Search results

This study aims to examine the impact of urbanization and renewable energy productivity on sustainable development in developing Asia economies. Moreover, it investigates the potential of sustainable urbanization in these economies through the lens of renewable energy productivity.

Using a balanced panel data set of 20 developing Asian economies from 2000 to 2020, this study uses the sustainable development goals score as the dependent variable. Principal explanatory variables include urban population and renewable energy productivity, with globalization and government expenditure as control variables in sustainable development function. This study uses diagnostic tests such as cross-sectional dependence, unit-root test and cointegration to ensure robustness. For the empirical analysis, the pooled mean group autoregressive distributed lag estimation technique is used for both long- and short-run dynamics, supplemented by the panel-corrected standard errors and feasible generalized least squares methods for the robustness check.

The long-run results indicate that urbanization and renewable energy productivity significantly enhance sustainable development. This study also identifies globalization and government expenditure as significant drivers of sustainable development. The long-run results further identify the potential moderating role of renewable energy productivity, thereby helping urbanization in stimulating sustainable development. This study recommends developing policies that promote sustainable urban infrastructure, such as energy-efficient buildings and smart cities, while investing in renewable energy technologies and systems to enhance their integration into urban development plans and maintain sustainable development.

This study contributes to the literature by highlighting the nuanced impact of renewable energy productivity on sustainable development in the context of urbanization. It underscores the synergistic benefits of aligning urban growth with renewable energy initiatives, suggesting strategic fiscal policies and international cooperation as essential components for advancing sustainable development in developing Asian economies.

The purpose of this paper is to measure the factors determining the productivity development in the Asia Pacific countries such as Malaysia, Indonesia, Singapore, Philippines, Thailand, China, Japan, Korea, India, Australia and New Zealand.

The extensive growth theory that is expressed as the decomposition of the contribution of changes in employment, physical capital, foreign direct investment (FDI), human capital (HC), telecommunications investment and total factor productivity (TFP) growth on the selected Asia-Pacific countries’ output growth is used in this study. In this respect, an annual time series data over the period 1970-2012 for the aforementioned variables are employed.

The study found that the FDI spillover effects through the TFP are considered as productivity-driven economic growth in which the FDI spillover effects have significant effect on the productivity growth of the majority of these countries. It should be noted that most of these countries showed technological progress through the FDI spillover effects that is translated into a form of technology transfer and HC skills development.

This study empirically compared the FDI spillover effects on sustainable productivity growth of the most growing countries in the Asia Pacific region by using modified extensive growth theory that closed the gaps in the past studies and addressed the issues of technology transfer, HC development and sustainable productivity growth brought by the technical progress in these countries through the FDI spillover effects on productivity growth.

Characteristic successes of Germany’s social market economy include both stability and productivity growth, yet mass unemployment indicates the need for reform. The conventional reform agenda emphasises Germany’s restrictive labour market. However, many targets for reform are elements of an institutional system in the labour market that promotes Germany’s culture of consensus. A model is outlined that synthesises insights from X‐efficiency and business strategy theory to highlight the positive effects of consensus on business performance. The model together with accompanying empirical data suggests that Germany’s consensus culture not only gives rise to negative outcomes associated with labour market inflexibility – in particular, sluggish employment growth – but also helps firms to generate innovation, productivity growth and sustainable competitive advantage. This implies the need for a renewed “social contract”, in which consensus not only generates productivity growth but also sustains a corporatist bias towards employment. Finally, a corporatist reform process consistent with Germany’s cultural and institutional environment is likely to be more effective than top‐down liberalisation in accelerating job creation while maintaining cultural sources of global competitiveness.

In the context of the contemporary globalized environment and the rapid progression of Industry 4.0, the existing literature suggests that national intellectual capital does play a significant role in shaping diverse economic metrics. However, the connection between national intellectual capital and total factor productivity (TFP) has been largely overlooked. This paper examines the effect of national intellectual capital on productivity across 84 countries, encompassing diverse income levels, human development index (HDI) levels and continents.

This study utilizes dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), two-stage least squares (2SLS), generalized method of moments (GMM) and pooled mean group (PMG) estimation techniques on a sample of 84 economies from 2000 to 2019.

The results reveal a significant effect of national intellectual capital on productivity. Countries with robust intellectual capital exhibit enhanced productivity and, by extension, sustainable economic growth. The findings are nuanced, illustrating varied impacts across low, middle and high-income countries and offering insights into tailored strategies for each income group. Nations with lower HDI levels derive significant benefits from investments in intellectual capital, whereas higher HDI countries experience lower returns in productivity gains from additional intellectual capital investments. Interestingly, Latin America exhibits a paradoxical negative effect of national intellectual capital on TFP.

