Income Levels and Transition of Cooking Fuel Among Rural Poor in India

来源 :Energy Science and Technology | 被引量 : 0次 | 上传用户:gulongliu
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  Received 22 February 2012; accepted 22 October 2012
  Abstract
  More than two-thirds of the population lives in rural India. Even after six decades of independence and two decades of economic liberalization, it remains the bitter truth. This study assumes greater significance, because, majority of the rural people are still dependent on biomass fuel for cooking. A reduction in this could help India in greatly reducing the indoor as well as environmental pollution levels; thus helping in containing global warming. It would also help in controlling the health hazards caused due to the indoor pollution in the rural economy; which in effect would help the government in reducing the spending on public health. To make this happen, the government should make the distribution system of kerosene and Liquefied Petroleum Gas (LPG), efficient. This study could be useful not only to India, but to many other economies that are on the threshold of transition; where majority of the population, still lives in the rural areas, and are predominantly dependent on agriculture for their livelihood. This study was undertaken with the objective of analyzing the socio-economic conditions of rural poor in India with respect to their primary energy consumption viz. cooking fuel and impact on health. The study conducts a questionnaire based survey on demographic, economic, and perceptible parameters on modern fuel such as kerosene and LPG; using logit model to identifying variables useful for the study.
  Key words: Logit model; Kerosene; Liquefied petroleum gas; LPG; Bihar; Orissa; Rural; Rural India; Biomass fuel
  Das, D., & Srinivasan, R. (2012). Income Levels and Transition of Cooking Fuel Among Rural Poor in India. Energy Science and Technology, 4(2), -0. Available from: URL: http://www.cscanada.net/index.php/est/article/view/j.est.1923847920120402.226
  DOI: http://dx.doi.org/10.3968/j.est.1923847920120402.226
  INTRODUCTION
  Over the years, many studies have observed that the process of economic development is generally accompanied by a shift within developing country households toward increasing use of modern fuels, and decreasing reliance on biomass, even in the absence of policies explicitly aimed at achieving this outcome. The type of fuels used by a rural household is determined mainly by its socio economic condition. In many developing countries, biomass fuels namely animal dung, crop residues and firewood are used mostly by very poor people in rural area (Kanagawa & Nakata, 2008). The gathering of firewood and other biomass fuel is a strenuous and time consuming task for rural poor. On the other hand firewood collection and consumption are intricately linked to the degradation of natural resource especially the forest, leading to a situation of firewood scarcity. In addition, there are a number of other adverse consequences of forest degradation, including loss of biodiversity, release of carbon dioxide into atmosphere and soil erosion (Heltberg et al., 2000). Similarly, burning biomass in open-fire stoves and often with little ventilation, emits smoke containing large quantities of harmful pollutants, with serious health consequences for those exposed, particularly women involved in cooking and young children spending time around their mothers (Kumar et al., 2007). Several recent studies have shown strong associations between biomass fuel combustion and increased incidence of chronic bronchitis in women and acute respiratory infections in children. In addition, evidence is now emerging of links with a number of other conditions, including asthma, tuberculosis, low birth weight, cataracts, and cancer of upper airways (Mathur, 2001). Worldwide, exposure to smoke emissions from the household use of solid fuels is estimated to result in 1.6 million deaths annually (Balakrishnan, 2004).   Historically in India, biomass fuels constitute the predominant sources of energy, especially for cooking. The most important biomass in rural India are firewood, collected from forests, common lands, roadsides, and private fields; crops residues from farm; and dung, gathered from domestic animals. Firewood is used in almost all rural households. Though these traditional fuels are predominant in rural areas, but the pattern of their use is changing (Viswanathan et al., 2005). A shift in demand for kerosene, gas and electricity is observed among the better income groups in rural areas. Kerosene and electricity are used as a fuel for domestic lighting (Chaurey & Kandpal, 2009). However, this switch is negligible as compared to the use of traditional fuels, which is predominant across all income groups.
