scholarly journals Effects of Technological Progress from Different Sources on Haze Pollution in China

2021 ◽  
Vol 13 (5) ◽  
pp. 2730
Author(s):  
Yuan Zhao ◽  
Tian Zhang ◽  
Ting Wu ◽  
Shujing Xu ◽  
Shuwang Yang

Technological progress has always been regarded as an important factor affecting haze pollution. A large number of academic studies have focused on the effect of technological progress on haze pollution, but there are few discussions on the effects of technological progress from different sources. In view of this, a dynamic panel model is constructed, and a systematic generalized method of moments (GMM) method is applied to empirically test the overall impact of technological progress from different sources on haze pollution and the regional heterogeneity of the impact. The results show that the overall and regional impact of technological progress from different sources on haze pollution is entirely different. Among them, for the whole country, independent innovation has a significant inhibitory effect on haze pollution, and technology introduction has aggravated haze pollution to a certain extent. At the regional level, all types of technological progress in the east can effectively reduce haze, the central region having haze reduction results consistent with the overall national level, and in the west, independent innovation and direct introduction can effectively reduce haze, while reverse technology spillover is ineffective. Therefore, policy recommendations such as improving the ability of independent innovation, improving the quality of technology introduction, and coordinating regional technology against haze are put forward.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Razali Haron ◽  
Naji Mansour Nomran ◽  
Anwar Hasan Abdullah Othman ◽  
Maizaitulaidawati Md Husin ◽  
Ashurov Sharofiddin

Purpose This study aims to evaluate the impact of firm, industry level determinants and ownership concentration on the dynamic capital structure decision in Indonesia and analyses the governing theories. Design/methodology/approach This study uses the dynamic panel model of generalized method of moments-System (one-step and two-step) by using a panel data from 2000 to 2014 to examine the relationship between the determinants and leverage. The results are robust to the various definitions of leverage, heterogeneity, autocorrelation, multicollinearity and endogeneity concern. Findings Growing firms and firms operating in a highly concentrated industry use high level of debt, taking advantage of the tax shield (trade-off theory). However, if the firms are operating in a highly dynamic environment, they take on less debt as to avoid bankruptcy risk. Firms in Indonesia opt for debt financing perhaps to act as a controlling mechanism to mitigate agency conflicts that may exist between the large controlling shareholders and the minority. Aged and highly profitable firms with high tangible and intangible assets and liquidity level operating in a high dynamic environment follow the pecking order theory. Research limitations/implications This study does not perform each industry regression individually. All the industries are pooled together, as the main focus of this study is to examine the factors affecting leverage of firms in general without giving particular attention to individual industry. Originality/value The insights on the impact of ownership concentration and industry characteristics are novel especially on Indonesia, thus fill the gap in the literature.


2020 ◽  
Vol 8 ◽  
Author(s):  
Wancheng Xie ◽  
Taihua Yan ◽  
Senmao Xia ◽  
Fengzhang Chen

With the increasingly prominent problems of global resource consumption and environmental pollution, industrial green transformation has become one of the requirements of China’s industrial development in the new era. However, there is a lack of research on the impact of technological innovation and technology introduction on the industrial green transformation of resource-based cities. To bridge this gap, this study uses the panel data of 115 resource-based cities in China from 2003 to 2016, and uses the dynamic panel generalized method of moments (GMM) estimation method to study the impact of technological innovation and technology introduction on industrial green transformation of resource-based cities. The results show that technology introduction has a negative effect on the industrial green transformation of resource-based cities, while technological innovation can have a positive effect. Meanwhile, technology introduction has imparted a greater role to technological innovation in promoting this transformation. In addition, the interactive effects between technological innovation and technology introduction have obvious heterogeneity on the industrial green transformation of different types of resource-based cities. Therefore, resource-based cities should continue to increase investment in scientific research, to constantly improve and consolidate their technological innovation ability, optimize foreign investment strategy in technology introduction, and strengthen the digestion and absorption of imported technology, while increasing technological innovation and personnel training.


