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Cheng Jinhua
China University of Geosciences Wuhan, School of Economic and Management Sciences, Ghana

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He has published about 200 articles and books.

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Journal article
Published: 26 August 2021 in Energies
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This paper aims to investigate the impact of space weather on China’s electricity market. Based on data products provided by NOAA and the National Energy Administration in China, this paper uses solar wind velocity as a solar weather indicator and the disturbance storm time index as a magnetospheric weather indicator to match monthly Chinese electricity market data over 10 years. Based on a VAR model, we found that (1) space weather increases the demand for electricity in China, and solar wind speed and the geomagnetic index increase the electricity consumption of the whole of Chinese society, as space weather mainly increases the electricity consumption of the secondary and industrial sectors. (2) The geomagnetic index significantly promotes power station revenue. (3) Space weather is associated with increased energy consumption. The geomagnetic index significantly increases the coal consumption rate of fossil power plants in China, but the solar wind speed has nothing to do with the coal consumption rate of fossil power plants.

ACS Style

Tong Wu; Zhe You; Mengqi Gong; Jinhua Cheng. Star Wars? Space Weather and Electricity Market: Evidence from China. Energies 2021, 14, 5281 .

AMA Style

Tong Wu, Zhe You, Mengqi Gong, Jinhua Cheng. Star Wars? Space Weather and Electricity Market: Evidence from China. Energies. 2021; 14 (17):5281.

Chicago/Turabian Style

Tong Wu; Zhe You; Mengqi Gong; Jinhua Cheng. 2021. "Star Wars? Space Weather and Electricity Market: Evidence from China." Energies 14, no. 17: 5281.

Journal article
Published: 07 August 2021 in Resources Policy
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The study investigates the long-run and causal correlation between total natural resource rents and economic development in a public debt function. We integrate trade openness, inflation, population growth, and unemployment in the model as additional regressors. Empirical evidence is premised on an annual balanced panel data between 1991 and 2017 for 17 selected resource-rich countries. Pooled Mean Group Autoregressive Distributed Lag (PMG-ARDL) econometric method is employed as the most suitable estimation model that deals with various econometric issues, including heterogeneity between the selected countries. The Johansen Fisher Panel Cointegration Test and Kao Test reveal a cointegration between the variables. The PMG-ARDL results suggest a significant positive relationship between countries’ resource earnings and public debt in the long-run and a negative link in the short-run. Implying that overdependence on total natural resource rents affects public debt sustainability of the panel countries if effective fiscal and economic management policies are disregarded. The panel Vector Error Correction Model (VECM) result shows a causal relationship between resource abundance and government debt. Finally, bidirectional causal relationships are found to exist between natural resource rents and public debt accumulation. To avoid debt-overhang incidence, governments of resource-abundant countries should engage in responsible borrowing, invest in sectors that will stimulate development, and implement anti-corruption policies to seal revenue leakages.

ACS Style

Gideon Minua Kwaku Ampofo; Cheng Jinhua; Philip Chukwunonso Bosah; Edwin Twum Ayimadu; Patrick Senadzo. Nexus between total natural resource rents and public debt in resource-rich countries:A panel data analysis. Resources Policy 2021, 74, 102276 .

AMA Style

Gideon Minua Kwaku Ampofo, Cheng Jinhua, Philip Chukwunonso Bosah, Edwin Twum Ayimadu, Patrick Senadzo. Nexus between total natural resource rents and public debt in resource-rich countries:A panel data analysis. Resources Policy. 2021; 74 ():102276.

Chicago/Turabian Style

Gideon Minua Kwaku Ampofo; Cheng Jinhua; Philip Chukwunonso Bosah; Edwin Twum Ayimadu; Patrick Senadzo. 2021. "Nexus between total natural resource rents and public debt in resource-rich countries:A panel data analysis." Resources Policy 74, no. : 102276.

Journal article
Published: 04 August 2021 in Resources Policy
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Traditional mineral resource availability assessment methods always have strong assumptions and limitations on application. Both the physical mechanism of the Hubbert model and the economic mechanism of the Hotelling model can evaluate only specific dimensions of the availability of mineral resources. Therefore, we propose a hybrid model that could explain mineral resource availability from geological factors to the metal market. In this model, mineral resource availability will be assessed by two indicators in a coordinate system. One is the marginal effect of mining technology, which is calculated by the Cobb-Douglas production function. Another is the price elasticity ratio of reserve and production. Meanwhile, we apply this model to assess 13 kinds of strategic minerals in China. Among them, the availability potential of gold, tin and lead is large in the future, while that of iron, aluminum and copper is relatively small. In addition, zirconium, chromium, lithium, cobalt, tungsten and nickel are technology-based strategic minerals, while molybdenum is a market-oriented strategic mineral. Moreover, we put forward the classified management policy based on empirical results.

ACS Style

Yongguang Zhu; Deyi Xu; Saleem H. Ali; Jinhua Cheng. A hybrid assessment model for mineral resource availability potentials. Resources Policy 2021, 74, 102283 .

AMA Style

Yongguang Zhu, Deyi Xu, Saleem H. Ali, Jinhua Cheng. A hybrid assessment model for mineral resource availability potentials. Resources Policy. 2021; 74 ():102283.