  In the past, there have been various attempts by the government to promote cleaner fuels. The standard approach was to change the relative fuel prices by providing subsidies. The approach has not been very successful in bringing energy transitions, especially in the lower income groups. The poor delivery infrastructure; high cost of connection and refilling; and availability of competing fuel choices in the form of fuelwood and other biomass fuels at zero cost remain as obstacles to quick diffusion of modern fuels in the rural household (The Energy and Resources Institute, 2004). As per some estimates, the annual impact of biomass fuel used by households in India is approximately 500,000 deaths and nearly 500 million cases of illness (Von Schrinding et al., 2001). The health effects that have been linked to household fuel smoke in developing countries include acute upper and lower respiratory illnesses (which are the leading cause of child mortality under the age of five in India), chronic bronchitis, chronic obstructive pulmonary disease, asthma, cataract (of which India has the highest incidence among women), and tuberculosis.
  In India heavy reliance on biomass has raised pressing concerns over the health impacts of indoor air pollution, as well as over environmental consequences such as deforestation and soil erosion. Therefore the objective of this paper is to discuss the factors guiding rural household choices of cooking fuels. This is crucial for policies to combat indoor air pollution and environmental degradation. As there is economic progression in a country, there is likely to be shift towards use of modern fuels. Understanding this "energy transition", as it has come to be called, is therefore of prime importance for designing policy interventions. It is also important for energy planners who must anticipate future demand for different types of fuels, as well as for those concerned with the longer-term environmental consequences of fuels use. Here we undertake the first analysis of a nationally representative survey of rural households in India particularly Orissa and Bihar to describe patterns of rural cooking fuels used, in the context of the conceptual framework of the energy transition. In the next section we describe the dataset. Following that we present a descriptive analysis, focusing on patterns of fuel use; by income, as well as a logit analysis of the determinants of cooking fuels use and the proportion derived from biomass. Finally, we provide a discussion and summarize conclusions.   1. METHODOLOGY FOR SAMPLE SELECTION AND DATA COLLECTION
  The data used in this paper was collected from primary sources based on fieldwork conducted during 2001-2002. The study covered two states of India. In the first stage of the multi-stage sampling used, two districts of each state were chosen. The districts were selected through purposive sampling to ensure that these districts were adequately representative of the state with respect to geographical distribution and special conditions of the state, if any. A total of four districts were chosen at the end of the first stage. Four blocks were identified in district in the second stage through circular systematic sampling using Directory of Blocks as the frame of reference. From each of the selected block ten gram panchayats was chosen using convenience sampling. A gram panchayat is the lowest administrative unit in India. In some cases a gram panchayat may consist of only one village, while in other, it may have a number of villages, hamlets or padas. The selection of villages/gram panchayats was done carefully so that these would properly represent the blocks. Individual respondents were the final sampling units. From each of the selected village or gram panchayat, fifteen respondents were selected randomly. Special care was taken to ensure that respondents were covered under Bellow Poverty Line (BPL) category. Finally, the schedule for respondents filled up for each of them. A total of 2400 were covered in the entire study.
  2. FUEL USED FOR COOKING IN RURAL AREA OF ORISSA AND BIHAR OF INDIA
  As per provisional figures released, about sixty-nine percent of India’s population resides in rural India (Census of India, 2001) and it also has a high concentration of people living under abject poverty. Of the total rural population, nearly thirty percent lives below the poverty line (Rao et al., 2009). In the rural areas, the households used mainly firewood and chips, dung cake, kerosene and liquefied petroleum gas (LPG) as the sources of energy for cooking. Among these sources, firewood and chips was used by almost three-fourths of the rural households. However, less than two percent of rural households use kerosene for cooking. The penetration of LPG is very low in rural India; only about six percent of the households use it for cooking purposes. The introduction of LPG leads to corresponding decrease in the consumption of firewood in rural areas reflects the shifts in cooking fuel (NSS, 2000). On the other hand, the use of dung cake decreased slightly at all-India level.   An analysis of Table 1 reveals that the total number of households residing in rural India was 138.3 million, out of which, the share of Orissa was five percent, and that of Bihar nine percent. In India maximum number (64 percent) of households uses firewood as cooking fuel, followed by crop residue and dung; whereas about six percent each, of all rural household in Orissa and Bihar used LPG. This is far less than the average LPG usage by rural household across India. In Orissa, about 75 percent of rural household used firewood as primary fuel for cooking; followed by crop residue and dung. But, only about 29 percent of the rural household in Bihar used firewood (Table 1). This may be due to their geographical and socioeconomic condition.
