Evaluation of urban water ecological civilization: A case study of three urban agglomerations in the Yangtze River Economic Belt, China

et al. 2022

Front. Environ. Sci.

This article used data from 1980 to 2019 to examine the relationship between financial annexation, financial development, green innovation, and CO2 emissions in China. This review provides vital information to policymakers on how to go to preventative and therapeutic measures to reduce CO2 discharges in many sectors and demonstrates that innovation in the energy sector may help alleviate environmental change through energy productivity. The review used an autoregressive disseminated slack (ARDL) model to determine the dynamic coefficients for both the study’s long- and short-term periods. This study used the autoregressive circulated slack (ARDL) approach since it performs better than any alternative strategies in small cases, as was the case in this research. The ARDL and DARDL models show that CO2 emissions in China are increasing as a result of increased energy consumption and economic growth. Based on the findings, it is advised that China’s approach creators take on such sustainable power sources and improve them so that they may help meet the growing need for energy by replacing outdated traditional energy sources like coal, gas, and oil with them.

Section: Financial Developmentmentioning

confidence: 99%

Financial Annexation, Green Innovation and Carbon Neutrality in China

Sun

Liu

et al. 2022

Front. Environ. Sci.

“…It covers roughly 21.3% of the total Chinese area, and has a population of almost 600 million, contributing more than 44.3% of China's GDP. The YREB is one of the fastest-growing regions [28,29], and consists of three major UAs: the Yangtze River Delta (YRD), the Middle Reaches of the Yangtze River (MRYR), and Chengdu-Chongqing (CC). Rapid urbanization and extensive economic activities in the YREB can reflect the various characteristics and patterns of LUE [24,30].…”

Section: Study Sitementioning

confidence: 99%

“…where Urb t and Urb t+n are the total areal extent of land consumed at the given spatial unit (e.g., prefecture-level city) for the initial year (t, 2000, then 2010, 2015) and final year (t + n, 2010, then 2015, 2018), respectively; Pop t and Pop t+n represent the total population at the given the corresponding spatial unit for the initial year (t) and final year (t + n), respectively; is the number of years between t and t + n; and ln refers to a natural logarithm. Urb was derived from urban construction land based on the practical definition proposed by Song et al [28] of the built-up boundary that maintains the core area of the city, and we removed independent pixels (within 5 pixels), small areas at the edge of the city, and satellite cities. This paper selects a multiphase land-use dataset, in which construction land is divided into urban construction land and rural residential land.…”

Section: Data Usedmentioning

confidence: 99%

Monitoring Land-Use Efficiency in China’s Yangtze River Economic Belt from 2000 to 2018

2022

Land

Monitoring of the indicator Sustainable Development Goal (SDG) 11.3.1 is important for understanding the coordination between land consumption rate (LCR) and population growth rate (PGR). However, the spatiotemporal indicator SDG 11.3.1 changes at the urban agglomeration (UA) level, and the relationship between LCR and PGR in the prefecture-level cities from different UAs remains unclear. In this study, we monitored the spatiotemporal indicator SDG 11.3.1 in the Yangtze River Economic Belt (YREB) and its three major UAs (i.e., Chengdu–Chongqing (CC), the Middle Reaches of the Yangtze River (MRYR), and the Yangtze River Delta (YRD)) for the periods 2000–2010, 2010–2015, and 2015–2018, using the space–time interaction (STI) method and Pearson’s method. Our major findings were as follows: (1) Compared with the world average of 1.28 for LCRPGR (i.e., ratio of LCR to PGR), except for the LCRPGR of the YRD (2000–2018) and CC (2000–2010), the LCRPGR of CC, the MRYR, and the YREB was lower than 1.28 during 2000–2018. (2) The gaps in both population and built-up area between the YREB and the three UAs did not narrow, but widened. (3) Compared with the LCRPGR in China, except for the LCRPGR of the YRD (2000–2018) and CC (2000–2010), the LCRPGR of the YREB increased from 1.21 to 1.23 between 2000–2010 and 2010–2015, and then decreased to 1.16 in 2015–2018, indicating that the relationship between LCR and PGR in the YREB is relatively stable. (4) A significant positive relationship (p < 0.001) was found between LCR and PGR in CC, the MRYR, the YRD, and the YREB. We conclude that the indicator SDG 11.3.1 is a helpful tool for evaluating land-use efficiency caused by the LCR and PGR at the UA level. Our results provide information support for promoting sustainable and coordinative development between LCR and PGR.

“…In particular, due to the characteristics of spatial spillover effect and regional heterogeneity for air pollution, the win of "blue sky defense war" still has a long way to go [18]. Against this background, ecological civilization, a new concept of green development, gradually gains the attention of policymakers and scholars [19].…”

Section: A Brief Description Of Institutional Backgroundmentioning

confidence: 99%

“…In the past, the traditional guiding ideology of a political promotion tournament was "only GDP", that is, local cadres with better economic performance are more likely to be promoted while the opposite will face a lower promotion probability [16][17][18]. Since the announcement of ecological civilization, a new model of political promotion tournament was proposed and air pollution reduction (or environmental performance) had priority over economic growth, that is, only those who meet the environmental criteria firstly and achieve rapid economic growth simultaneously are more likely to be promoted [19][20][21][22][23]. Against this institutional reform, local cadres will have enough impetus in developing the economy and protecting the environment at the same time to achieve the win-win of an economy-environment balance.…”

Section: A Brief Description Of Institutional Backgroundmentioning

confidence: 99%

Ecological Civilization Demonstration Zone, Air Pollution Reduction, and Political Promotion Tournament in China: Empirical Evidence from a Quasi-Natural Experiment

Geng

Jing-xue

et al. 2021

IJERPH

Using the ecological civilization demonstration zone as a quasi-natural experiment, this study has explored the effect of it on air pollution in China by employing the difference-in-differences model and the spatial difference-in-differences model, and further tested the political promotion tournament in China by employing the binary logit model. The results show that the ecological civilization demonstration zone has basically and effectively reduced air pollution, except for carbon monoxide and ozone. In addition, the spatial spillover effects of the ecological civilization demonstration zone on air pollution are not only basically supported among the treated cities, but also extremely established in the untreated cities neighboring the treated cities. Furthermore, no clear evidence supports the establishment of the political promotion tournament in China, while local cadres tend to cope with the assessment of higher officials passively rather than actively. Overall, this study sheds light on the coordination of economic development and ecological civilization from the perspective of the career concerns of local cadres.