Regional carbon footprints of households: a German case study

Households are either directly or indirectly responsible for the highest share of global anthropogenic greenhouse gas emissions. Hence, programs helping to improve human consumption habits have been identified as a comparatively cost-effective way to reduce household emissions significantly. Recently, various studies have determined strong regional differences in household carbon footprints, yet a case study for Germany has not been conducted. Local information and policies directed at household consumption in Germany thus devoid of any foundation. In this paper, we analyze the impact of different criteria such as location, income and size on household carbon footprints in Germany and demonstrate how the impact of GHG mitigation opportunities varies for different population segments. We use a multi-region input output hybrid LCA approach to developing a regionalized household carbon footprint calculator for Germany that considers 16 sub-national regions, 15 different household sizes, and eight different income and age categories. The model reveals substantial regional differences in magnitude and composition of household carbon footprints, essentially influenced by two criteria: income and size. The highest income household is found to emit 4.25 times as much CO₂e than the lowest. We identify indirect emissions from consumption as the largest share of household carbon footprints, although this is subject to fluctuation based on household type. Due primarily to local differences in vehicle availability, income and nutrition, an average household in Baden-Wuerttemberg is found to have 25 % higher carbon footprint than its Mecklenburg-West Pomeranian counterpart. Based on the results of this study, we discuss policy options for household carbon mitigation in Germany.     

Distribution of health costs of pesticide use by household economy

We observed skewed distribution across household of benefits of pesticide use in vegetable farming in Nepal. However, economic burden or harm of pesticide use and exposure by household economy is poorly studied. It is hypothesized that exaggerated and incompetent pesticide use is likely to affect human health that may lead to decline in human productivity, and economic loss––that may further marginalize farmers. Thus, a study was conducted in the Ansi khola watershed of Kavrepalanchowk District of central Nepal. The primary aim of the study was to value risks of pesticide use and to estimate health costs of exposure by household category. We grouped household into “large-scale” who owns more than 1 ha of agricultural land, “small-scale” having <0.5 ha and “medium-scale” in between >0.5 and <1 ha. Data were collected through (1) an initial household survey conducted from May to June 2008, (2) monthly visit surveys accomplished from June to November 2008 and (3) a final household survey conducted during November to December 2009. The cost of pesticide use and exposure was highest for medium-scale household; however, the economic burden in relation to incomes was the highest for small-scale household. On the basis of area under vegetables, small-scale household incurred 23 % higher economic burdens compared to the large-scale household. Overall, the cost of pesticide use and exposure amounted 15 % of agricultural income and/or 5 % of gross household income. For small-scale households, the cost was equivalent to 18 % of agricultural income and 6 % of gross income. Small-scale households are not only deprived from benefits of agriculture intensification, but also incurred highest burden of pesticide use.     

生计资本异质对农户农地流转行为的影响——以武汉城市郊区的516户农民为例

以武汉市城郊江夏区和蔡甸区的516户农民家庭为实证,运用logistic和分位数回归模型探索家庭生计资本对农户土地流转行为的影响及阈值。结果表明:(1)人力资本和金融资本与农户农地转出行为呈显著正向相关,家庭农地资源禀赋、机耕能力、社会资源禀赋及经营能力的信任程度等与农地转出行为负向相关。相反,自然资源禀赋及农业机械投入对农户土地转入行为的正向影响显著,而家庭融资能力则对农户转入行为呈显著的负向影响。(2)分位数回归结果显示,对农户土地流转行为存在影响阈值的仅有韧性指数。当农户家庭韧性指数≤2时,随韧性指数增强农户农地转出倾向愈强;家庭韧性指数≥3时,农户农地转出倾向随指数增强而弱化。该研究从农户微观个体视角探索生计资本异质对农地流转行为的影响,为针对农户家庭需求制定差别化的农地流转政策、有效推进农业适度规模经营提供建议参考。     

中国城乡居民消费隐含的碳排放对比分析

可持续消费研究是产业生态学的重要内容.居民消费包括城镇居民消费和农村居民消费.本研究首先采用综合生命周期分析方法(Hybrid LCA)核算 1997、2002和2007三年的居民消费隐含的二氧化碳排放总量,发现2007年的碳排放量已经达到18.01亿吨.城镇居民消费已经成为居民消费的主要组成部分,到2007年城镇居民消费的碳排放量达到总量的76.44%.采用结构分解分析(SDA)方法对影响居民消费碳排放量变化的五项驱动因素进行分析,发现排放强度因子是"减缓"居民消费碳排放量增加的主要力量,而人均消费水平因子是推动碳排放量迅速增加的主要因素.同时,发现居民消费结构的变迁对碳排量的增加有一定促进作用.在未来应该通过持续降低能耗强度和加快研发低碳能源技术,来持续降低碳排放强度.另外,要充分挖掘居民生活方式和消费行为的减排潜力,引导消费结构,提倡适度消费,促进居民消费模式向低碳方向转变.     