Chicago/Turabian Style

Yongguang Zhu; Deyi Xu; Saleem H. Ali; Jinhua Cheng. 2021. "A hybrid assessment model for mineral resource availability potentials." Resources Policy 74, no. : 102283.

Journal article
Published: 09 July 2021 in Energies
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The new energy industry (NEI) is key to achieving a clean and low-carbon economy. Improving its technical efficiency, a factor reflecting the ability of an enterprise or industry to produce maximum economic outputs from a given set of inputs and production technologies, is vital for the healthy development of the NEI. Nevertheless, due to the fragmentation of industry data, it is still difficult to accurately measure the technical efficiency of China’s NEI and understand the driving factors behind it. Based on the panel data derived from 17,457 observations on new energy enterprises in 29 Chinese provinces during 1998 and 2013 (latest data available), this paper uses data envelopment analysis (DEA) and geographically and temporally weighted regression (GTWR) for the first time to investigate the spatiotemporal characteristics and driving factors of the technical efficiency of China’s NEI. The results show that the technical efficiency of China’s NEI was relatively low and increased modestly from 0.44 in 1998 to 0.52 in 2013. Exploring the reasons from the perspective of spatiotemporal heterogeneity, we find that enterprise scale and technological progress are the major driving factors for increasing NEI’s technical efficiency. However, the role of economic development in improving efficiency has gradually disappeared. Moreover, the negative effect of state-owned enterprises on efficiency becomes increasingly obvious. The effect of new energy resources is negligible. Our main contribution is the technical efficiency of China’s NEI which is measured at the provincial level and its main driving factors are explored by considering spatiotemporal heterogeneity. Accordingly, we put forward some specific recommendations to improve the technical efficiency of China’s NEI.

ACS Style

Hongli Liu; Xiaoyu Yan; Jinhua Cheng; Jun Zhang; Yan Bu. Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry. Energies 2021, 14, 4151 .

AMA Style

Hongli Liu, Xiaoyu Yan, Jinhua Cheng, Jun Zhang, Yan Bu. Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry. Energies. 2021; 14 (14):4151.

Chicago/Turabian Style

Hongli Liu; Xiaoyu Yan; Jinhua Cheng; Jun Zhang; Yan Bu. 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry." Energies 14, no. 14: 4151.

Journal article
Published: 15 June 2021 in Resources Policy
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China is the only country in the world with a complete rare earths industry supply chain. Therefore, it is a significant case study country to conduct a risk assessment and early warning evaluation of industry security. Industry security refers to a country having the autonomy, control, and development rights over its rare earths industry and a guarantee that the existing or potential rights and interests will remain unharmed. An industry security assessment framework is developed in this study, using 18 selected indicators with regards to four aspects: resources, politics, economy, and technology. The “catastrophe progression method” (CPM) and path analysis method (PATH) were used to identify the early warning status of the rare earths industry and to highlight influencing factors. This paper found that (1) China's rare earths industry is in a “secure” state in general. The security index of the technology subsystem shows a saturated growth of 135.7%; meanwhile, the politics subsystem's security index has a significant declining trend of 21.7%. (2) From 2006 to 2019, the security status of China's rare earths industry experienced three periods of significant fluctuation, which can be summarized as resource-driven, economic-driven and politically-driven respectively. To be more specific, the years of 2006, 2009, and 2012 are important points when the security status of China's rare earths industry underwent significant changes. (3) The security value of subsystem has changed significantly, mainly reflected in the surge of the technology subsystem in 2013 and the sharp drop in the political subsystem in 2017. (4) all the variables considered in the path model influence the security index significantly directly or indirectly or both. The resource subsystem has the largest impact on the security index, followed by the politics subsystem. Finally, based on the above findings and the status-quo of the rare earths industry, we highlight policy recommendations from resources management, international cooperation, market governance, and technology innovation perspectives respectively.

ACS Style

Zhili Zuo; Jinhua Cheng; Haixiang Guo; Benjamin Craig McLellan. Catastrophe progression method - path (CPM-PATH) early warning analysis of Chinese rare earths industry security. Resources Policy 2021, 73, 102161 .

AMA Style

Zhili Zuo, Jinhua Cheng, Haixiang Guo, Benjamin Craig McLellan. Catastrophe progression method - path (CPM-PATH) early warning analysis of Chinese rare earths industry security. Resources Policy. 2021; 73 ():102161.

Chicago/Turabian Style

Zhili Zuo; Jinhua Cheng; Haixiang Guo; Benjamin Craig McLellan. 2021. "Catastrophe progression method - path (CPM-PATH) early warning analysis of Chinese rare earths industry security." Resources Policy 73, no. : 102161.

Journal article
Published: 20 May 2021 in Energies
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Based on resource carrying capacity, this study used the revised theory of relative resource carrying capacity (RRCC) and introduced an innovative concept of relative fossil energy carrying capacity (RFECC), which evaluates the degree of fossil energy sustainability based on the relationship between economy, population, and environment. This study took China and the United States as the study objects, took the whole country as the reference area, and calculated the RFECC of population, economic, and environmental resources from 2000 to 2018. Therefore, based on the comparative analysis, the following conclusions were drawn: (i) there is a big difference in the RFECC between China and the United States, which is manifested in the inverted U-shaped trend in China and the U-shaped trend in the United States; (ii) the relative fossil energy carrying states in China and the United States are different, mainly reflected in the economy and environment; (iii) the gap in RFECC between China and the United States has gradually widened; in general, China’s economic RFECC is better than that of the United States, while environmental RFECC and population RFECC in the United States is better than that of China; and (iv) coal and oil should be used as a breakthrough point for the sustainable fossil energy and sustainable development for China and the United States, respectively.

