Displaying publications 41 - 60 of 258 in total

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  1. Are globalization, urbanization, and energy consumption cause carbon emissions in SAARC region? New evidence from CS-ARDL approach
    Azam M, Uddin I, Khan S, Tariq M
    Environ Sci Pollut Res Int, 2022 Dec;29(58):87746-87763.
    PMID: 35821313 DOI: 10.1007/s11356-022-21835-1
    This study examines the impact of energy consumption, urbanization, and globalization on environmental degradation proxied by carbon emissions (CO2) in the South Asian Association for Regional Cooperation (SAARC) countries, namely Sri Lanka, Pakistan, Maldives, Nepal, Bhutan, Bangladesh, and India using data over the period 1990-2018. The cross-sectional autoregressive distributed lag (CS-ARDL), pooled mean group (PMG), and Dumitrescu and Hurlin (D-H) Granger causality techniques are employed for the empirical analysis. First and second-generation panel unit root tests are used to determine the stationary level of all data series which reveals mixed order of integration. The empirical findings show that urbanization, gross domestic product (GDP) per capita income, energy consumption, industrial growth, globalization, and financial development cause CO2 emissions, while the other variables, namely arable land and innovation, put negative effects on CO2 emissions. Moreover, the D-H heterogeneous test results exhibit that bi-directional relationship exists between CO2 and arable land, urbanization, industrial growth, and financial development, while a unidirectional causality exists between CO2 emissions and GDP per head income. These findings suggest that planned urbanization, investment in renewable energy sources, and effective strategies regarding the economic and financial integration with the global economies are required for a clean and green environment.
    Matched MeSH terms: Economic Development*
  2. The role of tourism and renewable energy in testing the environmental Kuznets curve in the BRICS countries: fresh evidence from methods of moments quantile regression
    Aziz N, Mihardjo LW, Sharif A, Jermsittiparsert K
    Environ Sci Pollut Res Int, 2020 Nov;27(31):39427-39441.
    PMID: 32651778 DOI: 10.1007/s11356-020-10011-y
    BRICS are among the rising nations which drive economic growth by excessive utilization of resources and resulting in environment degradation. Although there is bulk of research on environmental Kuznets curve (EKC), very limited studies explored the scope in context of tourism in BRICS countries. So this research is conducted to explore the association of tourism, renewable energy, and economic growth with carbon emissions by using annual data of BRICS countries from the year 1995 to 2018. By using the recent approach of method of moments quantile regression (MMQR), the finding shows that tourism has stronger significant negative effects from 10th to 40th quantile while the effects are insignificant at remaining quantiles. Furthermore, an inverted U-shape EKC curve is also apparent at all quantiles excluding 10th and 20th quantiles. For renewable energy, the results are found negatively significant across all quantiles (10th-90th) which claim that CO2 emission can be reduced by opting renewable sources. Hence, the empirical results of the current study provide insights for policymakers to consume renewable energy sources for the sustainable economic growth and solution of environmental problems.
    Matched MeSH terms: Economic Development
  3. Revisiting the role of forestry, agriculture, and renewable energy in testing environment Kuznets curve in Pakistan: evidence from Quantile ARDL approach
    Aziz N, Sharif A, Raza A, Rong K
    Environ Sci Pollut Res Int, 2020 Mar;27(9):10115-10128.
    PMID: 31989501 DOI: 10.1007/s11356-020-07798-1
    This paper assesses the Environmental Kuznets curve based on quantile behavior of the relationship between economic growth, forest area, agriculture production, renewable energy, and environmental degradation. The current literature generally used a single indicator to address environmental issues; however single indicator neither measures overall environmental conditions nor does specify that the environment issue is generally diminishing. Our study is the first one that used ecological footprint (EF) as an indicator to test environmental Kuznets curve (EKC) hypothesis for Pakistan by employing recent approach of quantile autoregressive distributed lag (QARDL) initiated by Cho et al. (J Econ 188(1):281-300, 2015). The result of this study validates the EKC hypothesis for Pakistan and shows quantile-dependent relationship, and in that case, using the conventional methods may somewhat lead to biased results. Moreover, the rejection of the null hypothesis of parameter constancy is also confirmed by Wald test. In the long run, the findings of renewable energy consumption and forest area show significant negative effects on ecological footprints, which indicates that by increasing renewable energy usage and forest area, ecological footprints can be minimized. Interestingly, the short-term effects of agricultural production findings on EF show statistically negative results. This illustrates that EF can also be reduced in the agriculture sector by adopting environment-friendly technologies. In order to create efficient policies for environment deterioration, the empirical findings of the current analysis can be used as a guideline for policy implications.