城镇居民生活能耗与碳排放动态特征分析

居民家庭生活能源消费与碳排放越来越不容忽视,开展这方面研究对于促进居民可持续消费、寻找新的节能减排途径都具有十分重要的意义.本文在考察量化1999-2007年中国城镇居民生活直接、间接能源消费及其碳排放连续变化的基础上,探究了这段时期生活能耗与碳排放的动态变化特征,并分析其潜在的影响因素.研究主要结论包括:1999-2007年,中国城镇居民人均生活总能耗和碳排总量都呈现出逐年增加趋势,其中间接能耗与碳排始终大于直接能耗与碳排,但二者的差异正在逐年缩小;对于人均直接能耗与碳排来说,二者总量都呈逐年增加趋势,其中电力和煤炭是最主要的直接能源消费品种,也是最主要的碳排来源;对于人均间接能耗与碳排来说,虽然居民生活消费开支逐年递增,但由于各类消费项的单位产值能源强度在逐年下降,因此总的间接能耗与碳排并没呈现出一定的递增或递减趋势,而是出现波动性变化.其中"食品"、"教育文化娱乐服务"和"居住"3项是居民生活间接能耗与碳排的主要来源;人均住宅建筑面积是居民生活碳排变化的主要影晌因子.研究结论为引导可持续的家庭消费模式和节能减排措施的制定提供管理启示与科学依据.     

Convergence of new members of the EU: changes in household consumption expenditure structure regarding environmental impact during the prosperous period

The materially intensive consumption patterns and lifestyles present a major challenge to sustainability. The major part of consumption is determined in households; therefore, most of the environmental load is allocated to households as well. In order to examine how environmental impact by household consumption varies during the prosperous period, one needs to explore the alteration of household consumption structure, considering that discrete consumption expenditure categories influence environmental impact distinctly. Regarding that, alterations of household consumption expenditure structures are also partially influenced by European integration process. So convergence of new member states of the EU to the old ones by household consumption structure was analyzed. For estimation of occurrence and the extent of household consumption structure, X-convergence was applied. Therefore, the results showed that during the period of 1995–2007, the Czech Republic, Estonia, Lithuania and Slovenia were the most successful and Latvia with Poland achieved the least in converging toward the EU-15 consumption expenditure structure. According to evaluation of distinct consumption categories in relation to acidifying compounds and greenhouse gas emissions intensities, it was revealed that alterations of household consumption expenditure structure led to smaller levels of household environmental impact with the exception of Hungary.     

农户生计多样性发展阶段研究——基于脆弱性与适应性维度

为了观察农户生计活动复杂化过程,分析弹性在可持续生计中发挥的作用,推动扶贫开发战略从识别贫困人口向防御贫困转变,本文采用曲线拟合、核密度函数非参数估计算法等实证研究方法,利用陕西省安康农户生计与环境调查数据,基于脆弱性、适应性维度对农户生计多样性发展阶段进行了识别、划分,系统分析了弹性在农户、社区不同尺度上、阶段上对于农户生计脆弱性与适应性的作用过程。研究发现:生计多样性发展阶段随尺度有所不同,随着适应性提高,在社区尺度上,生计活动多样性指数先增加后减小,在农户尺度上,则是先减小后增加;农户生计活动存在高脆弱性、低适应性的尝试阶段,在经历了这个阶段之后,伴随着农户适应性的提高,脆弱性会同时增加;在社区尺度上,弹性作用下伴随着收入提高,脆弱性会逐步降低,在农户尺度上,弹性作用下伴随着收入提高,生计活动脆弱性会提高,形成"高风险、高收益"的情况。研究发现说明农户、社区存在着"多样性尝试"发展阶段,在一定尺度上保持适度脆弱性有利于社区、地域的可持续发展,作为联系不同尺度生计活动脆弱性、适应性的关键,农户在这个阶段完成生计多样性水平专业化过程,社区在这个阶段形成地区特色的生计活动。扶贫开发工作应把握好这一时机,提高工作措施效果和绩效。在扶贫开发工作实践中,在目标制定上不仅需要考虑收入因素,还需要考虑生计活动复杂性因素,政策措施充分利用"多样性尝试"发展时机,同时主动开展替代生计研究、落实工作,提高贫困防御能力,推动农户、社区可持续发展。     

