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The gradual process of the development of my country's economic quality differentiation from 2013 to 2018.
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The extensive and unsustainable economic development has seriously hindered the friendly development of the economy. The economy pays more attention to the quality and quality of development and needs a way to evaluate economic development objectively. The study puts forward four first-level indicators and 12 second-level indicators for high-qualit...
Citations
... However, both prioritize the quality of economic development over its speed; the distinctions lie in the following: (i) The term "HQED" carries more nuanced connotations than "quality of EG," which primarily emphasizes the harmonization and coordination of quantity and quality; (ii) Over time, "HQED" has acquired a greater number of distinct attributes than "EG" (Ma et al. 2019). Therefore, there is need for a comparative analysis of EG and HQED in China given that with rapid economic development energy sustainability is compulsory (Feng 2024;Wang 2022). ...
... Economic development, as the contemporary societal objective, is more intimately tied to the lives of every individual citizen. An increase in the general populace's standard of living is possible with HQED (Wang 2022). Cooperation among multiple parties, support from national policy, public effort to utilize resources efficiently, enterprise production efficiency, modern expertise and knowledge, innovations, and patented technologies are all essential for economic development. ...
... Cooperation among multiple parties, support from national policy, public effort to utilize resources efficiently, enterprise production efficiency, modern expertise and knowledge, innovations, and patented technologies are all essential for economic development. Each of these activities operates in concert to produce HQED, which subsequently diminishes the EIS relative to the EG of an economy (Wang 2022). The 14th Five-Year Plan delineated the Chinese government's explicit intention for economic development to be focused on the HQED, with a particular emphasis on advancing supply-side structural reforms and utilizing innovation and reform as the primary driving forces (Zhou et al. 2022). ...
China has changed its focus from traditional high-speed economic growth to high-quality economic development (HQED) and the implementation of environmentally friendly practices. This transition can have parallel or unparallel impacts on energy insecurity (EIS). In this regards, HQED, inter Alia, is crucial in mitigating EIS and combating the energy crisis. Our study explores the impact of economic growth (EG) and HQED on EIS using the provincial panel data of China for the period 2011–2017. From the perspective of comparative analysis, the results reveal that HQED reduces EIS while EG increases it. The robustness checks indicate that industrial structure (IS) has a negative impact on EIS, whereas industrial structure upgrading (ISU) and green innovation (GI) have a positive influence. This implies that IS contributes to an increase in EIS, whereas ISU and GI result in a decrease in EIS. In addition, the analysis reveals that digital financial inclusion (DFI) exhibits a significant positive relation with EIS, albeit occasionally a negative but insignificant link. The policy implication is that the government should stimulate policies to promote HQED which reduces the EIS.
... Yu Hong et al. [19] divided China's high-quality development evaluation system into four components using the scientific meaning of new economic momentum: technical innovation, structural reform, transformation and upgrading, and development effectiveness. Guoqiang Wang [20], Xin Sun [21], and others constructed the evaluation technique for the high economic quality index using four different variables. Xinhuan Huang et al. [22] evaluated the high quality of economic development from the perspectives of innovation development, urban-rural coordination, ecological environment, opening to the outside world, and people's livelihoods. ...
... Starting from the connotation of high-quality economic development, based on the five development concepts, considering that the statistical caliber of some data of prefecturelevel cities in Hebei has changed in different years, the selection of indicators, based on the research results of a large number of literature [20,24,25,28,31] studies and data collection, and giving full consideration to the scientificity, hierarchy, and availability of data, determined the following: The index evaluation system of high-quality economic development from six dimensions of economy, innovation, coordination, green, openness, and sharing is shown in Table 1. This research uses the entropy method [48] to establish the precise weight of each index to prevent subjective empowerment's arbitrary nature. ...
High-quality economic development is an innovation-driven economy, and collaborative innovation is key to maximizing its effects. In terms of the influence of cooperative innovation of urban agglomerations on high-quality economic development, urban agglomerations are of considerable relevance to the coordinated development of China’s regional economy. This research established an evaluation system of high-quality economic development indicators for the Beijing–Tianjin–Hebei urban agglomeration based on panel data of 13 cities from 2003 to 2020, and then estimated the level of high-quality development of each city’s economy. The spatial Durbin model was used in this article to examine the effects of collaborative innovation on the high-quality development of the economy. The findings indicated that, although high-quality economic development was increasing across the board in the Beijing–Tianjin–Hebei urban agglomeration, it varied greatly between the individual cities. Beijing and Tianjin had much higher levels of high-quality economic development than the other cities in Hebei, and there was some variation within the Hebei cities as well. The high-quality economic development of the Beijing–Tianjin–Hebei urban agglomeration exhibited no spatial correlation characteristics under the weight of geographical distance. However, there was an aggregation effect on the differential relationship of economic development, which was also significant under the dual influence of economic geography. The collaborative innovation of Beijing–Tianjin–Hebei urban agglomeration could promote the high-quality economic development of both the inner and surrounding cities, and could also improve the high-quality economy development level of the overall urban agglomeration.
