Decoupling Analysis of Four Selected Countries

We examine decoupling conditions of domestic extraction of materials, energy use, and sulfur dioxide (SO₂) emissions from gross domestic product (GDP) for two BRIC (Brazil, Russia, India and China) countries (i.e., China and Russia) and two Organisation for Economic Co‐operation and Development (OECD) countries (Japan and the United States) during 2000–2007, using a pair of decoupling indicators for resource use (D_r) and waste emissions (D_e) and the decoupling chart, which can distinguish between absolute decoupling, relative decoupling, and non‐decoupling. We find that (1) during 2000–2007, decoupling between environmental indicators and GDP was higher in the two OECD countries as compared with the two BRIC countries. The key reason is that these countries were in different development stages with different economic growth rates. (2) Changes in environmental policies can significantly influence the degree of decoupling in a country. (3) China, Japan, and the United States were more successful in decoupling SO₂ emissions from GDP than in decoupling material and energy use from GDP. The main reason is that, unlike resource use, waste emissions (e.g., SO₂ emissions) can be reduced by effective end‐of‐pipe treatment. (4) The decoupling indicator is different from the changing rate of resource use and waste emissions. If two countries have different GDP growth rates, even though they may have similar values using the decoupling indicator, they may show different rates of change for resource use and waste emissions.     

Labor Embodied in Trade

Global production chains carry environmental and socioeconomic impacts embodied in each traded good and service. Even though labor and energy productivities tend to be higher for domestic production in high‐income countries than those in emerging economies, this difference is significantly reduced for consumption, when including imported products to satisfy national demand. The analysis of socioeconomic and environmental aspects embodied in consumption can shed a light on the real level of productivity of an economy, as well as the effects of rising imports and offshoring. This research introduces a consumption‐based metric for productivity, in which we evaluate the loss of productivity of developed nations resulting from imports from less‐developed economies and offshoring of labor‐intensive production. We measure the labor, energy, and greenhouse gas emissions footprints in the European Union's trade with the rest of the world through a multiregional input‐output model. We confirm that the labor footprint of European imports is significantly higher than the one of exports, mainly from low‐skilled, labor‐intensive primary sectors. A high share of labor embodied in exports is commonly associated with low energy productivities in domestic industries. Hence, this reconfirms that the offshoring of production to cheaper and low‐skilled, labor‐abundant countries offsets, or even reverts, energy efficiency gains and climate‐change mitigation actions in developed countries.     

Economic growth and obesity: An interesting relationship with world-wide implications

The prosperity of a country, commonly measured in terms of its annual per capita Gross Domestic Product (GDP), has different relationships with population levels of body weight and happiness, as well as environmental impacts such as carbon emissions. The aim of this study was to examine these relationships and to try to find a level of GDP, which provides for sustainable economic activity, optimal happiness and healthy levels of mean body mass index (BMI). Spline regression analyses were conducted using national indices from 175 countries: GDP, adult BMI, mean happiness scores, and carbon footprint per capita for the year 2007. Results showed that GDP was positively related to BMI and happiness up to ∼$US3000 and ∼$5000 per capita respectively, with no significant relationships beyond these levels. GDP was also positively related to CO₂ emissions with a recognised sustainable carbon footprint of less than 5 tonnes per capita occurring at a GDP of <$US15,000. These findings show that a GDP between $US5 and $15,000 is associated with greater population happiness and environmental stability. A mean BMI of 21-23 kg/m², which minimises the prevalence of underweight and overweight in the population then helps to define an ideal position in relation to growth, which few countries appear to have obtained. Within a group of wealthy countries (GDP > $US30,000), those with lower income inequalities and more regulated (less liberal) market systems had lower mean BMIs.     

