scholarly journals Does Social Capital Matter for Total Factor Productivity? Exploratory Evidence from Poland

2020 ◽  
Vol 12 (23) ◽  
pp. 9978
Author(s):  
Urszula Markowska-Przybyła
Keyword(s):  
Social Capital ◽  
Sustainable Development ◽  
Total Factor Productivity ◽  
Synergistic Effects ◽  
Empirical Studies ◽  
Physical Capital ◽  
Economic Effects ◽  
Added Value ◽  
Factor Productivity ◽  
The Impact

Two issues connected with sustainable development are analysed in this article: total factor productivity (TFP), which measures the efficiency of transforming physical capital and labour into production, and social capital, which is increasingly considered as a factor of TFP. TFP is sometimes viewed as a measure of sustainability, and its high value indicates an effective way of combining and using limited resources. Social capital, in turn, is a determining factor in the social, economic, and environmental dimensions of development. The subject of this analysis is the impact of social capital on TFP. Social capital generates synergistic effects and creates added value using the existing resources. Therefore, it is legitimate to regard it as one of the determinants of TFP. The role of social capital in sustainable development is theoretically grounded and confirmed by numerous empirical studies. Nevertheless, due to the deep dependence on the context, the mechanisms of the impact of this capital on economic effects are still not fully understood. In this paper, social capital is analysed in the context of the post-transformation economy. This context seems to be interesting for two reasons: the relative weakness of social capital in post-communist countries and extensive nature of development these countries have experienced in recent decades, which together can be a barrier to long-term growth in these economies. The purpose of the paper is to identify and assess the impact of social capital in Poland on TFP in a regional breakdown (Nomenclature of Territorial Units for Statistics II - NUTS II). The research period covers the years 2002–2016 and employs econometric modelling methods. Social capital turns out to be a factor in explaining the level of TFP in Polish regions.

The Dynamic Correlation Between Capital Deepening and Total Factor Productivity in China

2020 ◽  
Vol 24 (4) ◽  
pp. 524-531
Author(s):  
Wuliu Zhang ◽  
Keyword(s):  
Human Capital ◽  
Total Factor Productivity ◽  
Negative Impact ◽  
Positive Impact ◽  
Linear Structure ◽  
Physical Capital ◽  
Influence Coefficient ◽  
Factor Productivity ◽  
Capital Deepening ◽  
The Impact

The impact of capital deepening on total factor productivity (TFP) is a significant and controversial issue. Based on the calculation of relevant indicators, this study adopts a Bayesian time-varying parameter model, Bayesian quantile regression, and adaptive Bayesian quantile models for in-depth statistical analysis. TFP was found to have a complex non-linear structure, and physical and human capital deepening indicators show a significant upward trend. The deepening of physical capital has a negative impact on TFP, while the deepening of human capital has a positive impact. In the capital deepening structure, the level of TFP has been improved and its structure optimized. Primary human and non-production physical capital deepening has no significant effect on TFP, while secondary human capital deepening has some significant effects on TFP. Tertiary and productive human capital deepening of TFP present two different forms of significant effect: the influence coefficient of the former declines in the increasing quantile and the change is larger, while the latter has a stable negative impact. The results of this study provide insights in terms of the improvement of China’s productivity.

scholarly journals Modeling the Impact of Innovation on Economic Quality and Environmental Pollution Change under Consideration of Environmental Regulation

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xinfei Li ◽  
Yuan Tian ◽  
Yueming Li ◽  
Chang Xu ◽  
Xiaobing Liu ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Total Factor Productivity ◽  
Environmental Regulations ◽  
Pollutant Emissions ◽  
Factor Productivity ◽  
So2 Emissions ◽  
The Impact ◽  
China’S Economy

Under the constraints of resources and the environment, exploring the channels to improve the quality of China’s economy is very important for China’s current sustainable development. Therefore, this paper studies whether innovation can improve the quality of China’s economy and explore the path of sustainable development from the perspective of the city. Based on the Malmquist–Luenberger index and DEA-Malmquist index, this paper, respectively, measures the green total factor productivity (GTFP) and total factor productivity (TFP) of 193 cities in China. On the basis of obtaining the GTFP, TFP, and various pollutant emissions of 193 cities, this paper selects environmental regulations as the threshold variable and the number of urban patents as the explanatory variable to measure the level of urban innovation. On this basis, we examine the impact of innovation quality on economic quality and environmental pollution under different environmental regulatory intensities. The research results show that the impact of innovation on GTFP and TFP under different environmental regulations is always positive, but the impact coefficient and significance level vary. In addition, the impact of innovation on SO2 emissions under different environmental regulations has also changed. With the increase of environmental regulations, the effect of reducing emissions is gradually significant. The conclusion of this paper better interprets the development of TFP and GTFP under the innovation-driven strategy, provides a decision-making basis for departments at all levels to formulate innovation support policies, and explores the path of sustainable development.

