Creation of climate-smart and energy-efficient agriculture in the European Union: Pathways based on the frontier analysis

Creation of the climate-smart agriculture requires efficient resource use and mitigation of the environmental pressures among other objectives. Therefore, it is important to assess the energy efficiency and productivity growth in the European Union's agriculture. This paper analyses the sample of the selected European Union member states. The productive technology including the energy consumption and the resulting greenhouse gas (GHG) emission is constructed. The measurement of the energy efficiency and productivity change relies on the slacks-based measure and Luenberger productivity indicator. The productivity growth was decomposed with respect to the input/output variables and the sources of growth (i.e., efficiency change and technical progress). The average annual productivity growth of 0.79% was obtained for the selected countries during 1995–2016. The highest productivity gains were observed in Lithuania, Denmark, Belgium and Romania (1.27%–1.94% per year). The productivity growth related to GHG emission dominated the contributions by the input/output variables in Lithuania, Denmark, Belgium, Romania, Poland, Austria, France, the Netherlands, Hungary and Estonia.     

The path to renewable energy consumption in the European Union through drivers and barriers: A panel vector autoregressive approach

Renewable energy consumption brings sustainable economic growth and pollution reduction. Despite the worldwide increase in renewable energy consumption, global energy-related carbon dioxide emissions are rising and there are still considerable differences in the share of renewable energy consumption in national energy portfolios. These concerns require further effort at the policy level, especially by countries that make extensive use of energy imports. These countries could improve their lack of energy independence by using renewable energy sources and leveraging a few factors to facilitate their transition. This study aims to investigate renewable energy consumption drivers, focusing on the role of socio-technical (rather than economic) aspects such as policy stringency, lobbying, public awareness, and education. We employ a panel vector autoregressive model in first differences to test the complex dynamic relationships among renewable energy consumption, policy stringency, lobbying, public awareness, and education, controlling for variables such as per capita income and import levels, for 12 European Union net energy importing countries. Results show that the positive income effect prevails in the influence of the level of carbon dioxide emissions (negative) on renewable energy consumption, despite the latter being more significant in countries with higher levels of education. Increasing energy needs push traditional sources towards complementarity with renewable energy consumption, implying a positive lobbying effect. Public awareness is not enough to facilitate the transition to renewable energy consumption. By contrast, policy stringency has positive direct and indirect effects on renewable energy consumption, suggesting that the approach adopted by the European Commission in the recent Green Deal is a step in the right direction. Moreover, as shown, policymakers are able, through renewable energy consumption, to generate a decrease in carbon dioxide emissions and electricity production from oil, gas, coal, and nuclear sources in the first instance, but also in net energy imports, even if at a later stage.     

Constructing an index for comparing human resources management sustainability in Europe

Assuming that a company's institutional context influences its sustainability approach and its human resources management (HRM), this article compares firms' sustainable HRM systems across countries. Despite the presence of a supranational government, different social models exist in Europe according to the level of social protection in each country. The article compares the engagement of companies with sustainable HRM across Europe and develops an index with which to compare HRM sustainability in countries that present significant institutional differences: Germany, Spain, Sweden, and the United Kingdom. The index is constructed based on a formative measurement model, which reflects the implementation levels of sustainable HRM in 106 western European firms. The index reveals significant differences between companies from the four countries and between liberal and coordinated market economies, indicating the need to address the impact of the national institutional context on firms' HRM sustainability.     

Examining the international internet using multiple measures: new methods for measuring the communication base of globalized cyberspace

This article examines the network structure of the international internet using four different sources of data: (1) bilateral bandwidth between countries; (2) hyperlink connections among nations’ domain names; (3) structural equivalence of nations from the perspective of websites, measured by the percentage of specific websites’ traffic from individual countries; and (4) structural equivalence of nations from the national perspective, using the proportion of a country’s 100 most-visited websites shared with other countries. Results indicate that the international internet network appears to consist of series of small worlds determined by language, geography, and historical circumstances. Therefore, one cannot depict the internet only through an examination of the hyperlink connections among nations. There is a need for multiple indicators to accurately describe the global internet.     

Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression

Parametric quantile regression is a useful tool for obtaining probabilistic energy forecasts. Nonetheless, traditional quantile regressions may be complicated to obtain using complex data mining techniques (e.g., artificial neural networks), since they are trained using a non-differentiable cost function. This article presents a method that uses a new nearest neighbors quantile filter to obtain quantile regressions independently of the data mining technique utilized and without the non-differentiable cost function. This method is subsequently validated using the dataset from the 2014 Global Energy Forecasting Competition. The results show that the method presented here is able to solve the competition’s task with a similar accuracy to the competition’s winner and in a similar timeframe, but requiring a much less powerful computer. This property may be relevant in an online forecasting service for which the fast computation of probabilistic forecasts using less powerful machines is required.     

