Search results

Based on the background of enterprise digital transformation, this paper aims to examine the impact of digitization on the cooperative behavior and environmental performance of green technology innovation.

By constructing a model of quantity competition between the two enterprises, this paper examines the impact of digitization on the cooperative behavior and environmental performance of green technology innovation from the micro level. It uses Shanghai and Shenzhen A-share-listed companies as research samples. An unbalanced panel data set from 2011 to 2018 was constructed to empirically test the effect of digital transformation on the environmental performance of enterprises.

The findings reveal the following. First, digital transformation can significantly improve the environmental performance of enterprises. Second, green technological innovation sharing plays an intermediary role between digital transformation and enterprise environmental performance. Third, when the level of digitization is high, the sharing effect of green technology innovation brought about by digital technology is stronger and enterprises tend to carry out cooperative green technology innovation. Lastly, the level of development of regional science and technology finance plays a positive regulatory role in digital transformation and enterprise environmental performance.

This paper first proposes that green technology innovation-sharing is an important mechanism that can significantly improve enterprises' environmental performance. The authors empirically examine the mechanism and analyze the heterogeneity of the impact of digitalization level on enterprises' environmental performance. The authors also discuss the moderating effect of regional technology and finance development levels on the relationship between digitalization and enterprises' environmental performance.

This paper aims to develop a simple model for estimating sustainable development goals index using the capabilities of artificial neural networks.

Sustainable development has three pillars, including social, economic and environmental pillars. Three clusters corresponding to the three pillars were created by extracting sub-indices of three 2018 global reports and performing cluster analysis on the correlation matrix of sub-indices. By setting the sustainable development goals index as the target variable and selecting one indicator from each cluster as input variables, 20 artificial neural networks were run 30 times.

Artificial neural networks with seven nodes in one hidden layer can estimate sustainable development goals index by using just three inputs, including ecosystem vitality, human capital and gross national income per capita. There is an excellent similarity (>95%) between the results of the artificial neural network and the sustainable development goals index.

Instead of calculating 232 indicators for determining the value of sustainable development goals index, it is possible to use only three sub-indices, but missing 5% of precision, by using the proposed artificial neural network model.

The study provides additional information on the estimating of sustainable development and proposes a new simple method for estimating the sustainable development goals index. It just uses three sub-indices, which can be retrieved from three global reports.

This study aims to examine exergy efficiency of engines and entropy performances at the flight process. In addition, the improvements that can be achieved in the system with the effective parametric controls of the engine have been evaluated in terms of both efficiency and entropy in the system.

According to the flight characteristics of the engine, the altitude-dependent irreversibilities and their environmental effects were discussed with two developed indicators, energy performance indicator (EPI) and sustainability indicator (SI).

According to the results of both indicators, the energy efficiency potential of the engine during the flight process was found to be 15.02%, while the fuel-based efficiency potential was 18.84%.

It is limited by the flight process of a Turboprop engine.

The management tools and criteria of entropy are very difficult model studies. The study offers an evaluable approach based on two basic criteria developed for engines.

In monitoring and review of entropy management related to fossil fuel technologies, key indicators developed can be used as benchmarks for managing emission sources

The two basic indicators developed can be used as monitoring measurement tools of sustainable energy and environmental performances for engines and applications.

The purpose of this paper is to revise, update and extend the economic vulnerability and economic resilience indices, where economic vulnerability is associated with inherent exposure to external shocks and economic resilience with policies that enable a country to minimize or withstand the negative effects of such shocks. This study also proposes a revised vulnerability/resilience framework to assess the risk of a country being harmed by external economic shocks.

The methodology used in the study involves defining economic vulnerability in terms of inherent features of an economy and defining economic resilience in terms of policy-induced changes, and then devising measureable indices to measure such vulnerability and resilience across countries. The exercise required the examination of various global indices to assess their suitability, in terms of relevance and country coverage, for measuring the vulnerability index and the resilience index and the components of the two indices.

The main finding of the study is that a number highly vulnerable states, including economically successful small island economies, emerged with high resilience scores, suggesting that they adopt policies that enable them to withstand the harmful effects of external shocks. This possibly explains why these states register relatively high GDP per capita, in spite of their high exposure to shocks. On the other hand, a number of countries, mostly large and poor developing countries, that are not highly exposed to external shocks due to their limited dependence on external trade, emerged with a low degree of policy-induced economic resilience.

