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Domestic supports on Turkish agriculture have substantially increased over the past decade while empirical evaluation of their output impact is limited. Also, the existing literature often neglects potential spatial spillover effects of agricultural policies or subsidies. The purpose of this paper is to quantify the direct and spillover effects of Turkish agricultural domestic measures and agricultural credits use on the added agricultural value.

This study applied a spatial panel model incorporating spatial interactions among the dependent and explanatory variables to evaluate the impact of government support and credit on Turkish agricultural output. A provincial data set of agricultural output values, input factors and government subsidies from 2004 to 2014 was used to model the spatial spillover effects of government supports.

Results show that a one percent increase in agricultural credits in a given province leads to an average increase of 0.17 percent overall in agricultural value-added per hectare, including 0.05 percent from the direct effect and 0.12 percent from the spillover effect. Contrary to agricultural credits, a one percent increase in government supports in a province generates a mixed direct and spillover effects, resulting in an overall reduction of 0.13 percent in agricultural value-added per hectare in Turkey.

This study could be extended by controlling for climate, biodiversity and investment factors to agricultural output in addition to input and policy factors if such data were available.

This study fills the gap in the literature by determining the total effect, including direct and spatial spillover effect, of domestic supports and credits on Turkish agricultural value. The findings provide crucial information to decision makers regarding the importance of incorporating spatial spillover effects in the design of agricultural policy.

This study aims to investigate environmental efficiency based on energy change by using energy-related or nonenergy-related variables by reckoning with months and years as decision-making units (DMUs) for a hospital under radial and nonradial models.

The non-oriented slack-based measures (SBM)-data envelopment analysis (DEA) model considering desirable and undesirable outputs has been embraced in this study, where its obtained results were compared with the results of other DEA models are output-oriented SBM-DEA and Banker, Charnes, & Cooper-DEA. For this purpose, this research has used a data set covering the 2012–2018 period for a reference hospital, which includes energy-related and nonenergy-related variables.

The results demonstrate that environmental efficiency based on energy reached the highest level in the winter months, whereas the summer months have the lowest efficiency values arising from the increasing electricity consumption due to high cooling needs. According to results of the non-oriented SBM model, the month with the highest efficiency in all periods is January with a 0.936 average efficiency score, the lowest month is August with a 0.406 value.

This paper differs from other studies related to energy and environmental efficiencies in the literature with some aspects. First, to the best of the authors’ knowledge, this study is the first one that takes into account time periods (months and years) as (DMUs for a single organization. Second, this study investigates environmental nonefficiencies, which are derived from energy uses and factors affecting energy use.

Corporate social responsibility (CSR)¹ has become such an important and popular concept along with the rise of the importance of sustainable development (SD) in the world. Nowadays, CSR is focused on goals such as poverty reduction and SD. It has become clear to the business world that SD is no longer only the concern of governments and related non-governmental organisations (NGOs), and that they should also immediately start becoming concerned about the sustainability of resources and human development along with their financial sustainability. In this sense, establishment of multi-stakeholder dialogues and partnerships among all these actors has also become extremely important.

Glass is a brittle material produced from silica, which has fine material properties, Owing to its sophisticated material properties, glass has found wide application in various high-technological fields such as aviation, aerospace, communication, optics, biomedical and electronics. However, glass is known as difficult to machine material because of its tendency to brittle fracture during machining. This paper aims to investigate the effects of cutting parameters on surface quality and machining time during micro-milling of brittle glass components.

A comprehensive genetic algorithm-based optimization strategy is used for selection of process parameters such as cutting speed, feed rate and depth of cut. Effectiveness of the proposed strategy is validated by conducting micro-milling cutting experiments on soda-lime glass material.

Results showed that the generated surface quality drastically decrease with increase in the amount of removed material. Lower depth of cut and feed rate result in less amount of cracks formed on machined surface. Also, it is observed that the increase in cutting speed results in better surface quality. Having desired surface quality in shorter machining time directly reduces energy consumed during manufacturing, which is reducing environmental impact of glass parts.

The novelty of this research work lies in simultaneously considering the effects of cutting speed, feed rate, depth of cut on surface quality and machining time for micro-milling operation of brittle glass material. The model is able to find optimum process parameters for high surface quality and minimum machining time.

This paper seeks to review the reasons for which Saddam's regime intended to destroy and eliminate Kuwait's entire oil infrastructure before and after the Iraqi invasion of Kuwait. The underestimation of oil wells that would be torched by Iraqi forces is also discussed in this paper.

To approach the scope of this paper, the intentions and the practical evidence of such sabotage are pointed out. Efforts to rescue Kuwait's oil wells in addition to planning for the expected catastrophe are highlighted. The plausible reasons that made such underestimation unclear are elaborated.