Reorienting the Economy to the Rhythms of Nature: Learning to Live with Intermittent Energy Supply

In much current thinking about the necessary and rapid transition to a carbon-emissions-free energy system, there is implicit acceptance of the high-tech, high-energy nature of the current economy. But by asking deeper questions about this economy, we reveal new opportunities as well as new challenges. First, throughout most of history, both production and consumption were dramatically influenced by the weather, and activities were undertaken or curtailed according to varying availability of energy. In the future, if we again adjust energy demand to such intermittent supplies wherever and whenever possible, we can nevertheless benefit from many scientific and technological advantages that our ancestors did not have centuries ago. Second, in the pursuit of highly energy-efficient machines that might become new sources of highly concentrated energy, we have begun to rely on “clean energy” machinery made in significant part from non-recyclable materials. With our current generation of wind turbines, for example, we have sacrificed sustainability in the pursuit of a supposedly renewable-energy system. By contrast, if we reduce our need for always-on energy sources by adjusting energy demand to intermittent energy supply, we can greatly reduce the overall energy infrastructure needed, and we will face less pressure to sacrifice sustainability.     

Quantile regression for dynamic panel data with fixed effects

This paper studies a quantile regression dynamic panel model with fixed effects. Panel data fixed effects estimators are typically biased in the presence of lagged dependent variables as regressors. To reduce the dynamic bias, we suggest the use of the instrumental variables quantile regression method of Chernozhukov and Hansen (2006) along with lagged regressors as instruments. In addition, we describe how to employ the estimated models for prediction. Monte Carlo simulations show evidence that the instrumental variables approach sharply reduces the dynamic bias, and the empirical levels for prediction intervals are very close to nominal levels. Finally, we illustrate the procedures with an application to forecasting output growth rates for 18 OECD countries.     

Identifying the moderating influences of external environments on new product development process

Few studies have attempted to investigate the following: (1) whether the firm's core capabilities or resources and routines (e.g., integration among functions) for product development, in the presence of environmental dynamics, become incumbent inertia or core rigidities? and (2) how environmental dynamics affect the influence of a project team's implementation capabilities in the new product development (NPD) process on new product launch performance? This study approaches these questions by addressing the three most indispensable NPD process components (i.e., marketing, technology, and organization) and incorporating new moderators, namely pace of technological change and competitive intensity, within a single study. It specifically examines the extent to which the latter two external environmental variables moderate the impact of NPD practices on new product launch outcome. Data obtained from a survey of NPD projects developed and launched by Korean manufacturers suggest that environmental dynamics would reduce the contribution of functional-specific sources of advantage (resources) and project-specific sources of advantage (e.g., integration among functions) to organizational implementation capabilities (i.e., a project team's proficiency in executing NPD activities). Moreover, the research also shows that market dynamics may increase the contribution of organizational implementation capabilities to NPD project performance.     

Voluntary sustainability assurance in small and medium-sized entities: The role of country origin in Europe

The assurance of sustainability information by small and medium-sized entities (SMEs) has not attracted much research interest to date. To rectify this, we draw on a sample of European firms (from the EU, the United Kingdom and Norway) extracted from the Global Reporting Initiative (GRI) database and explore the disclosure variable in relation to country-specific factors. Assurance rates are found to be low among SMEs, and moreover, the level of disclosure is limited. The assurance market is dominated by accounting firms, above all by the Big Four. Legal origin is found to be a highly relevant factor, with Scandinavian countries presenting the highest percentage rates of sustainability report assurance. Among the cultural variables analysed, power distance, masculinity and uncertainty avoidance have a significant negative impact on the decision to assure sustainability information. Overall, the study serves to enhance understanding of SME practices in different countries of origin.     

Partial cross-quantilogram networks: Measuring quantile connectedness of financial institutions

We propose partial cross-quantilogram networks for measuring the connectedness of 30 China’s financial institutions at different quantiles. We find that networks at the extreme quantiles are more closely connected than those at the median quantile. The network density and centrality show that the systemically important financial institutions vary across different quantiles. We observe an asymmetric effect in quantile connectedness during the period of “2015–16 Chinese stock market turbulence;” that is, the network connectedness at the lower quantile (i.e., 0.05 quantile) is higher than that at the upper and median quantiles (i.e., 0.95 and 0.50 quantiles). By analyzing the similarity of networks across quantiles, we find that the similarity index is relatively high in the crisis period. Our study provides useful information on connectedness of financial institutions for regulators and investors.     