scholarly journals The Impact of Broadband Networks on Growth and Development in South America

2020 ◽  
Vol 29 (1) ◽  
pp. 33-39
Author(s):  
Zoltán Bánhidi
Keyword(s):  
Information And Communication Technologies ◽  
Empirical Studies ◽  
Physical Capital ◽  
Spillover Effects ◽  
Developed Countries ◽  
Economic Effects ◽  
Quality Data ◽  
Special Role ◽  
Broadband Networks ◽  
The Impact

Broadband networks can play a special role as "general purpose technologies" that enable or facilitate the use of other Information and Communication Technologies (ICTs), including a plethora of internet-based services, such as e-commerce, e-government, e-learning or social media. Due to the better quality and availability of statistical data, most empirical studies on the economic effects of broadband have focused on their impact on growth, employment and productivity in developed countries. In this study, we set out the reasons why these economic effects should also be relevant for developing countries and examine the potential advantages of increasing broadband take-up. To analyze the significance of broadband for economic development, we specify and estimate an econometric model for nine South American countries, for which relatively high quality data was available. According to our results, increased broadband penetration is associated with significant "spillover" effects, excess societal returns over and above the expected returns of other investments in physical capital.

Examining the Impact and Influencing Channels of Emission Trading Pilot Markets in China

2020 ◽  
Vol 11 (1) ◽  
pp. 136-136
Author(s):  
Qiong Wu ◽  
Kanittha Tambunlertchai ◽  
Pongsa Pornchaiwiseskul
Keyword(s):  
Total Factor Productivity ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Emission Trading ◽  
Chinese Government ◽  
Synergy Effect ◽  
Factor Productivity ◽  
Plan Period ◽  
Carbon Emission Trading ◽  
The Impact

The global warming has become a serious issue in the world since the 1980s. The targets for the first commitment period of the Kyoto Protocol cover emissions of the six main greenhouse gasses (GHGs). China is the world's largest CO2 emitter and coal consumer and was responsible for 27.3 percent of the global total CO2 emission and 50.6 percent of the global total coal consumption in 2016 (BP, 2017). As China plays an important role in the global climate change, China has set goals to improve its environmental efficiency and performance. In 2011, the Chinese government for the first time announced an intent to establish carbon emission trading market in China. Eight regional emission trading schemes have been operating since 2013 (seven pilot markets during the 12th Five Year Plan period and one pilot market during the 13th Five Year Plan period) including provinces of Guangdong, Hubei, and Fujian, and cities of Beijing, Tianjin, Shanghai, Shenzhen, and Chongqing. The goal of these regional emission trading pilot markets is to help the government establish an efficient carbon emission trading scheme at national level. Some researchers have been focused on examining the impact of emission trading schemes in China using CGE model by constructing different scenarios and ex-ante analysis using data prior to emission trading pilot markets implementation. While this paper tries to conduct an ex-post analysis with data of 2005-2017 to evaluate the impact of emission trading pilot markets in China at provincial level using difference-in-difference (DID) model. By including both CO2 and SO2 as undesirable outputs to calculate Malmquist-Luenberger (ML) Index to measure green total factor productivity, this paper plans to evaluate the impact of carbon emission trading pilot markets in China via emission reduction, regional green development, synergy effect and influencing channels. This paper tries to answer the following research questions: (1) Do emission trading pilot markets reduce CO2 emission and increase regional green total factor productivity? (2) Is there any synergy effect from emission trading pilot markets? (3) What are the influencing channels of emission trading pilot markets? Keywords: Emission trading, CO2 emissions, Different-in-difference

Impact of Determinants of Industrial Development on Employment and Wages in Indian Manufacturing

2020 ◽  
pp. 18-30
Keyword(s):  
Technical Efficiency ◽  
Total Factor Productivity ◽  
Technical Change ◽  
Positive Impact ◽  
Manufacturing Sector ◽  
Factor Productivity ◽  
Firm Level ◽  
Employment Level ◽  
The Impact ◽  
Level Performance