The study utilized global indicators which sometimes had missing data and these had to be filled in using approximations based on assumptions, and alternative assumption could have produced a different approximations. In addition the classification of countries in terms of the vulnerability and resilience nexus depended highly on many underpinning assumptions, including the definitions and the measurement of the components, the weighting schemes and the thresholds used. It is likely that alternative assumptions would yield alternative classifications.

An important practical implication of this study is that highly economically vulnerable states can reduce the harmful effects of external economic shocks if they adopt policies that lead to resilience building. On the other hand, countries that are not highly exposed to external shocks, can render themselves economically unstable due to their weak economic, social and environmental governance.

This study considers social development and cohesion as one of the pillars of resilience building. The implication of this approach is that social governance, leading to improvements in the education and health of the population could reduce the harm arising from a country’s exposure to external shocks. This is because social governance affects the extent to which relations within a society are properly developed, enabling an effective functioning of the economic apparatus without the hindrance of civil unrest.

This study has extended previous work on the vulnerability and resilience framework, to include almost all countries of the world, using updated data, and has revised the resilience index to include environmental governance. It has also redefined market flexibility to allow for the downsides of excessive financial riskiness. The revision of vulnerability and resilience indices in the light of new data and their interaction showed more convincingly that economies that are highly economically vulnerable could still register economic success as a result of resilience-conducive policies associated with good economic, political, social and environmental governance.

Given the relevance of supply chain sustainability, the aim of the present paper is threefold: first, to investigate the strategies currently undertaken by companies in the supply chain sustainability arena, and, second, to find out which phase of the supply chain is at the forefront in the implementation of initiatives towards more sustainable supply chains. Finally, the criteria commonly used for priority‐setting amongst different initiatives within the same supply chain phase are identified.

A three‐pronged methodology was adopted. First, a framework was developed to identify the initiatives towards supply chain sustainability. Second, the framework was applied to a set of multinational companies by examining their environmental reporting, thus to assess the adoption of each initiative. Third, a further in‐depth investigation of three companies was finally performed in order to provide additional insights on the obtained results.

The research offers a benchmark of primary multinational companies with respect to the supply chain sustainability initiatives and their level of adoption.

The examined set of companies, although representative (i.e. the analysed companies operate in industries in which the environmental concern is particularly critical), is limited. However, the present paper contributes to the knowledge on supply chain sustainability and captures variations in theory, paving the way for new research.

The paper provides an instrument to evaluate and compare companies in terms of supply chain sustainability and highlights the main challenges that companies have to confront.

The originality of the paper lies in the adoption of a supply chain perspective to investigate sustainable initiatives.

This paper seeks to examine the importance of corporate social and environmental initiatives to extractive sector firms and by measuring the level of social, environmental and economic sustainability in 128 countries around the world and applying these measures to a framework comprised of a sustainability indices matrix, and identifying certain strategic approaches to social and environmental practices.

The matrix contains eight categories of sustainability attainment and a k‐means cluster analysis is employed to identify what countries belong to each of these categories and to what extent these clusters identify countries with similar characteristics that may impact the focus of corporate social and environmental performance practices for extractive sector firms wishing to pursue projects in those countries.

The study finds that, in those jurisdictions where social and environmental sustainability is well established, extractive sector firms are required to deal with established rules and regulations that require a more reactive strategic approach. The various combinations of sustainability levels amongst the many countries around the globe require various combinations of strategies related to corporate social and environmental performance.

The realization that, today, extractive sector firms who choose to ignore the need for appropriate corporate social and environmental performance are risking increased costs arising from social and environmental damage created by their projects supports the need to create pro‐active strategies for addressing social and environmental responsibility.

This paper's contribution is the development of a framework for measuring the component levels of sustainable development and clustering a large number of countries into specific categories with recommended approaches to social and environmental sustainability strategies.

Corporate environmental expenditure has been a growing concern in recent years, yet mixed findings exist regarding its economic impact. The purpose of this paper is to explain the mixed relationship between environmental expenditure and economic performance from the natural-resource-based view.

Using Global Reporting Initiative survey data from 120 firms in 30 countries, this study uses PROCESS, a path-based analysis software, to test the moderation and mediation hypotheses in an integrated analytical model.

The findings show that environmental expenditure has a negative impact on economic performance through pollution prevention capability. In contrast, environmental expenditure has a positive impact on economic performance through product stewardship capability. Both effects are significantly strengthened when the firm is located in an environmentally munificent country.

This study intends to inform firm managers, especially those in environmentally munificent countries, to relocate their environmental expenditure to enhance firms’ economic performance. In particular, firms should focus more on the reduction of input, such as raw materials, energy, and water, instead of output, including emissions, effluents, and wastes.