ACS Style

Zhili Zuo; Jinhua Cheng; Haixiang Guo; Yonglin Li. Comparative Study on Relative Fossil Energy Carrying Capacity in China and the United States. Energies 2021, 14, 2972 .

AMA Style

Zhili Zuo, Jinhua Cheng, Haixiang Guo, Yonglin Li. Comparative Study on Relative Fossil Energy Carrying Capacity in China and the United States. Energies. 2021; 14 (10):2972.

Chicago/Turabian Style

Zhili Zuo; Jinhua Cheng; Haixiang Guo; Yonglin Li. 2021. "Comparative Study on Relative Fossil Energy Carrying Capacity in China and the United States." Energies 14, no. 10: 2972.

Journal article
Published: 17 May 2021 in Ecological Indicators
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Ecological civilization construction (ECC) has become an essential strategy for achieving sustainable development and resolving China's severe resource and environmental issues. Therefore, to understand the current status and spatio-temporal characteristics of China's ECC, this study constructed an indicator system with 23 indicators to investigate China's ECC trends from 2000 to 2019. A cloud model was adopted to obtain the ECC evaluation results. A standard deviational ellipse model was employed to reveal the spatial ECC dynamic evolution process. A coupling coordination degree model was applied to measure the relationship between the ECC and the economy, society, and nature. It was found that: (i) China has not yet fully entered the ecological civilization stage. China’s ECC is slightly higher than the “normal” level, with East China having the highest ECC level; (ii) There is a “gradual” process in the ECC in the six regions, the ECC in 30 Chinese provinces had a generally positive trend from 2000 to 2019; however, the ECC development speed in Northeast China was relatively backward; (iii) The coupling and coordination degree of economy, society, and nature shows significant regional differentiation, with the coast being better than the inland and the south being better than the north. Finally, we put forward policy recommendations to improve the level of China’s ECC from four aspects: narrowing regional differences, strengthening regional cooperation, using scientific and technological means, and increasing ecological culture cultivation.

ACS Style

Zhili Zuo; Haixiang Guo; Jinhua Cheng; Yonglin Li. How to achieve new progress in ecological civilization construction? – Based on cloud model and coupling coordination degree model. Ecological Indicators 2021, 127, 107789 .

AMA Style

Zhili Zuo, Haixiang Guo, Jinhua Cheng, Yonglin Li. How to achieve new progress in ecological civilization construction? – Based on cloud model and coupling coordination degree model. Ecological Indicators. 2021; 127 ():107789.

Chicago/Turabian Style

Zhili Zuo; Haixiang Guo; Jinhua Cheng; Yonglin Li. 2021. "How to achieve new progress in ecological civilization construction? – Based on cloud model and coupling coordination degree model." Ecological Indicators 127, no. : 107789.

Journal article
Published: 12 April 2021 in Sustainability
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The reduction of CO2 emission has become one of the significant tasks to control climate change in China. This study employs Exploratory Spatial Data Analysis (ESDA) to identify the provinces in China with different types of spatiotemporal transition, and applies the Logarithmic Mean Divisia Index (LMDI) to analyze the influencing factors of industrial CO2 emissions. Spatial autocorrelation of provincial industrial CO2 emissions from 2003 to 2017 has been demonstrated. The results are as follows: (1) 30 provinces in China are categorized into 8 types of spatiotemporal transition, among which 24 provinces are characterized by stable spatial structure and 6 provinces show significant spatiotemporal transition; (2) For all types of spatiotemporal transition, economic scale effect is mostly contributed to industrial CO2 emission, while energy intensity effect is the most crucial driving force to reduce industrial carbon dioxide emission; (3) provinces of type HH-HH, HL-HL and HL-HH are most vital for CO2 emission reduction, while the potential CO2 emission increase of developing provinces in LL-LL, LH-LH and LL-LH should also be taken into account. Specific measures for CO2 emission reduction are suggested accordingly.

ACS Style

Jingyuan Li; Jinhua Cheng; Beidi Diao; Yaqi Wu; Peiqi Hu; Shurui Jiang. Social and Economic Factors of Industrial Carbon Dioxide in China: From the Perspective of Spatiotemporal Transition. Sustainability 2021, 13, 4268 .

AMA Style

Jingyuan Li, Jinhua Cheng, Beidi Diao, Yaqi Wu, Peiqi Hu, Shurui Jiang. Social and Economic Factors of Industrial Carbon Dioxide in China: From the Perspective of Spatiotemporal Transition. Sustainability. 2021; 13 (8):4268.

Chicago/Turabian Style

Jingyuan Li; Jinhua Cheng; Beidi Diao; Yaqi Wu; Peiqi Hu; Shurui Jiang. 2021. "Social and Economic Factors of Industrial Carbon Dioxide in China: From the Perspective of Spatiotemporal Transition." Sustainability 13, no. 8: 4268.

