Exploring the nexus of green finance and renewable energy consumption: unraveling synergistic effects and spatial spillovers.

As China transitions towards a green and low-carbon energy system, it is crucial to have the support of green finance. In this study, we explore the effects of synergy and spatial spillovers in the development of green finance and the consumption of renewable energy. By taking a synergistic perspective, we aim to provide new insights for energy structure reform. We use a spatial simultaneous equations model in combination with a three-stage generalized spatial least squares approach, our findings are the following: firstly, there is a positive synergy between the development of green finance and the consumption of renewable energy. Secondly, there are positive spatial spillovers in the development of green finance and the consumption of renewable energy, but the regional interaction effects of green finance development on renewable energy consumption are negative. Furthermore, we observe that the impact of renewable energy consumption on green finance development has been increasing since 2013. However, the reverse relationship is not true, indicating that the renewable energy industry has stabilized and is gaining appeal in financial markets. Our study highlights that the development of green finance can promote an increase in renewable energy consumption through the facilitation of economic growth, green technology innovation, and the upgrading of the industrial structure. We emphasize the importance of regional and industrial coordination to create synergy between green finance development and renewable energy consumption.

How do resource dependence and technological progress affect carbon emissions reduction effect of industrial structure transformation? Empirical research based on the rebound effect in China.

Under the guidance of carbon peak and carbon neutral targets, the industrial structure transformation is vital for carbon emissions reduction in China. However, there is a rebound effect of carbon emissions during the industrial structure transformation. Resource dependence and technological progress have significant impacts on industrial structure transformation and its carbon reduction effect. This paper explores how industrial structure transformation under resource dependence causes the rebound effect from a technological progress perspective. The key results indicate that (1) resource dependence distorts the carbon emissions reduction effect of industrial structure transformation; (2) with the development of technology, the industrial structure upgrading under resource dependence could cause an increase on carbon emissions at the beginning, but the increase would be weakened subsequently, displaying a two-stage feature; (3) the industrial structure rationalization under resource dependence reduces carbon emissions at first, but the reduction would be weakened as the technology develops, then industrial structure's rationalization shows an insignificant impact on carbon emissions, and finally reduces carbon emissions again, presenting a four-stage characteristic; (4) environmental protection technology can correct the distortion effect of resource dependence on the industrial structure rationalization and amplify the industrial structure rationalization's reduction effects on carbon emissions; (5) with the development of energy-saving technology, industrial structure rationalization has a paradoxical impact on carbon emissions, the industrial structure rationalization first reduces, then increases, and finally reduces carbon emissions, indicating an inverted "N" relationship. Finally, policy recommendations for carbon emissions reduction are proposed from the perspective of industrial structure transformation and technological progress.

Industrial Structure Adjustment and Regional Green Development from the Perspective of Mineral Resource Security.

Mineral resource security is the premise and foundation of the regional green rise strategy. And the adjustment of industrial structure is an effective way to relieve the pressure of the current green economy transformation. Based on the Shift-share Method and the Spatial Durbin model, this paper takes 30 regions in China from 2006 to 2017 as examples to study the impact of industrial structure adjustment on China's green development from the perspective of mineral resource security. The empirical results show that: China is still in the process of industrial transfer. The dynamic effect of industrial structure promotes green development from the perspective of mineral resource security, while its static effect inhibits green development from the perspective of mineral resource security. The spatial spillover effect of the industrial structure affecting green development from the perspective of mineral resource security is significant. The static structural effect of the tertiary industry promotes the green development of the region, and it has a significant negative impact on neighboring areas, while the secondary industry's static structural effect has the opposite effect.

Prevalence and associated factors of microalbuminuria in Chinese individuals without diabetes: cross-sectional study.

OBJECTIVE: To investigate the prevalence of microalbuminuria (MAU) among Chinese individuals without diabetes and the relationship between MAU and metabolic factors, individual socioeconomic status (SES), and regional economic development level. DESIGN: Cross-sectional study of prevalence of MAU. SETTING: 152 urban street districts and 112 rural villages from northeast, north, east, south central, northwest and southwest China. PARTICIPANTS: 46 239 participants were recruited using a multistage stratified sampling design from 2007 to 2008. A total of 41 290 participants without diabetes determined by oral glucose tolerance test were included in the present study. Urine albumin/creatinine ratio results of 35 430 individuals were available. PRIMARY AND SECONDARY OUTCOME MEASURES: Positive detection of MAU was determined using an ACR of 22.1-299.9 mg/g in men 30.9-299.9 mg/g in women. RESULTS: The prevalence of MAU in men was 22.4% and 24.5% in women. In developed, intermediate-developed and under-developed areas, the prevalence of MAU in men was 20.7%, 21.9% and 32.5%, respectively; in women the prevalence was 19.6%, 26.0% and 29.5%, respectively. The prevalence of MAU increased as the number of metabolic disorders present increased, and as the number of lower SES components increased (farmer, below university education level and low income). Prevalence of MAU in developed and intermediate developed areas had adjusted risk ratios of 0.52 (95% CI 0.42 to 0.60) and 0.65 (95% CI 0.57 to 0.76), respectively. Multivariate logistic analyses demonstrated MAU was strongly associated with older age, high-blood pressure, higher blood glucose low education level, low occupational level and residence in under-developed region. CONCLUSIONS: Several factors had independent correlations to MAU in China: older age, metabolic abnormalities, lower SES level and living in economically under-developed areas, which encourage the development of strategies to lower the risk for MAU in these susceptible populations.

