Has regulatory reform had any impact on bank efficiency in Indonesia? A two-stage analysis

More than a decade following the severe economic crisis 1997, Indonesia has undergone major regulatory changes in its banking industry. This article examines the impact of these regulatory changes on the relative technical efficiency (TE) of the Indonesian banking industry employing data envelopment analysis (DEA) and censored Tobit regression model. Additionally, the bootstrap approach of Simar and Wilson is employed to provide statistical properties to the DEA efficiency score. The findings show that the industry on average is inefficient over the period of analysis. Also, state-owned and foreign-owned banks are found to be more efficient than any other group of banks. Finally, the impact of regulatory reforms is generally positive and statistically significant.     

The measurement and sources of technical inefficiency in the Indonesian weaving industry

Production function models are estimated with a time series of cross-section data on Indonesian weaving establishments. The sources of technical inefficiency are investigated. Three firm attributes are identified as being potentially related to firm efficiency. They are firm ownership, age and size. The importance of these attributes as sources of inefficiency in the Indonesian weaving industry is investigated and the implications of the findings discussed.     

Endogeneity in panel stochastic frontier models: an application to the Japanese cotton spinning industry

We present a panel stochastic frontier model that handles the endogeneity problem. This model can treat the endogeneity of both frontier and inefficiency variables. We apply our method to examine the technical efficiency of Japanese cotton spinning industry. Our results indicate that market concentration is endogenous, and when its endogeneity is properly handled, it has a larger negative impact on the technical efficiency of cotton spinning plants. We find that the exogenous model substantially overestimates efficiency in concentrated markets.     

The Efficiency of China's Banking Industry and the Determinants

The recent global financial crisis highlights the importance of a sound financial sector for economic development. This paper evaluates the economic efficiency of China's banking industry and investigates the determinants of this efficiency. Our analysis shows that the average economic efficiency of joint-stock commercial banks is highest, followed by the ‘Big Four’ state-owned commercial banks and city commercial banks. The economic inefficiency of these banks during the past 15 years was mainly caused by technical inefficiency, and this technical inefficiency was mainly caused by scale inefficiency. Using the scores of efficiency as dependent variables, the paper also comprehensively studies the impact of (1) the characteristics of individual banks, (2) the characteristics of the whole banking industry and (3) macroeconomic factors on banking efficiency. The results suggest a number of factors that banks can work on to improve efficiency and lend support to deepening reforms in the Chinese banking industry, including regulatory reforms that require capital adequacy in a more strict way, reforms that introduce more competition and, more broadly, reforms that aim at establishing institutions that can truly commercialize Chinese banks. Last but not least, the efficiency of banking depends on healthy growth of the overall economy.     

Dynamic productivity growth and its determinants in the Indonesian food and beverages industry

ABSTRACT

This research investigates dynamic productivity growth and its determinants in the Indonesian food and beverages industry decomposing dynamic productivity growth into the contributions of dynamic technical inefficiency change, dynamic technical change, and dynamic scale inefficiency change. The empirical application employs unbalanced panel data of 44 subsectors in the Indonesian food and beverages industry over 1990–2014. To estimate dynamic productivity growth, this research uses a Luenberger indicator accounting for the presence of adjustment costs. The results show that dynamic productivity growth exhibits a decreasing trend. Dynamic technical inefficiency change and dynamic scale inefficiency change contribute positively to dynamic productivity growth, while dynamic technical change contributes negatively. Dynamic productivity growth is affected by the change in industrial concentration, the growth rate of capital intensity, the growth rate of exports, the growth rate of foreign direct investment, and location.     

Structure, conduct, and performance: evidence from the Indonesian food and beverages industry

This article employs the Structure–Conduct–Performance (SCP) paradigm to investigate the simultaneous relationship between industrial concentration, price rigidity, technical efficiency, and price-cost margin in the Indonesian food and beverages industry. This research extends the SCP framework by including price rigidity and technical efficiency as additional key variables. The results suggest that there is a simultaneous relationship between industrial concentration, price rigidity, technical efficiency, and price-cost margin with a positive bi-directional relationship between industrial concentration and price-cost margin. These findings imply that an appropriate course of action for the regulator in this highly concentrated industry is to reduce industrial concentration in order to increase competition, reduce upward price flexibility, and increase technical efficiency in the long run.     