Journal article
Published: 23 March 2021 in Resources Policy
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Effective evaluation facilitates the implementation of production quota policy and establishment of future policy directions. However, reliable evaluations of the long-term impacts of production quota policies on critical minerals remain scant. In this study, we first derive hypotheses about the production quota policy and sustainable supply capacity of critical minerals. Based on the theoretical analysis, we apply the generalized synthetic control method to a balanced panel of critical minerals for the years 1999–2017 to analyze the average policy effect and the effects for different minerals. Subsequently, we explain why the policy lacks lasting effects on the economic performance. Our main findings are that the effects of the production quota policy that are not obvious in the initial stage become significant at a later stage and that implementing the policy effectively can lower the supply disruption risk. With policy implementation and an increase in supervision intensity, the production quota policy has a positive impact on improving the sustainable supply capacity for critical minerals but a negative effect on profitability, thereby causing a horizontal change or even decline in the policy effects in the long term. Policy implications are proposed to enhance the sustainable supply capacity of critical minerals for China and other countries seeking supply security.

ACS Style

Jiahui Yi; Sheng Dai; Jinhua Cheng; Qiaosheng Wu; Kailei Liu. Production quota policy in China: Implications for sustainable supply capacity of critical minerals. Resources Policy 2021, 72, 102046 .

AMA Style

Jiahui Yi, Sheng Dai, Jinhua Cheng, Qiaosheng Wu, Kailei Liu. Production quota policy in China: Implications for sustainable supply capacity of critical minerals. Resources Policy. 2021; 72 ():102046.

Chicago/Turabian Style

Jiahui Yi; Sheng Dai; Jinhua Cheng; Qiaosheng Wu; Kailei Liu. 2021. "Production quota policy in China: Implications for sustainable supply capacity of critical minerals." Resources Policy 72, no. : 102046.

Journal article
Published: 12 March 2021 in Energy
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Harnessing energy resources contributes to achieving economic targets and environmental change, as well as fulfilling energy demands via producing clean energy and new technologies. However, the procedures for accomplishing these interlinked objectives and achieving sustainable development need to be addressed empirically. To this end, we examined the nexus between fossil fuel, renewable energy, and economic growth, using a time series data 1980–2017 of Pakistan. By employing a non-linear autoregressive distributed lag and asymmetric causality approaches, this study determines the asymmetric impact of one variable on the others. During the investigation, the results confirmed asymmetric and nonlinear co-integration between pairs of the variables. An asymmetric feedback causality was observed between positive shocks to economic growth and renewable energy consumption. In contrast, the asymmetric causality test showed that positive and negative shocks in fossil fuel and economic growth had a neutral effect, while a symmetric bidirectional hypothesis was observed between fossil fuel consumption and economic growth. Finally, an asymmetrically unidirectional causal nexus was confirmed between foreign direct investment and economic growth. Prospectively, our findings suggest the significance of clean energy along with the installation of new technologies for achieving sustainable economic growth without undermining environmental intactness and ecosystem.

ACS Style

Khan Baz; Jinhua Cheng; Deyi Xu; Khizar Abbas; Imad Ali; Hashmat Ali; Chuandi Fang. Asymmetric impact of fossil fuel and renewable energy consumption on economic growth: A nonlinear technique. Energy 2021, 226, 120357 .

AMA Style

Khan Baz, Jinhua Cheng, Deyi Xu, Khizar Abbas, Imad Ali, Hashmat Ali, Chuandi Fang. Asymmetric impact of fossil fuel and renewable energy consumption on economic growth: A nonlinear technique. Energy. 2021; 226 ():120357.

Chicago/Turabian Style

Khan Baz; Jinhua Cheng; Deyi Xu; Khizar Abbas; Imad Ali; Hashmat Ali; Chuandi Fang. 2021. "Asymmetric impact of fossil fuel and renewable energy consumption on economic growth: A nonlinear technique." Energy 226, no. : 120357.

Journal article
Published: 03 March 2021 in International Journal of Environmental Research and Public Health
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Chinese government policy officially identify the Yangtze River Economic Belt (YREB) as one of regional green development strategies firstly in 2014. This strategy can be regarded as quasi-natural experiment, this paper aims to test its impact on regional environmental total factor productivity (TFP). First, slack-based measure model is used to calculate the environmental TFP from 2005 to 2017 at provincial level. Second, based on Chinese official statistics, differences-in-differences (DID) method is applied to construct an evaluation model of policy effect, combining with the kernel matching in propensity score matching (PSM) method. The results show that environmental TFP of YREB has significant spatial differences, with characteristic of high-east and low-west, its average level is 11.69 percentage points higher than the national average. YREB strategy promotes regional economic growth, but it does no effect on the regional environmental TFP yet. Modelling suggests that YREB strategy may play a role in the short term. From the significance of the control variables, infrastructure construction level is positively correlated with environmental TFP, while per capita GDP, financial development and energy consumption intensity have negative effect on environmental TFP. Based on this, policymakers should focus on green development, promoting industrial transformation, and enhancing environmental protection.