  Table 2
  A total number of 2400 respondents, with 1200 respondents each from states of Orissa and Bihar, spread across 160 Gram Panchayat of four districts were studied. All the respondents belong to the Bellow Poverty Line (BPL) category. From Table 2, it is observed that 83 percent of the respondents exclusively used firewood, crop residue and dung for cooking; and the remaining 17 percent used kerosene, LPG and electricity. The ratio between the traditional biomass fuel and the modern fuel has been the same in both the states. However, there is a significant difference in the usage of biomass fuel, between the states of Orissa and Bihar (Table 1). This may be due to expanse of forest area in Orissa; which constitutes 37.34 percent of the State’s geographical area. Similarly, crop residue and dung used in Bihar is 37 and 30 percent respectively, whereas in Orissa it is only 10 percent each. Agriculture and animal husbandry is the primary driver of the Bihar economy. One of the important features observed in rural area is that, the poor households are dependent on locally available biomass resources, because they are collected at zero cost. The importance of income as a factor affecting fuel use is however, apparent even in the case where the switch to modern fuel is not complete. In India, some study found that the most significant factors determining fuel consumption for cooking were income and location, whether rural and urban (Ekholm et al., 2010; Gundimeda & Kohlin, 2008; Pachauri & Jiang, 2008).
  Table 3 reveals that the average income per annum among the rural poor in Orissa and Bihar is a little over INR 20,000; with Bihar scoring marginally over Orissa. The difference in income levels could also be due to higher average size of family in Bihar. The low income levels of rural households in both the states, could be the main reason for higher dependence on traditional fuels, which is available free of cost.   Table 3
  Source: Field survey conducted in a2001 and b2002
  3. DEVELOPMENT OF MODEL
  For econometric analysis, the authors have adopted probabilistic logit model for fuel choice (Heltberg, 2003). The dependent variable Y can have only binary values, for representing whether the respondent switch to modern cooking fuel i.e. kerosene/gas or not (Onyekuru & Eboh, 2011). Probability of the occurrence of an event is determined by (Stock & Watson, 2005):
  where, F is the cumulative standard logistic distribution function, which has specific functional form, defined in terms of exponential function and X1, X2,….., etc., are independent variables.
  For the logit model the interpretation of coefficient β0, β1, etc., is transparent, considering the log odds ratio. The logit model can be written as:
  Table 4
  Definition of Variables
  The effect of a unit change in X on the log odds ratio of the event occurring is given by the corresponding β coefficient. Taking the log odds ratio into consideration is very useful since the interpretation of the coefficient is immediate. As logit model is not linear in parameters, they are estimated by using maximum likelihood techniques. The maximum likelihood estimator is consistent and normally distributed in large samples, so that t-statistics and confidence intervals for the coefficients can be constructed in the usual way. Table 4 defines the variables used in the model. The dependent variable FUEL again can take only binary values for Yi, with value 1 representing that the respondent switch to modern fuel for cooking and 0 indicating otherwise.