金融发展与医药制造业发展间关系的实证分析——基于我国省级面板数据

利用1995—2008年我国29个省级地区的面板数据,利用面板数据的固定效应变截距模型和固定效应变系数模型,对金融发展与医药制造业发展之间的关系进行了实证分析。研究结果表明:我国金融发展对医药制造业发展的影响具有显著的地区差异;在西部地区,前者对后者具有显著的积极影响;在东部地区,前者对后者具有正面影响,但统计上不显著;在中部地区,前者对后者具有负面影响,但统计上不显著。最后提出应充分发挥政策性金融在医药制造业发展中的作用。     

The effects of agglomeration economies on technical efficiency of manufacturing firms: evidence from Indonesia

This article examines the effects of agglomeration economies and industrial structure upon firm-level technical efficiency in the Indonesian manufacturing industry over the period 2004–2009. A stochastic production frontier and three channels of agglomeration economies consisting of specialization, diversity and competition are used. The empirical results show that the effects of specialization and diversity upon firm-level technical efficiency are positive and negative, respectively, indicating that specialization is more favourable than diversity for stimulating firms’ technical efficiency. Competition has a positive sign, showing that region with high levels of competition tend to be more conducive in accelerating firm-level technical efficiency. In terms of firm location, both dummy for urban region and industrial complex turn out to be positive, indicating that firms located in both areas are experienced higher technical efficiency. Both firm size and age also have positive effect upon technical efficiency.     

Short- and long-term impact of remarkable economic events on the growth causes of China–Germany trade in agri-food products

This paper focuses on a systematic quantitative discussion of the short- and long-term impact of remarkable economic events on international trade in a two-stage framework. Firstly, procedures based on dummy variables are proposed to detect structural breaks, types and sizes of jumps caused by such events. Then we propose to apply a hierarchical CMS (Constant Market Share) model to all sub-periods determined by the detected change points to study the short- and long-term impact of those events on growth causes. Application to China–Germany trade in agri-food products shows that China's accession to WTO had a negative short-term impact on corresponding series. But its long-term impact on China's export competitiveness was clearly positive. The short-term impact of the EU's CAP (Common Agricultural Policy) reform on Germany's exports to China was also negative. Its long-term impact on export competitiveness was sometimes positive and sometimes negative. The financial crisis of 2008 caused a significant reduction of China's agri-food exports to Germany. But Germany's exports to China in 2009 were not affected by the financial crisis as much.     

Inward Investment and Technical Progress in the United Kingdom Manufacturing Sector

This paper investigates the impact of direct investment by foreign‐owned companies on technical progress and hence labour productivity in the UK manufacturing sector. Using an industry‐level panel data set we find that foreign‐owned firms have a significant positive effect on the level of technical efficiency in domestic firms. There is evidence of significant intra‐industry and inter‐industry spillovers from inward investment. These findings remain robust even when other factors such as imports and domestic R&D expenditures are allowed for. Inward investment appears to be a much more important source of technical progress than foreign trade.     

Economic openness and technical efficiency: A case study of Chinese manufacturing industries

This paper presents a study of the technical efficiency of industries in a transitional economy: China. Using data for 28 manufacturing industries across 29 provinces and the Data Envelopment Analysis approach, the technical efficiency of each industry is measured and compared across regions and provinces. The determinants of differential technical efficiency performance are analysed, with a particular focus on the impact of trade orientation and foreign investment. Trade openness is found generally to have a positive effect on technical efficiency.     

Market deregulation,trade liberalization and productive efficiency in Bangladesh agriculture: an empirical analysis

The impact of trade liberalization and of market deregulation in general, on the performance of agriculture remains contentious and empirical issue in the literature. Following the random coefficient frontier modelling framework, this paper attempts to contribute to this debate by computing the farm-specific productive efficiency indices in Bangladesh agriculture before and after reform. It also examines the impact of some farm-specific and policy variables on productive efficiency. The empirical results show that there are wide variations in productive efficiency across farms and regions and the average efficiency of all regions increased modestly by 8 percentage points from the pre-reform to post-reform period. The efficiency differentials are largely explained by farm size, infrastructure, households' off-farm income and the reduction of government anti-agricultural bias in relation to trade and domestic policies. The implication of these results suggests the need for further policy reform to augment productive efficiency.     

Economic and environmental impacts of trade liberalization: The case of Indonesia

In recent years, there has been a growing interest in the environmental impacts of trade liberalization. This paper provides further discourse in this area with a study on Indonesia and its trade agreements with Japan (IJEPA) and ASEAN (AFTA). A static global CGE model, known as the Global Trade Analysis Project, was used to project the Indonesian economy to the year 2022, with and without tariff reforms agreed under the agreements. Environmental impacts are assessed using different pollution indicators—air, water and waste. The study suggests that Indonesia would grow rapidly over the period considered with a large deterioration in its environment. Following these, however, the agreements only have a marginal positive impact on Indonesia's output but with a noticeable increase in trade flows and signs of trade diversion. Overall AFTA has a greater impact on the Indonesian economy compared to IJEPA. Similarly, the impact of trade liberalization on the environment is marginal. On the whole, tariff reform is inducing air pollution and reducing water pollution. In conclusion, the study suggests that Indonesia's participation in the AFTA and IJEPA agreements is not likely to bring drastic changes to her economic and environmental performance.     

