INTERTEMPORAL EFFICIENCY AND PRODUCTIVITY CHANGING ON TELECOMMUNICATION INDUSTRY (TI) IN ASEAN-5

The study aims to measure the technical and intertemporal efficiency and find the primary source of productivity change on top three telecommunication firms in each country of ASEAN-5 (Indonesia, Malaysia, Thailand, Philippines, and Singapore) from 2010 to 2016. Data Envelopment Analysis (DEA) bootstrapping with 2000 iterations, DEA window, and Malmquist index are applied to calculate technical efficiency, intertemporal efficiency, and productivity change. The estimation results elucidate that, on average, the technical efficiency of firms is relatively low. On the opposite, the intertemporal efficiency results indicate that the mean efficiency score of each window is high. However, the LDW and LDP tend to be high, showing that the efficiency scores fluctuate. The Malmquist index calculation yields that technological progress possesses a significant contribution to productivity change.Keywords: Technical Efficiency, Intertemporal Efficiency, Productivity Change, Telecommunication Industry, ASEAN-5 JEL Classifications: L8, F6, O5, O1, O3

COMPARING THE INTERTEMPORAL EFFICIENCY OF ISLAMIC BANKS IN INDONESIA AND MALAYSIA

This study aims to measure and compare the intertemporal efficiency of Islamicbanks in Indonesia and Malaysia using data envelopment analysis (DEA) togetherwith window (intertemporal) analysis for the period 2012–2018 and applying anintermediation approach. Window analysis is used to indicate the stability of efficiencyover the study period. The findings show that the intertemporal technical efficiency(TE) of Islamic banks in Indonesia was 77.4% with stability score of 0.034, which wassignificantly more efficient and more stable than Malaysian banks at 75.1% withstability score of 0.169. Moreover, the the intertemporal pure technical efficiency(PTE) of Islamic banks in Indonesia was 91.7% with stability score 0.020, which wasalso significantly more efficient and more stable than Malaysian banks at 88.0% PTEand stability score of 0.161. In contrast, the intertemporal scale efficiency (SE) ofIslamic banks in Indonesia was 84.5%, slightly lower than that of Malaysian banks at85.3% but not significantly different. PTE improvement has contributed to TEimprovement, while SE has not reached an optimal level. Comparison to previousresults also showed that since the global financial crisis the PTEs of Islamic banks inIndonesia and Malaysia have improved while SEs have worsened. Therefore, effortsto improve SE by expanding the size of Islamic banks to reach optimum economiesof scale are urgently needed.

Intertemporal Efficiency Analysis of Indonesian Sharia Commercial Bank after Spin off Period 2013-2017: Data Envelopment Analysis (Window Analysis)

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Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis

This study uses the dynamic data envelopment analysis model to evaluate the intertemporal efficiency and the executive efficiency based on fossil fuel CO2 emissions in European Union countries. European Union countries in pursuit of economic growth, taking into account the growth of gross domestic product may result in increased CO2 emissions, countries in order to reduce CO2 emissions to meet the target of the UN climate change conference in Paris 2015, in pursuit of gross domestic product growth and CO2 emission reduction targets. Whether the reduction of CO2 emissions will affect the overall efficiency of the country’s economic growth or not will make gross domestic product a major consideration in carryover variables in this study. This paper analyzes data of 28 selected European countries dating from 2009 to 2013 to study the effects of the undesirable output to the energy efficiency ranking. The variables in the model are the input variables: labor force, real capital stock, and energy consumption and the output variable is the undesirable output of fossil fuel CO2 emissions. In the model, the carryover intermediate activity is real gross domestic product. After the Paris Protocol formally replaced the Kyoto Protocol in 2015, the emphasis of this study is on the future state’s pursuit of economic growth, the gross domestic product as a variable in terms of intertemporal efficiency and using CO2 as a variable of undesirable output to analyze the relationship between national economic development and the greenhouse gas emissions for getting a policy indicator of the environmental protection and economic development.

Should climate change make us think more about the economics of forest management?

Forest management agencies have budget constraints and continually face difficult questions regarding how much to invest in silviculture and when to harvest forests. Economic thought suggests these decisions should be guided by the pursuit of economic efficiency and tools like net present value (NPV) analysis. In forestry this would make use of the so-called Faustmann model and generally result in shorter rotation ages than the Maximum Sustained Yield (MSY) criterion, which is often used as a policy objective in forest management. The two approaches have caused tension and controversy between foresters and economists. Climate change is adding yet another uncertainty dimension to the forest management challenge. Global climate models suggest massive changes in climate this coming century that will surely affect forests. Here we use climate change as a backdrop to compare the MSY and Faustmann results for black spruce (Picea mariana) and white pine (Pinus strobus) in Ontario. Climate change is adding new risks to silvicultural investments. Our intent is not to “resolve” the management problem but highlight some issues and differences between the two approaches. We suggest that climate change could, or should, cause a resurgence of the debate over pursuit of intertemporal efficiency in forest management.