空间互动视角下CO2排放驱动因素及溢出效应——基于全球98个国家的数据分析

全球气候变暖已成为21世纪威胁人类可持续发展的严峻挑战,减少CO₂排放是抑制气候变暖的重要路径。从全球碳减排的宏观视角出发,以98个国家为研究对象,基于总商品贸易和化石能源贸易的引力模型构建两种空间互动关系,利用扩展后的S-STIRPAT模型对2000、2005、2010年和2014年人均CO₂排放的驱动机制和空间溢出效应展开实证分析,并基于发展差异视角进一步探究发达和欠发达国家CO₂排放驱动机制异同。研究结果表明：（1）2000、2005、2010年和2014年人均CO₂排放溢出效应呈增强态势。（2）城市化水平、人均GDP、能源强度对人均CO₂排放产生显著正向影响,可再生能源使用率对人均CO₂排放产生显著负向影响。（3）发展差异视角下,城市化水平、人均GDP和能源强度对欠发达国家影响更大,可再生能源使用率对发达国家影响更为显著。根据研究结果建议加强发达国家和欠发达国家低碳技术交流与合作,同时积极调整能源结构以减少CO₂排放。     

Ecological footprint (EF): An expanded role in calculating resource productivity (RP) using China and the G20 member countries as examples

As resources become scarcer measuring resource productivity (RP) is more important. Quantifying the value of natural resources is challenging but the ecological footprint (EF) concept provides one method of uniformly describing a variety of natural resources. Current assessments of RP mainly revolve around output efficiency of resources, namely the ratio of GDP to natural resource usage.This paper develops a new method of calculating the RP by using the EF as an indicator of the natural resource input and gross domestic product (GDP) as the output in the equation of RP = GDP/EF. A regression analysis is carried out using GDP per capita and RP of China from 1997 to 2011, and a comparative analysis with the members of the G20 countries according to their RP and per capita GDP in 2008. The results indicate that RP correlates with the per capita GDP, showing that RP is a valid indicator which can be used to measure a country’s level of economic development.     

Trends and scenarios of the carbon budget in postagricultural Puerto Rico (1936–2060)

Contrary to the general trend in the tropics, Puerto Rico underwent a process of agriculture abandonment during the second half of the 20th century as a consequence of socioeconomic changes toward urbanization and industrialization. Using data on land‐use change, biomass accumulation in secondary forests, and ratios between gross domestic product (GDP) and carbon emissions, we developed a model of the carbon budget for Puerto Rico between 1936 and 2060. As a consequence of land abandonment, forests have expanded rapidly since 1950, achieving the highest sequestration rates between 1980 and 1990. Regardless of future scenarios of demography and land use, sequestration rates will decrease in the future because biomass accumulation decreases with forest age and there is little agricultural land remaining to be abandoned. Due to high per‐capita consumption and population density, carbon emissions of Puerto Rico have increased dramatically and exceeded carbon sequestration during the second half of the 20th century. Although Puerto Rico had the highest percent of reforestation for a tropical country, emissions during the period 1950–2000 were approximately 3.5 times higher than sequestration, and current annual emission is almost nine times the rate of sequestration. Additionally, while sequestration will decrease over the next six decades, current socioeconomic trends suggest increasing emissions unless there are significant changes in energy technology or consumption patterns. In conclusion, socioeconomic changes leading to urbanization and industrialization in tropical countries may promote high rates of carbon sequestration during the decades following land abandonment. Initial high rates of carbon sequestration can balance emissions of developing countries with low emission/GDP ratio. In Puerto Rico, the socioeconomic changes that promoted reforestation also promoted high‐energy consumption, and resulted in a net increase in carbon emissions.     

Natural and socioeconomic determinants of the embodied human appropriation of net primary production and its relation to other resource use indicators

Indicators of resource use such as material and energy flow accounts, emission data and the ecological footprint inform societies about their performance by evaluating resource use efficiency and the effectiveness of sustainability policies. The human appropriation of net primary production (HANPP) is an indicator of land-use intensity on each nation's territory used in research as well as in environmental reports. ‘Embodied HANPP’ (eHANPP) measures the HANPP anywhere on earth resulting from a nation's domestic biomass consumption. The objectives of this article are (i) to study the relation between eHANPP and other resource use indicators and (ii) to analyse socioeconomic and natural determinants of global eHANPP patterns in the year 2000. We discuss a statistical analysis of >140 countries aiming to better understand these relationships. We found that indicators of material and energy throughput, fossil-energy related CO₂ emissions as well as the ecological footprint are highly correlated with each other as well as with GDP, while eHANPP is neither correlated with other resource use indicators nor with GDP, despite a strong correlation between final biomass consumption and GDP. This can be explained by improvements in agricultural efficiency associated with GDP growth. Only about half of the variation in eHANPP can be explained by differences in national land-use systems, suggesting a considerable influence of trade on eHANPP patterns. eHANPP related with biomass trade can largely be explained by differences in natural endowment, in particular the availability of productive area. We conclude that eHANPP can deliver important complimentary information to indicators that primarily monitor socioeconomic metabolism.     