    Matched MeSH terms: Economic Development
  4. The role of natural resources, globalization, and renewable energy in testing the EKC hypothesis in MINT countries: new evidence from Method of Moments Quantile Regression approach
    Aziz N, Sharif A, Raza A, Jermsittiparsert K
    Environ Sci Pollut Res Int, 2021 Mar;28(11):13454-13468.
    PMID: 33180287 DOI: 10.1007/s11356-020-11540-2
    We employ the new Method of Moments Quantile Regression approach to expose the role of natural resources, renewable energy, and globalization in testing Environment Kuznets Curve (EKC) in MINT panel covering the years 1995-2018. The outcome validates the EKC curve between economic progress and carbon emissions from the third quantile to the extreme highest quantile. The result also shows that natural resources increase CO2 emissions at the lowest quantile and then turn insignificant from the middle to the highest quantiles due to the potential utilization of resources in a sustainable manner. The renewable energy mitigates CO2 emissions at the lower half quantiles. Still, for upper quantiles, the results are unexpected and imply that the countries' total energy mix depends heavily on fossil fuels. As far as globalization is concerned, the significant results from medium to upper quantiles reveal that as globalization heightens due to foreign direct investment or trade, energy consumption also expands, leading to the worst environment quality. Thus, the present study's consequences deliver guidelines for policymakers to utilize natural resources sustainably and opt technologies based on clean energy, which may offset environmental degeneration.
    Matched MeSH terms: Economic Development*
  5. Fulltext The relationship between socio-demographic and illness-related variables with the quality of life among Malaysian adolescent with thalassaemia: a multi-centre study
    Azizah Othman, Qarem Mohamed Mustafa, Ariffin Nasir, Norsarwany Mohamad, Nurul Shafira Adi, Nurul Ilyana Hashim, et al.
    Malaysian Journal of Paediatrics and Child Health, 2018;24(1):15-26.
    MyJurnal
    Thalassaemia is a life-long illness that exists globally. The quality of life of adolescents with thalassaemia could differ based on the health policies of a specific region, existing levelof socio-economic development and the illness related variables. This study examines the relationship between socio-demographic and disease-related variables with the quality of life among adolescents with thalassaemia involving multiple treatment centers spread throughout various locations in Malaysia. Participants included 218 adolescents (male=108; female 112) with mean age of 13.86 (SD=2.40). They completed the questionnaire consisting of demographic information, illness-related variables, and Pediatric Quality of Life Inventory 4.0 (PedsQL). The participants in this study was found to have higher total summary score (Mean = 69.64, SD = 14.03), psychosocial health (Mean = 70.23, SD = 14.91), emotional (Mean = 72.12, SD = 20.66), social (Mean = 79.82, SD = 17.37), and school (Mean = 58.69, SD = 16.77) functioning but with lower physical health (Mean = 68.50, SD = 17.22) as compared to previous study that was done in Kuala Lumpur. Findings also shows a significant positive correlation between level of education and frequency of hospitalization (r = .156, p < 0.05), frequency of transfusion (r = .152, p < 0.05), and physical health (r = .186, p < 0.01). An increase in the frequency of transfusion was found to significantly increase social functioning (r = .137, p < 0.05). Other significant correlations are discussed in addition to the quality of life experienced by patients with thalassaemia in different region of theworld.
    Matched MeSH terms: Economic Development
  6. Fulltext Associations Between Social Capital and Depressive Symptoms Among College Students in 12 Countries: Results of a Cross-National Study
    Backhaus I, Varela AR, Khoo S, Siefken K, Crozier A, Begotaraj E, et al.
    Front Psychol, 2020;11:644.
    PMID: 32411038 DOI: 10.3389/fpsyg.2020.00644
    Introduction: A mental health crisis has hit university campuses across the world. This study sought to determine the prevalence and social determinants of depressive symptoms among university students in twelve countries. Particular focus was placed on the association between social capital and depressive symptoms.

