Coupled coordination and pathway analysis of food security and carbon emission efficiency under climate-smart agriculture orientation.

Owing to the contradiction between agricultural production and environmental development, the issues of food security and carbon mitigation cannot be isolated, and achieving coupled and coordinated development is the key to agricultural sustainability. This study adopted the coupled coordination model and dynamic qualitative comparative analysis (dynamic QCA) method to measure the coupled coordination degree (CCD) of the food security index (FSI) and agricultural carbon emission efficiency (ACEE) in 31 provinces of China from 2010 to 2021, seeking paths to achieve high coupled coordination from Climate-Smart Agriculture technology, external environment, and incentive dimensions, and simulating path selection differences under various CSA priority scenarios. The results indicated that the CCD of the FSI and ACEE in China significantly increased year-on-year increase, with significant regional differences primarily reflected in the Northeast > East > West > Central regions. Based on the CSA orientation, the "technology-environmental safeguard" linkage path and the "technology-environment-incentive" hybrid path are proposed. There are differences in CSA practices across regions, which require customization based on their unique socioeconomic, ecological, and political landscapes. When priorities favour food security, the "technology-environment-incentive" hybrid pathway supports high CCD, and as priorities increase, the contribution of CSA technologies, centred on water-saving irrigation, increases and the role of the external environment diminishes. When the priority tendency is to mitigate emissions, both paths can achieve high CCD. As the priority tendency for carbon emissions increases, urbanisation and CSA technologies such as water-saving irrigation and straw return become essential factors contributing to higher coupling coordination, and the role of agriculture-related financial expenditures diminishes. These findings provide policy support for safeguarding food security and low-carbon agriculture.

Impact of energy imports, renewable electricity production, alternative, and nuclear energy sources on natural gas resource rents.

The world faces several problems related to natural gas resource rents and energy production from renewable sources. One of the main problems is the influence of energy imports, manufacturing exports, and alternative energy sources on natural gas and electricity production from renewable sources. Energy imports, manufacturing exports, and alternative energy sources can impact natural gas and electricity production. This paper examines natural gas resource rents and electricity production from renewable sources nexus from 1971 to 2021, using energy imports, manufacturer's exports, and alternative energy sources in China. Electricity production from renewable sources and manufacturing exports are negatively associated with natural gas resource rents. Energy imports and alternative energy sources positively relate to natural gas resource rents in China. These results suggest that the energy sector in China is highly interconnected and that policies that seek to promote renewable energy sources and other alternatives can positively affect natural gas resource rents. China needs to develop an energy policy considering the policy implications of energy imports and natural gas resource rents. Such a policy should focus on increasing domestic production, reducing energy imports, and ensuring adequate revenue from natural gas resource rents. Additionally, regulations could be implemented that support the development of alternative energy sources, such as requiring utilities to purchase a certain percentage of their power from renewable sources.

How do energy supply and energy use link to environmental degradation in China?

China's energy supply and energy use are closely linked to environmental degradation. The country's heavy reliance on coal, oil, and natural gas, as well as its rapidly growing demand for energy, have contributed to air and water pollution, soil erosion, and other environmental problems. To address these issues, China must transition to cleaner and more sustainable forms of energy and implement policies to reduce energy demand and promote conservation. This paper explores the impacts of total primary energy supply and energy use on environmental degradation in China, using international trade and economic growth as moderating variables from 1971 to 2019. The results indicate that the total primary energy supply is significant at a 1% significance level, which suggests that it strongly impacts the ecological footprint. Energy use and international trade are significant at a 5% level, indicating that they also influence ecological footprint, albeit to a lesser extent. Economic growth is significant at a 1% significance level, suggesting a strong positive association with the ecological footprint. Energy supply improves the environment in China, whereas energy use degrades the environment. Policymakers should focus on promoting energy efficiency in the industrial and transportation sectors. This can be achieved through the implementation of energy-saving technologies, the promotion of public transportation, and the development of low-carbon transportation systems.

Involvement, leadership and social practice to the development of postgraduate attributes: evidence from extracurricular education with Chinese characteristics.