... According to Marxism, the theoretical basis of systematic sustainable development includes the harmonious relationship between human and nature [30], and the sustainable development of the economy has something in common with the sustainable development of Marxism [31]; however, unlike the traditional target framework based on the growth of material wealth, the sustainable high-quality development of the economy is added to the new development concept [32,33], which includes economic, social, environmental [15] and many other aspects of high-quality development also imply that current development should not be at the expense of future and next-generation development, and that people's welfare level should be continuously and steadily enhanced while meeting current development needs. Therefore, in this manuscript, we refer to Wang Wenju's study on the high-quality development of the Beijing economy [34], Ren Haiwei's study on the construction of an economic-quality-evaluation index system [35], and Chenhui Ding's [15] study on the measurement of indicators for sustainable and high-quality development of environmental economy, and set a multidimensional evaluation system consisting of four secondary indicators, including economic growth, resource allocation efficiency, social security, and ecological protection, as shown in Table 1. In this manuscript, the entropy value method is used for the calculation of index weights, and the final index of the sustainable and high-quality economic development of Chinese cities from 2000 to 2019 is obtained. ...
In the opening year of the 14th Five-Year Plan, China has made significant progress in upgrading its industrial structure and improving the quality of economic growth based on the goal of technological self-sufficiency and self-improvement, and more and more artificial intelligence is being used in the market. Artificial intelligence is playing an important role in the innovation and market construction of the economy. This manuscript constructs a spatial Durbin model by measuring the level of science and technology innovation and sustainable high-quality economic development of 283 prefecture-level cities in China from 2010–2019, and explores the effects and mechanisms of science and technology innovation in promoting the sustainable high-quality economic development of Chinese cities under the background of AI application. It is found that China’s science and technology innovation not only promotes the improvement of economic quality in the region, but also has positive spatial spillover, leading to the improvement of economic quality in neighboring regions. In combination with this established background, this manuscript introduces the variable of industrial structure upgrading and explores its mechanism of action in this field. Research shows that industrial structure upgrading is an important transmission path for science and technology innovation to promote sustainable and high-quality economic development. At the same time, considering the impact of the interaction between science and technology innovation and industrial structure upgrading on the sustainable and high-quality development of regional economy, this manuscript also constitutes an innovative study. Therefore, the government should continuously promote science and technology innovation and industrial structure upgrading, take advantage of China’s mega-market, make full use of the spatial spillover effect, guide the effective allocation of innovation resources, promote the orderly flow and reasonable allocation of innovation factors, and improve the institutional mechanism for promoting the market-oriented application of independent innovation results to support sustainable and high-quality economic development.
... Academics have conducted various studies on high-quality economic development, including not only the evaluation of healthy macroeconomic development [5,6] but also the coupled development of the logistics industry and the economy [7], the impact of service industry aggregation on high-quality development [8], and the study of coordinated The Yellow River is the second longest river in China, with a main stream length of about 5464 km and an east-west length of about 1900 km. The Yellow River basin is located in northern-central China, covering nine provinces and regions, including Qinghai, Sichuan, Gansu, Ningxia, Inner Mongolia, Shaanxi, Shanxi, Henan, and Shandong, with an area of about 795,000 km 2 ( Figure 1). ...
The concept of high-quality development has become the current theme of China’s economic construction. High-quality development requires maintaining a healthy and cyclical approach to economic development, which is a challenge in the original development approach. Yet, a great deal of evidence suggests that there is a strong interrelationship between economic development and the ecological environment, and developing a method to quantify this interrelationship is important for studying the extent of high-quality development. Here, we propose a new indicator system using the coupling degree model and the coupling coordination degree model to assess the coupled coordination of economic development and the ecological environment in the Yellow River basin as a whole and in each province. We found that: (1) the economic development and ecological health of the Yellow River basin exhibit a slowly increasing trend; (2) the coupling degree of the economic development and ecological environment is high, indicating that the interaction between the economy and ecology is very strong; and (3) the increasing degree of coupling and coordination reflects the trend of continuous improvement and coordination in the relationship between the economy and ecological environment, and the level of high-quality development in the basin has continuously increased. The results of this study indicate that to continue to strengthen the high-quality development in the Yellow River basin, the contradiction between the economy and ecology should be alleviated, and coordinated development of both should be achieved.