辽宁省能源消费和碳排放与经济增长的关系

在广泛收集资料的基础上,对辽宁省的能源利用效率、能源消费强度与经济增长的关系进行探索,其目的为辽宁省的节能与CO2减排及经济的快速发展提供科学依据。结果表明:辽宁整体单位GDP能耗高出全国水平52%—70%,第二产业单位GDP能耗是第三产业的5.67—8.41倍,第一产业的7.2—9.0倍;辽宁能源利用率只有全国平均水平的60%左右,第二产业能源利用效率只有第一产业的11.89%,第三产业的12.60%;GDP年增长速率大于能源消费量年增长速率,能源投入增加促进了国民生产总值的提高,但是经济增长并不是完全依赖能源消费的增长;能源消费量与经济增长的关系,呈现出"N型"曲线特征,随着GDP的增加,能源消费量出现反复上升和下降过程,辽宁省能源消费和经济增长关系没有达到长期的均衡性,尚处于非平衡的发展阶段。     

Testing environmental Kuznets curve hypothesis: The role of renewable and non-renewable energy consumption and trade in OECD countries

This paper investigates the causal relationships between per capita CO₂ emissions, gross domestic product (GDP), renewable and non-renewable energy consumption, and international trade for a panel of 25 OECD countries over the period 1980–2010. Short-run Granger causality tests show the existence of bidirectional causality between: renewable energy consumption and imports, renewable and non-renewable energy consumption, non-renewable energy and trade (exports or imports); and unidirectional causality running from: exports to renewable energy, trade to CO₂ emissions, output to renewable energy. There are also long-run bidirectional causalities between all our considered variables. Our long-run fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) estimates show that the inverted U-shaped environmental Kuznets curve (EKC) hypothesis is verified for this sample of OECD countries. They also show that increasing non-renewable energy increases CO₂ emissions. Interestingly, increasing trade or renewable energy reduces CO₂ emissions. According to these results, more trade and more use of renewable energy are efficient strategies to combat global warming in these countries.     

Carbon emission targets and decoupling indicators

Carbon intensity targets are part of the emission reduction metrics used in some of Copenhagen pledges and of Intended Nationally Determined Contributions. One of the alleged features of such target format is to secure a reduction in emissions’ intensity in order to decouple greenhouse gases generation from economic activity. This article compares the decoupling indicators most commonly used in the literature and shows that, there are more cases to analyze decoupling than those usually considered and that sometimes there is agreement but there can also be disagreement among indicators. Decoupling is not a goal in itself, diminishing emissions is. In that sense, it becomes clear here that strong delinking of emissions from GDP is better than weak decoupling in growing economies (because emissions’ intensity decreases in both cases but emissions only diminish in the former), but this ranking does not hold in recessive economies. When the economy is in recession, weak negative decoupling over scores strong negative decoupling since, only in the former, emissions decrease. Nevertheless, the best possible state in an economy in retraction is recessive decoupling, that is “green degrowth” (emissions, GDP and emissions’ intensity all decrease). In the existing literature, decoupling indicators have been employed to analyze countries, regions, cities, or sectors with stable growth and some of the decoupling degrees were detected. Here, Argentina is used for illustration purposes since it has the advantage to be the first nation to design a GDP related carbon emissions’ target and be at the same time a very unstable country. The latter characteristic allows finding almost all cases of decoupling when considering emissions from 1990 to 2012.     