ACS Style

Kailu Guo; Shixiang Li; Zhanqi Wang; Jianru Shi; Jun Bai; Jinhua Cheng. Impact of Regional Green Development Strategy on Environmental Total Factor Productivity: Evidence from the Yangtze River Economic Belt, China. International Journal of Environmental Research and Public Health 2021, 18, 2496 .

AMA Style

Kailu Guo, Shixiang Li, Zhanqi Wang, Jianru Shi, Jun Bai, Jinhua Cheng. Impact of Regional Green Development Strategy on Environmental Total Factor Productivity: Evidence from the Yangtze River Economic Belt, China. International Journal of Environmental Research and Public Health. 2021; 18 (5):2496.

Chicago/Turabian Style

Kailu Guo; Shixiang Li; Zhanqi Wang; Jianru Shi; Jun Bai; Jinhua Cheng. 2021. "Impact of Regional Green Development Strategy on Environmental Total Factor Productivity: Evidence from the Yangtze River Economic Belt, China." International Journal of Environmental Research and Public Health 18, no. 5: 2496.

Research article
Published: 15 February 2021 in Environmental Science and Pollution Research
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The global level of climate change agreement and the extensive development of China’s industrialization process have caused China to face severe pressures regarding energy conservation and emission reduction. Tourism industry plays an important role in promoting steady economic growth and improving ecological environment in China. The agglomeration economic effect it produces can reduce carbon emissions, but the crowding effect may not be conducive to low carbon development. Therefore, how to reduce carbon emissions while promoting the development of tourism industry has become an urgent problem. This paper measures the level of tourism industry agglomeration and carbon emission in 30 regions of China and uses the method of spatial econometrics to analyze the impact of tourism industry agglomeration on carbon emissions. The empirical results prove that tourism industry agglomeration can reduce the carbon emissions of local and neighboring regions in China. However, this does not mean that the larger the scale of tourism industry agglomeration, the more conducive to the reduction of carbon emissions. For developed tourism groups, the impact of agglomeration effect on carbon emissions of local and adjacent areas shows a U-shaped relationship. When the agglomeration level exceeds 1.963, the expansion of agglomeration scale will increase local carbon emissions. For underdeveloped tourism areas, there is an inverted U-shaped relationship between agglomeration level and carbon emissions both in local and adjacent areas. When the agglomeration level reaches 1.883, the expansion of agglomeration scale will reduce local carbon emissions. The conclusions provide a basis for Chinese government to guide the low-carbon development of the tourism industry from another perspective.

ACS Style

Can Huang; Jin-Wei Wang; Chien-Ming Wang; Jin-Hua Cheng; Juan Dai. Does tourism industry agglomeration reduce carbon emissions? Environmental Science and Pollution Research 2021, 1 -16.

AMA Style

Can Huang, Jin-Wei Wang, Chien-Ming Wang, Jin-Hua Cheng, Juan Dai. Does tourism industry agglomeration reduce carbon emissions? Environmental Science and Pollution Research. 2021; ():1-16.

Chicago/Turabian Style

Can Huang; Jin-Wei Wang; Chien-Ming Wang; Jin-Hua Cheng; Juan Dai. 2021. "Does tourism industry agglomeration reduce carbon emissions?" Environmental Science and Pollution Research , no. : 1-16.

Journal article
Published: 11 February 2021 in Energy Policy
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The Chinese government has established a photovoltaics poverty alleviation (PVPA) program to help reduce rural poverty and environmental inequality. However, there is a scarcity of detailed investigations into how social-psychological factors influence the rural poor's decision to adopt solar photovoltaics. The present study examines the local voices of low-income villagers in the Wuhan region towards the PVPA projects from a social-psychological perspective. While focusing on local villagers' opinions before the onset of the COVID-19 pandemic, our findings suggest that villagers' neighbors have the greatest influence on those who subequently adopt solar PV. Similarly, village agents play a crucial role in spreading information and creating a sense of trust, which is different than other countries' solar adoption. The common goals of improving the local community aesthetically, environmentally, and economically also increased villagers' adoption likelihood. These improvements boosted villagers' sense of pride, which, in a virtuous cycle, further encouraged participation in improving the community. Residents' fears were reduced through local social interactions which increased knowledge, such as village-wide technology demonstrations, conversations with local adopters, and town hall discussions with village leaders. However, --- the PVPA projects and skepticism about when or if they would receive promised government subsidies prevented many from adopting. These findings provide valuable implications for policymakers in China and other developing countries who wish to encourage renewable energy adoption after the pandemic.

ACS Style

Chien-Fei Chen; Jiaxin Li; Jing Shuai; Hannah Nelson; Allen Walzem; Jinhua Cheng. Linking social-psychological factors with policy expectation: Using local voices to understand solar PV poverty alleviation in Wuhan, China. Energy Policy 2021, 151, 112160 .

AMA Style

Chien-Fei Chen, Jiaxin Li, Jing Shuai, Hannah Nelson, Allen Walzem, Jinhua Cheng. Linking social-psychological factors with policy expectation: Using local voices to understand solar PV poverty alleviation in Wuhan, China. Energy Policy. 2021; 151 ():112160.