Limited by students' time and energy, participation in extracurricular activities is not necessarily beneficial to the development of postgraduate attributes. Thus, it is necessary to explore the impact path of extracurricular activities and education outcomes on the development of postgraduate attributes. From a configuration perspective, this study identifies the asymmetric causal effects of engagement and extracurricular education on postgraduate attributes. First, this study proposes a theoretical framework for postgraduate attribute development in extracurricular education with Chinese characteristics based on the input-environment-output (IEO) theory. Second, 166 academic scholarship applications submitted by the whole third-grade postgraduates who are from a science and engineering school at a double first-class university in China are taken as the sample. Finally, utilizing data envelopment analysis (DEA) and fuzzy set qualitative comparative analysis (fsQCA), this study conducts the effect of the combination of causal conditions on the development of postgraduate attributes. Results are as follows: (1) the development efficiency of postgraduate attribute in extracurricular education with Chinese characteristics is practical but still insufficient; (2) four configurations consistently linked to high development efficiency of postgraduate attributes. Specifically, in context with outstanding academic research achievement and excellent moral character, participating in extracurricular education or not consistently linked to high development efficiency. In contrast, in a context characterized by academic achievement or moral award not outstanding enough, involvement in extracurricular activities or social practice is consistently linked to high development efficiency. In addition, no configuration links student leadership to high development efficiency, and non-scientific research ability is consistently linked to low development efficiency; (3) there is an asymmetric causal relationship between the high and low development efficiency paths, indicating that the conditions affecting the development of postgraduate attributes have multiple concurrencies. These findings provide a new practical path and perspective for promoting the development of postgraduate attributes through extracurricular education with Chinese characteristics.

Impact of the Moderating Effect of National Culture on Adoption Intention in Wearable Health Care Devices: Meta-analysis.

BACKGROUND: Wearable health care devices have not yet been commercialized on a large scale. Additionally, people in different countries have different utilization rates. Therefore, more in-depth studies on the moderating effect of national culture on adoption intention in wearable health care devices are necessary. OBJECTIVE: This study aims to explore the summary results of the relationships between perceived usefulness and perceived ease of use with adoption intention in wearable health care devices and the impact of the moderating effect of national culture on these two relationships. METHODS: We searched for studies published before September 2021 in the Web of Science, EBSCO, Engineering Village, China National Knowledge Infrastructure, IEEE Xplore, and Wiley Online Library databases. CMA (version 2.0, Biostat Inc) software was used to perform the meta-analysis. We conducted publication bias and heterogeneity tests on the data. The random-effects model was used to estimate the main effect size, and a sensitivity analysis was conducted. A meta-regression analysis was used to test the moderating effect of national culture. RESULTS: This meta-analysis included 20 publications with a total of 6128 participants. Perceived usefulness (r=0.612, P<.001) and perceived ease of use (r=0.462, P<.001) positively affect adoption intention. The relationship between perceived usefulness and adoption intention is positively moderated by individualism/collectivism (ß=.003, P<.001), masculinity/femininity (ß=.008, P<.001) and indulgence/restraint (ß=.005, P<.001), and negatively moderated by uncertainty avoidance (ß=-.005, P<.001). The relationship between perceived ease of use and adoption intention is positively moderated by individualism/collectivism (ß=.003, P<.001), masculinity/femininity (ß=.006, P<.001) and indulgence/restraint (ß=.009, P<.001), and negatively moderated by uncertainty avoidance (ß=-.004, P<.001). CONCLUSIONS: This meta-analysis provided comprehensive evidence on the positive relationship between perceived usefulness and perceived ease of use with adoption intention and the moderating effect of national culture on these two relationships. Regarding the moderating effect, perceived usefulness and perceived ease of use have a greater impact on adoption intention for people in individualistic, masculine, low uncertainty avoidance, and indulgence cultures, respectively.

Knowledge domain and emerging trends of climate-smart agriculture: a bibliometric study.

Climate-smart agriculture (CSA) is a new agricultural development pattern to address future food crises. Since CSA was proposed in 2010, it has attracted the attention of scholars from all over the world. It is of great significance to scientifically summarize the overview and emerging trends of CSA research, providing ideas for scholars concerned about CSA to engage in research in this field. Based on bibliometrics and CSA-related literature data in the WOS database, this paper used CiteSpace software to draw knowledge maps to scientifically analyze publications in the field of CSA. Our study found that (1) CSA research is showing a rapid upward trend, focusing on the environmental sciences and agricultural economic management; (2) international organizations such as the FAO, World Bank, and the international agricultural research institute have made significant contributions to CSA research; (3) among the nine clusters in the CSA literature, CSA practice, conservation agriculture, smallholder farmers, and sub-Saharan Africa have been consistently given high attention; (4) CSA research can be divided into three phases, and the research hotspots have transferred from essential elements of CSA to household and carbon emissions. We believe that in future research, more attention should be paid to the trade-off and synergy of the three pillars of CSA, as well as the investment, finance, and evaluation criteria of CSA. Such strengthening is of great significance to the sustainable promotion of CSA.