A Reassessment of the Relationship between GDP and Life Satisfaction

The scientific debate on the relation between Gross Domestic Product (GDP) and self reported indices of life satisfaction is still open. In a well-known finding, Easterlin reported no significant relationship between happiness and aggregate income in time-series analysis. However, life satisfaction appears to be strictly monotonically increasing with income when one studies this relation at a point in time across nations. Here, we analyze the relation between per capita GDP and life satisfaction without imposing a functional form and eliminating potentially confounding country-specific factors. We show that this relation clearly increases in country with a per capita GDP below 15,000 USD (2005 in Purchasing Power Parity), then it flattens for richer countries. The probability of reporting the highest level of life satisfaction is more than 12% lower in the poor countries with a per capita GDP below 5,600 USD than in the counties with a per capita GDP of about 15,000 USD. In countries with an income above 17,000 USD the probability of reporting the highest level of life satisfaction changes within a range of 2% maximum. Interestingly enough, life satisfaction seems to peak at around 30,000 USD and then slightly but significantly decline among the richest countries. These results suggest an explanation of the Easterlin paradox: life satisfaction increases with GDP in poor country, but this relation is approximately flat in richer countries. We explain this relation with aspiration levels. We assume that a gap between aspiration and realized income is negatively perceived; and aspirations to higher income increase with income. These facts together have a negative effect on life satisfaction, opposite to the positive direct effect of the income. The net effect is ambiguous. We predict a higher negative effect in individuals with higher sensitivity to losses (measured by their neuroticism score) and provide econometric support of this explanation.     

基于夜间灯光数据的湖南省县域碳排放时空格局及影响因素研究

研究碳排放的时空格局演变及影响因素对指导制定差异化的碳减排政策具有重要意义。基于夜间灯光数据,在估算湖南省各县区碳排放量的基础上,结合空间统计、空间自相关、热点分析、地理加权回归、GIS等方法研究了湖南省县域碳排放的空间分异、时空格局特征与影响因素。研究结果表明:(1)2013—2017年,湖南省能源消费碳排放总体上呈现东高西低的空间格局,碳排放主要集中于区域的市辖区,县域碳排放最高点在长沙市市辖区;(2)湖南省能源消费碳排放存在较为显著的空间正相关,全省县域尺度能源消费碳排放全局Moran’sI指数整体呈现出逐年上升的趋势,各市的市辖区在中心相互辐射,表现出显著的集聚现象,并形成了碳排放“高-高型”分布特征;(3)湖南省能源消费碳排放量的冷热点格局表现出湘南地区冷点扩张,湘中地区热点扩张的演变趋势,从2013年到2017年,热点区与次热点区由11个升至13个,湘中地区与其他地区的冷热点差距在逐步拉大;(4)影响湖南省县域能源消费碳排放量的4个影响因素与碳排放均表现为正相关性,其影响程度依次为人口、人均GDP、第二产业比重与单位GDP能耗。     

Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function

The measurement of carbon productivity makes the effort of global climate change mitigation accountable and helps to formulate policies and prioritize actions for economic growth, energy conservation, and carbon emissions control. Previous studies arbitrarily predetermined the directions of directional distance function in calculating the carbon productivity indicator, and the traditional carbon productivity indicator itself is not capable of identifying the contribution of different energy driven carbon emissions in carbon productivity change. Through utilizing an endogenous directional distance function selecting approach and a global productivity index, this paper proposes a global Luenberger carbon productivity indicator for computing carbon productivity change. This carbon productivity indicator can be further decomposed into three components that respectively identify the best practice gap change, pure efficiency change, and scale efficiency change. Moreover, the carbon productivity indicator is shown as a combination of individual carbon emissions productivity indicators that account for the contribution of different fossil fuel driven carbon emissions (i.e. coal driven CO₂, oil driven CO₂, and natural gas driven CO₂) toward the carbon productivity change. Our carbon productivity indicator is employed to measure and decompose the carbon productivity changes of 37 major carbon emitting countries and regions over 1995–2009. The main findings include: (i) endogenous directions identifying the largest improvement potentials are noticeably different from exogenous directions in estimating the inefficiencies of undesirable outputs. (ii) Carbon productivity indicator calculated with the consideration of emission structure provides a more significant estimation on productivity change. (iii) The aggregated carbon productivity and the specific energy driven carbon productivities significantly improve over our study period which are primarily attributed to technical progress. (iv) Empirical results imply that policies focused on researching and developing energy utilization and carbon control technologies might not be enough; it is also essential to encourage technical efficiency catching-up and economic scale management.     

Does income growth relocate ecological footprint?

The aim of this paper is to investigate whether countries tend to relocate their ecological footprint as they grow richer. The analysis is carried out for a panel of 116 countries by employing the production and import components of the ecological footprint data of the Global Footprint Network for the period 2004–2008. With few exceptions, the existing Environmental Kuznets Curve (EKC) literature concentrates only on the income-environmental degradation nexus in the home country and neglects the negative consequences of home consumption spilled out. Controlling for the effects of openness to trade, biological capacity, population density, industry share and energy per capita as well as stringency of environmental regulation and environmental regulation enforcement, we detect an EKC-type relationship only between per capita income and footprint of domestic production. Within the income range, import footprint is found to be monotonically increasing with income. Moreover, we find that domestic environmental regulations do not influence country decisions to import environmentally harmful products from abroad; but they do affect domestic production characteristics. Hence, our findings indicate the importance of environmental regulations and provide support for the “Pollution Haven” and “Race-to-the-Bottom” hypotheses.     