... Scholars have researched the measurement of high-quality economic development at various levels, such as countries, provinces, cities, and economic zones. Scholars have conducted a lot of research using statistical and econometric tools such as the entropy weight method, the coefficient of variation method, TOPSIS, principal component analysis, AHP (Wang, 2022) [12], and Delphi. Therefore, a more comprehensive and scientific judgment has been made on China's overall and regional high-quality economic development. ...
... Scholars have researched the measurement of high-quality economic development at various levels, such as countries, provinces, cities, and economic zones. Scholars have conducted a lot of research using statistical and econometric tools such as the entropy weight method, the coefficient of variation method, TOPSIS, principal component analysis, AHP (Wang, 2022) [12], and Delphi. Therefore, a more comprehensive and scientific judgment has been made on China's overall and regional high-quality economic development. ...
... For example, the research conclusions of Gu et al. (2021) [21], Hong et al. (2022) [22], Ding et al. (2022) [23], and Tsaurai and Ndou (2019) [24] all support the role of technological innovation and institutional innovation in promoting the quality of economic development. Second, researchers analyzed the influence of the digital economy (W Yang et al., 2022) [25,26], platform economy (Yang et al., 2022) [26], industrial structure (Wang et al., 2022;Zeng et al., 2022) [27,28], foreign direct investment (FDI) (Jahanger, 2021;Xiaosheng Li et al., 2021) [29,30], carbon emissions [31], environmental regulation [32], education equity (Gu et al., 2021;Badinger, 2010;Eva et al., 2012) [21,33,34], and other factors on high-quality economic development, which reflect their important roles in improving the quality of economic development. Badinger (2010) [33] identified the causal effect of output volatility on economic growth. ...
From the perspective of economics, high-quality economic development is a concept that is not easy to grasp. How to quantify high-quality development is also a relatively complex topic. The combination of economic growth and development is high-quality economic development, reflecting the core connotation of the modern economic system. It is of great significance to measure the quality of economic development and study its influencing factors. Based on the new development concept of “innovation, coordination, green, openness, and sharing”, this paper establishes an evaluation index system for the high-quality development level of China’s economy. Then, the principal component analysis method was used to measure China’s high-quality economic development level and that of each province in China. Combined with high-quality development’s meaning and essential features, we can correctly judge the regional economy’s specific situation of high-quality development and analyze the results of high-quality economic development from the perspective of time series and spatial evolution. Based on this, we further explore the main factors that influence the level of high-quality economic development. Finally, some feasible suggestions are put forward to improve the quality of China’s economic development and promote the completion of economic transformation. The main contribution of this paper is that the use of principal component analysis can reduce the dimensional and order-of-magnitude differences between the indicators. In this way, we can better measure the high-quality development level of China’s economy, analyze its main influencing factors, and provide new possible paths for China’s economic transformation.
... Yet, no specific method has been devised for this purpose. However, the analytic hierarchy process and entropy method have been widely used in water quality evaluation, ecological environment evaluation, geological disasters susceptibility assessment, economic development evaluation, and other research fields [14][15][16][17][18][19][20][21]. Thus, we developed an assessment technique for forest quality involving these methods. ...
Spurred by the degraded forest in the 2022 Chongli Winter Olympic Games area, the Chinese government initiated a national program for mountain forest rehabilitation. We developed a method to assess the quality of mountain forests using an index system composed of stand structure, site conditions, and landscape aesthetics at three criteria levels. The method involves index weights determined by the analytical hierarchy process (AHP) and entropy method. The results show that landscape aesthetics was the most important measure for the criterion layer. Slope aspect and naturalness were the most and second-most important indices, respectively, for the alternative layer. The quality of the mountain forest in the Chongli area was divided into four grades. The area had 7.8% with high quality, 46.7% with medium quality, 36.6% with low quality, and 8.9% with inferior quality. In total 76.6% of the damaged forest were distributed on sloping and steep sloping ground at 1700 to 2050 m altitude, and Betula platyphylla Sukaczev and Larix gmelinii var. principis-rupprechtii (Mayr) Pilg. were the predominating trees. The damaged forest was divided into over-dense, over-sparse, degraded, inappropriate tree species, and inferior landscape forest. For different types of damaged forest, corresponding modification measures were proposed. The methods developed in this study can be used for rehabilitation projects to improve the quality of degraded forests in mountainous temperate areas.
... The 5W1H technique stands for tool logic, a quality instrument that enables quick identification and elucidation of a problem's fundamental aspects [54,119]. The method is used to analyze domain concepts and relations from six aspects, including who, when, where, what, why, and how [120][121][122][123]. Table 5. ...
... The task at hand is to figure out what customers want and whether they are happy with the company, its products, and its service. This is where organizations that have well-intentioned quality programs can go astray [121,132]. When it comes to creating value, quality is crucial. ...