Testing the heterogeneous effect of air transport intensity on CO2 emissions in G20 countries: An advanced empirical analysis.

This study investigates the heterogeneous impact of air transport intensity, air passenger transport, and air freight transport on air transport carbon emissions in G20 countries for the period of 1990-2016. The paper employs a robust and advanced fixed-effect panel quantile regression model that considers unobserved discrete and distributional heterogeneity. Our empirical results show that the impact of the independent variables on air transport carbon emissions is quite heterogeneous across various quantiles. More specifically, the effect of air transport intensity, air passenger transport, and air freight transport on carbon emissions is positive and becomes more assertive with the increasing trend at upper quantiles and is quite heterogeneous across all quantiles. Economic growth, urbanization, and tourism are significant contributing factors in enhancing air transport CO2 emissions, while crude oil price significantly reduces CO2 emissions. The Dumitrescu and Hurlin causality test estimates indicate that a bidirectional relationship extends from air transport intensity, air passenger transport, and air freight transport to air transport CO2 emissions. The findings underline the need for cleaner, renewable, and environmentally sustainable energy sources for air transport operations.

Exploring the driving forces on sustainable energy and water use in China.

With the rapid growth of global demand for water and energy, the two increasingly restrict economic and social development. The total energy consumption and water use are positively correlated. Identifying the key drivers influencing the energy-water development can realize national resource management and sustainable supplement. In this context, this study aims to capture the key driving forces that affect the sustainable energy-water development characteristics in Chinese change processes throughout 2000-2017. Five driving forces, the EW intensity effect, industrial structure effect, GDP value-added effect, income improvement effect, and population-scale effect, were further decomposed by the logarithmic mean Divisia index (LMDI) model to explore the energy consumption and water use. Our findings indicated that the largest and lowest energy consumers were the manufacturing and construction sectors, while agriculture accounted for the largest share in water use. During the three time intervals, the cumulative effects increased the EW use, but the contributions were declining. Further, these effects had a more prominent influence on water use than energy consumption; GDP value-added effect, income improvement effect, and population-scale effect increased the EW use, while intensity effect played a vital role in decreasing EW use during the study period. Notably, the industrial structure effect had a seesaw role during 2000-2006, which led to a tradeoff between various driving factors. In future sustainable issues, policymakers should pay more attention to energy-saving than water-saving to achieve the national energy and water conservation targets.

Non-linear spatial linkage between COVID-19 pandemic and mobility in ten countries: A lesson for future wave.

BACKGROUND: Restrictive measures enacted in response to the COVID-19 pandemic have resulted in dramatic and substantial variations in people's travel habits and behaviors worldwide. This paper empirically examines the asymmetric inter-linkages between transportation mobility and COVID-19. METHODS: Using daily data from 1st March 2020 to 15th July 2020, this study draws the dynamic and causal relationships between transportation mobility and COVID-19 in ten selected countries (i.e., USA, Brazil, Mexico, UK, Spain, Italy, France, Germany, Canada, and Belgium). To systematically analyze how the quantiles of COVID-19 (transportation mobility) affect the quantiles of transportation mobility (COVID-19), a complete set of non-linear modeling including the quantile-on-quantile (QQ) regression and quantile Granger causality in mean is applied. RESULTS: Our preliminary findings strictly reject the preposition of data normality and highlight that the observed relationship is highly correlated and quantile-dependent. The empirical results demonstrate the heterogeneous dependence between COVID-19 and transportation mobility across quantiles. The findings acclaim the presence of a significant positive association between COVID-19 and transportation mobility in the USA, UK, Spain, Italy, Canada, France, Germany and Belgium, predominantly at upper quantiles, but results are contrasting in the case of Brazil and Mexico. In addition, either lower or upper quantiles of both variables indicate a declining negative effect of transportation mobility on COVID-19. Furthermore, the outcomes of quantile Granger causality in mean conclude a bidirectional causal link between COVID-19 and transportation mobility for almost all sample countries. Unlike them, France has found unidirectional causality that extends from COVID-19 to transportation mobility. CONCLUSIONS: We may conclude that COVID-19 leads to a reduction in transportation mobility. On the other hand, the empirical results quantify that excessive transportation mobility levels stimulate pandemic cases, and social distancing is one of the primary measures to encounter infection transmission. Imperative country-specific policy implications pertaining to public health, potential virus spread, transportation, and the environment may be drawn from these findings.

