Financial Development, Economic Efficiency and Productivity Growth: Evidence from China

Financial development may lead to productivity improvement in developing countries. In this paper, based on the Data Envelopment Analysis (DEA) approach, we use the Malmquist index to measure China’s total factor productivity change and its two components (i.e., efficiency change and technical progress). We find that China has recorded an increase in total factor productivity from 1993 to 2001, and that productivity growth was mostly attributed to technical progress, rather than to improvement in efficiency. Moreover, using panel data set covering 29 Chinese provinces over the period of 1993-2001 and applying the Generalized-Method-of-Moment system estimation, we investigate the impact of financial development on productivity growth in China. Empirical results show that, during this period, financial development has significantly contributed to China’s productivity growth, mainly through its favourable effect on efficiency.Financial Development, total factor productivity, Chinese Economy

Financial Development, Economic Efficiency and Productivity Growth: Evidence from China

Financial development may lead to productivity improvement in developing countries. In this paper, based on the Data Envelopment Analysis (DEA) approach, we use the Malmquist index to measure China's total factor productivity change and its two components (i.e., efficiency change and technical progress). We find that China has recorded an increase in total factor productivity from 1993 to 2001, and that productivity growth was mostly attributed to technical progress, rather than to improvement in efficiency. Moreover, using panel data set covering 29 Chinese provinces over the period of 1993-2001 and applying the Generalized-Method-of-Moment system estimation, we investigate the impact of financial development on productivity growth in China. Empirical results show that, during this period, financial development has significantly contributed to China's productivity growth, mainly through its favourable effect on efficiency.Financial Development;total factor productivity;Chinese Economy

Productivity growth, human capital and distance to frontier in Sub-Saharan Africa

Using the Malmquist productivity index and panel data methods, we study the role of total human capital and its composition in the technological "catch-up" process and productivity growth via the channels of innovation and adoption of technology in a panel of 19 sub -Saharan African countries between 1960 and 2003. Our findings indicate different roles played by the composition of human capital and a follow-on consistent and significant contribution of total human capital to productivity growth. Primary and secondary school attainment (unskilled labour) contribute significantly to the adoption of technology(the main source of productivity growth in sub-Saharan Africa) whilst tertiary school attainment (skilled labour) plays a significant role in local innovation. Total human capital on the other hand, contribute more significantly to the adoption of technology and innovation. Technological "catch-up" remains a significant element in productivity growth in sub-Saharan Africa and economies with higher tertiary school attainment(skilled labour) and higher total human capital tend to contribute significantly to productivity growth through the channel of technological "catch-up". Our results rather point towards a circuitous depiction of the symbiotic characteristics of the composition of human capital in enhancing productivity growth in sub-Saharan Africa and hence efforts in scaling- up investments in human capital by governments, development partners etc should not be too concentrated on one composition of human capital. --Productivity growth,Human capital,Sub-Saharan Africa

Green Biased Technical Change in Terms of Industrial Water Resources in China’s Yangtze River Economic Belt

As a significant ecological corridor from west to east across China, the Yangtze River Economical Belt (YREB) is in great need of green development and transformation. Rather than only focusing on the overall growth of green productivity, it is important to identify whether the technical change is biased towards economic performance or green performance in promoting green productivity. By employing the biased technical change theory and Malmquist index decomposition method, we analyze the green biased technical change in terms of industrial water resources in YREB at the output side and the input side respectively. We find that the green biased technical change varies during 2006–2015 at both the input side and output side in YREB. At the input side, water-saving biased technical change is generally dominant compared to water-using biased technical change during 2006–2015, presenting the substitution effects of non-water production factors. At the output side, the economy-growth biased technical change is the main force to promote green productivity, whereas the role of water-conservation biased technical change is insufficient. The green performance at the output side needs to be strengthened compared to the economic performance in YREB. A series of water-related environmental policies introduced in China since 2008 have promoted the green biased technical change both at the input side and the output side in YREB, but the policy effects at the output side is still inadequate compared to that at the input side. The technological innovation in sewage treatment and control need to catch up with the economic growth in YREB. Our research gives insights to enable a deeper understanding of the green biased technical change in YREB and will benefit more focused policy-making of green innovation

Productivity Growth and Biased Technological Change in UK Airports

In this paper we estimate the total factor productivity of UK airports using a Malmquist index. Productivity change is factored into an index of efficiency change and an index of technological change. Technological change is further decomposed into indexes that measure the bias in the production of outputs, the bias in the employment of inputs, and the magnitude of the shift in the production frontier. Airports are ranked according to their productivity change for the period 2000-2005. The majority of UK airports did not improve their efficiency during the period. Economic implications are derived.UK airports; productivity growth; biased technological change; policy implications

Heterogeneity, trust, human capital and productivity growth: Decomposition analysis

This paper uses panel data from Japan to decompose productivity growth measured by the growth of output per labor unit into three components of efficiency improvement, capital accumulation and technological progress. It then examines their determinants through a dynamic panel model. In particular, this paper focuses on the question of how inequality, trust and humans affect the above components. The main findings derived from empirical estimations are: (1) Inequality impedes not only improvements in efficiency but also capital accumulation. (2) A degree of trust promotes efficiency improvements and capital accumulation at the same time. However, human capital merely enhances improvements in efficiency.Heterogeneity, Inequality, Trust, Data envelopment analysis

Nigeria’ Power Sector: Analysis of Productivity

This study analyzes the productivity change in Nigeria’s power sector from 2004-2008, Applying the Malmquist index with the input technological bias. The results show that on average, the Nigerian power sector becomes both more efficient and experience technological improvements. Furthermore, the assumption of Hicks neutral technological change is not suitable and therefore the traditional growth accounting method is not appropriate for analyzing changes in productivity for Nigeria power sector. Policy implications are derived.Power, Nigeria; productivity, technological change, policy implications.

Using Data Envelopment Analysis to Evaluate Environmentally Conscious Tourism Management

This paper discusses a methodology to assess the performances of tourism management of local governments when economic and environmental aspects are considered as equally relevant. In particular, the focus is on the comparison and efficiency assessment of Italian municipalities located on the costal areas. In order to assess the efficiency status of the considered management units, Data Envelopment Analysis (DEA), a methodology for evaluating the relative efficiency of decision making units, is applied. The efficiency index measure used in DEA analysis accounts for both environmental and economic features correlated to the tourism industry. Further, potential managerial improvements for those areas resulting far from the efficiency frontier can be investigated.Data envelopment analysis, Sustainable tourism

Productivity Change of UK Airports: 2000-2005

In this paper, the two innovative nonparametric models, the Luenberger productivity model and Luenberger–Hicks–Moorsteen productivity indicator are used to estimate the productivity of UK airports. These airports are ranked according to their total productivity for the period 2000- 2005 showing that the majority of UK airports are not improving their efficiency in the period. Economic implications arising from the study are derived.productivity measurements; UK airports; data envelopment analysis; Luenberger productivity indicator and Luenberger–Hicks–Moorsteen productivity indicator.