可持续发展研究新方向:家庭可持续消费研究

可持续的家庭消费问题已经成为国际上的热点问题。本文首先对可持续家庭消费的研究进行了综述，再结合当前中国家庭的能源消费、水资源消费和垃圾排放的环境影响，提出了在中国进行可持续家庭消费研究的重要意义。     

‘Subjective resilience’: using perceptions to quantify household resilience to climate extremes and disasters

How should we measure a household’s resilience to climate extremes, climate change or other evolving threats? As resilience gathers momentum on the international stage, interest in this question continues to grow. So far, efforts to measure resilience have largely focused on the use of ‘objective’ frameworks and methods of indicator selection. These typically depend on a range of observable socio-economic variables, such as levels of income, the extent of a household’s social capital or its access to social safety nets. Yet while objective methods have their uses, they suffer from well-documented weaknesses. This paper advocates for the use of an alternative but complementary method: the measurement of ‘subjective’ resilience at the household level. The concept of subjective resilience stems from the premise that people have an understanding of the factors that contribute to their ability to anticipate, buffer and adapt to disturbance and change. Subjective household resilience therefore relates to an individual’s cognitive and affective self-evaluation of their household’s capabilities and capacities in responding to risk. We discuss the advantages and limitations of measuring subjective household resilience and highlight its relationships with other concepts such as perceived adaptive capacity, subjective well-being and psychological resilience. We then put forward different options for the design and delivery of survey questions on subjective household resilience. While the approach we describe is focused at the household level, we show how it has the potential to be aggregated to inform sub-national or national resilience metrics and indicators. Lastly, we highlight how subjective methods of resilience assessment could be used to improve policy and decision-making. Above all, we argue that, alongside traditional objective measures and indicators, efforts to measure resilience should take into account subjective aspects of household resilience in order to ensure a more holistic understanding of resilience to climate extremes and disasters.     

Influence of social capital on farmer household income gap: total effect and structural effect

Based on the survey data of typical villages in Shaanxi Province, China, the effect of social capital on the income gap of farmers’ households was analyzed using the Shapley value of the total amount of social capital and the social capital structure. The results show the following: first, social capital can expand the household income gap, and the effect of this index on the household income gap is 7.54%. Second, the indexes of the social capital dimension can expand the household income gap, and the structural effects of the household income gap on social networks, social trust, and social participation are 3.17%, 3.64%, and 0.65%, respectively. Third, no dimension of the path is the same as the effect on the household income gap.     

鲁西北地区农户家庭农地规模经营行为分析

本文根据1986-2001年鲁西北地区农村固定观察点陵县和阳谷县2个村共80户（1993年以前为120户、115户或141户）跟踪观察资料，对鲁西北地区农户经济活动行为及不同规律农户分布、农户家庭纯收入水平、农地生产率等加以分析，研究结果和结论可为区域农业和农村经济可持续发展有关政策的制定提供科学依据。     

Rural-urban Migration,Rural Household Income and Sustainable Development in Rural Areas of China

Abstract

The objective of this paper is to investigate the relationships among rural-urban migration, rural household income and sustainable development in rural areas of China. The typical case study is done and 288 questionnaires are collected from five villages in Hebei and Guangxi provinces, China. The migration and remittance status, household income and sustainable development of rural areas are analyzed on the basis of questionnaires. Rural-urban migration is becoming a part of routine life in rural areas. And remittance is an important component in rural household income. Rural-urban migration increases the arable land area per labor, which releases the tight human-land relationship in villages. In total, the migration increases the rural household income and accelerates the sustainable development of rural areas.     