Drivers of land use efficiency and trade embodied biomass use of Finland 2000–2010

Globally human pressure on the biosphere is increasing, in spite of increases in land use efficiency. The pressure consists of land use and potential degradation. Human appropriation of net primary production (HANPP) is emerging as an indicator, which combines the dual aspects of biomass use and land degradation. Recently HANPP has been used to map the increasing dependence of European countries on biomass imports and the conflicting processes of increased yields and increased consumption. However large overview studies could be complemented with indepth analysis into the causes of changes in individual countries and economic sectors. This allows the analysis of the macroeconomic drivers of change and the responses in sectors to these drivers. In this study we decomposed the HANPP of Finland including imports for the years 2000–2010 using IPAT and applied input-output analysis to look at sectoral land use efficiency in that time period. Finland is a country with intensive biomass trade, and with a very high per capita HANPP. During the study period the sum of domestic and embodied in imports HANPP of the Finnish economy decreased from 76 Mt C/a to 62 Mt C/a (−1% annually on average), while the HANPP related to imports increased from 12 Mt C/a to 14 Mt C/a. The overall trend was that of declining exports and increasing domestic consumption. Of the economic sectors wood harvesting and processing dominated HANPP results, followed by residential construction, animal production and energy supply. In terms of HANPP, most of these decreased, but housing and energy production increased considerably from 2002 to 2010. At the macroeconomic level domestic biomass use per unit of value added decreased (−2.2%/a) as did the amount of HANPP per unit of biomass (−1.1%/a) reflecting increased economic efficiency in land use. In contrast, GDP/capita (+1.3%/a), population (+0.4%) and the share of outsourced HANPP (+0.6%) resulted in increased consumption-based HANPP (from 21 Mt C in 2002 to 27 Mt C in 2010). Our results underline the importance of including international trade and consumption in interpreting overall change in regional HANPP.     

中美减排二氧化碳的GDP溢出模拟

基于气候保护模型(State-contingent模型与Demeter模型)和GDP溢出模型(Mundell-Fleming模型),对中美两国在实施控制性气候保护措施之后所导致的GDP溢出影响的变化进行了模拟分析。结果表明,美国实行控制性减排政策对于中国的GDP溢出影响与不实施任何减排的情况相比,两者的差别并不明显,但是这种影响经历一个从负向到正向逐步上升的发展趋势,虽然中国实行控制性减排政策对于美国GDP溢出的影响,相比美国对于中国的影响,所导致的GDP溢出影响更小,但是也同样表现出了一个从负溢出到正溢出的过程。这一结果表明一国的控制性气候保护政策从长远来看会对另一国的经济发展产生正向的溢出。同时,针对两种情况,即不考虑他国GDP溢出影响和考虑他国GDP溢出影响,分别模拟计算了中美两国的GDP,进而对两种情况下的差额结果进行对比,分析了中美相互之间GDP溢出量的大小。结果发现,美国对中国GDP溢出影响要大于中国对美国的GDP溢出。     

The cost of premature death from cancer attributable to alcohol: Productivity losses in Europe in 2018

BackgroundMore than 1.9 million people die from cancer each year in Europe. Alcohol use is a major modifiable risk factor for cancer and poses an economic burden on society. We estimated the cost of productivity lost due to premature death (under 65 years of age) from alcohol-attributable cancer in the European Union (EU) plus Iceland, Norway, Switzerland, and the United Kingdom (UK) in 2018.MethodsWe estimated cancer deaths attributable to alcohol using a Levin-based population attributable fractions method and cancer deaths in 2018 from the Global Cancer Observatory. Lost productivity was estimated for all alcohol-attributable cancer deaths by sex, cancer site, and country. Productivity losses were valued using the human capital approach.ResultsAn estimated 23,300 cancer deaths among people aged less than 65 in the EU plus Iceland, Norway, Switzerland and the UK in 2018 were attributable to alcohol (18,200 males, 5100 females). This equated to €4.58 billion in total productivity losses in the region and 0.027 % of the European Gross Domestic Product (GDP). The average cost per alcohol-attributable cancer death was €196,000. Productivity lost to alcohol-attributable cancer per capita was highest in Western Europe. Hungary, Romania, Slovakia, Latvia, Lithuania, and Portugal had the highest rate of premature mortality from alcohol-attributable cancer and the highest productivity lost as a share of national GDP.ConclusionOur study provides estimates of lost productivity from alcohol-attributable cancer death in Europe. Cost-effective strategies to prevent alcohol-attributable cancer deaths could result in economic benefits for society and must be prioritised.     