The contrasting indirect effects of pollution prevention and product stewardship offer a viable explanation for the mixed findings in the existent literature on environmental expenditure from a new perspective.

Adopting more sustainable and social-oriented perspectives is crucial for the emergence of the so-called humane entrepreneurial ecosystems (HEEs), the last ones supporting the improvement of both economic, environmental and social wealth. Entrepreneurs act as keystone players in each entrepreneurial ecosystem, thus the emergence of Humane Entrepreneurship (HumEnt) is crucial in shaping HEEs. Given the role of culture in affecting HumEnt, the relationships between Humane Orientation (HO) – as defined in the GLOBE project – and the basic components of Humane Entrepreneurship (HumEnt) were, particularly, explored in a selected sample of countries. Both Intellectual Capital (IC) and knowledge management (KM) perspectives were adopted in pursuing the research goal.

The study approaches this by the mean of the Ward method with Euclidean squared distance and the k-means method. The GLOBE project, the Global Entrepreneurship Monitor (GEM), the Environmental Performance Index (EPI) and the International Social Survey Program (ISSP) were used as data sources. Correlations between HO “as is” scores and each components of HumEnt were checked for the world sample (N = 36), as well as for the groups of innovation-driven countries (N = 17) and European countries (N = 14).

Research results show a conditional confirmation of the developed hypotheses, depending on countries cultural levels of HO, with a moderating role exercised by the economic development on the relationship between culture and HumEnt.

Given the increasing pressure of fundamental societal challenges, such as climate change, poverty and increasing inequality within and between countries intensified by pandemic (UN report, 2021), integrating the more traditional approaches to profit seeking with the more sustainable and human-centric perspective is a priority for both scholars and society at large. Previous researches do not provide explanation about the contextual factors responsible for the emergence of more humane-oriented entrepreneurial ecosystems, especially when referring to culture. This article broadens our understanding about the reason why both HumEntr and HEEs differently arise and develop in different cultural contexts.

The purpose of this paper is to examine the impact of green supply chain management (GSCM) on environmental performance (EP) and export performance in the context of a developing country, Jordan. In addition, the mediating effect of EP on the relationship between GSCM and export performance is investigated.

The study is based on survey data collected from 221 manufacturing companies in Jordan. The companies were selected from different industry types to ensure diversity. Validity and reliability analyses were performed using SPSS and Amos, and structural equation modeling was used to test the study hypotheses.

The results revealed that GSCM positively and significantly affects both EP and export performance. In addition, the results demonstrated that EP positively and significantly affects export performance. Further, it is also found that EP positively and significantly mediates the relationship between GSCM and export performance.

The current study is one of the first to investigate the impact of GSCM on export performance, especially in the context of a developing country. In addition, this study contributes to the existing literature by highlighting the mediating effect of EP on GSCM—export performance relationship. GSCM is an under-investigated area in Jordan. The results are expected to promote GSCM implementation among manufacturing companies in Jordan in order to achieve economic benefits by increasing their exports through improvements in EP.

As a consequence of rapid urbanisation and globalisation, cities have become the engines of population and economic growth. Hence, natural resources in and around the cities have been exposed to externalities of urban development processes. This paper introduces a new sustainability assessment approach that is tested in a pilot study. The paper aims to assist policy‐makers and planners investigating the impacts of development on environmental systems, and produce effective policies for sustainable urban development.

The paper introduces an indicator‐based indexing model entitled “Indexing Model for the Assessment of Sustainable Urban Ecosystems” (ASSURE). The ASSURE indexing model produces a set of micro‐level environmental sustainability indices that is aimed to be used in the evaluation and monitoring of the interaction between human activities and urban ecosystems. The model is an innovative approach designed to assess the resilience of ecosystems towards impacts of current development plans and the results serve as a guide for policy‐makers to take actions towards achieving sustainability.

The indexing model has been tested in a pilot case study within the Gold Coast City, Queensland, Australia. This paper presents the methodology of the model and outlines the preliminary findings of the pilot study. The paper concludes with a discussion on the findings and recommendations put forward for future development and implementation of the model.

Presently, there is a few sustainability indices developed to measure the sustainability at local, regional, national and international levels. However, due to challenges in data collection difficulties and availability of local data, there is no effective assessment model at the micro‐level that the assessment of urban ecosystem sustainability accurately. The model introduced in this paper fills this gap by focusing on parcel‐scale and benchmarking the environmental performance in micro‐level.