ABSTRACT The present study was undertaken to explore the evolution of the impact of firm-level performance on employment level and wages in the Indian organized manufacturing sector over the period 1989-90 to 2013-14. One of the major components of the economic reform package was the deregulation and de-licensing in the Indian organized manufacturing sector. The impact of firm-level performance on employment and wages were estimated for Indian organized manufacturing sector in major sub-sectors in India during the period from 1989-90 to 2013-14 of the various variables namely profitability ratio, total factor productivity change, technical change, technical efficiency, openness (export-import), investment intensity, raw material intensity and FECI in total factor productivity index, technical efficiency, and technical change. The study exhibited that all explanatory variables except profitability ratio and technical change cost had a positive impact on the employment level. Out of eight variables, four variables such as net of foreign equity capital, investment intensity, TFPCH, and technical efficiency change showed a positive impact on wages and salary ratio and rest of the four variables such as openness intensity, technology acquisition index, profitability ratio, and technical change had negative impact on wages and salary ratio. In this context, the profit ratio should be distributed as per the marginal rule of economics such as the marginal productivity of labour and capital.

Impact of Nanotechnology Patents on Green Development of China's Building Industry

2020 ◽  
Vol 14 (2) ◽  
pp. 141-152
Author(s):  
Xialing Sun ◽  
Rui Zhang ◽  
Xue Chen ◽  
Pengpeng Li ◽  
Jin Guo
Keyword(s):  
Total Factor Productivity ◽  
Inhibitory Effect ◽  
Building Industry ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Technological Support ◽  
Green Development ◽  
Panel Data Regression ◽  
The Impact ◽  
Building Engineering

Background: The sustainable development of the building industry has drawn increasing attention around the world. Nanomaterials and nanotechnology play an important role in the processes of energy saving and reducing consumption in the building industry. Nanotechnology patents provide key technological support for the green development of the building industry. Based on patent data in China, this paper quantitatively analyzed the application of nanotechnology patents in the building industry and the time trend, regional differences, and evolution of China's nano-patent applications in the building field. Methods: In this study, the environmental total factor productivity of the building industry considering carbon constraints was determined and then used as the dependent variable to measure the green development of the building industry. On this basis, a panel data regression model was constructed to determine the impact of nano-patents on the green development of the building industry. Results: Nanotechnology patents in the building industry can significantly improve total factor productivity. From the perspective of patent composition, technology-based patents that focus on substantial innovation can significantly promote the green development of the building industry, whereas strategic patents show a significant inhibitory effect. Regionally, the western region of China has the advantage of being less developed and thus more efficient than the central and eastern regions in the application of new nano-products. Finally, the research also showed a significant lag in the application of China's nanotechnology patents and low implementation efficiency. Conclusion: Nano patents can promote green development in the building industry, but there is room for improvement in the speed with which laboratory inventions are transformed into building engineering applications.

scholarly journals Impact of Migrant Workers on Total Factor Productivity in Chinese Construction Industry

2019 ◽  
Vol 11 (3) ◽  
pp. 926 ◽  
Author(s):  
Gui Ye ◽  
Yuhe Wang ◽  
Yuxin Zhang ◽  
Liming Wang ◽  
Houli Xie ◽  
...  
Keyword(s):  
Construction Industry ◽  
Total Factor Productivity ◽  
Migrant Workers ◽  
Annual Report ◽  
Learning By Doing ◽  
Construction Sector ◽  
Factor Productivity ◽  
The Sustainable Development ◽  
Statistical Yearbook ◽  
The Impact

Total factor productivity (TFP) is of critical importance to the sustainable development of construction industry. This paper presents an analysis on the impact of migrant workers on TFP in Chinese construction sector. Interestingly, Solow Residual Approach is applied to conduct the analysis through comparing two scenarios, namely the scenario without considering migrant workers (Scenario A) and the scenario with including migrant workers (Scenario B). The data are collected from the China Statistical Yearbook on Construction and Chinese Annual Report on Migrant Workers for the period of 2008–2015. The results indicate that migrant workers have a significant impact on TFP, during the surveyed period they improved TFP by 10.42% in total and promoted the annual average TFP growth by 0.96%. Hence, it can be seen that the impact of migrant workers on TFP is very significant, whilst the main reason for such impact is believed to be the improvement of migrant workers’ quality obtained mainly throughout learning by doing.

scholarly journals The Impact of Participation in PPP Projects on Total Factor Productivity of Listed Companies in China