The nexus between road transport intensity and road-related CO2 emissions in G20 countries: an advanced panel estimation.

This study determines the dynamic linkages between road transport intensity, road transport passenger and road transport freight, and road carbon emissions in G20 countries in the presence of economic growth, urbanization, crude oil price, and trade openness for the period of 1990 to 2016, under the multivariate framework. This study employs the residual-based Kao and Westerlund cointegration technique to find long-run cointegration, and continuously updated bias-corrected (CUP-BC) and continuously updated fully modified (CUP-FM) methods to check the long-run elasticities between the variables. The long-run estimators' findings suggest a positive and significant impact of road transport intensity, road passenger transport, road freight transport on road transport CO2 emissions. Economic growth and urbanization are significant contributing factors in road transport CO2 emissions, while trade openness and crude oil price significantly reduce road transport CO2 emissions. The Dumitrescu and Hurlin causality test results disclose unidirectional causality from road transport intensity and road transport freight to the road transport CO2 emissions. However, the causality between road passenger transport and road transport CO2 emissions is bidirectional. Finally, comprehensive policy options like subsidizing environmental-friendly technologies, developing green transport infrastructure, and enacting decarbonizing regulations are suggested to address the G20 countries' environmental challenges.

Time-frequency co-movement between COVID-19, crude oil prices, and atmospheric CO2 emissions: Fresh global insights from partial and multiple coherence approach.

This paper endeavors to analyze and provide fresh global insights from the asymmetric nexus between the recent outbreak of COVID-19, crude oil prices, and atmospheric CO2 emissions. The analysis employs a unique Morlet's wavelet method. More precisely, this paper implements comprehensive wavelet coherence analysis tools, including continuous wavelet coherence, partial wavelet coherence, and multiple wavelet coherence to the daily dataset spanning from December 31, 2019 to May 31, 2020. From the frequency perspective, this paper finds significant wavelet coherence and vigorous lead and lag connections. This analysis ascertains significant movement in variables over frequency and time domain. These results demonstrate strong but varying connotations between studied variables. The results also indicate that COVID-19 impacts crude oil prices and the most contributor to the reduction in CO2 emissions during the pandemic period. This study offers practical and policy implications and endorsements for individuals, environmental experts, and investors.

A Bibliometric Analysis of Crowdsourcing in the Field of Public Health.

With the characteristics of low cost and open call, crowdsourcing has been widely adopted in many fields, particularly to support the use of surveys, data processing, and the monitoring of public health. The objective of the current study is to analyze the applications, hotspots, and emerging trends of crowdsourcing in the field of public health. Using CiteSpace for the visualization of scientific maps, this study explores the analysis of time-scope, countries and institutions, authors, published journals, keywords, co-references, and citation clusters. The results show that the United States is the country with the most publications regarding crowdsourcing applications for public health. Howe and Brabham are the two leading authors in this field. Further, most of the articles published in this field are found in medical and comprehensive journals. Crowdsourcing in public health is increasing and diversifying. The results of this study will enable and support the analysis of the specific role of crowdsourcing in the public health ecosystem.

Decomposition analysis of energy-related CO2 emission in the industrial sector of China: Evidence from the LMDI approach.

Energy consumption and increasing CO2 emissions in China are mainly indorsed to the industrial sector. The objective of this study was to explore the main factors driving CO2 emissions in China's industry throughout 1991-2016. Based on the log-mean Divisia index (LMDI) method, this study decomposes the change of industry-related CO2 emissions into energy structure effect, income effect, energy intensity effect, carbon emission, and labor effect. The core results indicate that CO2 emissions in China's industry experienced a significant increase from 738.5 to 7271.8 Mt during 1991-2013, while it decreased to 6844.0 Mt in 2016. The income effect and labor effect are the top two emitters, which accounted for increases of 351.8 Mt and 57.8 Mt in CO2 emissions respectively. Additionally, the energy structure effect also played a role in increasing CO2 emissions. Energy intensity and carbon emission effects are the most important factors in reducing CO2 emissions. The policy suggestions about the different period-wise analyses in terms of economic growth, energy structure, and energy intensity are provided.

Natural resources, globalization, and economic growth: evidence from Pakistan.