2021 ◽  
Author(s):  
Xiaohong Liu

Abstract Panel data of 234 cities in China from 2011 to 2018 is used to measure the urban shrinkage index. PM2.5 is used as an indicator of haze pollution, and labour supply is the mediator. On this basis, the influence mechanism of haze pollution on urban shrinkage is analysed theoretically. Next, using the dynamic panel model and the mediating effect model, we empirically examine the impact of urban shrinkage on haze pollution and the mediating effect of labour supply. The main findings are as follows: haze pollution increases the degree of urban shrinkage, and labour supply plays a regulatory role in the process of haze pollution affecting urban shrinkage. According to our research, pertinent policies and suggestions are proposed to reduce both urban shrinkage and haze pollution.


2019 ◽  
Vol 7 (4) ◽  
pp. 64 ◽  
Author(s):  
Song ◽  
Deng ◽  
Wu

This study establishes a dynamic panel model for 12 Chinese-listed commercial banks and seven international commercial banks. More specifically, it examines the impact of green credit on the profitability of commercial banks and the differences between China and other countries while using the generalized method of moments. The research shows that the Equatorial Principles project-financing ratio of international banks positively affects bank profitability, while the ratio of green credit for Chinese commercial banks is inversely related to their profitability. Further, a comparative study of China and other countries highlights that the green credit business is at significantly different stages in China and the rest of the world. This study also finds that the profitability of China’s banking sector is positively affected by asset size, management expense ratio, cash ratio, and GDP growth rate, in addition to the common influencing factor of non-performing loan ratio, whereas asset size and capital adequacy ratio negatively affects the international banking sector. Drawing on these empirical conclusions, this study offers suggestions for the further development of green credit in Chinese commercial banks.


Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1971
Author(s):  
Michal Gluszak ◽  
Agnieszka Malkowska ◽  
Bartłomiej Marona

The goal of the paper is to evaluate the impact of selected factors on the adoption of LEED (Leadership in Energy and Environmental Design) green building certification in Europe. In the empirical part of the paper we track the fraction of LEED-registered office space in selected European cities, and assess the impact of selected socioeconomic and environmental factors on the certification adoption rate. This research contributes to the ongoing debate about the adoption of green buildings in commercial property markets. In this paper, we investigate factors affecting the adoption of LEED certification using the Arellano and Bond generalized method-of-moments estimator. Compared to prior studies, which relied on cross-sectional data, our research uses a panel approach to investigate the changes in green building adoption rates in selected European cities. Among the cities that are quickly adopting LEED are Frankfurt, Warsaw, Stockholm, and Dublin. The adoption process was not equally fast in Brussels and Copenhagen. Using the dynamic panel model approach, we found that the adoption of green building certification is linked to overall innovativeness in the economy and the perceived greenness of the city. Contrary to some previous studies we did not observe links between the size of the office market and the LEED adoption rate.


2021 ◽  
Author(s):  
Benjamin-Samuel Schlüter ◽  
Bruno Masquelier ◽  
Carlo Giovanni Camarda

Abstract Background: The COVID-19 pandemic has caused major shocks in mortality trends in many countries. Yet few studies have evaluated the heterogeneity of the mortality shock at the sub-national level, rigorously accounting for the different sources of uncertainty.Methods: Using death registration data from Belgium, we first assess the change in the heterogeneity of subnational standardized mortality ratios in 2020, when compared to previous years. We then measure the shock of the pandemic using district-level values of life expectancy, comparing the observed and projected districts life expectancy, accounting for all sources of uncertainty (related to the life-table construction at district level and to the projection methods at country and district level). The Bayesian modelling approach makes it easy to combine the different sources of uncertainty in the assessment of the shock. This is of particular interest at a finer geographical scale characterized by high stochastic variation in annual death counts.Results: The heterogeneity in the impact of the pandemic on all-cause mortality across districts is substantial, with some districts barely showing any impact whereas the Bruxelles-Capital and Mons districts experienced a decrease in life expectancy at birth of 2.24 (95% CI:1.33-3.05) and 2.10 (95% CI:0.86-3.30) years, respectively. The year 2020 was associated with an increase in mortality levels ' heterogeneity at a subnational level in comparison to past years measured by both the standardized mortality ratios and the life expectancies at birth. Decisions on uncertainty thresholds have a large bearing on the interpretation of the results.Conclusion: Developing sub-national mortality estimates with their uncertainty is key to understanding why certain areas have been hard hit in comparison to others.


Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 613
Author(s):  
Lu Wang ◽  
Shumin Jiang ◽  
Hua Xu

In this study, the static and dynamic spatial Durbin model between industrial structure and haze pollution in Yangtze River Delta is constructed. Later, the spatial spillover effect and time lag effect of haze pollution in Yangtze River Delta are analyzed. The impact of rationalization and upgrading of industrial structure on haze pollution and its spatial spillover effect are discussed. The results show that: (i) PM2.5 has a significant positive spatial spillover effect and time lag effect; (ii) in the short run, the rationalization and upgrading of industrial structure has no inhibitory effect on haze pollution, while the rationalization and upgrading of industrial structure of surrounding cities has an inhibitory effect on local haze pollution; (iii) in the long run, the rationalization and upgrading of industrial structure of surrounding cities have an inhibitory effect on local haze pollution; (iv) economic growth, FDI, the number of Industrial Enterprises above Designated Size, and population density also have spatial spillover effects on haze pollution. Therefore, considering the spatial spillover effect of haze pollution from the perspective of urban agglomeration and long-term, strengthening the joint prevention and control and comprehensive treatment among cities, further promoting the rationalization and upgrading of industrial structure is conducive to reducing haze pollution.


2019 ◽  
Vol 16 (2) ◽  
pp. 224-252 ◽  
Author(s):  
Abdulazeez Y.H. Saif-Alyousfi

Purpose The purpose of this paper is to examine the effect of bank specific, financial structure and macroeconomic factors on the shareholder value of banks in GCC economies during 2000–2017. Design/methodology/approach To estimate the model and analyze the data collected from the BankScope and World Bank World Development Indicator database, the author uses static panel estimation techniques as well as two-step difference and system dynamic generalized method of moments estimator. Findings The results show that banks that are highly dependent on non-traditional activities have higher shareholder value. Higher opportunity cost, capitalization and demand deposits result in a better bank shareholder value. Furthermore, banks with higher loan exposure and growth have better shareholder value. Non-performing loans and market risk have insignificant effects on bank shareholder value. However, GCC banks suffer from diseconomies of scale and scope. The author also finds that banks located in countries with high inflation rates, high rates of interest or in financially developed economies offer better shareholder value. High credit to the private sector reduces the bank shareholder value. The paper also provides evidence that the impact of financial turmoil on the shareholder value of the GCC banking sector is negative and significant and has severely weakened the GCC banking system. Practical implications The results of this study necessitate formulation of various policy measures that can counter the effects of shareholder value of banks. Originality/value The present study is among the first to address the influence of financial turmoil on bank shareholder value. It also studies new variables, such as demand deposits, non-performing loans, loan growth, non-interest revenue and off-balance sheet activities, which have not been examined in relation to bank shareholder value. It also applies both static techniques and dynamic panel estimation techniques to analyze the data. The analysis is carried out at the aggregate level as well as at the national level and also provides several robustness analyses using various model specifications.


2020 ◽  
Vol 12 (9) ◽  
pp. 3715 ◽  
Author(s):  
Seth Nana Kwame Appiah-Kubi ◽  
Karel Malec ◽  
Mansoor Maitah ◽  
Sandra Boatemaa Kutin ◽  
Ludmila Pánková ◽  
...  

A number of studies have been done to examine the factors that impact the level of foreign direct investment in African countries. However, most of them have not considered the effect corporate governance structures have on foreign direct investment (FDI) in their estimations. This research therefore pursued the investigation of the relationship between corporate governance structures at the national level and foreign direct investment concentrating mainly on West African economies for the period 2009–2018. The study constructed a panel, sampling annual data from 17 West African countries. The System generalized method of moments (GMM) was used in analyzing the panel data to attain the objective of the research. The results of the study reveal that countries characterized by greater protection of the interest of non-controlling parties are able to accumulate progressive FDIs. Economies with firms portraying high ethical values also generally generate increasing foreign direct investment, and the existence of effective boards also significantly improves the country’s FDI inflows. Finally, the findings report that the impact of regulations in securities and the stock exchange on FDI is insignificant. The study recommends that West African countries institute corporate governance structures purely independent of political influences in order to ensure effective utilization of foreign direct investment to mitigate poverty.


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