The effect of forestry on energy efficiency in EU countries: A non‐oriented dynamic slack‐based data envelopment analysis

Abstract

According to the Paris Agreement signed on 12 December 2015, forests have great impact on controlling CO2 emissions. This study uses the nonoriented dynamic slack‐based data envelopment analysis model to evaluate the impact of a forestry area on the annual and overall energy efficiency in 28 EU countries during 2009‐2016. We found that annual and overall energy efficiency improved slightly and the energy efficiency in each country also changed when the forestry area was used as the output variable. Although the total energy consumption has declined slowly, CO2 emissions have not declined effectively. Thus, it will be challenging for the EU to meet its target of cutting CO2 emissions by 30% by 2030. All countries should take additional measures, such as energetically increasing forestry areas, optimally distributing the labor force among industries, and gradually replacing fossil fuels with renewable energy to improve their energy efficiency.

The Impact of Technological Dynamics and Fiscal Decentralization on Forest Resource Efficiency in China: The Mediating Role of Digital Economy

“…Furthermore, it incorporates the forestry output value as output. This technique is consistent with prior research conducted by (Neykov et al, 2021; Lu et al, 2021) [46,47]. For details see Table 1.…”

“…Accordingly, in accordance with prior scholarly investigations, we have employed four discrete inputs and outputs to assess forest resource efficiency, as outlined in Table 1. The term "forest area" refers to a broad expanse of land that is specifically designated for forestry production, hence indicating the allocation of resources towards the manage- [46,47]. For details see Table 1.…”

Assessing dynamic energy efficiency in the organization for economic Co-operation and development (OECD) countries and China during COVID-19

“…Lu et al (2021) [19] used SBM to assess the impact of forest areas on annual and overall energy efficiencies in 28 EU countries between 2009 and 2016, and the results showed that including forest area leads to annual and overall energy efficiencies growth of. Although overall energy consumption has gradually declined, carbon dioxide emissions remain problematic.…”

The superefficiency direction distance function and total factor energy efficiency: Evidence from the comprehensive and progressive agreement for trans‐pacific partnership (CPTPP) member countries

“…Institutional policies are effective for all factories, and the efficiency of large power plants may have much room for improvement. Lu et al's 29 article focuses on the issues of unintended output and minimization of energy consumption. Focusing on the 28 administrative regions with the largest energy‐saving potential in China from 2000 to 2006, It is found that the average industrial energy efficiency in the eastern region is the highest, followed by the central region; The main reason for a large amount of energy waste is that the pure technical efficiency is too low in the industrial production process in most areas, resulting in a large amount of waste of energy.…”