Harnessing Innovation for Change: Sustainability and Poverty in Developing Countries

To date, a well‐developed business perspective on how to promote sustainability for those in poverty is sorely lacking. For sustainability enhancing innovations in developing countries, poverty presents unique challenges. In this paper, we argue that if sustainability enhancing innovations introduced in developing countries are to stick, they need to be designed with local customers, networks, and business ecosystems in mind. We illustrate this view using case examples from mobile telephony, fuel efficient stoves, clean drinking water, and household electrification. Our paper underscores the need for today's managers to understand poverty as an integral part of the sustainability nexus and the new international business equation.     

太阳能光伏发电的设计应用

传统能源的使用导致国际能源危机及环境污染的问题日渐严重,光伏太阳能作为一种新型能源,备受许多国家和地区关注。如何在建筑产业合理利用太阳能光伏发电,对光伏产业的发展具有重要的意义。文章结合多年来国内外太阳能光伏发电的应用推广情况,参考相关国家、行业标准及技术文献,结合广西美术馆项目的实际情况,分析光伏发电的技术特点,对如何进行太阳能光伏发电的设计选行介绍,并总结了目前光伏太阳能发电的优缺点及未来发展趋势。     

Disentangling the drivers of renewable energy investments: The role of behavioral factors

The scope of this study is to investigate the main determinants of renewable energy investments in Greece. For this reason, we build an appropriate framework to infer the decision‐making process in the renewable energy sources (RES). The main drivers are then categorized under two groups as economic, and behavioral ones. In the next stage, we rely on binomial (logit and probit) and quantile regression analysis to estimate the impact of these factors on investment decisions towards RES. Our findings indicate that investors who gain better access to knowledge and exhibit a more positive attitude towards the contribution of artificial intelligence (AI) on the RES industry have a higher share of renewables in their portfolio. We argue that these investors are willing to invest a higher amount in the RES industry today. At the same time, quantile regression models illustrate that this relationship is nonmonotonic (i.e., inverted U shaped curve), arguing that positive attitudes towards the contribution of behavioral factors on RES are not adequate to encourage investments after crossing a certain point (threshold). Based on the empirical findings, we argue that the message to policymakers and government officials is to promote a faster penetration of low carbon technologies to achieve sustainable economic and social growth.     

Staffing effectiveness across countries: An institutional perspective

This study draws on institutional theory to investigate why and how staffing effectiveness varies across countries. Utilising data from multiple sources (Cranfield Network on Comparative Human Resource Management [CRANET], Global Leadership and Organisational Behaviour Effectiveness [GLOBE], World Economic Forum [WEF], Transparency International, Tightness-Looseness Index), it covers 2,918 organisations in 11 countries. Extending earlier research on comparative staffing that focuses on cultural or regulatory differences separately, our findings show that companies in different countries implement staffing practices in line with their normative (i.e., cultural), regulatory, and cognitive institutions. A second key finding shows that institutionally embedded staffing practices are associated with organisational turnover, thus challenging dominant universalist perspectives on staffing effectiveness. Finally, we shed light on a central yet understudied boundary condition of contextual perspectives on staffing by identifying the strength of institutional pressures (i.e., societal tightness-looseness) as a moderator of the relationships between national institutions, staffing, and turnover.     

Leverage and firm growth: an empirical investigation of gazelles from emerging Europe

The aim of the paper is to assess the impact of leverage on gazelles’ performance while controlling for firm characteristics, macroeconomic environment, and characteristics of domestic banking sectors. Using a sample of 1105 gazelles from Central, Eastern, and South-Eastern European (CESEE) countries for the period 2006–2014, we find that leverage negatively affects firm growth. The results prove to be robust regarding the use of different estimation approaches, alternatives variables for firm growth, and different sub-samples. Our results suggest that improving access to various sources and types of financing represents a key issue for supporting gazelles’ growth. We also find that macroeconomic environment and banking sector characteristics are important determinants of gazelles’ growth. The economic growth positively influences sales and total assets growth, while the effect of financial and economic development varied with the firm growth measure used. Our findings provide empirical evidence for the need of policy initiatives at national and European Union level to facilitate the growth of small businesses.