The instructions included in the Iraqi documents showed undoubtedly that the sabotage operation was not a random last‐minute attempt to destroy the oil wells, but it was a carefully supervised and well planned endeavor to completely destroy Kuwait's oil infrastructure. Owing to those efforts and planning, more than 100 oil wells were rescued throughout Kuwait. Due to such underestimation Kuwait suffered severe losses both to its oil industry and to its ecological system.

Since the reasons for the lower estimates of oil wells, torched by Iraqi troops, to a maximum of 100‐150 wells were unclear, this paper attributes Kuwait's economic losses and environmental degradation to such underestimation and suggests more investigations on this issue.

Kuwait's catastrophe brought the attention to environmental concerns that should receive immediate consideration, while the scorched‐earth tactic applied in Kuwait and the resulting environmental disaster led to a positive reaction by the international community and spawned a new environmental treaty at the regional level.

This is the first paper that addresses the underestimation of Kuwait's oil disaster. The conflagration in Kuwait demonstrated the danger in conducting large‐scale modern combat in an environmentally fragile area, and shows how exposed all oil‐producing nations are to this type of environmental and economic disaster in the future.

The purpose of this study is to investigate the effect of electron beam surface melting (EBSM) on the properties of Plasma Transfer Arc (PTA) deposited Stellite 12 hardfacing.

For this purpose, structural characterization and dry sliding wear tests have been conducted on the hardfacings at room temperature. The wear tracks formed on the surfaces of the hardfacings were examined by a stylus-type profilometer and a scanning electron microscope.

Refinement of the matrix and the carbides following EBSM process led to about 15 per cent increment in hardness as compared to PTA state. Despite an increase in the surface hardness, EBSM’ed hardfacing exhibited about 50 per cent lower sliding wear resistance than PTA hardfacing against alumina ball. According to the worn surface examinations, reduction in the wear resistance of Stellite 12 after EBSM process has been associated with the extensive refinement of the carbides which made them easier to be removed from the matrix during the sliding contact.

The authors of current study have applied EBSM to PTA deposited Stellite 12 hardfacing alloy to investigate if the surface structure and properties could be improved. More specifically the dry sliding wear performance of PTA and EBSM’ed hardfacings have been focused in the scope of this study. To the best of the authors’ knowledge, this approach, i.e. use of EBSM as a post deposition treatment of Stellite 12 hardfacings, has not been reported in open literature.

Higher education institutions, particularly in developing countries, are striving for superior innovation performance to cope with the challenges of contemporary educational environment. Drawing on the knowledge management capability model and knowledge-based view of firms, this study aims to determine the impact of knowledge management enablers, namely, top management knowledge value, knowledge-oriented culture and knowledge-based rewards, on innovation speed and quality and assessing the mediating role of knowledge sharing process.

Data are collected from 234 academics of higher education institutions in Pakistan and analyzed through the partial least squares structural equation modeling technique.

The results indicate that top management knowledge value and knowledge-based rewards have a positive effect on innovation speed and quality. Although knowledge-oriented culture also contributes to innovation quality, it does not influence the innovation speed. Moreover, the knowledge sharing process mediates the effect of all these knowledge management enablers on innovation speed and quality.

This study underscores the importance of three key knowledge management enablers in higher education institutions. The findings of this study suggest that signaling knowledge value from the top management, fostering knowledge-oriented culture and enacting a knowledge-based reward system are critical in facilitating knowledge sharing process and enhancing innovation speed and quality in higher education institutions.

This is among one of the earlier studies that investigates the influence of top management knowledge value, knowledge-oriented culture and knowledge-based rewards on innovation speed and quality, particularly in higher education institutions, and determines the mediating role of the knowledge sharing process.

The main problem addressed by this research is the current debate between the negative and positive effects of industrial clusters. This debate is a result of gaps between theoretical implications and empirical evidence in both the classical agglomeration theory and the agglomeration lifecycle theory. The purpose of this study is to propose a framework for developing an index measuring both organizational cluster involvement and organizational supply chain including the three pillars (economic, social, and environmental). Furthermore, the index acts as a quantitative predictor of the stages of the life cycle of industrial clusters. Adopting a case study methodology, the applicability of the index development framework is demonstrated. First, cross-sectional exploratory interviews are performed to locate items measuring the three pillars of organizational sustainability within Egyptian communication industry. Second, an explanatory, cross-sectional approach is applied gathering data from eight professionals related to involvement and supply chain sustainability of their organizations. Analytical hierarchical process is used for weighting and aggregating individual item metrics into two indicators (Saaty, 1980). Measuring, managing, and controlling capabilities of organization's supply chains outweighs the need to manage risks. The proposed framework aids firms within a cluster in making timely decisions about what needs addressing to improve supply chain sustainability performance. Hence, all environmental, social, and economic capabilities can be effectively monitored and controlled.