Globalization is increasingly a driving force behind vibrant economies around the world. This paper discusses the impact of globalization and natural resources on economic growth from 1970 to 2014 in Pakistan. Based on an auto-regressive distributive lag (ARDL) model, the paper infers that globalization promotes economic growth in Pakistan. Natural resources also contribute to economic growth, as the causality results suggest bi-directional causality between globalization and use of natural resources. Policy implications are that countries should emphasize security, increase exports, encourage technological strength, and increase its intellectual management capacity.

Does information and communication technologies improve environmental quality in the era of globalization? An empirical analysis.

This study intends to examine the impact of ICTs (i.e., internet usage and mobile cellular subscriptions), globalization, electricity consumption, financial development, and economic growth on environmental quality by using 1994-2014 panel data of BRICS economies. This study employed a second-generation panel unit root test accounting for the presence of cross-sectional dependence and indicated that carbon dioxide emissions, electricity consumption, financial development, internet usage, mobile usage, globalization, and economic growth have integration of order one. The results from Westerlund panel co-integration test confirms that the variables are co-integrated and revealed that ICT-finance-globalization-electricity-GDP-CO2 nexus has long-run equilibrium relationship. The results from dynamic seemingly unrelated regression (DSUR) indicate that internet usage and mobile cellular subscriptions (ICTs) have significant, adverse impact on carbon dioxide emissions. To put it simply, ICT positively contributes towards environmental quality. Similarly, economic growth also has an adverse effect on carbon dioxide emissions. On the other hand, electricity consumption, globalization, and financial development have a significant positive effect on carbon emissions. In addition, Granger causality test results show the presence of a bidirectional causal relationship between internet usage and environmental quality, financial development and electricity consumption, ICT and financial development, mobile cellular subscription and globalization, economic growth and environmental quality, and internet usage and economic growth. A unidirectional causal link is detected running from mobile cellular subscriptions towards environmental quality, ICT towards electricity consumption, financial development towards environmental quality, globalization towards environmental quality, and globalization towards economic growth. Moreover, time series analysis has also been done in this study to analyze the findings for each of BRICS countries which are directed towards important policy implications. For instance, ICT policy can play an integral part in improving environmental quality policy.

Economic growth, natural resources, and ecological footprints: evidence from Pakistan.

The ecological footprint, a measure of human demand on earth's ecosystems, represents the amount of biologically productive land and sea area that is necessary to supply the resources a human population consumes and to mitigate associated waste. This study estimates the impact of economic growth and natural resources on Pakistan's ecological footprint using an autoregressive distributive lag (ARDL) model for long-run estimation. The empirical findings indicate that natural resources have a positive effect on an ecological footprint that deteriorates environmental quality and that natural resources help to support the environmental Kuznets hypothesis (EKC). Bidirectional causality is found between natural resources and the ecological footprint, along with a long-run causality between biocapacity and the ecological footprint. The innovative findings have important implications for policy.

Financial development, globalization, and CO2 emission in the presence of EKC: evidence from BRICS countries.

This study examines the impact of energy consumption, financial development, globalization, economic growth, and urbanization on carbon dioxide emissions in the presence of Environmental Kuznets Curve (EKC) model for BRICS economies, by using a family of econometric techniques robust to heterogeneity and cross-sectional dependence. Results from LM test, CIPS and CADF unit root test, Westerlund Cointegration test, the Dynamic seemingly unrelated regression (DSUR), and Dumitrescu-Hurlin Granger causality test show that (i) the data is cross sectionally dependent and heterogeneous; (ii) carbon dioxide emissions, energy consumption, financial development, globalization, economic growth, square of GDP and urbanization have integration of order one; (iii) the examined variables are co-integrated; (iv) energy consumption and financial development contribute to the carbon dioxide emissions whereas globalization and urbanization have negative but insignificant relationship with carbon dioxide emissions; (v) supports the EKC hypothesis in BRICS economies; (vi) bidirectional causality exists among energy consumption, financial development, economic growth and square of GDP with carbon dioxide emissions whereas globalization and urbanization have unidirectional relationship with carbon dioxide emissions. Since these panel techniques account for heterogeneity and cross-sectional dependence in their estimation procedure, the empirical results are robust and reliable for policy recommendations. Furthermore, this study also uses time series tests (ADF, P-P, and FMOLS) to find the empirical results for each of the country and finds mixed results. Empirical findings directed towards some important policy implications.