Chicago/Turabian Style

Chien-Fei Chen; Jiaxin Li; Jing Shuai; Hannah Nelson; Allen Walzem; Jinhua Cheng. 2021. "Linking social-psychological factors with policy expectation: Using local voices to understand solar PV poverty alleviation in Wuhan, China." Energy Policy 151, no. : 112160.

Journal article
Published: 10 February 2021 in Environmental Science & Policy
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This paper firstly proposed an analytical framework for the relationship between ecosystem services value (ESV) and multidimensional poverty-reduction index; then, it conducted a quantitative assessment of ESV including ecosystem disservices in China’s Three Gorges Reservoir region; next, it explored the interactive relationship between ESV and multidimensional poverty-reduction index in an attempt to reveal the contribution of ecosystem services to poverty reduction in this special region. The results indicate that: (1) There is a long-term co-integration between ESV and multidimensional poverty-reduction index, and their coupling degree is on the rise; ESV plays an important role in improving social security and mitigating poverty; (2) There are high correlations between climate regulation, waste treatment, maintenance of genetic diversity, environment purification, landscape aesthetics, maintenance of soil fertility and multidimensional poverty-reduction index, making the greatest contribution to poverty reduction in the region; and (3) Contributions of different specific ecosystem services to poverty reduction are varied considerably among different categories of ESV. Finally, this paper proposed policy recommendations for the synergy between eco-environmental protection and poverty reduction based on the findings of this research.

ACS Style

Jing Shuai; Jing Liu; Jinhua Cheng; Xin Cheng; Jing Wang. Interaction between ecosystem services and rural poverty reduction: Evidence from China. Environmental Science & Policy 2021, 119, 1 -11.

AMA Style

Jing Shuai, Jing Liu, Jinhua Cheng, Xin Cheng, Jing Wang. Interaction between ecosystem services and rural poverty reduction: Evidence from China. Environmental Science & Policy. 2021; 119 ():1-11.

Chicago/Turabian Style

Jing Shuai; Jing Liu; Jinhua Cheng; Xin Cheng; Jing Wang. 2021. "Interaction between ecosystem services and rural poverty reduction: Evidence from China." Environmental Science & Policy 119, no. : 1-11.

Journal article
Published: 19 January 2021 in Resources Policy
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To improve metal utilization efficiency, the effects of technical change cannot be ignored. However, existing researches often ignored the heterogeneous effects of different types of technical change on metal consumption intensity. Taking the G7 and BRICS countries as samples, this article first identifies the direct effects of heterogeneous technical change on the consumption intensity of iron ores, copper and aluminum from magnitude of technical change (MTC) and biased technical change (BTC). Then, industrial structure and metal consumption are introduced as mediating variables to identify the indirect effects of heterogeneous technical change. The results show the following: (1) there is a lag in the effect of TC on reducing metal consumption intensity and its effect on iron ore consumption intensity is the most significant. Reduction of iron ore consumption intensity mainly depends on MTC, whereas the reduction of copper and aluminum consumption intensity mainly depends on BTC. (2) The effects of heterogeneous technical change on metal consumption intensity in BRICS countries were consistent with the overall samples, while the effects of BTC on the intensity of copper and aluminum are positive in G7 countries. (3) Three types of technical change can reduce metal consumption intensity through the rationalization and advancement of industrial structure, and their effects are heterogeneous for different metals. (4) TC and BTC cannot reduce metal consumption intensity through reducing metal consumption due to a rebound effect, whereas MTC can significantly reduce iron ore consumption intensity by reducing iron ore consumption.

ACS Style

Yi Song; Jinhua Cheng; Yijun Zhang; Tao Dai; Jianbai Huang. Direct and indirect effects of heterogeneous technical change on metal consumption intensity: Evidence from G7 and BRICS countries. Resources Policy 2021, 71, 101995 .

AMA Style

Yi Song, Jinhua Cheng, Yijun Zhang, Tao Dai, Jianbai Huang. Direct and indirect effects of heterogeneous technical change on metal consumption intensity: Evidence from G7 and BRICS countries. Resources Policy. 2021; 71 ():101995.

Chicago/Turabian Style

Yi Song; Jinhua Cheng; Yijun Zhang; Tao Dai; Jianbai Huang. 2021. "Direct and indirect effects of heterogeneous technical change on metal consumption intensity: Evidence from G7 and BRICS countries." Resources Policy 71, no. : 101995.

Journal article
Published: 18 January 2021 in Energies
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This study investigates the asymmetric cointegration and causal relationships between economic growth, carbon emissions, and energy consumption in the next eleven (11) countries over the period 1972–2013. The nonlinear autoregressive distributed lag (NARDL) bounds testing approach and nonpragmatic Granger causality tests are employed. This research’s empirical results have entrenched vital relationships that have significant policy implications. We affirm nonlinear cointegration among the variables in Bangladesh, Iran, Turkey, and Vietnam. The long-run asymmetric effect outcomes indicate a definite boom in economic growth, significantly increases carbon emission in Turkey, and a decline in Vietnam. Additionally, a positive shock to energy consumption significantly increases the carbon emission in Bangladesh, Iran, and Turkey, but a decrease in emissions in Vietnam. Findings from the Wald test reveal a long-run asymmetric effect between carbon emission and economic growth in Bangladesh, Iran, and Vietnam, and for Iran, an asymmetric short-run impact. Long-run and short-run asymmetric effects between carbon emission and energy consumption in Bangladesh and Iran. In terms of asymmetric causality results, bidirectional causality between carbon emission and economic growth was noted in Bangladesh and Turkey, and a unidirectional causality from economic growth to carbon emission in Egypt and South Korea. Energy consumption causes carbon emission in Bangladesh, Egypt, Pakistan, South Korea, and not vice versa. We determined a bidirectional asymmetric causality relationship between carbon emission and energy consumption in Vietnam and a unidirectional causality link from carbon emissions to Turkey’s energy consumption.