    Methods: A cross-sectional study was conducted among students at their first year at university in Europe, Asia, the Western Pacific, and Latin and North America. Data were obtained through a self-administered questionnaire, including questions on sociodemographic characteristics, depressive symptoms, and social capital. The simplified Beck's Depression Inventory was used to measure the severity of depressive symptoms. Social capital was assessed using items drawn from the World Bank Integrated Questionnaire to Measure Social Capital. Multilevel analyses were conducted to determine the relationship between social capital and depressive symptoms, adjusting for individual covariates (e.g., perceived stress) and country-level characteristics (e.g., economic development).

    Results: Among 4228 students, 48% presented clinically relevant depressive symptoms. Lower levels of cognitive (OR: 1.82, 95% CI: 1.44-2.29) and behavioral social capital (OR: 1.51, 95% CI: 1.29-1.76) were significantly associated with depressive symptoms. The likelihood of having depressive symptoms was also significantly higher among those living in regions with lower levels of social capital.

    Conclusion: The study demonstrates that lower levels of individual and macro-level social capital contribute to clinically relevant depressive symptoms among university students. Increasing social capital may mitigate depressive symptoms in college students.

    Matched MeSH terms: Economic Development
  7. Towards connecting carbon emissions with asymmetric changes in economic growth: evidence from linear and nonlinear ARDL approaches
    Baloch A, Shah SZ, Habibullah MS, Rasheed B
    Environ Sci Pollut Res Int, 2021 Mar;28(12):15320-15338.
    PMID: 33236304 DOI: 10.1007/s11356-020-11672-5
    The well-established emissions-growth debate relies on the symmetric nexus between CO2 emissions and economic growth, thereby ignoring a fundamental component of macro economy in the form of asymmetric relation. This paper considers how CO2 emissions respond asymmetrically to changes in economic growth. While utilizing both linear and nonlinear time series approaches for an environmentally exposed country, Pakistan over the period 1971-2018, we find convincing evidence that CO2 emissions rise more rapidly during negative shocks to economic growth than increase during economic expansions. Thus, contrary to what has previously been reported, the effect is strong as holds both at short run and long run. This is partly due to the increase in informal sector as GDP declines. Our estimated results show that accounting for the shadow economy results a higher magnitude of CO2 emissions due to decrease in economic growth, thus question the traditional symmetric decoupling of economic growth and CO2 emissions. The estimated results are robust to alternative estimators such as fully modified least squares (FMOLS) and dynamic OLS (DOLS). Thus, the findings of this study call for a re-thinking on climate policy design that rarely pays attention to the aforementioned outcomes due to fall in economic growth.
    Matched MeSH terms: Economic Development*
  8. Green is clean: the role of ICT in resource management
    Batool R, Sharif A, Islam T, Zaman K, Shoukry AM, Sharkawy MA, et al.
    Environ Sci Pollut Res Int, 2019 Aug;26(24):25341-25358.
    PMID: 31256396 DOI: 10.1007/s11356-019-05748-0
    It is well documented that carbon emissions can be reduced by replacing conventional energy resources with renewable energy resources; thereby, the role of green technology is essential as it protect natural environment. Given that, the United Nations' agenda of "green is clean" may be achievable by adoption of green technologies. The objective of the study is to examine the link between information and communication technology (ICT), economic growth, energy consumption, and carbon dioxide (CO2) emissions in the context of South Korean economy, by using a novel Morlet wavelet approach. The study applies continuous wavelet power spectrum, the wavelet coherency, and the partial and the multiple wavelet coherency to the year during 1973-2016. The outcomes reveal that the connections among the stated variables progress over frequency and time domain. From the frequency domain point of view, the current study discovers noteworthy wavelet coherence and robust lead and lag linkages. From the time-domain sight, the results display robust but not consistent associations among the considered variables. From an economic point sight, the wavelet method displays that ICT helps to reduce environmental degradation in a medium and long run in the South Korean economy. This emphasizes the significance of having organized strategies by the policymakers to cope up with 2 to 3 years of the occurrence of the huge environmental degradation in South Korea.
    Matched MeSH terms: Economic Development*
  9. The impact of climate variables on marine fish production: an empirical evidence from Bangladesh based on autoregressive distributed lag (ARDL) approach
    Begum M, Masud MM, Alam L, Mokhtar MB, Amir AA
    Environ Sci Pollut Res Int, 2022 Dec;29(58):87923-87937.
