansen bi-variate cointegration model. This is complemented with an analysis of an auto-regressive distributed lag model to examine the results' robustness. Then, the Granger short-run, the long-run and strong causality are tested with a vector error correction modelling framework. The results indicate that uni-directional causality exists from energy consumption to economic growth both in the short and the long-run while a bi-directional long-run causality exists between electricity consumption and economic growth but no causal relationship exists in short-run. The strong causality results indicate bi-directional causality for both the cases. A uni-directional causality runs from energy consumption to CO2 emission for the short-run but feedback causality exists in the long-run. CO2 Granger causes economic growth both in the short and in the long-run. An important policy implication is that energy (electricity as well) can be considered as an important factor for the economic growth in Bangladesh. Moreover, as higher energy consumption also means higher pollution in the long-run, policy makers should stimulate alternative energy sources for meeting up the increasing energy demand.

مقدمه انگلیسی

The causality relationship between energy consumption and income is widely discussed and debated since the seminal work of Kraft and Kraft (1978). There exists plenty of literature on the casual relationship between electricity consumption and economic growth in the case of developing economies across the world. However, this empirical evidence is mixed and goes from unidirectional or bi-directional causality to no causality. Results vary across different countries because probably it depends on the country's development path, development stage, the sources of energy used, energy policies applied, energy consumption level, institutional arrangements and so on. Further most studies take electricity consumption as a proxy to total energy consumption, a choice that is may be not justified in all cases depending on energy sources in a country. This illustrates that the relationship between energy consumption and economic growth remains an issue of debate and of high importance for policy makers irrespective whether they come from developing or developed countries in the world. There exist two theoretical points of view in literature: first, a neo-classical view stating that economic growth of a country can be ‘neutral’ to energy consumption which thus postulates that a country may pursue an energy conservation policy for reducing CO2 emissions without undermining the pace of economic growth. This is defined as the ‘neutrality hypothesis’. Altinay and Karagol (2004); Jobert and Karanfil (2007); Halicioglu (2009) for instance did find evidence for this theory of no causal relationship between energy consumption and economic growth for Turkey. Similar results are found by Soytas and Sari (2003) for Canada, Chiou-Wei et al. (2008) for Korea, Malaysia and Thailand. The second theory postulates that a country's economic growth is highly associated with energy consumption because energy as any other production factor may be the limiting factor to economic growth. Stern, 1993 and Stern, 2000 found evidence for the theory that energy is a driving factor to the economic growth for the US. Similar results were found by Masih and Masih (1996) for India, Wolde-Rufael (2005) for Algeria, Cameron, Congo DR, Egypt, Nigeria; Wolde-Rufael (2004) for Shanghai; Soytas and Sari (2003) for France, Germany and Japan; Chontanawat et al., 2006 and Chontanawat et al., 2008 for Kenya, Nepal and the Philippines. In this theory, reduction in energy tends to reduce output growth and thus energy conservation policies may hamper the growth of an economy. This view rejects thus the ‘neo-classical’ hypothesis that energy is neutral to economic growth. Mozumder and Marathe (2007) in their review of literature on the energy consumption and economic growth nexus conclude that the findings not only vary across countries but also across econometric methodologies. Payne (2010a) and Payne (2010b) also provide comprehensive surveys on the literature of causal relationship between energy consumption, electricity consumption and economic growth. Payne (2010a) concludes that there is no clear consensus whether particular countries or group of countries are energy dependent or energy neutral. He also emphasizes the need of using alternative econometric approaches. Payne (2010b) finds varied evidences supporting as well the neutrality hypothesis, the growth hypothesis and the feedback hypothesis. Another aspect is that because of the global warming problem and a growing concern about scarce energy sources on one hand and a new paradigm on a green economy on the other, the causality relationship between economic growth and environmental pollution because of CO2 emission became high on the research and policy agenda. The emission of CO2 is a core cause of global warming. Therefore, it is also important and necessary to investigate whether economic growth and energy consumption lead to higher environmental pollution. The well known environmental Kuznets Curve (EKC) (Kuznets, 1955) postulates that there is an inverse U-shaped relationship between economic activity and environmental pollution. It explains that environmental degradation initially increases with the increase of income, reaches a threshold point and then it declines with increased income (Grossman and Krueger, 1991, Selden and Song, 1994 and Stern et al., 1996). Using the Toda and Yamamoto (1995) approach, Soytas and Sari (2007) found that CO2 emission Granger cause energy consumption in Turkey but not vice-versa. The causality relationship between energy consumption and CO2 emissions is investigated by Ang, 2008; Apergis and Payne, 2009; Menyah and Wolde-Rufael, 2010. However, the knowledge whether continued increase in national income brings more degradation to the environmental quality is critical for the design of development strategies (Ang, 2007). The author found that CO2 emission Granger causes economic growth. Elif et al. (2009) found a monotonically increasing relationship between CO2 and income in Turkey. However, the empirical evidence remains controversial and ambiguous until now, and there is no consensus in the literature on the economic level at which environmental degradation starts declining (Dinda, 2004). This is particularly important for developing countries where economic growth is still essential to escape from the poverty trap. Our study takes Bangladesh as a case study. This is motivated by following reasons: First, it is a country where the energy sector is poorly managed (Mozumder and Marathe, 2007). This is witnessed by the limited coverage of supply, poor quality services, energy stealing, utilities going bankrupt and huge government subsidies (Temple, 2002). Further, it is an energy deficit country which means that availability of energy (including electricity generation) from domestic supply is not sufficient to meet up the growing demand which can be illustrated by the regular electricity power cuts (called as load-shedding) caused by the lack of supply. The per capita energy consumption is 227 kg oil equivalent only which is much below the world average of 1680 kg oil equivalent (Islam et al. 2008). The major commercial energy sources consist of natural gas (from which almost half is used for electricity generation), petroleum, coal and hydro-power (BBS, 2005). The shares of natural gas, petroleum, coal and hydropower to total commercial energy consumption is 70.8%, 25%, 2.4% and 1.8%, respectively, (BP, 2011). The petroleum and coal are mostly used for transportation and industrial purposes. However, since independence in 1971, the economy is growing moderately, with an average economic growth ranging between 4 and 6% per annum (BBS, 2005). The government strategic policies are to increase the growth at least with an extra 2% by 2015 (Sixth-Five Year Plan, Government of the People's Republic of Bangladesh, 2011). So, it indicates that if the economic growth is associated with energy or electricity consumption and if causality runs from energy consumption (or electricity consumption) to economic growth, the lack of a smooth energy supply could be a serious constraint for the planned growth path. Second, in the Sixth-Five Year Plan (2011), the country plans an ambitious poverty reduction target by 2015 which can only be achieved if the above planned economic growth can be realized while keeping all other constraints constant, and assuming economic growth is pro-poor. Therefore, policy makers and development practitioners are very much concerned and interested in knowing whether the economic growth performance can be maintained according to the planned path and whether it will be possible to reach the poverty reduction target if this is associated with higher energy consumption given the poor state of the energy sector. If economic growth is not related to energy consumption or electricity consumption and is even not associated with CO2 emissions, then an energy conservation policy could be a feasible policy option as it would not affect the economic growth and poverty reduction target. In the opposite case, it may be a huge problem. Third, Bangladesh is one of the countries in the world that is likely to suffer extremely from the adverse effects from climate change because of global warming problem caused by environmental pollution. The Intergovernmental Panel on Climate Change (IPCC, 2001) predicts a high frequency of extreme climate events, like sea level rise, drought, flood and cyclones for Bangladesh. Although the country's contribution to global climate change via emissions of CO2 from energy uses is presently rather insignificant and this may change if the country's economic growth is associated to increased emission. But even if the contribution of the country to emissions and thus also potential emissions reduction is insignificant at the global scale, it may be of symbolic and political value for Bangladesh to show that it contributes to the problem and to convince other countries to reduce CO2 emission. All this makes Bangladesh an interesting case also because this is the first study to analyze the real income, energy consumption, electricity consumption and CO2 emission nexus in Bangladesh in a single study. So far, there exists only the study of Mozumder and Marathe (2007) who has analyzed the causal relationship between electricity consumption and economic growth in Bangladesh using a Johansen vector error correction model. The authors found a uni-directional causality that runs from economic growth to electricity consumption in the long-run. On this basis they concluded that an electricity saving policy must not be harmful to economic growth. However, we think that this provides only on a partial result as only about 50% of the country natural gas is used for electricity generation (BBS, 2005). Hydropower (3.28% of total electricity generation) is another main source of electricity generation. The country's overall power generation capacity has been unable to meet the demand over the past decades (EIA, 2005). Currently, per capita electricity generation in Bangladesh is the lowest in the world with only about 154 kWh/per year and 30% of the population has access to electricity (Bhattacharyya, 2007). The demand of electricity is growing at a rate of 10% per year which is assumed to be further increasing over the years. However, energy dependency does not only relate to the electricity consumption for industry, agriculture, and commercial activities but to the use of other energy sources such as petroleum and coal. Therefore focusing only on electricity consumption is less reflecting total energy consumption.1 Moreover, the empirical results presented by Mozumder and Marathe (2007) show two cointegrating relationships between the variables in the bi-variate model they used, which means that the estimated model might not be correctly identified. In a bi-variate model, when the number of cointegrating relationship (cointegrating rank) is equal to the number of endogenous variables, the rank is invertible and the variables in level are stationary which means that no cointegration exists (see methodology section for detail). Therefore our additional motivation is to re-visit the dynamic relationship between electricity consumption and the economic growth. To resume, our study contributes to the ongoing discussions by analyzing for the case of Bangladesh, an example of a poor country for which economic growth is essential to escape from the poverty trap, the existing nexus between energy consumption, environmental pollution and economic growth. Novel aspects in this study are the extension to total energy consumption instead of solely electricity consumption and the use of an alternative econometric approach for estimating the dynamic causality relations. The remainder of this paper is organized as follows. Section 2 presents data used for the analyses along with the different econometric methodologies. The results and discussions are presented in Section 3. The last section draws conclusions and policy implications.