Environmental protection, sustainable development, quality, and value have become the
goals of societal development in the twenty-first century. As the core of environmental protection, the new energy sector has become a widespread trend. In this article, we will look at how well and how satisfied customers are with the energy market’s service. A literature review of energy sector quality and value issues was conducted. The survey was conducted in 2021 in Poland with over 2404 respondents by the CAWI survey. Additionally, it was given a qualitative analysis. In the next step, we applied selected quality management methods and tools. The results of the study clearly show that the respondents expect energy companies to become more involved in building
customer–enterprise relationships. Research shows that employees of energy companies should be trained more often in the field of customer service, especially in terms of an individual approach to the customer, which has value for the customer. The authors propose ways to build an arrow diagram to increase customer satisfaction levels. A model of elements determining quality as well as value for clients in the energy market was built.
... By engaging users with issues such as attitudes, knowledge, awareness, and skills [39], the behavioral approach to energy saving offers significant opportunity. However, raising awareness is the first step toward behavioral changes because it is the seed for future changes [40,41]. There will be no realistic action to conserve energy without awareness. ...
Because of disruptive changes in energy businesses and services, as well as changes in
people’s lifestyles around the world, energy demand and consumption have risen quickly in recent
decades. A household energy awareness literature review was conducted. The survey was conducted
in Poland with over 1097 respondents. Additionally, it was given a qualitative analysis. At the
same time, in order to consider why energy consumption in households is increasing, a traditional
quality management tool was used—the Ishikawa diagram. The Pareto–Lorenz diagram was used
to analyze the causes of the increase in energy consumption in households. A model of the causes
of increasing energy consumption in households has been built. The researchers calculated the
chi-square test, which allows them to determine Pearson’s C coefficient. The C-Pearson coefficient can
be calculated using the Chi square value. The results of the study clearly show that the respondents
have knowledge of energy and the factors that influence the increase in its consumption but are not
aware of why energy should be saved and what it means for the environment. The authors propose
ways to build the awareness of household users through a modern quality management tool called
the interrelationship diagram
The “One Belt and One Road” is a major strategic deployment proposed by Chinese President Xi Jinping in 2013, and it is important to study the construction of green financial system under the “One Belt and One Road” initiative, especially the quality assessment of green finance to promote high-quality economic development along the route. At the same time, green finance and green “Belt and Road” have become a hot academic topic in the world. In this study, firstly, on the basis of the existing research on green finance, focusing on the evaluation of economic quality of green finance, we innovatively draw on the quality function deployment theory in marketing to logically transform our research ideas and propose a combined comprehensive evaluation method based on the hierarchical analysis (AHP) and entropy method in fuzzy mathematical theory, which makes up for the traditional single fuzzy evaluation method’s influence on the evaluation results. This method makes up for the shortcomings of the traditional single fuzzy evaluation method to evaluate the results of subjective or objective weighting results. In this study, we apply this method to the assessment of the quality of green finance development in “One Belt, One Road”, and it is important that we construct a system of “One Belt, One Road” green finance quality assessment indicators, including one primary indicator, four secondary indicators and 12 tertiary indicators. It is worth noting that our indicator system is different from the traditional quality system of financial quality assessment in that we take green factors into account in the construction of the tertiary indicators, and then use this assessment method to calculate and rank the weights (importance) of the 12 tertiary indicators, taking the actual situation in China as an example. More importantly, our study not only extends the academic research results of economic quality evaluation, but also combines quantitative research with qualitative analysis to propose three targeted countermeasures for the development of green finance in the countries along the Belt and Road. This study can also provide theoretical support for the quality assessment of green finance in countries along the Belt and Road, and promote the high-quality development of green finance in countries along the Belt and Road.
The expansion of China's development zones has made great contributions to economic development, as well as provided practical guidance for other developing countries to implement development zone policies. However, in the context of global advocacy of low carbon, literature about how the development zone policy affect carbon emissions is poor, especially in China at the urban level. Therefore, this study takes China's development zone policy as a quasi-natural experiment, using the panel data of 285 cities in China from 2003 to 2020, and adopting the DID model to analyze its impact on carbon emissions. After a series of robustness tests including placebo test, dynamic test (all independent variables are lagged by one period), endogeneity test, and parallel trend test, the results are basically robust. The findings show that the development zone policy indeed significantly reduces carbon emissions. In addition, we find that cities with higher resource endowments, cities in the eastern and central regions, and other larger cities across the country have better carbon emissions reduction effects. To a certain extent, the research in this paper fills the gap of theoretical research on carbon emissions in terms of the development zone policy, and provides some practical basis for future research in the field of carbon emissions.