    PMID: 35819668 DOI: 10.1007/s11356-022-21845-z
    Several studies have highlighted the significant impact of climate change on agriculture. However, there have been little empirical enquiries into the impact of climate change on marine fish production, particularly in Bangladesh. Hence, this study aims to investigate the impact of climate change on marine fish production in Bangladesh using data from 1961 to 2019. Data were obtained from the Food and Agriculture Organization, Bangladesh Meteorological Department, the World Development Indicators, and the National Oceanic and Atmospheric Administration. The autoregressive distributed lag (ARDL) model was used to describe the dynamic link between CO2 emissions, average temperature, Sea Surface Temperature (SST), rainfall, sunshine, wind and marine fish production. The ARDL approach to cointegration revealed that SST (β = 0.258), rainfall (β =0.297), and sunshine (β =0.663) significantly influence marine fish production at 1% and 10% levels in the short run and at 1% level in the long run. The results also found that average temperature has a significant negative impact on fish production in both short and long runs. On the other hand, CO2 emissions have a negative impact on marine fish production in the short run. Specifically, for every 1% rise in CO2 emissions, marine fish production will decline by 0.11%. The findings of this study suggest that policymakers formulate better policy frameworks for climate change adaptation and sustainable management of marine fisheries at the national level. Research and development in Bangladesh's fisheries sector should also focus on marine fish species that can resist high sea surface temperatures, CO2 emissions, and average temperatures.
    Matched MeSH terms: Economic Development*
  10. Sustainable electricity consumption in South Africa: the impacts of tourism and economic growth
    Bekun FV, Adekunle AO, Gbadebo AD, Alhassan A, Akande JO, Yusoff NYM
    Environ Sci Pollut Res Int, 2023 Sep;30(42):96301-96311.
    PMID: 37572252 DOI: 10.1007/s11356-023-28856-4
    The current study examines sustainable electricity consumption for economic growth in a small open and tourist economy. The energy-tourism nexus is evaluated for the relationship between sustainable electricity consumption and the international tourist arrival for the South African economy. The present study leverages on annual frequency data for South Africa from 1995 to 2019 for empirical analysis using the ARDL technique. Accordingly, empirical findings indicate a significant direct connection between the sustainable electricity consumption and the international tourism arrival; the study affirms that tourism-induced energy hypothesis is valid in South Africa. However, from a policy standpoint, alternative energy efficiency mechanisms such as renewable energy systems and emancipation of current energy management capabilities are recommended in South Africa. This is necessary for sustainable eco-friendly tourism that engenders clean energy consumption for the study area. More insights into policy caveats are presented in the concluding section.
    Matched MeSH terms: Economic Development*
  11. Geopolitical risk, financial development, and renewable energy consumption: empirical evidence from selected industrial economies
    Ben Abdallah A, Becha H, Sharif A, Bashir MF
    Environ Sci Pollut Res Int, 2024 Mar;31(14):21935-21946.
    PMID: 38400971 DOI: 10.1007/s11356-024-32565-x
    The rapid rise in climate and ecological challenges have allowed policymakers to introduce stringent environmental policies. In addition, financial limitations may pose challenges for countries looking to green energy investments as energy transition is associated with geopolitical risks that could create uncertainty and dissuade green energy investments. The current study uses PTR and PSTR as econometric strategy to investigate how geopolitical risks and financial development indicators influence energy transition in selected industrial economies. Our findings indicate a non-linear DCPB-RE relationship with a threshold equal to 39.361 in PTR model and 35.605 and 122.35 in PSTR model. Additionally, when the threshold was estimated above, financial development indicators and geopolitical risk positively impacts renewable energy. This confirms that these economies operate within a geopolitical context, with the objective of investing more in clean energy. We report novel policy suggestion to encourage policymakers promoting energy transition and advance the sustainable financing development and ecological sustainability.
    Matched MeSH terms: Economic Development
  12. Fulltext An analysis of trade cooperation: Central region in China and ASEAN
    Bhowmik R, Zhu Y, Gao K
    PLoS One, 2021;16(12):e0261270.
