Sustainability of Nations

SUMMARY

A method is presented to interrelate the development of economy, environment and social quality in communities. Economy and environment, in initial development stages, oppose each other. Social welfare and economy generally develop simultaneously. To assess overall progress in sustainable development, an integrated and quantifiable framework is presented which defines five levels of sustainability. Increasing sustainability is characterized by growing responsibility for the impacts of man's actions in space and time. Through increased eco-efficiency and changed awareness, nations and companies arrive at a synergistic relationship between environment and economy. It is indicated that social security benefits expenditure increases by a factor 3.5 and carbon dioxide emissions per capita decreases by a factor 3 at each higher level of sustainability. Quantified differences in sustainability levels of 24 nations are shown. Priorities for improving and safeguarding sustainability are indicated.     

Prevention in the chemical and process industries: Future directions

This paper presents the current trends of future-oriented prevention management in the chemical-using industry. Two concepts leading to the next generation of managing prevention within chemical industrial areas are explained and discussed. The first concept concerns integrated design-based safety and security; the second concerns the collaboration of several chemical plants to increase sustainable development of their activities and their environment.     

Comparative network analysis toward characterization of systemic organization for human–environmental sustainability

A preliminary study in comparative ecological network analysis was conducted to identify key assumptions and methodological challenges, test initial hypotheses and explore systemic and network structural characteristics for environmentally sustainable ecosystems. A nitrogen network for the U.S. beef supply chain – a small sub-network of the industrial food system analyzed as a pilot study – was constructed and compared to four non-human carbon and nitrogen trophic networks for the Chesapeake Bay and the Florida Everglades. These non-human food webs served as sustainable reference systems. Contrary to the main original hypothesis, the “window of vitality” and the number of network roles did not clearly differentiate between a human sub-network and the more complete non-human networks. The effective trophic level of humans (a partial estimate of trophic level based on the single food source of beef) was much higher (8.1) than any non-human species (maximum of 4.88). Network connectance, entropy, total dependency coefficients, trophic efficiencies and the ascendency to capacity ratio also indicated differences that serve as hypotheses for future tests on more comprehensive human food webs. The study elucidated important issues related to (1) the steady state assumption, which is more problematic for industrial human systems, (2) the absence or dearth of data on contributions of dead humans and human wastes to feed other species in an integrated food web, (3) the ambiguity of defining some industrial compartments as living versus non-living, and (4) challenges with constructing compartments and trophic transfers in industrial versus non-human food webs. The two main novel results are (1) the progress made toward adapting ecological network analysis (ENA) methodology for analysis of human food networks in industrial cultures and (2) characterizing the critical aspects of comparative ENA for understanding potential causes of the problems, and providing avenues for solutions, for environmental sustainability. Based on this work, construction and comparative network analysis of a more comprehensive industrial human food network seems warranted and likely to provide valuable insights for modifying structures of industrial food networks to be more like natural networks and more sustainable.     

Predicting national sustainability: The convergence of energetic,economic and environmental realities

The “constraint space” dictated by energetic, economic and environmental realities on scenarios for future organization of humanity and nature is explored from the perspective of the energy and resources driving economies. Net energy of energy sources is presented as an index (Emergy Yield Ratio; EYR) that must be evaluated for energy sources to better understand their potential contributions to society, but more important, as an indicator of the changes needed in the future if lower net yielding sources are to be relied upon. An aggregate EYR was calculated for the USA economy and shown to have decreased by 38% since 1950, from 11/1 to 6.8/1. Several measures of efficiency at the scale of national economies are explored and the data suggest that the most efficient economies are also the most energetically intense (as measured by empower intensity). An index of environmental loading is suggested as a measure to evaluate environmental efficacy. An obvious outcome is that the smallest most energetically intense countries have the highest environmental loads, and those with large land area and/or continental shelves have the lowest ratios. An Emergy Sustainability Index (EmSI) is defined, computed for countries, and proposed as a multi-dimensional measure of long-term sustainability. The most sustainable economies are those with the highest EYR and lowest environmental loads.     

Spatial aggregation and the value of natural capital

Location matters for the value of capital assets. The value of changes in natural capital wealth can depend on whether natural capital asset prices are measured locally and then aggregated or whether average values are applied over aggregate representative areas. Spatial heterogeneity of resource characteristics and institutions impact approximations of the intertemporal welfare function and accounting price function because when spatial aggregation precedes valuation it implies greater arbitrage opportunities leading to more inelastic shadow (accounting) price functions than when valuation is done locally and then aggregated. Aggregation of observed values across varying resource and institutional characteristics can lead to omitted variables bias. We illustrate these results in the context of groundwater in the Kansas High Plains Aquifer and demonstrate that the accounting price function is less elastic when the accounting price is measured locally. Failure to measure locally and then aggregate could lead to undervaluing scarce resources and overvaluing plentiful ones, which biases wealth accounts in favor of passing the non-declining wealth sustainability test.     