ACS Style

Gideon Kwaku Minua Ampofo; Jinhua Cheng; Edwin Twum Ayimadu; Daniel Akwasi Asante. Investigating the Asymmetric Effect of Economic Growth on Environmental Quality in the Next 11 Countries. Energies 2021, 14, 491 .

AMA Style

Gideon Kwaku Minua Ampofo, Jinhua Cheng, Edwin Twum Ayimadu, Daniel Akwasi Asante. Investigating the Asymmetric Effect of Economic Growth on Environmental Quality in the Next 11 Countries. Energies. 2021; 14 (2):491.

Chicago/Turabian Style

Gideon Kwaku Minua Ampofo; Jinhua Cheng; Edwin Twum Ayimadu; Daniel Akwasi Asante. 2021. "Investigating the Asymmetric Effect of Economic Growth on Environmental Quality in the Next 11 Countries." Energies 14, no. 2: 491.

Journal article
Published: 11 January 2021 in Sustainability
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The purpose of this study is to understand the differentiated impact of politics- and science-oriented education on pro-environmental behavior among university students. A questionnaire was designed and sent to more than 14,000 university students from 152 universities in China using the snowball sampling method. In the questionnaire, the environmental knowledge was divided innovatively into two parts: Science-oriented knowledge spread by traditional environmental education and politics-oriented knowledge spread through political education. The structural equation model was used to understand the conduction path of pro-environmental knowledge, attitude, and behavior. It shows that politics-oriented knowledge has a quicker and stronger effect on improving behavior than science-oriented knowledge. Moreover, there is a significant positive correlation between science- and politics-oriented knowledge. However, the attitude is positively influenced by science-oriented knowledge, instead of politics-oriented knowledge. It suggests that traditional environmental education and political education should be integrated to promote the pro-environmental behavior of university students indirectly and directly, which may provide an opportunity for pro-environmental political education in other countries. The study contributes important theoretical and practical implications for environmental education and sustainable development.

ACS Style

Ran Wang; Tiantian Jia; Rui Qi; Jinhua Cheng; Kang Zhang; Erwei Wang; Xi Wang. Differentiated Impact of Politics- and Science-Oriented Education on Pro-Environmental Behavior: A Case Study of Chinese University Students. Sustainability 2021, 13, 616 .

AMA Style

Ran Wang, Tiantian Jia, Rui Qi, Jinhua Cheng, Kang Zhang, Erwei Wang, Xi Wang. Differentiated Impact of Politics- and Science-Oriented Education on Pro-Environmental Behavior: A Case Study of Chinese University Students. Sustainability. 2021; 13 (2):616.

Chicago/Turabian Style

Ran Wang; Tiantian Jia; Rui Qi; Jinhua Cheng; Kang Zhang; Erwei Wang; Xi Wang. 2021. "Differentiated Impact of Politics- and Science-Oriented Education on Pro-Environmental Behavior: A Case Study of Chinese University Students." Sustainability 13, no. 2: 616.

Journal article
Published: 17 December 2020 in Sustainability
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The goal of China’s low-carbon pilot policy (LCP) is not only to solve the problem of climate change but, more importantly, to achieve the low-carbon transformation of cities. This paper analyzes the industrialization stage’s moderating effect on LCP policy implementation using the difference-in-difference model (DID) with the Low Carbon Development Index (LCDI) as the explained variable. We find that for the low-carbon pilot cities (LCPCs) at the later stage of industrialization, the LCP policy has a positive impact on LCDI, gradually increasing with the study period’s extension. The marginal impact reaches its maximum in the second year after its implementation. For the LCPCs at the middle stage of industrialization, the LCP policy has a weakly negative impact on LCDI. The marginal impact does not change to positive until the fourth year after its implementation. In terms of mechanism analysis, the LCP policy enhances LCDI by slowing down the industrialization process and boosting innovation; the industrialization stage does not constrain the effect. In contrast, the LCP policy’s impact on LCDI by facilitating FDI (Foreign Direct Investment)inflows is strongly influenced by the industrialization stage. For the LCPCs at the later stage of industrialization, the LCP policy can enhance LCDI through FDI. For the LCPCs at the middle stage of industrialization, the LCP policy reduces the inflow of FDI, and the positive effect of FDI on LCDI does not pass the significance test. Thus, this paper argues that a one-size-fits-all strategy to policy implementation should be avoided. Instead, the industrialization stage should be considered a criterion for city classification, and a differentiated target responsibility assessment mechanism should be adopted according to local conditions.