  In the independent variables INCOME and EXP, the respondents are classified into eleven categories, with 1 indicating that the respondent has income or expenditure up to INR 10000 per year; similarly 2, 3, 4, etc. with each representing the respondent household’s income or expenditure per year pertaining to a particular interval. Using this variable, we try to measure the ability of the respondents to switch to the modern cooking fuel, at a given significance level. The switch to modern fuel has been made, in part, a function of income; because of the fact that we are dealing with spending on modern fuel which increases the household cost; and that the capacity to spend has direct relationship with income (Mishra, 2008). Further, it is hypothesized that persons with larger income will expense more, ceteris paribus. Next variable MARKET represents the distance of the respondent household from the nearest market place, where the modern fuel is available (Arntzen & Kgathi, 1984).   4. ANALYSIS OF MODEL OUTPUT
  Table 5 presents the parameter estimates of the logit regression of the binary dependent variable (FUEL) for a selection of three independent variables as detailed above. The estimation, using the SPSS software package, was performed on the dataset consisting of 2400 observations (respondents). Data set from 58 observations could not be used because of some missing data. Thus only 2342 observations were considered for the purpose of analysis.
  Table 5
  Logit Estimates of Respondents Switch to Modern Fuel on Selected Variables
  The estimated coefficients of the independent variable INCOME of the respondent households is positive and strongly significant, implying that with everything else held constant, the respondent having higher income, is more likely to switch over to modern fuel (Gupta & Ravindranath, 1997; Peng et al., 2010). This is a very significant finding of this study. The reason could be that the households having more income are probably economically stronger than those having lesser income. Therefore, these households have financial resources to pay for purchasing cooking fuel. This is found to have significant relationship with the switching decision of the respondent. Another motivating factor for the relatively affluent families to switchover to modern fuel could be that it enhances their social status in the local community. The variable MARKET exhibits a negative and high level of significance on switching decision of the respondent. It means that the proximity of the MARKET and accessibility of the commercial fuel, by the respondent household, also play a significant role in the switchover decision. Other things being equal a respondent is more likely to adopt modern fuel, if the MARKET is close-by to the residence of the respondent (Jiang & Brain, 2004; Njong & Johannos, 2011).
  Using the above model, five different scenarios are constructed and the probability of switching to modern fuel, under these five scenarios, are computed and shown in Table 6.
  Table 6
  Probability of Switching over to Modern Fuel in Different Scenarios
  A look at scenario one reveals that even if the respondent household has a good family income, as the when household expenditure is also fairly high, the household is less likely to switchover, if the market is at far away distance from her residence. In scenario two, under similar conditions as that of scenario one, except that when the respondent’s residence is at a close proximity to the market, the switchover possibility to the modern fuel increases dramatically to seventy-five percent. Scenario three explains that even a household with moderate income levels has a fifty-fifty chance of switchover, if the market where modern fuel is available is not far off. These two scenarios seem to be the best case for adoption of modern fuel. However, the chance of switchover diminishes drastically, in scenarios four and five, where the respondents belong to poor income and expenditure group. In the last two cases, irrespective of market accessibility the switchover probabilities are very less. From the analysis of the five scenarios given above, it can be observed that INCOME and the level of EXP has positive impact; whereas MARKET has a negative impact in determining the likelihood of switching over to modern fuel. However, non-availability of modern fuel seems to be the major detrimental factor, in the switchover decision. However, income and expenditure have positive impact in moving towards modern fuel. Hence, the families having relatively higher income and household expenditure; and living close to the market, have a very high probability of adopting modern fuel as the cooking medium, than the families living far away from the market.   CONCLUSION
  Hike in the modern fuel prices has impacted the pockets of rich and poor equally. The cooking cost of the middle income group is pinching his pockets; and the increase in household budget is threatening even the mere existence of the poor man. Besides, there is also a constant concern over the environmental impact and global warming. According to some of the existing studies, the biomass fuels for cooking are the major indoor air polluters in the world today. In the prevailing circumstances, it becomes essential to look for modern fuel for cooking by the poor rural household. The most significant step towards reducing biomass fuel consumption could be by adopting liquefied petroleum gas. This enables reduction in indoor air pollution and saves forests.