    PMID: 34936662 DOI: 10.1371/journal.pone.0261270
    China-ASEAN are the two huge markets in trade world, they can bring out greater dynamism from within their economies and contribute to regional economic development. This study explores the present situation on the trade between the Central region of China and ASEAN through empirical assessment and try to find the potential effects and trade flows between them. Firstly, we analysis the trade integration index, HM index, explicit comparative advantage index, and trade complementarity index. Finally, we use the gravity model of international trade and data on 2006-2018. The bilateral trade relations between the central region and ASEAN are getting closer, but the central region has not yet become the major trade area of ASEAN countries in the Chinese market. The bilateral economic development level plays a positive role in promoting the export trade between the Central region and ASEAN, while the bilateral distance plays a negative role in difficulty. The empirical results show that trade potential between the Central region and Indonesia and the Philippines is huge, and there is still opportunity for the development of the trade potential with Thailand. The trade prospective with Malaysia, Singapore and Vietnam is limited, and new approaches need to be developed to achieve further trade cooperation.
    Matched MeSH terms: Economic Development*
  13. Does sectoral energy consumption depend on trade, monetary, and fiscal policy uncertainty? Policy recommendations using novel bootstrap ARDL approach
    Bhowmik R, Durani F, Sarfraz M, Syed QR, Nasseif G
    Environ Sci Pollut Res Int, 2023 Jan;30(5):12916-12928.
    PMID: 36121630 DOI: 10.1007/s11356-022-22869-1
    Since the inception of the twenty-first century, there has been a profound upsurge in economic policy uncertainty (EPU) with several economic and environmental impacts. Although there exists a growing body of literature that probes the economic effects of EPU, the EPU-energy nexus yet remains understudied. To fill this gap, the current study probes the impact of disaggregated EPU (i.e., monetary, fiscal, and trade policy uncertainty) on energy consumption (EC) in the USA covering the period 1990M1-2020M12. In particular, we use sectoral EC (i.e., energy consumed by the residential sector, the industrial sector, the transport sector, the electric power sector, and the commercial sector) in consort with total EC. The findings from the bootstrap ARDL approach document that monetary policy uncertainty (MP) plunges EC, whereas trade (TP) and fiscal policy uncertainty (FP) escalate EC in the long run. On the contrary, there is a heterogeneous impact of FP and MP across sectors in the short run, while TP does not affect EC. Keeping in view the findings, we propose policy recommendations to achieve numerous Sustainable Development Goals.
    Matched MeSH terms: Economic Development*
  14. How precious metal and energy resources interact with clean energy stocks? Fresh insight from the novel ARDL technique
    Bibi M, Khan MK, Shujaat S, Godil DI, Sharif A, Anser MK
    Environ Sci Pollut Res Int, 2022 Jan;29(5):7424-7437.
    PMID: 34476685 DOI: 10.1007/s11356-021-16262-7
    To boost the stability of economic and financial aspects along with the apprehensions for sustainability, it is important to promote the development of clean energy stocks around the globe. In the current research, the researchers have examined the impact of oil prices, coal prices, natural gas prices, and gold prices on clean energy stock using the autoregressive distribution lag (ARDL) approach from the year 2011 to the year 2020. The result of daily data analysis specifies that in the long as well as in the short run, gold prices, oil prices, and coal prices have a positive and significant effect on clean energy stock. On the other side, natural gas prices in the long as well as in the short run have a negative and significant effect on clean energy stock. So, the empirical analysis of our study is of interest to investors at an institutional level who aim at detecting the risk associated with the clean energy market through proper financial modeling. Besides, this study opens up a new domain to sustain financial as well as economic prospects by protecting the environment through clean energy stock as the investment in clean energy stocks results in producing a substantial effect on the economy and the environment as well.
    Matched MeSH terms: Economic Development
  15. How ICT and globalization interact with the environment: a case of the Chinese economy
    Bibi M, Khan MK, Tufail MMB, Godil DI, Usman R, Faizan M
    Environ Sci Pollut Res Int, 2023 Jan;30(3):8207-8225.