2021 ◽  
Vol 13 (14) ◽  
pp. 7603
Author(s):  
Xiangdong Liu ◽  
Guangxi Cao
Keyword(s):  
Total Factor Productivity ◽  
High Speed ◽  
Operation Mode ◽  
Listed Companies ◽  
Financing Constraints ◽  
Eastern Region ◽  
Time Varying ◽  
Factor Productivity ◽  
The Impact ◽  
China’S Economy

The key to transforming China’s economy from high-speed growth to high-quality development is to improve total factor productivity (TFP). Based on the panel data of China’s listed companies participating in PPP (Public–Private Partnerships) projects from 2010 to 2019, this paper constructs the time-varying DID method to test the impact of participation in PPP projects on the company’s TFP empirically, explore the mechanism of the effect of participation in PPP projects on the company’s TFP, and then conduct heterogeneous analysis from four perspectives: region, industry, ownership form, and operation mode. The empirical results show that participation in PPP projects can significantly promote the growth of the company’s TFP, which mainly comes from the promotion of the innovation level of listed companies and the alleviation of financing constraints by participating in PPP projects. In addition, participation in PPP projects has a significant impact on TFP of listed companies in the eastern region, listed companies in the secondary and tertiary industries, state-owned listed companies, and listed companies participating in PPP projects under the BOT mode.

scholarly journals The Impact of Ad-Blocking on the Sustainable Development of the Digital Advertising Ecosystem

2018 ◽  
Vol 10 (11) ◽  
pp. 4039 ◽  
Author(s):  
Janusz Wielki ◽  
Janusz Grabara
Keyword(s):  
Sustainable Development ◽  
Point Of View ◽  
Economic Effects ◽  
Primary Data ◽  
Literature Analysis ◽  
The Sustainable Development ◽  
Advertising Industry ◽  
Internet Users ◽  
The Impact ◽  
Excessive Number

Despite the rapidly growing expenditure on digital advertising, the effectiveness of the functioning of the digital advertising ecosystem is becoming less and less visible. This is related to the fact that only a small part of the expenditure incurred by organizations on various forms of digital advertising brings the expected results. For several years now, a phenomenon that stifles the effectiveness of the digital advertising ecosystem and deteriorates the ROI (return on investment) of advertisers has been the widespread practice of blocking advertising, known as ad-blocking. In this context, the aim of this article is to analyze the scale of the phenomenon of ad-blocking and its causes in terms of its impact on the effectiveness of the functioning of the digital advertising ecosystem and its sustainable development, which is extremely important from the point of view of the development of electronic commerce. In order to carry out this study, a literature analysis was conducted on the genesis of this phenomenon, its scale, causes, and economic effects. After this stage of research, in order to obtain primary data, a questionnaire survey was conducted on a group of individual Internet users. The results of the research indicated three main reasons for the development of ad-blocking. These are: excessive number of advertisements, their excessive invasiveness, and the mismatch between the advertisements displayed to the user and the user’s interests. In the context of these results and of the continued sustainable functioning of the digital advertising ecosystem, it is essential that the advertising industry be able to offer users alternatives to ad-blocking that they consider valuable from their own point of view and that take the users’ expectations into account.

Silk Road Economic Belt strategy and industrial total-factor productivity

2019 ◽  
Vol 30 (1) ◽  
pp. 260-282 ◽  
Author(s):  
Jian Feng ◽  
Lingdi Zhao ◽  
Huanyu Jia ◽  
Shuangyu Shao
Keyword(s):  
Sustainable Development ◽  
Total Factor Productivity ◽  
Causal Effect ◽  
Silk Road ◽  
Factor Productivity ◽  
Positive Role ◽  
Content Type ◽  
Silk Road Economic Belt ◽  
The Difference

Purpose The purpose of this paper is to assess the effectiveness of the Silk Road Economic Belt (SREB) strategy and its role of industrial productivity in China. Design/methodology/approach To identify the causal effect of this strategy on industrial sustainable development, the authors first use the slacks-based measure model to calculate industries’ total-factor productivity (TFP) considered with CO2 emissions as undesirable output on the provincial level. Then, the authors use the PSM-DID method to identify the difference of TFPs between provinces and industries before and after the implementation of SREB strategy. Findings However, the authors find that there is no difference or even a relative decrease in TFPs of industries in target provinces after the implementation of the strategy, which reveals that the SREB strategy does not play a positive role of the industries’ sustainable development in years of 2014 and 2015. Originality/value The value of this result is to identify the short-term impact of SREB strategy and to seek for probable causes and appropriate solutions.

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