  Data collected through the field study and subsequent data analysis, revealed that there is a reasonable amount of awareness and acceptability of modern fuel by the rural poor in India. About sixteen percent of the poor household respondents that took the survey have kept kerosene and LPG as an additional fuel for cooking, which is a very less proportion, considering the lack presence and penetration of modern fuel in rural India. The factors emerging out of the analysis is that the income of the respondent has great influence in the switchover to modern cooking fuel; but, the easy availability has even greater importance. The study further reveals that the economically better off respondents are prepared to switchover to modern fuel provided the availability of the fuel is made easier. The biomass fuel is available free of cost, as it can be collected from the nearby forest land. Besides, the rural households are primarily dependent on agricultural income for their livelihood. Most households are gainfully employed only at the time of cultivation; thus have much free time during off-seasons. Hence, they can productively use this free-time for collecting the firewood and other biomass fuels. So the motivation for the switchover to modern fuel, especially among the rural poor is far less; and given the fact that major portion of their monthly income is spent on food items and other daily needs. As regards the affluent rural households, the use of modern cooking fuel over traditional fuel seems to be more of a social need, rather than choice. It enables them to be set apart from the local masses. Use of modern cooking fuel seems to enhance their social status amongst other rural households, especially within the village. The proximity of the household to the market seems to the predominant factor in determining the switchover to modern fuel, than the household income or its monthly expenditure.   Promoting the use of modern fuel could also act as a great boost to an emerging economy such as India because, at every world forum, environmental concerns form part of core discussions; and voices on air pollution are raised. Immense pressure is mounted on India and other emerging economies to have control over air pollution. Making the modern fuel easily available will be beneficial, not only for the development and industrialization, but will also help in containing environmental pollution. Government of India should actively consider providing incentives, duty cuts, etc., and encourage supplying improved fuel for cooking to the rural poor. This ultimately achieves dual purpose of bringing down air pollution levels, as well as helping the rural poor in embracing modern fuel. By adopting cleaner fuel, government will be in a position to reduce the rural health hazards, which would ultimately help in reducing the government spending on public health; as also improving the living conditions of the rural poor. This would result in a win-win situation, both at the micro as well as macro levels. Hence, the onus is on the government to promote the use of modern fuel in the rural economy by making it easily available as well as provide monetary incentives/subsidies to the rural poor for adopting modern fuel.
  This study is undertaken with the objective of analyzing the socio-economic conditions of rural poor in India with respect to their primary energy consumption viz. cooking fuel and impact on health. The study conducts a questionnaire based survey on demographic, economic, and perceptible parameters on modern fuel such as kerosene and LPG; using logit model to identifying variables useful for the study. More than two-thirds of its population lives in rural India; and even after six decades of independence and two decades of economic liberalization, this remains the bitter truth. This study assumes greater significance, because, majority of the rural people are still dependent on biomass fuel for cooking. To make this happen, the government should have an efficient distribution system for of kerosene and LPG. This study could be useful not only to India, but to many other economies that are on the threshold of transition; where majority of its population is still living in the rural areas, and are predominantly dependent on agriculture for their livelihood.
  REFERENCES
  [1] Arntzen J. W., & Kgathi, D. L. (1984). Some of Determinants of the Consumption of Firewood Energy in Developing Countries: The Case of Rural Botswana. Botswana Journal of African Study, 4(1), 24-44.   [2] Balakrishnan K., Mehta, S., Kumar, P., Ramaswamy, P., Sambandam, S., Kumar, K. S., & Smith, K. R. (2004). Indoor Air Pollution Associated with Household Fuel Use in India. The International Bank for Reconstruction and Development/THE WORLD BANK.
  [3] Census of India: 2001. Retrieved from www.pon.nic.in/open/depts/ecostat/census/homepage.htm
  [4] Chaurey, A., & Kandpal, T. C. (2009). Solar Lanterns for Domestic Lighting in India: Viability of Central Charging Station Model. Energy Policy, 37(11), 4910-4918.