    PMID: 36053426 DOI: 10.1007/s11356-022-22677-7
    An era of rapid changes in the technological and economic aspects of developing and developed countries can have detrimental extortions on the environment around the world. From the perspective of globalization, the rapid development and growth can reroute to enhance the interaction between people, organizations, and countries across the globe including China through the usage of information and communication technology which in turn contributes to the economic growth of one side, whereas on the other side, it affects the environmental quality. Referring to this aspect, this study is focused to inspect the link between information and communication technology, and globalization with the facets of degradation in the environment that as CO2 emission and ecological footprint by keeping the view of economic growth prospects as well via using the EKC hypothesis. In our study, time-series data was employed from 1987 to 2020 for China using the Dynamic ARDL approach. Grounded on the findings of the study, economic growth from the sight of GDP fallouts in rising the emission of CO2 and EFP in the short and long run whereas GDP sqr cause decrease in the CO2 emission and EFP. Thus, this authorizes the presence of inverted U-shaped existence among GDP sqr, CO2 emission, and EFP. Therefore, this provides provision for the EKC hypothesis in China. Furthermore, ICT and globalization cause a decline in the emission of CO2 and EFP in the short and long run respectively. In combatting challenges linked to the environment, globalization, as well as ICT, is seen as a crucial factor based on the pieces of evidence in our study while the policy implications are also proposed in the paper.
    Matched MeSH terms: Economic Development
  16. Exploring the impact of public investment on income, energy consumption, and CO2 emissions in ASEAN: new insights from a panel cointegration approach
    Binh PT, Nguyen TTT
    Environ Sci Pollut Res Int, 2024 Jan;31(4):6301-6315.
    PMID: 38147250 DOI: 10.1007/s11356-023-31588-0
    Policy adjustments can help strike a balance between economic growth and environmental sustainability, which has increasingly been the heart to nations and regions throughout the World. This paper examines how public investment affects economic growth, energy consumption, and CO2 emissions in eight ASEAN countries: Cambodia, Myanmar, Malaysia, Indonesia, the Philippines, Singapore, Thailand, and Vietnam. Extension of a Cobb-Douglas production function and application of panel cointegration techniques reveal bidirectional Granger causation between public investment and both private development and CO2 emissions from 1980 to 2019. Public investment Granger causes energy usage, the opposite does not hold statistically. More findings from pooled mean group estimations show a mean-reversion dynamic that corrects disequilibria by 14% yearly. State investment crowds in private sector growth, energy use, and carbon footprint. It also finds an inverted U-shaped relationship between public investment and energy consumption, and a U-shaped relationship between public investment and CO2 emissions, indicating complex regional interactions. It is suggested the implementation of public investment policies that enrich green infrastructure projects to foster growth while minimizing environmental impacts, and encourage a strategic approach to public investment for prioritizing environmental sustainability and thus, achieving Sustainable Development Goals 7 to 9 and 11 to 13 in this region.
    Matched MeSH terms: Economic Development
  17. The nexus between government spending, economic growth, and tourism under climate change: testing the CEM model for the USA
    Bulut U, Ongan S, Dogru T, Işık C, Ahmad M, Alvarado R, et al.
    Environ Sci Pollut Res Int, 2023 Aug;30(36):86138-86154.
    PMID: 37400702 DOI: 10.1007/s11356-023-28319-w
    This study examines the impact of government spending, income, and tourism consumption on CO2 emissions in the 50 US states through a novel theoretical model derived from the Armey Curve model and the Environmental Kuznets Curve hypothesis. The findings of this research are essential for policymakers to develop effective strategies for mitigating environmental pollution. Utilizing panel cointegration analysis, the study provides valuable insights into whether continued increases in government spending contribute to higher pollution levels. By identifying the threshold point of spending as a percentage of GDP, policymakers can make informed decisions to avoid the trade-off between increased spending and environmental degradation. For instance, the analysis reveals that Hawaii's tipping point is 16.40%. The empirical results underscore the importance of adopting sustainable policies that foster economic growth while minimizing environmental harm. These findings will aid policymakers in formulating targeted and efficient approaches to tackle climate change and promote long-term environmental sustainability in the United States. Moreover, the impact of tourism development on CO2 emissions varies across states, with some US states experiencing a decrease while others see an increase.
    Matched MeSH terms: Economic Development*
  18. Impact of financial development and technological innovation on the volatility of green growth-evidence from China
    Cao J, Law SH, Samad ARBA, Mohamad WNBW, Wang J, Yang X
    Environ Sci Pollut Res Int, 2021 Sep;28(35):48053-48069.