This paper makes a significant contribution to the literature by extending the discourse on intellectual capital to the national level, an area that has been relatively underexplored. The comparative analysis across income groups, human development index levels and continents enriches the understanding of the multifaceted impacts of intellectual capital on productivity. These insights are valuable for policymakers, researchers and international development agencies, providing a comprehensive perspective on how intellectual capital influences productivity in diverse economic and developmental contexts.

To the best of our knowledge, this is the first empirical study to investigate the impact of national intellectual capital on productivity across 84 countries, considering diverse income levels, HDI levels and continents.

The purpose of this paper is to incorporate the spillover effects of trade on East Asian productivity, namely China, Indonesia, Japan, Korea, Malaysia, Philippines, Singapore and Thailand.

This study attempts to fill in the gaps of previous studies by developing applications of extensive growth theory that shows the trade spillover effects on productivity growth of ASEAN 5 plus3. It further provides a meaningful statistical analysis in which, the first step of the estimation to get the coefficients of the explanatory variables that has been used by econometric approach. It can be restated here that in addition, a second step that plugs the parameters of the variables into the model in order to compute the contribution rates of productivity indicators including the calculation of the residual of the model (total factor productivity – TFP) and GDP contributions being used by growth accounting approach. The TFP is considered be trade spillover effects indicator that is showed the technology transfer to domestic firms and human capital skills upgrading.

The paper finds that there was a little contribution of exports and imports to TFP growth in these countries during all the periods of study. It confirms that high physical capital input growth resulted in high gross domestic product (GDP) contribution and low TFP contribution with insignificant technological progress experiences by most of these countries, with the exception of Japan and to some extent, South Korea.

In this respect, the trade spillover effects had transferred technology and developed human capital skills to a greater extent in the cases of Japan and Republic of Korea and their economies considered to be productivity driven economies.

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.

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.

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.

The value of this result is to identify the short-term impact of SREB strategy and to seek for probable causes and appropriate solutions.

The purpose of this study is to investigate the driving forces of China's recent rapid economic growth and its sustainability in the future.

A stochastic production frontier approach is employed in order to investigate regional productivity performances of Chinese provinces over the period 1994‐2006.

Despite the general concern of widening regional inequalities in China, the findings show a striking trend of convergence among Chinese provinces over the last decade. The empirical results also reveal a significant contribution of foreign direct investment and foreign trade to economic growth. From a macroeconomic point of view, the strong trend of economic convergence among regions could give evidence on the sustainability of rapid economic growth in China in the near future. In addition, the empirical findings show that Chinese provinces tend to compensate negative scale effects by rising productive efficiency through technological progress.

Further investigation of the non‐neutrality of technological component can yield a better understanding of the underlying convergence mechanism.

That is to say, policy makers should pursue their initiative to promote backward regions in western and inland regions and to encourage their economic integration through the free movement of production factors across regional borders. Further investment in physical and human capital construction in backward provinces are also needed to stimulate the catch‐up process.

The main contribution of this methodology is the ability to introduce various returns to scale production technology and to decompose regional productivity scores over time into two major components, namely scale and pure technical efficiencies.

The purpose of this study is to examine the spatial fluctuation spillover effect of green total factor productivity (GTFP) under the influence of Internet development.

Using panel data from 283 cities in China for the period 2003–2016, this paper explores the spatial fluctuation spillover effect of internet development on GTFP by applying the spatial autoregressive with autoregressive conditional heteroscedasticity model (SARspARCH).

The results of Moran's I test of the residual term and the Bayesian information criterion (BIC) value indicate that the GTFP has a spatial fluctuation spillover effect, and the estimated results of the SARspARCH model are more accurate than the spatial autoregressive (SAR) model and the spatial autoregressive conditional heteroscedasticity (spARCH) model. Specifically, the internet development had a positive spatial fluctuation spillover effect on GTFP in 2003, 2011, 2012 and 2014, and the volatility spillover effect weakens the positive spillover effect of internet development on GTFP. Moreover, Internet development has a significant positive spatial fluctuation spillover effect on GTFP averagely in eastern China and internet-based cities.

The results of this study provide digital solutions for policymakers in improving the level of GTFP in China, with more emphasis on regional synergistic governance to ensure growth.

This paper expands the research ideas for spatial econometric models and provides a more valuable reference for China to achieve green development.