Technical Efficiency in Australian Textile and Clothing Firms: Evidence From the Business Longitudinal Survey

This paper estimates technical efficiency of Australian textile and clothing firms based on the data obtained from the Business Longitudinal Survey (BLS) conducted by the Australian Bureau of Statistics (ABS). Using a Cobb Douglas stochastic production frontier the paper examines firm level technical efficiency in the time varying inefficiency effect model with technical inefficiency effects assumed as an independently distributed truncated normal variable. Estimates of the production frontier revealed significant but small elasticities of labour and capital for textile and clothing firms, respectively, and a negative (but insignificant) Hicks neutral technical change for both. Estimated coefficients of the explanatory variables for inefficiency effects indicated that technical efficiency varied significantly according to firms' age, size, capital intensity, proportion of non-production to total workers and type of legal status. Predicted firm specific efficiency varied from 16 per cent to 95 per cent and mean efficiency ranged between 30 to 70 per cent. In view of these results policies have been suggested to improve technical efficiency of the firms as well as productivity growth of the sub sectors.     

AN ATTEMPT TO EXPLAIN DIFFERENCES IN ECONOMIC GROWTH: A STOCHASTIC FRONTIER APPROACH

Total factor productivity (TFP), factor accumulation, and growth are analysed for a panel of 40 countries in 2001–11. TFP growth and technical inefficiency are estimated using a stochastic frontier model. Environmental variables are found to have an important role in explaining differences in inefficiency across countries. Over 2001–11, the general improvement in technical efficiency of countries is almost outweighed by technological regress. Results indicate that differences in factor accumulation between OECD and emerging economies are more important than differences in TFP change to explain differences in economic growth. Results also indicate negative and significant random shocks for the OECD countries.     

Human capital effects on technical inefficiency: a stochastic frontier analysis across industries of the Greek economy

In this paper we examine the impact of human capital on technical inefficiency. A stochastic production frontier is simultaneously estimated with a technical inefficiency model using data from one-digit industries of the Greek economy, for the period 2000–2005. The results indicate a significantly negative impact of human capital on technical inefficiency, which is comparatively lower in magnitude for the sector of public services. The most efficient industries of the Greek economy are those of Education, Financial intermediation and Real estate, renting & business activities. The highest contribution of human capital on technical efficiency is observed in the industries of Health, Education and Real estate, renting & business activities.     

Growth in transition economies: A trade policy perspective1

This paper examines the influence of trade liberalization on GDP growth during the transition from communism. The level of trade liberalization is found to raise the growth rate, particularly in the early part of the transition and for the countries nearest to the European Union. For the remaining countries and for the later transition period, the positive influence of trade reform on growth requires the negative effect of the interaction between trade reform and privatization to be taken into account. Even with the interaction terms the effect of trade liberalization is not statistically significant in the later transition period.     

Technological catching-up and structural convergence among US industries

Using a non-parametric programming framework, we analyze technological catching-up and structural convergence among 63 North American industries over the period 1987–2016. These two convergence processes can be estimated by efficiency gaps decomposed into two components: a technical efficiency effect taking into account industry size heterogeneity and a structural component which highlights the impacts of an input-output deepening or expanding effect over time. Secondly, a panel data analysis is performed to link input and output price evolutions with changes in technological catching-up and structural convergence. Results clearly show that convergence is observed for both technical and structural components. The impact of these convergence processes on the US economy is estimated at around 0.56 percentage points of additional growth and could be related to the liberalization of international trade and the increase of import competition. Moreover, these two convergence processes have positive influence on final demand prices and profitability but negative impact on suppliers' prices while no effect can be established on employees' wages or capital providers' remunerations.     

Openness,Efficiency and Technology: An Industry Assessment

Most trade and macroeconomic models imply positive impacts on the economy from greater openness. And a key factor linking openness and progress is the efficiency with which resources are used. Empirically, however, the efficiency impacts of trade have been ambiguous. Using a stochastic frontier analysis, we examine the impact of openness on technical (in)efficiency for a sample of OECD economies. Unlike the bulk of related studies, we work at the industry level. Given recent debates, we additionally examine whether Information and Communication Technologies (ICT) expenditures impact openness and efficiency. We establish the elasticity of openness with respect to (in)efficiency; TFP and Scale Economies; and Technical Inefficiency across countries and sectors. Both openness and ICT usage have robustly positive impacts on efficiency. Our results shed light on the impact of, spillovers between, and heterogeneity across countries and industries from, increasing openness interacted with the use of advanced technologies.     

Specification and estimation of stochastic multiple-output production and technical inefficiency

This paper presents a primal-based approach for specification and estimation of multiple-output production frontiers that allows simultaneous identification and estimation of determinants of technical inefficiency. The proposed model extends the technical efficiency effects model by Battese and Coelli (1995) to general multiple-output technologies. An empirical application using Swedish health care panel data from the years 1989–1994 is included. The key issue is to test for the effects on technical efficiency of an organizational reform implemented with the primary purpose to increase efficiency. The results reveal no significant effect on technical efficiency of the reform, but evidence of overall decreased technical efficiency and technical progress in the provision of health care over the studied time period are found.