ACS Style

Qi Sun; Qiaosheng Wu; Jinhua Cheng; Pengcheng Tang; Siyao Li; Yantuo Mei. How Industrialization Stage Moderates the Impact of China’s Low-Carbon Pilot Policy? Sustainability 2020, 12, 10577 .

AMA Style

Qi Sun, Qiaosheng Wu, Jinhua Cheng, Pengcheng Tang, Siyao Li, Yantuo Mei. How Industrialization Stage Moderates the Impact of China’s Low-Carbon Pilot Policy? Sustainability. 2020; 12 (24):10577.

Chicago/Turabian Style

Qi Sun; Qiaosheng Wu; Jinhua Cheng; Pengcheng Tang; Siyao Li; Yantuo Mei. 2020. "How Industrialization Stage Moderates the Impact of China’s Low-Carbon Pilot Policy?" Sustainability 12, no. 24: 10577.

Journal article
Published: 01 December 2020 in Resources Policy
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Improving the green total factor productivity (GTFP) of the extractive industries is an important way to promote high-quality and green development of the extractive industries in China. Due to technological heterogeneity, the GTFP in China's extractive industries may be biased and cause efficiency losses. Therefore, we calculated the GTFP from 2006 to 2017 based on metafrontier and data envelopment analysis method, and analyzed the influencing factors. The results show that the contribution of the scale efficiency to the growth of the GTFP is greater than the technological progress from the perspective of the metafrontier. The metafrontier Malmquist-Luenberger index of the extractive industries in both the national and provincial dimensions is greater than one from 2006 to 2017. The technical gap ratio of each group is the inverted “N” type, which gradually increased from 2007 and reached its peak in 2010. The GMM model results show that foreign direct investment has a significant positive impact, and technology and innovation investment, resource endowment, and industrialization level have a significant negative impact. Based on the above results, we suggest that through the government incentive mechanism and related supporting measures, encourage the merger and reorganization among enterprises of extractive industry, strengthen multi-regional exchanges, and encourage the introduction of scarce technologies for clean production in the extractive industry.

ACS Style

Chuandi Fang; Jinhua Cheng; Yongguang Zhu; Jiahao Chen; Xinjie Peng. Green total factor productivity of extractive industries in China: An explanation from technology heterogeneity. Resources Policy 2020, 70, 101933 .

AMA Style

Chuandi Fang, Jinhua Cheng, Yongguang Zhu, Jiahao Chen, Xinjie Peng. Green total factor productivity of extractive industries in China: An explanation from technology heterogeneity. Resources Policy. 2020; 70 ():101933.

Chicago/Turabian Style

Chuandi Fang; Jinhua Cheng; Yongguang Zhu; Jiahao Chen; Xinjie Peng. 2020. "Green total factor productivity of extractive industries in China: An explanation from technology heterogeneity." Resources Policy 70, no. : 101933.

Research article
Published: 01 November 2020 in Carbon Management
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To achieve China’s CO2 emissions targets, all Chinese provinces need to ensure that their CO2 emissions are maintained at a reasonable level to avoid the shortboard effect. This paper proposed an integrated method, the LSTM-STIRPAT, to predict the CO2 emissions in 30 provinces, and assess the drivers of a different region. We divide 30 provinces according to the prediction result into provinces with peak value(PWP) and provinces without peak value(PWTP) and found that (i) Inner Mongolia, Jiangxi, Shandong, Hainan, Chongqing, Guizhou, Qinghai, Xinjiang are failed to reach their CO2 emissions peak by 2030, but almost all provinces experienced a small peak in their carbon emissions from 2008 to 2013; (ii) The ranking of CO2 emissions influencing factors in the PWTP is energy intensity (+) > population density (+) > energy consumption (+) > urbanization rate (−) > GDP per capita (+) > ratio of secondary industry (+); the ranking of CO2 emissions influencing factors in the PWP is energy intensity (+) > ratio of secondary industry (+) > urbanization rate (−) > population density (+) > energy consumption (+) > GDP per capita (−); (iii) PWTP's CO2 emissions show a significant lag effect, of which the ratio of secondary industry accounts for the most significant impact. According to the research results, we put forward relevant targeted measures to achieve China's carbon emissions peak commitments in 2030: (1) PWTP should give priority to encouraging the development of technology and strengthening the utilization of new energy and renewable energy; (2) PWP should give priority to reducing energy intensity, optimizing the industrial structure and accelerating the process of urbanization; (3) CO2 emission reduction in PWTP is a long-term task, it is necessary to adhere to the optimization and adjustment of the industrial structure.

ACS Style

Zhili Zuo; Haixiang Guo; Jinhua Cheng. An LSTM-STRIPAT model analysis of China’s 2030 CO2 emissions peak. Carbon Management 2020, 11, 577 -592.

AMA Style

Zhili Zuo, Haixiang Guo, Jinhua Cheng. An LSTM-STRIPAT model analysis of China’s 2030 CO2 emissions peak. Carbon Management. 2020; 11 (6):577-592.

Chicago/Turabian Style

Zhili Zuo; Haixiang Guo; Jinhua Cheng. 2020. "An LSTM-STRIPAT model analysis of China’s 2030 CO2 emissions peak." Carbon Management 11, no. 6: 577-592.