CO_2 Emission Induced by Urban Household Consumption in China

Household consumption is one of the important factors that induce COL emission. Based on input-output model, this article calculated the intensity of CO2 emission of different income groups and seven provinces in China, and then estimated total CO2 emission induced by urban household consumption from 1995 to 2004 in China based on statistic data of household living expenditure. The results show that CO2 emission per capita induced by household consumption had increased from 1583 to 2498 kg CO2 during 1995-2004. The ratio of consumption-induced CO2 emission to total CO2 emission had risen from 19% to 30% in the past decade. Indirect CO2 emission accounted for an important part of the consumption-induced emission, the ratio of indirect emission to consumption-induced emission had risen from 69% to 79% during the same period. A significant difference in consumption-induced CO2 emission across different income groups and different regions has been observed. COs emission per capita of higher income groups and developed regions increased faster than that of lower income groups and developing regions. Changing lifestyle has driven significant increase in CO2 emission. Especially, increases in private transport expenditure （for example, vehicle expenditure） and house building expenditure are key driving factors of growth in consumption-induced COL emission. There are big differences in the amount of CO2 emission induced by change in lifestyle across different income groups and provinces. It can be expected that lower income households and developing regions will increase consumption to improve their livings with income growth in the future, which may induce much more CO2 emission. A reasonable level of CO2 emission is necessary to satisfy human needs and to improve living standard, but a noticeable fact is that CO2 emission per capita induced by household consumption in developed areas of China had reached a quite high level. Adjustment in lifestyle towards a low-carbon society is in urgent need.     

中国农村居民煤炭消费及影响因素研究

农村居民煤炭消费牵涉到农村居民生活方式与能源转型、北方供暖清洁化改革、大气污染治理等重大改革实践,如何准确理解和研判现有的农村居民煤炭消费现状,并进而识别出科学、有效的减煤措施,已成为改善农村居民能源结构、治理农村地区煤炭消费、改善北方地区大气质量的重要手段之一。然而,现有对农村居民煤炭消费的统计数据可能存在一定低估,基础性数据的匮乏与不足严重阻碍了科学研究和公共决策。为了准确了解我国农村居民煤炭消费的现状、特征与空间分布,本文采用第三次中国家庭能源消费调查数据对农村居民的煤炭消费进行了核算,并针对户均煤炭消费量和地区农村居民煤炭消费总量进行了比较,在此基础上还考察了气候差异、资源禀赋、收入水平等因素对农村居民煤炭需求的影响。研究结果表明,2014年中国农村居民生活用煤炭消费总量为6 585.7万tce,平均每户煤炭消费量为347.2 kgce,其中供暖用煤占比96.9%,烹饪用煤占比3.1%。各省的户均煤炭消费和煤炭消费总量呈现显著的空间差异,其中:东北、西部地区农村居民户均煤炭消费量显著高于其他地区,北京及周边的河北、山东、山西、内蒙、辽宁和天津7个省、市的农村居民共消费了全国55%的农村生活用煤,其中北京周边的河北、山东和山西三省农村居民消费了全国46.6%的农村煤炭消费。地区煤炭资源禀赋、农村居民住房面积与供暖用煤需求显著正相关,而冬季户外温度、居民收入水平同煤炭需求之间关系不显著。未来政府应通过改善农村居民民生需求、推动农村能源转型、提高农村能源统计水平等途径来有效治理农村散煤消费。     

基于STIRPAT模型的中国城镇生活能源消费影响因素研究

为探究人口规模、收入水平、消费倾向、节能政策和技术等因素对中国城镇生活能源消费的影响,基于拓展的STIRPAT模型并运用2000~2013年中国省际面板数据对各影响因素的效应进行评估。结果显示:城镇生活能源强度、城镇居民消费倾向、人均可支配收入、城镇化率、总人口、政策综合力度6个因素的增长率每变化1%,将会引起城镇生活能源消费量增长率0.9322%、0.8537%、(0.559 2+0.169 2 ln DI)%、0.599 8%、0.408 0%、-0.012 0%的变化,表明除节能政策外,其余5因素均正向促进城镇生活能耗增长。其中生活能源强度对城镇生活能耗影响最大,节能政策虽会抑制城镇生活能耗增长,但作用较为微弱。政府需继续加强节能政策综合实施力度,从而实现生活能源消费领域的节能减排。     

Calculation and decomposition of regional household energy consumption in China: based on perspectives of urbanization and residents’ consumption

Demographic urbanization caused great changes in scale of residents’ consumption and residents’ lifestyle and then impacted changes of regional household energy consumption. This paper expanded Logarithmic Mean Decomposition Index method through introducing variables of urbanization and residential consumption into the model. It also analyzed the influences of six factors as energy structure, energy intensity, population scale, urbanization, residential consumption, and consumption inhibit on regional household energy consumption. Results showed that in 2003–2012, impact of urbanization on regional household energy consumption of Chinese three areas was significantly higher than population size. The “population gathered in eastern region” phenomenon caused eastern region getting the largest population scale effect. Driving force of residential consumption on regional household energy consumption was much higher than the other five effects. Due to the comparative advantage of residential consumption compared with government consumption, investment, and net export, the decrease of consumption ratio promoted the growth of regional household energy consumption. Energy intensity in Chinese three regions kept reducing in 2003–2012. The progress of energy utilization technology slowed the growth of regional household energy consumption, and energy intensity effect was most significant in the central region.     

