Energy Productivity Analysis

2020 ◽  
pp. 471-498
Author(s):  
Moncef Krarti
Keyword(s):  
Productivity Analysis ◽  
Energy Productivity

scholarly journals Energy productivity analysis framework for buildings: a case study of GCC region

Energy ◽  
2019 ◽  
Vol 167 ◽  
pp. 1251-1265 ◽  
Author(s):  
Moncef Krarti ◽  
Kankana Dubey ◽  
Nicholas Howarth
Keyword(s):  
Productivity Analysis ◽  
Analysis Framework ◽  
Energy Productivity

An empirical study on productivity analysis of Indian leather industry

2019 ◽  
Vol 26 (3) ◽  
pp. 815-835 ◽  
Author(s):  
Sandeep Kumar Gupta ◽  
Shivam Gupta ◽  
Pavitra Dhamija
Keyword(s):  
Tamil Nadu ◽  
Resource Dependence ◽  
Resource Dependence Theory ◽  
Resource Conservation ◽  
Productivity Analysis ◽  
Factor Productivity ◽  
Leather Industry ◽  
Energy Productivity ◽  
Content Type ◽  
Partial Factor

Purpose It is essential to track the development of resource and pollution intensive industries such as textile, leather, pharmaceutical, etc., under burgeoning pressure of environmental compliance. Therefore, the purpose of this paper is to analyze the progress of Indian leather industry in terms of individual factors and total factor productivity. Design/methodology/approach This study applies and examines the various concepts of productivity such as labor productivity, capital productivity, material productivity and energy productivity. Further, it assesses and compares the performance of Indian leather industry in Tamil Nadu (TN), West Bengal (WB) and Uttar Pradesh (UP) based on productivity analysis, spatial variations determinants in productivity and technology closeness ratio. Findings The findings suggest that as per the productivity analysis, WB leather clusters have performed remarkably better in terms of partial factor productivity and technical efficiency (TE), followed by TN and UP. This can be attributed to shifting of leather cluster of WB to a state-of art leather complex with many avenues for resource conservation. Further, the findings reveal that the firm size and partial factor productivities have significant positive correlation with TE which supports technological theory of the firm. Practical implications The results of this study can be useful for the policy makers associated with the Indian leather industry especially to design interventions to support capacity building at individual firm level as well as cluster level to enhance the efficiency and productivity of overall industry. Social implications The findings also support the resource dependence theory of firm according to which the larger size firms should reflect on resource conservation practices, for instance the concept of prevention is better than cure based upon 3R (reduce, recycle and reuse) principles. Originality/value The paper gives an explanation of the productivity in the leather industry in terms of its factor productivity and TE.

Multiple-Benefit Analysis of Scaling-Up Building Energy Efficiency Programs: The Case Study of Tunisia

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Moncef Krarti
Keyword(s):  
Energy Efficiency ◽  
Scale Up ◽  
Cost Effective ◽  
Scaling Up ◽  
Building Energy Efficiency ◽  
Productivity Analysis ◽  
Energy Productivity ◽  
Building Stock ◽  
Existing Building ◽  
Wide Range

Abstract This paper evaluates the benefits of scaling-up energy efficiency and renewable energy programs for the building sector in Tunisia. Both energy and non-energy benefits are quantified using a bottom-up analysis approach to assess economic, environmental, and social impacts of a wide range of energy policies targeting new and existing Tunisian building stocks. The investments required to scale-up programs set to improve the energy efficiency performance of existing building stocks are determined in order to assess both their cost-effectiveness and their impact on the overall energy productivity of Tunisia's economy. The energy productivity analysis is performed to account for both energy and non-energy benefits of building-integrated energy efficiency programs. The energy productivity analysis clearly shows that retrofitting existing building stock has several benefits for Tunisia including reduction of the national energy consumption as well as improvement of the country's overall economy energy efficiency. However, only basic retrofit programs are found to be cost-effective for the private sector to implement with discounted payback periods of less than 5 years. Combined with improving the energy efficiency of new and existing buildings, the installation of rooftop photovoltaic systems for households can significantly lower reliance of Tunisia on imported fuels and improve the energy productivity of its overall economy.

scholarly journals Measuring Energy Efficiency in Kerala: Data Envelopment Analysis