  [5] Ekholm, T., Krey V., Pachauri, S., & Riahi K. (2010). Determinant of Household Energy Consumption in India. Energy Policy, 38(10), 5696-5707.
  [6] Gundimeda, H., & Kohlin, G. (2008). Fuel Demand Elasticity for Energy and Environmental Polices: Indian Sample Survey Evidence. Energy Economics, 30(2), 517-546.
  [7] Gupta, S., & Ravindranath, N. H. (1997). Financial Analysis of Cooking Energy Option in India. Energy Conversion and Management, 38(18), 1809-1876.
  [8] Heltberg, R., Arndt, T. C., & Sekhar, N. U. (2000). Fuelwood Consumption and Forest Degradation: A Household Model for Domestic Energy Substitution in Rural India. Lend Economics, 76(2), 213-232.
  [9] Heltberg, R. (2003). Household Fuel and Energy Used in Developing Countries-A Multi Country Study, Oil and Gas Policy Division. The World Bank. Retrieved from http://siteresources.worldbank.org/INTPSIA/Resources/490023-120845825946/FuelUseMulticountryStudy_05.pdf
  [10] Jiang, L., & Brian, C. O. N. (2004). The Energy Transition in Rural China. International Journal of Global Energy Issues, 21(1/2), 2-26.
  [11] Kanagawa, M., & Nakata, T. (2007). Analysis of the Energy Access Improvement and It Socio Economic Impact in Rural Areas of Developing Countries. Ecological Economics, 62(2), 319-329.
  [12] Kavi Kumar, K.S., & Viswanathan, B. (2007). Changing Structure of Income Indoor Air Pollution Relationship in India. Energy Policy, 35(11), 5496-5504.
  [13] Mathur, J. N. (2001). Indoor Air Pollution in India – A Major Environmental and Public Concern. Indian Council of Medical Research, 31(5), 1-9.
  [14] Mishra, A. (2008). Determinants of Fuelwood Use in Rural Orissa: Implications for Energy Transition. Retrieved from http:www.sandeeonline.org/uploads/documents/abstract/844_ABS _ abstract_wp37.pdf
  [15] National Sample Survey Organization. (2001). Energy Used by Indian Households 1999-2000. Retrieved from http://mospi.nic.in/rept%20_%20pubn/464_final.pdf   [16] Njang, A. M., & Jnhannos, T. A. (2011). An Analysis of Domestic Cooking Energy Choices in Cameroon. European Journal of Social Sciences, 20(2), 336-347.
  [17] Onyekuru, N. A., & Eboh, E. C. (2011). Determinants of Cooking Energy Demand in the Rural Households of Enugu State, Nigeria: An Application of the Bivariate Probit Model. Asian Journal Experimental Biological Science, 2(2), 332-335.
  [18] Pachauri, S., & Jiang, L. (2008). The Household Energy Transition in India and China. Energy Policy, 36(11), 4022-4035.
  [19] Peng ,W., Hisham, Z., & Pan, J. (2010). Household Level Fuel Switching in Rural Hubei. Energy for Sustainable Development, 14, 238-244.
  [20] Roa, P. S. C., Miller, J. B., Wang, Y. D., & Byrne, J. B. (2009). Energy Microfinance Intervention for Below Poverty Line Household’s in India. Energy Policy, 37(5), 1694-1712.
  [21] Stock, J. H., & Watson, M. W. (2005). Introduction to Econometrics. New Delhi: Pearson Education Inc..
  [22] The Energy and Research Institute. (2004). TERI Energy Data Directory and Year Book 2003-04. Delhi: TERI Press.
  [23] Viswanathan, B., & Kavi, K. (2005). Cooking Fuel Used Pattern in India 1983-2000. Energy Policy, 33(8), 1021-1036.