Corporate Social Responsibility (CSR) practices developed by Brazilian companies: an exploratory study

In a world where companies have major influence over the economy, politics, and environment, they must be held accountable for their actions. With this in mind, the publication of sustainability reports is in a company’s best interest, since the disclosure of Corporate Social Responsibility (CSR) and sustainable practices can bring enormous advantages, largely related to a company’s image. The amount of information presented in sustainability reports turns them into valuable sources for research data, allowing analyses related to CSR and management practices, stakeholder relations, language used, among others. However, there is no a paper in the literature that analyzes theses information jointly for the Brazilian companies, and then we decided to explore this theme. This research aimed to identify advances and gaps of CSR practices performed by Brazil companies, through the analysis of 30 sustainability reports published between 2014 and 2015. The main findings indicate that, in general, the analyzed companies are experienced in sustainability reporting; however, there is still room for improvements, including a better mapping and reporting of practices involving the integration of CSR to organizational structure, stakeholder engagement, and continuous improvement practices.     

Greening the structural change process: ranking sustainability of countries in climate change

This paper proposes an analytical toolkit to measure the sustainability of industrialization across countries. Drawing from a methodology developed to analyze economic development as a process of modernization, it ranks countries on the basis of the emissions they produce and their stage of development. The proposed index penalizes environmental pressures taking into account the modernization level of a country. The paper also proposes an assessment of the environmental performance of countries at the same level of modernization. It introduces the notion of policy space as the difference between the best and worst environmental performer at a given level of modernization. An important finding of the paper is that the magnitude of the policy space is not homogenous across different levels of income and environmental targets.     

Conceptualizing and incorporating social sustainability in the business world

One of the most important challenges faced by business managers today is the integration of sustainability into their core functions. The contemporary enterprise is forced to leap forward from the mere adoption of green practices toward rethinking, redesigning, and redeveloping business practices in a more sustainable way. Most of the initiatives in this attempt have so far emphasized primarily the economic and environmental aspects of sustainable development and overlooked the social dimension of sustainability. As more organizations commit to sustainability, there is an increasing concern to incorporate social sustainability throughout their business operations. To conceptualize and integrate the notion, some organizations use preexisting indicators to demonstrate the value and impact of sustainability, while others look beyond the measurement of impacts by constructing their own system of indicators. This paper draws on a comprehensive literature review to determine a broadly acceptable framework of social sustainability indicators to be conceptualized and integrated into the business world. Findings suggest that economic and environmental sustainability can be driven together with core social factors including fairness and equality, poverty, health, education, delinquencies, demography, culture, and employee engagement within an organization. These results offer insight into the emerging phenomenon of formulating sustainable business strategies for organizations based on social indicators to attain the ultimate sustainable outcomes. This study is among the first to identify social sustainability indicators from societal and corporate perspectives. It offers a comprehensive social sustainability framework that may be adopted by organizations in the business world.     

ToSIA—A tool for sustainability impact assessment of forest-wood-chains

Within the forest sector, the sustainability concept has evolved from a narrow focus on sustainable wood production to a much broader evaluation of environmental, social, and economic sustainability for whole value chains. A new software tool - ToSIA - has been developed for assessing sustainability impacts of Forest-Wood-Chains (FWCs). In the approach, FWCs are defined as chains of production processes (e.g. harvesting-transport-industrial processing), which are linked with products (e.g. a timber frame house). Sustainability is determined by analysing environmental, economic, and social sustainability indicators for all the production processes along the FWC. The tool calculates sustainability values as products of the relative indicator values (i.e. indicator value expressed per unit of material flow) multiplied with the material flow entering the process. Calculated sustainability values are then aggregated for the segments of the FWC or for the complete chain. The sustainability impact assessment requires carefully specified system boundaries. ToSIA uses a data-oriented approach that is very flexible in the focus of the analysis and the selection of indicators of sustainability. An example of alternative Norway spruce management systems in Southern Germany and their effects on six sustainability indicators is presented. The less intensive management system with natural regeneration and motor-manual harvesting shows higher carbon storage and slightly less energy use. It creates more employment and higher labour costs, but the average rate of accidents is also higher. ToSIA offers a transparent and consistent methodological framework to assess sustainability impacts in the forest-based sector as affected, e.g. by changes in policies, market conditions, or technology. The paper discusses strengths and limitations of the approach and provides an outlook on further development perspectives of the methodology.     

Sustainability assessment of entire forest value chains: Integrating stakeholder perspectives and indicators in decision support tools

The optimization of value chains is an important process to promote sustainable development, since value chains are closely linked to the satisfaction of human needs and combine different driving forces for environmental change. This article presents a methodological approach for the participatory development of value-chain wide sustainability indicator sets and their integration into a decision support tool in the specific case study of the chain “construction and refurbishment with wood”. There are numerous indicator sets for sustainable development of forests and sustainable forestry available at different levels, ranging from local, regional and national to global scale assessments. Some efforts were also made to integrate later production stages of forest value chains (such as wood processing) in the assessment scope (e.g. for chain-of-custody certification). However, no indicator set has so far been available covering environmental, social and economic aspects for the entire value chain of building with timber. This gap was closed through applied sustainability research in the project “Holzwende 2020: Sustainable future markets for wood in the building sector”.