Industrial waste management within manufacturing: a comparative study of tools, policies, visions and concepts

Industrial waste is a key factor when assessing the sustainability of a manufacturing process or company. A multitude of visions, concepts, tools, and policies are used both academically and industrially to improve the environmental effect of manufacturing; a majority of these approaches have a direct bearing on industrial waste. The identified approaches have in this paper been categorised according to application area, goals, organisational entity, life cycle phase, and waste hierarchy stage; the approaches have also been assessed according to academic prevalence, semantic aspects, and overlaps. In many cases the waste management approaches have similar goals and approaches, which cause confusion and disorientation for companies aiming to synthesise their management systems to fit their waste management strategy. Thus, a study was performed on how waste management approaches can be integrated to reach the vision of zero waste in manufacturing

An Assessment of Commodity Export Performance in South Pacific Countries, 1960 to 1999

We examine export performance and the factors influencing export growth in ten South Pacific countries, concentrating on the comparative influences of geographic endowments, policies and institutions. The countries under study are Cook Islands, Fiji, Kiribati, Niue, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu and Vanuatu. Only Fiji, Papua New Guinea and Solomon Islands experienced a positive trend in total commodity export values. Agricultural export values grew significantly only in Papua New Guinea and Solomon Islands. Most countries experienced growth in non-agricultural commodity export values, albeit from a low base. As a general rule, export performance was superior for countries with richer endowments of natural resources. Geographic factors associated with small size impeded export performance in small South Pacific countries, in particular. Evidence suggests that export performance was not improved by good policies unless those policies were properly implemented. To be satisfactorily implemented, they required soundly operating and effective institutions. Unfortunately, institutional performance deteriorated over the study period and was likely to have adversely affected export performance, particularly in the primary industries.International Relations/Trade,

Growth of Incumbent Firms and Entrepreneurship in Vietnam

This paper analyzes the relationship between the performance of incumbent firms and the net entry of new firms by combining different theoretical views of entrepreneurship. It shows that new knowledge and ideas created but not commercialized by incumbents are an important source of entrepreneurial opportunities for nascent firms. Different regression models to treat dynamics and endogeneity issues are applied to test the research hypothesis that growth of incumbent firms in a region will stimulate start-up activities by creating new profit opportunities for potential entrepreneurs. Vietnam’s regional micro-data from 2000 to 2008 are used for this test. Four controlling indicators – entrepreneurial demand, market structure, regional economic environment, and market innovativeness – are found to exert a statistically significant effect on new entries.

Technical Efficiency of Automobiles – A Nonparametric Approach Incorporating Carbon Dioxide Emissions

We conduct an empirical analysis of the technical efficiency of cars sold in Germany in 2010. The analysis is performed using traditional data envelopment analysis (DEA) as well as directional distance functions (DDF). The approach of DDF allows incorporating the reduction of carbon dioxide emissions as an environmental goal in the efficiency analysis. A frontier separation approach is used to gain deeper insight for different car classes and regions of origin. Natural gas driven cars and sports-utility-vehicles are also treated as different groups. The results show that the efficiency measurement is significantly influenced by the incorporation of carbon dioxide emissions. Moreover, we find that there is indeed a trade-off between technological performance and environmental performance.nonparametric efficiency measurement, directional distance function, automobiles, air pollution

Localized Innovation, Localized Diffusion and the Environment: An Analysis of CO2 Emission Reductions by Passenger Cars, 2000-2007

We investigate technological change with regard to CO2 emissions by passenger cars, using a Free Disposal Hull methodology to estimate technological frontiers. We have a sample of cars available in the UK market in the period 2000 – 2007. Our results show that the rates of technological change (frontier movement) and diffusion (distance to frontier at the car brand level) differ substantial between segments of the car market. We conclude that successful policies should be aimed at diffusion of best-practice technology, and take account of the different potential for further progress between different segments of the market (e.g., diesel and gasoline engines, and small vs. large engines).CO2 emissions by cars, technological change, diffusion of innovations

Industrial districts, innovation and I-district effect: territory or industrial specialization?

