A threefold empirical analysis of the relationship between regional income inequality and water equity using Tapio decoupling model, WPAT equation, and the local dissimilarity index: evidence from Bulgaria

Taşbaşı, Aslı

doi:10.1007/s11356-020-10828-7

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…Combining natural gas consumption changes, elasticity coefficient, and GDP, we can subdivide the decoupling types into eight situations, shown in Table 1 . 47 …”

Section: Methodsmentioning

confidence: 99%

“…Combining natural gas consumption changes, elasticity coefficient, and GDP, we can subdivide the decoupling types into eight situations, shown in Table 1. 47 The decoupling relationship between economic growth and natural gas consumption is calculated by the decoupling elasticity index, but this index cannot be used to study specific factors affecting the decoupling state. While LMDI model has the opposite attribute, which can be applied to analyzing the influence of specific factors on natural gas consumption, without a decoupling relationship.…”

Section: Decoupling Model For Natural Gas Changementioning

confidence: 99%

See 1 more Smart Citation

Driving factors and decoupling analysis of natural gas consumption in major Organization for Economic Cooperation and Development countries

Guo

Wang

et al. 2023

Science Progress

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Natural gas is regarded as the main transition energy under the carbon-neutral strategy and its main consumers are Organization for Economic Cooperation and Development countries, accounting for 44.5% of world consumption in 2021. In order to investigate the effects of technology, industry, and regions on natural gas consumption, 12 major Organization for Economic Cooperation and Development countries from three different country groups were selected in this paper to explore the consumption change. Firstly, the Logarithmetic Mean Divisia Index model is adopted to find out the driving factors. Then, the Tapio model is used to consider the decoupling state between natural gas consumption and economic growth. The results can be concluded as follows: (a) From 2000 to 2020, the technological progress effect has the biggest values of −148.86, followed by the industrial structure effect and the regional scale effect, with values of − 37.04 and 29.42, respectively. (b) From the perspective of industry view, these three effects have the largest impact on the secondary industry, followed by the tertiary industry and primary industry; (c) the regional scale effect has a positive effect on most countries, and the industrial structure effect and the regional scale effect have a negative effect on most countries; (d) the decoupling state vary differently in countries with different groups. Therefore, we concluded two policy recommendations for nature gas reduction: (a) Technological innovation is the most effective way for reducing natural gas consumption; (b) Industrial structure optimization can help save natural gas consumption.

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“…Combining natural gas consumption changes, elasticity coefficient, and GDP, we can subdivide the decoupling types into eight situations, shown in Table 1 . 47 …”

Section: Methodsmentioning

confidence: 99%

Section: Decoupling Model For Natural Gas Changementioning

confidence: 99%

Driving factors and decoupling analysis of natural gas consumption in major Organization for Economic Cooperation and Development countries

Guo

Wang

et al. 2023

Science Progress

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“…The types of decoupling can essentially be divided into coupling, decoupling, and negative decoupling. In addition, according to the elasticity coefficient, the change of water usage and the change of GDP, the decoupling types can be subdivided into eight cases (Table 1) [45]. The water usage growth rate is lower than the economic growth rate.…”

Section: Decoupling Modelmentioning

confidence: 99%

China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis

Guo

Liu

et al. 2022

Applied Sciences

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As the most populous country in the world, China has a great shortage pressure of water resources. With the acceleration of urbanization, China’s water usage in different sectors will change significantly in next few years. In order to investigate the main reasons behind water usage change in China, the Logarithmic Mean Divisia Index (LMDI) model was adopted in this paper from 2000 to 2020 with provincial data. Three effects, including that of technology, industrial structure, and regional scale, were analyzed. In addition, the decoupling effect between water usage and economic growth was also considered. The results show that: (1) from 2000 to 2020, the technological effect, industrial structure effect, and regional scale effect are −376.54, −89.85 and 20.66, respectively; (2) the technical effect and industrial structure effect have the greatest impact on primary industry, followed by secondary industry; (3) the technical effect is greater than the industrial structure effect in most provinces; and (4) the decoupling state gradually changes from weak decoupling to strong decoupling. In the future, the key policy recommendations for water saving are the following: (1) technological innovation has the most efficient effect on the reduction of water usage in China, and (2) the optimization of industrial structure can be helpful in water-saving in the future.

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“…Femia and Luks [11] established a policy framework for the overall strategy of decoupling ecological sustainability from individual well-being at the application level, pointing out the limitations of traditional environmental policies from the perspective of sustainability. Most scholars have studied the decoupling between economic growth and resource consumption at the national and local levels: Tasbasi [12] used the WPAT equation to measure the effects of population, income, and intensity on water demand in the Balkans. Yousaf [13] and Climation and Pardo [14] studied the decoupling between economic growth and resource consumption from national or regional perspectives.…”

Section: Introductionmentioning

confidence: 99%

“…Second, as water, energy, and food are interrelated resources, changes in one or more variables will be transmitted to others, which makes the changes of all variables to have evolutionary characteristics. Compared with other methods for evaluating decoupling [12,18] which have limitations of incomplete classification and insufficient quantitative information, the Tapio model can finely measure the decoupling degree [22], which provides a certain advantage of judging the evolution process of the decoupling status. Third, considering the fact that the Logarithmic Mean Divisional Index (LMDI) can decompose all factors without residual error [23,24], it is used to quantitatively analyze the influence of variables on resource consumption [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Driving Factors of Decoupling between Economic Development and Water Consumption in Food and Energy in North-West China—Based on the Tapio-LMDI Method

Pan

Fang

Chen

et al. 2021

Water

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The shortage of water resources has become a notable bottleneck, restricting the economic development of many countries and areas around the word, especially that of North-west China. The Inner Mongolia Autonomous Region and Shaanxi Province are important energy bases and food production areas in North-west China. However, the region is suffering from perennial drought and water shortage, which has become the most significant shortcoming for energy and food production. Guiding the decoupling between regional economic development and water consumption is a critical way to achieve sustainable development. Based on the analysis of the food and energy production value and their water consumption in North-west China from 2009 to 2019, this paper uses the Tapio model to analyze the decoupling relationship between food, energy production, and water consumption, and uses the Logarithmic Mean Divisional Index (LMDI) model to analyze the driving factors affecting decoupling. The results show that most water consumption for food and energy production in North-west China is out of the ideal strong decoupling, the decoupling status is unstable, and re-coupling occurs frequently. The increase in water intensity and the change in industrial structure are the promoting factors of decoupling between production value and water consumption in food and energy in North-west China, while the increase in production value and population size are the main restraining factors. Therefore, in pursuit of strong decoupling, the government should guide the food and energy industry to move toward implementing in water saving measures through policies and promote the enthusiasm and efficiency of the labor force through financial support and other ways. Moreover, ecological protective measures are needed to be strengthened, such as water source protection, and sewage treatment.

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A threefold empirical analysis of the relationship between regional income inequality and water equity using Tapio decoupling model, WPAT equation, and the local dissimilarity index: evidence from Bulgaria

Cited by 10 publications

References 10 publications

Driving factors and decoupling analysis of natural gas consumption in major Organization for Economic Cooperation and Development countries

Driving factors and decoupling analysis of natural gas consumption in major Organization for Economic Cooperation and Development countries

China’s Water Intensity Factor Decomposition and Water Usage Decoupling Analysis

Driving Factors of Decoupling between Economic Development and Water Consumption in Food and Energy in North-West China—Based on the Tapio-LMDI Method

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