  [24] Von, S., Yasmin, N. B., Smith, K., Ballard-Tremeer, G., Majid, E., & Kseniya, L. (2001). Addressing the Impact of Household Energy and Indoor Air Pollution on the Health of the Poor—Implications for Policy Action and Intervention Measures. WHO Commission on Macroeconomics and Health Working Paper WG5:12. Geneva: World Health Organization. Retrieved from http:www.who.int/mediacentre/events/H&SD_Plaq_no9.pdf
其他文献
摘要:在近几年广受欢迎的文化旅游地产项目中,新型社区邻里关系培育受到越来越多的重视。本文以秦皇岛阿那亚项目为考察对象,通过实地考察、问卷调查、访谈、和案例分析,试图对文化旅游地产模式下新型社区邻里关系培育机制进行初步研究。  关键词:社区邻里关系;阿那亚;文化旅游地产  中图分类号:F592.3 文献标识码:A 文章编号:1672-7517(2018)07-0022-02  1 引言  文化旅游地
期刊
摘要:我国的经济发展进入新常态,对于一个企业来讲要想长远的发展,在行业中占据一席之地,提升企业的核心竞争力是极其必要的。通过分析和探讨“一带一路”的概念内涵,分析企业的发展现状,并着重研究“一带一路”背景下增强外贸企业核心竞争力的有效策略,以期能够促进我国企业核心竞争力的提升贡献一分力量。  关键词:一带一路;企业核心竞争力;科技创新;人才基础  中图分类号:F592.3 文献标识码:A 文章编号
期刊
摘要:该文主要描述了县级行政区域界线详图集的编制方案,包括已有资料的分析整理、栅格图件纠正、底图矢量化、界线更新、地图编绘及印刷装帧等内容。并描述了编制过程中技术要求、特殊问题的处理和解决以及经验总结。《详图集》按册编制,它正确地反映了勘定的县级行政区域界线位置和走向,是县级行政区域界线管理的基础,发挥突击的应用服务作用,对依法行政,解决边界争议,维护社会稳定起到重要作用。  关键词:县级行政区域
期刊
[a]College of Chemical Engineering, China University of Petroleum, Qingdao, 266555, China.  *Corresponding author.  Supported by “PetroChina Innovation Foundation (Grant No. 2011D-5006-0405) and “The
期刊
摘要:本文主要结合湖北省三国文化的历史价值和意义,通过分析本省三国文化走出去的现状,积极看待旅游英语与三国文化传承的联系,以及相关从业人员在景点翻译或讲解过程中应避免不地道表达及注意事项,推动入境旅游业大繁荣大发展,进一步提高三国文化对外知名度,塑造三国文化旅游品牌。  关键词:三国文化;旅游英语;文化传承;翻译策略  中图分类号:F59 文献标识码:A 文章编号:1672-7517(2018)0
期刊
[a]Petroleum Company of Trinidad and Tobago (Petrotrin), Trinidad and Tobago.  [b]Petroleum Engineering, Texas A&M University, College Station, Texas.  *Corresponding author.  Received 12 June 2012; a
期刊
[a]Energy Research Institute, Russian Academy of Science, Moscow, Russian Federation.  *Corresponding author.  Received 12 May 2012; accepted 14 July 2012  Abstract  Falling unconventional oil product
期刊
[a]Department of Social Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan.  [b]Department of Social Engineering, Tokyo Institute of Technology, 2-12-1 Ookay
期刊
Natural gas and energy resource management is a major challenge in the rapidly changing global and business environment. Increase in gas recoveries and gas production have led a major review in the wa
期刊
摘要:习近平主席在十九大报告上提出我国进入新时代发展时期,本文基于新时代的大背景结合乡村振兴和经济新常态的背景下,发展我国乡村旅游具有优化我国产业结构、促进农村农业现代化以及实现我国经济可持续发展的现实意义。选取广西恭城县乡村旅游为研究对象,发现恭城县乡村旅游主要存在产品同质化、基础设施相对落后、环境保護力度不够等问题。基于此,并结合新时代发展的要求,提出了恭城县在发展乡村旅游应注重科学规划先行、
期刊