The I-district effect hypothesis establishes the existence of highly intense innovation in Marshallian industrial districts due to the presence of external localization economies. However, industrial districts are characterized by specific manufacturing specializations in such a way that this effect could be due to these dominant specializations. The objective of this research is to test whether the effect is explained by the conditions of the territory or by the industrial specialization and to provide additional evidence of the existence and causes of the highly intense innovation in industrial districts (I-district effect). The estimates for Spain of a fixed effects model interacting territory and industry suggest that the high innovative performance of industrial districts is maintained across sectors whereas the industrial specialization behaves differently depending on the type of local production system in which it is placed. The I-district effect is related to the conditions of the territory more than to the industrial specialization. The territory is a key variable in explaining the processes of innovation and should be considered a basic dimension in the design of innovation and industrial policies.industrial districts, innovation, external economies, district effect

Key Sectors. A New Proposal From Network Theory

The determination of key sectors (Perroux, 1955; Hirschman, 1958) has raised a long tradition of studies in the input-output field. Their analysis allows the identification of those sectors has a high effect in the demand and supply of the system and therefore, they constitute the basis of the growth and development of a territory. With the aim of standing out those sectors with a more relevant position in the economy, we propose from the network theory a definition of centrality that we consider it is new new in the input-output field. This definition is based in the consideration of three complementary characteristics: total effects, mediative effects and inmediate effects. These measures called for us multilevel indicators have the enormous advantage of allowing the comparison between structures of different size and approach the key sector concept thorough a relational and global view.

Trade Complexity and Productivity

We exploit a panel dataset of Hungarian firms merged with product-level trade data for the period 1992-2003 to investigate the relation between firms' trading activities (importing, exporting or both) and productivity. We find important self-selection effects of the most productive firms induced by the existence of heterogeneous sunk costs of trade, for both importers and exporters. We relate these sunk costs of trade to the relationship-specific nature of the trade activities, entailing a certain degree of technological and organizational complexity. We also show that, to the extent that imports and exports are correlated within firms, failing to control for the importing activity leads to overstated average productivity premia of exporters.Trade Openness, Firms' Heterogeneity, Productivity

Identifying and Measuring Technical Inefficiency Factors:Evidence from Unbalanced Panel Data for Thai Listed Manufacturing Enterprises

This study employs stochastic frontier analysis (SFA) and two-stage DEA approaches to predict firm technical efficiency and analyse an inefficiency effects model. Aggregate translog stochastic frontier production functions are estimated under the SFA approach using an unbalanced panel data of 178 Thai manufacturing enterprises listed in the Stock Exchange of Thailand (SET), covering the period 2000 to 2008. The maximum-likelihood Tobit model is used to conduct the second-stage of the two-stage DEA model to investigate the relationship between technical inefficiency and environmental variables. Both parametric and nonparametric approaches are found to produce consistent results. The empirical evidence from both approaches highlight that Thai listed manufacturing firms had been operating under decreasing returns to scale over the period 2000 to 2008. The SFA approach reports that technical progress decreased over time, and relied on labour input. Both estimation approaches suggest that leverage (financial constraints), executive remuneration, managerial ownership, exports, some types of listed firms (i.e., family-owned firm and foreign-owned firm), and firm size have a negative (positive) and significant effect on technical inefficiency (technical efficiency). The empirical results obtained from both approaches also suggest that liquidity, external financing, and research & development (R&D) have a significantly positive (negative) effect on technical inefficiency (technical efficiency)Stochastic Frontier Analysis (SFA); Data Envelopment Analysis (DEA);Technical Efficiency; Manufacturing; Thailand

Evaluation of Corporate Sustainability

As a consequence of an increasing demand in sustainable development for business organizations, the evaluation of corporate sustainability has become a topic intensively focused by academic researchers and business practitioners. Several techniques in the context of multiple criteria decision analysis (MCDA) have been suggested to facilitate the evaluation and the analysis of sustainability performance. However, due to the complexity of evaluation, such as a compilation of quantitative and qualitative measures, interrelationships among various sustainability criteria, the assessor’s hesitation in scoring, or incomplete information, simple techniques may not be able to generate reliable results which can reflect the overall sustainability performance of a company. This paper proposes a series of mathematical formulations based upon the evidential reasoning (ER) approach which can be used to aggregate results from qualitative judgments with quantitative measurements under various types of complex and uncertain situations. The evaluation of corporate sustainability through the ER model is demonstrated using actual data generated from three sugar manufacturing companies in Thailand. The proposed model facilitates managers in analysing the performance and identifying improvement plans and goals. It also simplifies decision making related to sustainable development initiatives. The model can be generalized to a wider area of performance assessment, as well as to any cases of multiple criteria analysis