基于CGE碳税政策对北京社会经济系统的影响分析

根据研究需要与北京市2010年投入产出表部门划分情况,尽可能地对能源部门进行细分,并编制社会核算矩阵。构建可计算一般均衡(CGE)模型模拟碳税政策对北京市社会经济的影响。实证结果显示:碳税政策具有显著的节能减排效果,对于化石能源密集型产业产出具有明显的抑制作用,但对于清洁能源、服务业等行业产出具有促进作用。因此严格限制煤炭、石油等高碳化石能源的使用、开发高碳能源低碳化利用技术是减排的重要措施。由于碳税会使产品价格上升,从而导致消费需求减少,碳税对国内生产总值和社会福利具有一定的负面影响,虽然影响程度的相对量有限,但影响的绝对效果较大,应该避免较高的碳税税率。     

东北三省“水-能源-碳”系统仿真模拟——基于系统动力学模型

水资源和能源消费量及碳排放制约区域发展水平,也影响区域生态环境质量,区域多要素资源耦合作用与协同管理成为近年来的研究热点。水资源、能源和碳排放三个系统通过不同的流程相互连接,探究"水-能源-碳"系统耦合关系,是区域探索绿色协调发展的重要基础。以东北三省为研究对象,采用系统动力学研究方法,从自然、社会、经济三个维度来探索水-能源-碳三者的关联模式。以2001-2019年东北三省的水资源、能源、碳排放现状为基础数据,梳理三个子系统的耦合关系,并对未来二十年其发展变化仿真模拟。结果表明：（1）水资源、能源、碳排放在未来二十年均呈现增长的趋势,水资源增长趋势最快,在仿真情景5下,与2020年相比2040年水资源、能源消费量和碳排放量分别增长230.4%、210.7%和36.9%;（2）决策变量对"水-能源-碳"系统的影响程度依次是清洁节能>产业调控>国内生产总值（GDP）增长率,随着GDP增长率升高,水资源和能源消耗量、碳排放量升增加,随着产业转型升级,居民意识提高及清洁能源增加,水资源和能源消耗量、碳排放量减少。在综合调控情景下,未来水资源消耗量高于基础情景,能源消耗量和碳排放量则得到了良好的控制;（3）2020-2040年,水资源、能源消费量和碳排放量呈现强相关性,纽带关系呈协同优化方向改善,供需缺口减小,有效的缓解了环境压力;（4）情景3的能源结构调整和居民意识的提高可有效降低碳排放量,情景4产业结构的调整对水资源和能源的影响较为明显。情景5权衡经济发展与节能节水以减少碳排放,严格按照"双碳"目标,将水资源、能源向较高质量发展的可持续发展方向推进,更具参考性。研究结果有利于东北三省"水-能源-碳"系统可持续发展,促进经济发展水平。     

基于国家生态足迹账户计算方法的福建省生态足迹研究

运用国家生态足迹账户计算方法(2010版),计算并分析2000-2009年福建省的生态足迹和生态承载力,旨在展示国外生态足迹计算方法研究的最新进展,更准确地揭示近年来福建省的生态足迹和生态承载力状况。结果表明:2000-2009年福建省人均生态足迹由1.2902 gha^**快速增长至2.4925 gha;人均生态承载力由0.9772 gha轻微下降为0.9363 gha;生态赤字持续快速扩大,支撑经济发展由需要1.32倍的福建生态承载力变为需要2.66倍;碳吸收地在生态足迹结构中始终占据首位且呈快速扩大趋势,是福建生态赤字的主导因素;生态效率年均增长率大大低于地区生产总值年均增长率,目前福建生态效率还远低于主要发达国家。