نتیجه گیری انگلیسی

By applying bi-variate Johansen cointegration and vector error correction model, the paper investigated the dynamic linkages between energy consumption and economic growth, electricity consumption and economic growth, CO2 emissions and economic growth, and energy consumption and CO2 emissions in Bangladesh. To complement the Johansen cointegration, we have also estimated an ARDL model for the bound test to cointegration for testing the results robustness. There are some clear policy implications. The results of dynamic linkage between electricity consumption and economic growth show that the development of a sustainable electricity supply is indispensable for economic growth in the long-run. The short-run, long-run and strong dynamic causality results show that energy consumption leads to economic growth. We can conclude that Bangladesh is an energy dependent country and an increase in the energy supply would have a positive impact to the economic development. Therefore, the government should focus on the energy sector development and electricity generation for accelerating economic growth which in turn would be indispensible for attaining poverty reduction target by 2015. Apparently, an increase in energy consumption also leads to an increase in CO2 emission in the short-run but in the long-run CO2 emission leads to an increase in energy consumption and vice-versa. It means that an increase of energy consumption risk to deteriorate environmental quality by increasing of CO2 emission. The policy advice is therefore that because higher energy consumption is necessary for higher economic growth which if nothing changes will cause higher pollution in the long-run, policy makers should emphasize on finding alternative energy sources which are less polluting for meeting up the increasing demand. The results of the CO2 (for environmental quality degradation) emissions and the economic growth imply that the former might affect agriculture, water resources, ecological systems, and human health directly and indirectly which could undermine the economic growth. Therefore, it is of utmost importance that policy makers make strategic plans to stop or reduce environmental quality degradation.

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