Directional distance function (DDF) is a recognized technique for measuring efficiency while incorporating undesirable outputs. This approach allows for desirable outputs to be expanded while undesirable outputs are contracted simultaneously. A drawback of the DDF approach is that the direction vector to the production boundary is fixed arbitrarily, which may not provide the best efficiency measure. Therefore, this study extends the previous framework of efficiency analysis to introduce a new slacks-based measure of efficiency called the scale directional distance function (SDDF) approach. This new approach determines the optimal direction to the frontier for each unit of analysis and provides dissimilar expansion and contraction factors to achieve a more reasonable eco-efficiency score. This new approach is employed to measure the eco-efficiency of the Malaysian manufacturing sector. In addition, the paper demonstrates the use of the new approach to establish target values for the reduction/expansion of outputs in order for the inefficient DMUs to achieve full eco-efficiency. The results indicate that Melaka, Pulau Pinang, Negeri Sembilan, Sabah, Sarawak and Labuan have attained full eco-efficiency while Terengganu is the least ecoefficient. The overall eco-efficiency of the manufacturing sector in Malaysia is 80.5 % with wide variations across the states.
A total norm of τ-adic non-adjacent form occurring among all element of ℤ(τ): An alternative formula AIP Conference Proceedings 1795, 020002 (2017) Abstract. Bank industry plays a vital role in a country's economic development. In the banking industry, the nonperforming loans which are acknowledged as being undesirable outputs and usually ignored in most of the analysis should be taken into account since they are undesirable by-products of producing loans and may lead to the bank inefficiency. Modelling the efficiency measurement without undesirable outputs can provide misleading results and unfair assessment. The Directional Distance Function (DDF) approach which extended from the Data Envelopment Analysis (DEA) framework is one of the enhancement efficiency approaches to handle a situation when there is a joint production of the desirable and undesirable outputs. The comparison of both results between the domestic and foreign banks shows that the DEA technical efficiency score for domestic banks is marginally higher than the Malaysian foreign banks. However, when incorporating the undesirable output, the DDF technical efficiency for foreign banks is slightly higher than domestic banks.
Non-Revenue Water (NRW) is water losses in the distribution process and it affects water supply management worldwide. Malaysia is not excluded and the authority has put a high priority on NRW as it affects the revenue collection. Consequently, NRW is established as one of the Key Performance Indicators (KPIs) to assess the efficiency of Malaysia water supply industry. However, the current policy is impractical; the assessment of all the water utilities is against a single NRW target. Moreover, NRW should be considered as an undesirable product in the water supply system. Therefore, an alternative to Data Envelopment Analysis (DEA)-based approach called Directional Distance Function (DDF) is applied to measure the performance of the integrated production of desirable and undesirable outputs. The result shows that the measurement of water technical efficiency is more explicit using DDF model, where the potential reduced level of NRW for each inefficient water utility can be determined in order to improve their performance. This is in line with the government’s aim to reduce the NRW level countrywide.
Purpose: The impact of the Covid-19 outbreak since March 2020 has put Malaysia’s logistics sector in a contrasting reality to other sectors, as during the implementation of the movement control order (MCO), this sector was declared as providing essential service and allowed to operate in order to fulfil customers’ needs. This study aims to assess the efficiency and productivity of the logistics industry in Malaysia before and during the pandemic so that the performance of this industry can be observed.Design/methodology/approach: This study uses secondary data. Yearly records from the annual reports for the period of 2010–2020 were gathered pertaining to 15 Malaysian logistics companies treated as decision making units (DMUs) in this study. The efficiency and productivity of the Malaysian logistics industry during the Covid-19 pandemic have been assessed by using a hybrid DEA model consisting of a combination of epsilon-based measure (EBM) and Malmquist index.Findings: Findings showed that Lingkaran Trans Kota Holdings Berhad was the most efficient and productive logistics company with an average efficiency score of 1 and 12.7% growth in the average productivity index during the study period. In contrast, MISC Berhad obtained the lowest average efficiency score of 0.285. Nevertheless, the average productivity index for MISC Berhad showed an increase by 25.7%. During the early outbreak of Covid-19, Complete Logistics Services Berhad achieved full efficiency and also attained the highest positive growth of 76.2%. Harbour-Link Group Berhad was the least efficient company, scoring an efficiency score of only 0.254 and a decline in productivity growth by 40.8%.Research limitations/implications: The data used in this study may not be sufficient to represent the performance of the entire logistics industry as the pandemic is still not completely over. More useful insights can be obtained if the data can be extended until 2022 to assess the performance of logistics companies after the outbreak of Covid-19 in Malaysia. Many resources that have not been explored in this study and past research may provide an avenue for further research on the performance measurement of logistics companies, particularly in the Malaysian context.Practical implications: This study’s discovery may be used to facilitate the evaluation of resource utilisation and help inefficient logistics companies maximise their efficiency. Also, the findings may be used to help policymakers evaluate the existing policy in order to ensure that logistics companies have sufficient resources to offer reliable and efficient courier services.Originality/value: Although numerous studies have been conducted on the efficiency measurement of logistics companies, so far, scarce research in Malaysia has deployed a quantitative approach to measure the performance of Malaysia’s logistics industry, especially during the Covid-19 pandemic. Therefore, this study fills this gap by assessing the efficiency and productivity of the logistics industry in Malaysia before and during the pandemic of Covid-19.
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