Nonlaboratory-based risk assessment algorithm for undiagnosed type 2 diabetes developed on a nation-wide diabetes survey.

OBJECTIVE: To develop a New Chinese Diabetes Risk Score for screening undiagnosed type 2 diabetes in China. RESEARCH DESIGN AND METHODS: Data from the China National Diabetes and Metabolic Disorders Study conducted from June 2007 to May 2008 comprising 16,525 men and 25,284 women aged 20-74 years were analyzed. Undiagnosed type 2 diabetes was detected based on fasting plasma glucose ≥7.0 mmol/L or 2-h plasma glucose ≥11.1 mmol/L in people without a prior history of diabetes. ß-Coefficients derived from a multiple logistic regression model predicting the presence of undiagnosed type 2 diabetes were used to calculate the New Chinese Diabetes Risk Score. The performance of the New Chinese Diabetes Risk Score was externally validated in two studies in Qingdao: one is prospective with follow-up from 2006 to 2009 (validation 1) and another cross-sectional conducted in 2009 (validation 2). RESULTS: The New Chinese Diabetes Risk Score includes age, sex, waist circumference, BMI, systolic blood pressure, and family history of diabetes. The score ranges from 0 to 51. The area under the receiver operating curve of the score for undiagnosed type 2 diabetes was 0.748 (0.739-0.756) in the exploratory population, 0.725 (0.683-0.767) in validation 1, and 0.702 (0.680-0.724) in validation 2. At the optimal cutoff value of 25, the sensitivity and specificity of the score for predicting undiagnosed type 2 diabetes were 92.3 and 35.5%, respectively, in validation 1 and 86.8 and 38.8% in validation 2. CONCLUSIONS: The New Chinese Diabetes Risk Score based on nonlaboratory data appears to be a reliable screening tool to detect undiagnosed type 2 diabetes in Chinese population.

Medical care and payment for diabetes in China: enormous threat and great opportunity.

BACKGROUND: The Diabetes Impact Study followed up a large national population-based screening study to estimate the use of and expenditures for medical care caused by diabetes in China and to ascertain the use and cost of essential basic medicines and care. METHODS: In 2009-10, the study team interviewed 1482 adults with diabetes and 1553 adults with glucose tolerance in the normal range from population-based random samples at 12 sites in China. The response rate was 67%. FINDINGS: After adjusting for age, sex, and urban/rural location, people with diabetes received 1.93 times more days of inpatient treatment, 2.40 times more outpatient visits, and 3.35 times more medications than people with normal glucose tolerance (all p<0.05). Adjusted expenditures for medical care were 3.38 times higher among people with diabetes than among people with normal glucose tolerance (p<0.01, unadjusted 3.97). Persons who were diagnosed with ≥ 10 years prior to the survey paid 3.75 times as much for medical care as those with ≤ 5 years of diagnosed diabetes. Among persons with diabetes, 45.2% took medication to control blood sugar, 21.1% took an antihypertensive medicine, 22.4% took daily aspirin, and 1.8% took a statin. Over the three months before the interview, 46.1% of persons with diabetes recalled seeing a doctor, 48.9% recalled a blood pressure measurement, and 54.5% recalled a blood sugar test. Over the year preceding the interview, 32.1% recalled a retinal screening and 17.9% recalled a foot examination. CONCLUSIONS: In China, health care use and costs were dramatically higher for people with diabetes than for people with normal glucose tolerance and, in relative terms, much higher than in industrialized countries. Low-cost generic medicines that would reduce diabetes expenditures were not fully used.

Serum lipids and lipoproteins in Chinese men and women.

BACKGROUND: Because of rapid change in lifestyle risk factors, cardiovascular disease has become the leading cause of death in China. We sought to estimate the national levels of serum lipids and lipoproteins among the Chinese adult population. METHODS AND RESULTS: We conducted a cross-sectional study in a nationally representative sample of 46 239 adults aged ≥20 years. Fasting serum total, high-density lipoprotein, and low-density lipoprotein cholesterol and triglycerides were measured by standard methods. The age-standardized estimates of total, high-density lipoprotein, and low-density lipoprotein cholesterol and triglycerides were 4.72 (95% confidence interval, 4.70-4.73), 1.30 (1.29-1.30), 2.68 (2.67-2.70), and 1.57 (1.55-1.58) mmol/L, respectively, in the Chinese adult population. In addition, 22.5% (21.8-23.3%) or 220.4 million (212.1-228.8) Chinese adults had borderline high total cholesterol (5.18-6.21 mmol/L), and 9.0% (8.5-9.5%) or 88.1 million (83.4-92.8) had high total cholesterol (≥6.22 mmol/L). The population estimates for borderline high (3.37-4.13 mmol/L), high (4.14-4.91 mmol/L), and very high (≥4.92 mmol/L) low-density lipoprotein cholesterol were 13.9% (13.3-14.5%) or 133.5 million (127.0-140.1), 3.5% (3.3-3.8%) or 33.8 million (31.2-36.5), and 3.0% (2.8-3.3%) or 29.0 million (26.3-31.8) persons, respectively. In addition, 22.3% (21.6-23.1%) or 214.9 million (207.0-222.8) persons had low high-density lipoprotein cholesterol (<1.04 mmol/L). The awareness, treatment, and control of borderline high or high total cholesterol were 11.0%, 5.1%, and 2.8%, respectively, in the Chinese adult population. CONCLUSIONS: Serum total and low-density lipoprotein cholesterol levels were high and increasing in the Chinese population. Without effective intervention, atherosclerotic cardiovascular diseases may soar in the near future in China.