     

The skill profile of the employees and the provision of flexible working hours in the workplace: a multilevel analysis across European countries

This article investigates the relationship between the skill profile of the employees (i.e. the percentage of employees in highly skilled jobs) and the provision of flexible working hours in the workplace (i.e. the proportion of employees entitled to adapt, within certain limits, the time when they begin or finish their daily work according to their personal needs or wishes). Analyses draw on the 2009 European Company Survey, conducted on a representative sample (N = 26,640) of European establishments in 29 countries. Multilevel mixed‐effects linear regressions are used to study to what extent both workplace‐level and national‐level variables affect this relationship. Findings suggest a strong, positive and non‐linear relationship between the variables under scrutiny, which is moderated, at national level, by both unemployment and trade union density rates.     

Framing Sustainable Supply Chain Finance: how can supply chain sustainability practices and supply chain finance solutions be integrated?

Supply chain finance (SCF) can play a role in improving supply chain (SC) sustainability. That is why academics have started investigating the connection between SCF and sustainable SC management, and practitioners have begun developing new SCF solutions with a sustainable orientation. Although SCF solutions have been suggested as supporting tools for the diffusion of sustainability within SCs, academic contributions have only partially investigated sustainable SCF (SSCF). There is the need to understand in greater detail first, how different SC sustainability practices (e.g., supplier assessment, supplier development, incentives to suppliers, and third-party involvement) can be integrated into SCF solutions; second, how different brokerage roles can facilitate this integration to contribute to the successful implementation of an SSCF solution. This paper investigates those aspects through multiple international exploratory case studies. The results confirm that SCF solutions become sustainable by integrating different SC sustainability practices, either embedded in the SSCF solutions or reinforced by the implementation of the solutions. Moreover, involving new actors, including third-party information providers, NGOs, and certification bodies, who assume different brokerage roles, positively influences the development of SSCF solutions.     

Determining paths of innovation: The role of culture on the adoption on organic farming management

The aim of this paper is to understand whether national culture is linked with operative performance of organic agriculture. The ultimate goal is, indeed, to measure the impact of social change on technical innovation and sustainability issues. We built an econometric model where the impact of some of the six dimensions of national culture by Geert Hofstede is tested on inputs and outputs of organic production, on a country-based scale. We collected data about the evolution of organic agriculture through the last two decades, extracting data about 27 countries of the European Union from 2000 to 2017. We tested the dataset into two passages: we first employed a DEA model to assess efficiency of organic farming, and then we correlated results to Hofstede 6-D model of national culture. We observed the existence of a relationship between culture and innovation, explaining the importance of determined values in people's management within the firm. The operative performance of organic agriculture is linked to determined culturally influenced business values. We used efficiency results as variables for measuring innovation approach based on cultural models. It has been enhanced the relevance to the nexus innovation-culture approaching to one of the most innovation-resistant industrial sectors.     

Local structural quantile effects in a model with a nonseparable control variable

I consider a semiparametric version of the nonseparable triangular model of Chesher [Chesher, A., 2003. Identification in nonseparable models. Econometrica 71, 1405–1441]. The proposed model is linear in coefficients, where the coefficients are unknown functions of unobserved latent variables. Using a control variable idea and quantile regression methods, I propose a simple two-step estimator for the coefficients evaluated at particular values of the latent variables. Under the condition that the instruments are locally relevant (i.e. they affect a particular conditional quantile of interest of the endogenous variable) I establish consistency and asymptotic normality. Simulation experiments confirm the theoretical results.     

Advancing environmental productivity: Organizational mindfulness and strategies

This study investigates the importance of mindfulness‐based organization systems and policies on the organization's continuous efforts to become a greener company. The study is devised as a pooled cross‐sectional time series analysis of productivity in energy consumption, water utilization, and waste generation and recycling of U.S. companies. The data set taken from U.S. Newsweek 500 recorded 600 companies dispersed into 63 industries during the period of 2012–2014 and provided 1,498 company–industry–year observations. The study found that systems and policies (e.g., deployment of third‐party auditors for its environmental metrics report; linkage of the remuneration of company's senior executive team with the achievement of environmental performance targets; and establishment of a committee at the Board of Directors' level whose mandate includes sustainability of the company in environment‐ and resource‐related matters) connect the company's mindfulness to its effort in improving the environmental quality through the company's productivity in energy consumption, water utilization, and waste generation and recycling. The relationships are positive and significant. Also, systems and policies serve as a motivator for the firm to continue to improve upon the current achievements. The study emphasizes the importance of translating organizational and individual mindfulness into organization policies and systems in order to motivate the organization to continuously improve its productivity in energy consumption, water utilization, and waste generation and recycling leading to improvements in environmental quality.