    PMID: 33904131 DOI: 10.1007/s11356-021-13828-3
    China's green growth has shown a trend of fluctuation year by year. Simultaneously, Chinese local governments have pursued simple economic growth driven by the interests of "political competition" for a long time, while the supervision of the ecological environment has been loosened and tightened. In this environment, financial development and technological innovation may easily become the accelerator of this phenomenon, thus exacerbating the fluctuation of green growth. To deeply excavate the key factors to achieve stable and sustained growth of green economy, based on the annual panel data of 30 provinces in China from 2011 to 2018, this paper studies the impact of financial development and technological innovation on the volatility of green growth using dynamic system GMM method. The findings of this paper are shown as follows: First, the expansion of financial institutions' scale will significantly enhance the volatility of green growth. Second, the increase in the scale of the stock market will also significantly cause green growth fluctuations. Third, the interaction between financial development and technological innovation can significantly weaken the volatility of green growth. Fourth, financial development measured by stock market indicators is more efficient than financial development measured by financial institutions indicators to curb the volatility of green growth. Fifth, the fluctuation of green growth in the previous period will reduce the volatility of green growth in the current period. This study provides new evidence for exploring the power source to promote the stability and sustainable growth of the green economy in the special stage of financial and technological integration. Controlling the development scale of financial institutions and removing their state preferences, expanding the development of capital markets, and deepening the integration of financial development and technological innovation are conducive to achieve stable green growth.
    Matched MeSH terms: Economic Development*
  19. Fulltext A community health screening conducted at Sungai Pinang township, state of Pulau Pinang, Malaysia
    Chai Fung Kiew, Chee Ping Chong
    Malaysian Journal of Pharmaceutical Science, 2013;11(1):59-68.
    MyJurnal
    Non-communicable diseases are raising much concern in Malaysia due to changing lifestyles which is parallel to the economic development. Intervention program like community health screening (CHS) allows early detection, prevention and reduction of chronic diseases and its risk factors. This study aimed to assess the obesity level, risk factors for chronic diseases and blood cholesterol level among the Malaysian public. A health screening program was conducted on April 2012 at Sungai Pinang township, in the state of Pulau Pinang, Malaysia. A convenient sample of the general public was recruited. Screening tests consisted of measurements of blood pressure, body mass index (BMI), body fat percentage, visceral fat accumulation (VFA) and blood cholesterol. Chi-square analysis was used to determine the difference between prevalence of obesity among subjects with different age groups and gender. Out of 76 recruited subjects, 23.7% had systolic blood pressure of 140 mmHg or greater and 7.9% had diastolic blood pressure of 90 mmHg or greater. Approximately 51% of the subjects were obese (BMI ≥ 27.5 kg/m2). Body fat percentage was high in 63.6% and 63.0% of male and female subjects, respectively. High VFA (≥15) was found in 19.8% of subjects. There were three newly discovered hypercholesterolemia cases (total cholesterol ≥ 5.2 mmol/L). Counselling was given during the health screening program to help the public to take necessary measures to reduce risk factors while preventing complication resulting from these chronic diseases. In conclusion, prevalence of obesity found to be high in the present screened population.
    Matched MeSH terms: Economic Development
  20. Assessing the effect of climate change and financial development on agricultural production in ASEAN-4: the role of renewable energy, institutional quality, and human capital as moderators
    Chandio AA, Shah MI, Sethi N, Mushtaq Z
    Environ Sci Pollut Res Int, 2022 Feb;29(9):13211-13225.
    PMID: 34585355 DOI: 10.1007/s11356-021-16670-9
    This paper examines the effect of climate change and financial development on agricultural production in ASEAN-4, namely Indonesia, Malaysia, the Philippines, and Thailand from 1990 to 2016. Further, we explore the role of renewable energy, institutional quality, and human capital on agricultural production. Since the shocks in one country affect another country, we use second-generation modeling techniques to find out the relationship among the variables. The Westerlund (2007) cointegration tests confirm long-run relationship among the variables. The results from cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model reveal that climate change negatively affects agricultural production; on the other hand, renewable energy, human capital, and institutional quality affect positively agricultural production. Moreover, renewable energy utilization, human capital, and intuitional quality moderates the effect of carbon emission on agricultural production. In addition, a U-shaped relationship exists between financial development and agricultural production, suggesting that financial development improves agricultural production only after reaching a certain threshold. Hence, this study suggests that ASEAN-4 countries must adopt flexible financial and agricultural policies so that farmers would be benefitted and agricultural production can be increased.
    Matched MeSH terms: Economic Development*
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