Measurement of Dematerialization/Materialization

Sun, Jingchao; Meristö, Tarja

doi:10.1016/s0040-1625(98)00041-9

Cited by 30 publications

(5 citation statements)

References 12 publications

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“…The research results indicated that energy intensity is influenced by capital formation, and this influence increases with the increase in sector output. Sun & Meriso [29] constructed a conceptual framework based on materialization and non-materialization and established a relatively complete decomposition model to measure energy efficiency. A statistical analysis was conducted on the Rasberg Index of OECD countries from 1960 to 1995, resulting in the annual average energy efficiency and skill potential of OECD countries.…”

Section: Energy Consumption Efficiency Evaluation and Dea Methodsmentioning

confidence: 99%

A Study on the Measurement of Regional Energy Consumption Efficiency and Decomposition of Its Influencing Factors in China: New Evidence for Achieving SDGs

Miao,

Wu,

Ren

2024

Energies

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With the growth of global population and economic development, people are facing the problem of increasing scarcity of renewable energy and unsustainable energy use. To achieve the sustainable development goals (SDGs) proposed by the United Nations, research on energy consumption efficiency has become particularly important. This research evaluates the energy consumption efficiency of 270 cities in China through an improved EBM model and finds a common phenomenon of low energy consumption efficiency in the cities, with the highest efficiency in northeast China and the lowest efficiency in eastern China. In addition, the efficiency of industrial exhaust emissions most significantly positively correlates with the efficiency of employed population and total energy consumption efficiency, while the efficiency of regional GDP does not significantly correlate with the efficiency of the two input variables. Using the LMDI method to decompose the driving factors of energy consumption efficiency in the cities, we find that the most important factor affecting energy consumption efficiency is their own energy endowment. Therefore, to improve the energy consumption efficiency of its cities, the China government should comprehensively consider factors such as regional economic development level, industrial structure, and technological level differences, formulate relevant energy-saving and emission-reduction policies, focus on optimizing the energy consumption structure, encourage technological progress and innovation, and help increase investment in science and technology.

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Section: Energy Consumption Efficiency Evaluation and Dea Methodsmentioning

confidence: 99%

A Study on the Measurement of Regional Energy Consumption Efficiency and Decomposition of Its Influencing Factors in China: New Evidence for Achieving SDGs

Miao,

Wu,

Ren

2024

Energies

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“…According to the residual value of the joint production and equal contribution principle [52], the formula can be rewritten as follows: …”

Section: Model Specificationsmentioning

confidence: 99%

Decomposition of Fertilizer Use Intensity and Its Environmental Risk in China’s Grain Production Process

et al. 2018

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Abstract:In order to fully explore the fertilizer use intensity and its potential threats to the ecological environment, this paper has studied the decomposition of fertilizer use intensity and its environmental risk in China's grain production. Based on the statistical data collected from 10 provinces during 2004-2015 in China's grain producing areas, this paper has analyzed the effect of fertilizer use intensity from a regional perspective. The environmental risk assessment model considers some factors such as the fertilizer application safety thresholds use efficiency, multiple cropping index, and environmental impact weight. The fertilizer application safety thresholds are calculated on the target output of local food crops. The results show that: (1) during 2004-2015, the fertilizer use intensity shows an increasing trend in China's grain producing areas, and the intensity is significantly higher than the upper limit of the international safety fertilization; (2) the cumulative contribution rate of the increase of fertilizer use intensity caused by regional fertilizer use efficiency and grain planting structure adjustment are 57.03% and 1.81% respectively; (3) in 2015, China's grain producing areas' environmental risk index of phosphorus and potash was low, with the values in these two provinces being quite different and indicating the characteristics of aggregation and distribution. Therefore, the Chinese government should unswervingly encourage the application of some technology that could save fertilizer and increase efficiency, establish environmental risk monitoring and control systems, and improve relevant policies and regulations.

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“…The empirical study of dematerialization has been performed by different authors with different methodologies. Many of these studies have been developed in the frame of the previously mentioned EKC (Agras and Chapman, 1999;Luzzati and Orsini, 2009;Richmond and Kaufmann, 2006;Stern and Cleveland, 2004;Suri and Chapman, 1998;Zilio and Recalde, 2011, among others), through the study of the evolution of the energy intensity (Goldemberg and Siqueira Prado, 2011;Rühl et al, 2012;UNEP, 2011), by econometric studies on different absolute variables (Bernardini and Galli, 1993;Sun, 2003;Sun and Meristo, 1999) and by more novelty methodologies such as the decomposition analysis, which includes the structural decomposition analysis (SDA) and index decomposition analysis (IDA) (Ang, 2004;Ang and Zhang, 2000;Hoekstra and van der Bergh, 2003;Su and Ang, 2012, among others).…”

Section: Literature Reviewmentioning

confidence: 99%