江西省上饶县农户水土保持投资行为机理与实证模型

以农户调查数据为基础,通过对农户水土保持行为机理分析,结合研究区域实际,确定区域经济发展水平、农户兼业经济行为、农业经营规模、劳动力状况等4大类因素为影响农户进行水土保持投入的主要因素,并进一步细化成9项具体指标。通过SPSS软件对各项指标与水土保持投入行为进行相关性分析,建立多元线性回归模型,发现农户兼业经济行为、农业经营规模是影响农户进行水土保持投入的主要限制因子。由于兼业和规模经营对农业收入的依赖程度较低,且防范农业风险的能力较强,农户往往不愿意进行水土保持投资。家庭收入主要来源于农业,以及农业人口比重较高的农户,往往会在水土保持上投入较多的时间和资金。针对农业劳动力不足、农业经营规模小等现状提出如何激励农户水土保持投资行为,以进一步促进水土流失治理的相关建议。     

Forest income and dependency in lowland Bolivia

Forests contribute to livelihoods of rural people throughout the tropics. This paper adds to the emerging body of quantitative knowledge on absolute and relative economic importance, through both cash and subsistence income, of moist forests to households. Qualitative contextual information was collected in six villages in lowland Bolivia, followed by a structured survey of randomly selected households (n = 118) that included four quarterly income surveys. We employed a novel data collection approach that allows detailed estimation of total household accounts, including sources of forest income. We estimated the average forest income share of total annual household income (forest dependency) at 20%, ranging from 18 to 24%. Adding environmental income increased the average to 26%, being fairly constant across income quartiles at 24–28%. Absolute levels of forest income increased with total household income, while forest dependency was the highest in the best-off income quartile—the primary harvesters of forest products are better-off households. The pattern of high forest dependency among better-off households has also been reported from other countries, indicating that this pattern may be more common than advocated by conventional wisdom. Using ordinary least squares (OLS) regressions, we found significant determinants of absolute forest income to be household size, sex of household head and area of cultivated land; the significant determinants for forest dependency were level of education, whether household head was born in village and whether household was food self-sufficient. Better-off households were able to realise cash income from forests, while poorer households—in particular if headed by women—were more reliant on subsistence forest income. We argue that the differential patterns of forest income across income quartiles should be considered in future development interventions and that findings indicate a potential for forests to contribute to moving households out of poverty.     

Rural-urban Migration,Rural Household Income and Sustainable Development in Rural Areas of China

The objective of this paper is to investigate the relationships among rural-urban migration, rural household income and sustainable development in rural areas of China. The typical case study is done and 288 questionnaires are collected from five villages in Hebei and Guangxi provinces, China. The migration and remittance status, household income and sustainable development of rural areas are analyzed on the basis of questionnaires. Rural-urban migration is becoming a part of routine life in rural areas. And remittance is an important component in rural household income. Rural-urban migration increases the arable land area per labor, which releases the tight human-land relationship in villages. In total, the migration increases the rural household income and accelerates the sustainable development of rural areas.     

Spatio-temporal modelling of electric vehicle charging demand and impacts on peak household electrical load

This paper presents a composite methodology for obtaining spatial and temporal projections of charging demand and peak-shaving potential from plug-in electric vehicles (EVs), and the associated spatio-temporal impacts on peak household electrical load. The methodology comprises a suite of models of future EV uptake, travel by households, household electricity demand and recharge/discharge of EVs at their home locations. The analysis is disaggregated to hourly time-steps over a full year, and spatially to mesh blocks comprising around 250 houses per block. The modelling suite is applied to an analysis of peak household load impacts across the state of Victoria, Australia, under nine different combinations of EV uptake and charging/discharging behaviour. The projected increase in peak household electrical loads under expected penetration rates and charging demands is less than 10 % on most high-demand days, but can be up to 15 % on a handful of days and geographic locations. Peak-load impacts under off-peak charging are mostly less than 5 %. With judicious EV discharging strategies, there is potential to shave peak loads on the highest demand days by up to 5 %.