2019 ◽  
Vol 6 (4) ◽  
pp. 16-28
Author(s):  
Vijayamohanan Pillai N ◽  
AM Narayanan
Keyword(s):  
Data Envelopment Analysis ◽  
Energy Use ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
Parametric Approach ◽  
Factor Productivity ◽  
Energy Productivity ◽  
Efficiency Measures ◽  
Non Parametric

Traditionally, there are two basically reciprocal energy efficiency Indicators: one, in terms of energy intensity, that is, energy use per unit of activity output, and the other, in terms of energy productivity, that is, activity output per unit of energy use. The enquiry that has proceeded from the problems associated with this method of a single energy input factor in terms of productivity has led to multi-factor productivity analysis. We have here two approaches: parametric and non-parametric. Parametric approach famously includes two methods: the erstwhile popular total factor energy productivity analysis and the currently fanciful stochastic frontier production function analysis; The non-parametric approach is popularly represented by data envelopment analysis. The present paper is an attempt to measure efficiency in electrical energy consumption in Kerala, India. We apply the non-parametric mathematical programming method of data envelopment analysis of the multi-factor productivity approach, and estimate the efficiency measures under the two scale assumptions of constant returns to scale (CRS) and variable returns to scale (VRS); the latter includes both increasing (IRS) and decreasing returns to scale (DRS). Scale efficiency measures are also given to find out whether a firm is operating at its optimal size or not, implying degrees of capacity utilization.

scholarly journals Investigation of Feller-Buncher Performance Using Weibull Distribution

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 284
Author(s):  
Ebru Bilici
Keyword(s):  
Weibull Distribution ◽  
Shape Parameter ◽  
B Value ◽  
Productivity Analysis ◽  
Volume Data ◽  
Estimation Model ◽  
Distribution Method ◽  
Timber Volume ◽  
C Value ◽  
The Right

With the advancement of technology in forestry, the utilization of advanced machines in forest operations has been increasing in the last decades. Due to their high operating costs, it is crucial to select the right machinery, which is mostly done by using productivity analysis. In this study, a productivity estimation model was developed in order to determine the timber volume cut per unit time for a feller-buncher. The Weibull distribution method was used to develop the productivity model. In the study, the model of the theoretical (estimated) volume distributions obtained with the Weibull probability density function was generated. It was found that the c value was 1.96 and the b value was 0.58 (i.e., b is the scale parameter, and c is the shape parameter). The model indicated that the frequency of the volume data had moved away from 0 as the shape parameter of the Weibull distribution increased. Thus, it was revealed that the shape parameter gives preliminary information about the distribution of the volume frequency. The consistency of the measured timber volume with the estimated timber volume strongly indicated that this approach can be effectively used by decision makers as a key tool to predict the productivity of a feller-buncher used in harvesting operations.

scholarly journals Energy budget and carbon footprint in a wheat and maize system under ridge furrow strategy in dry semi humid areas

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Changjiang Li ◽  
Shuo Li
Keyword(s):  
Carbon Footprint ◽  
Energy Budget ◽  
Agricultural Development ◽  
Energy Use ◽  
Cropping System ◽  
Energy Output ◽  
Net Energy ◽  
Energy Productivity ◽  
Carbon Efficiency ◽  
Net Returns

AbstractThe well-irrigated planting strategy (WI) consumes a large amount of energy and exacerbates greenhouse gas emissions, endangering the sustainable agricultural production. This 2-year work aims to estimate the economic benefit, energy budget and carbon footprint of a wheat–maize double cropping system under conventional rain-fed flat planting (irrigation once a year, control), ridge–furrows with plastic film mulching on the ridge (irrigation once a year, RP), and the WI in dry semi-humid areas of China. Significantly higher wheat and maize yields and net returns were achieved under RP than those under the control, while a visible reduction was found for wheat yields when compared with the WI. The ratio of benefit: cost under RP was also higher by 10.5% than that under the control in the first rotation cycle, but did not differ with those under WI. The net energy output and carbon output followed the same trends with net returns, but the RP had the largest energy use efficiency, energy productivity carbon efficiency and carbon sustainability among treatments. Therefore, the RP was an effective substitution for well–irrigated planting strategy for achieving sustained agricultural development in dry semi-humid areas.

Sign in / Sign up

Export Citation Format

Share Document