A Richer Understanding of Australia’s Productivity Performance in the 1990s: Improved estimates based upon firm-level panel data

Australia’s productivity performance is characterized by important differences across continuing firms, frequent entry of new firms, and substantial exit of firms which, for one reason or another, decide to cease production. These basic facts call into question the appropriateness of measuring productivity using an aggregate production function that is based upon a representative firm. This study relaxes the standard assumptions that industries are comprised of a set of homogeneous firms, the set of which are constant over time. Instead, we apply a semi-parametric production to continue production. The model controls for the relationship between productivity shocks and input choices and the inter-relationship between these and the decision to continue production. Using the Business Longitudinal Survey we estimate an improved set of production functions for twenty-five two-digit industries in Australia. We use these results to examine aggregate industry-level productivity performance. We use a new aggregation method in calculating these changes which allows us to separate productivity changes and output composition changes which sheds new light on industry-level productivity performance in Australia.Firm-level production function estimation, multi-factor productivity, semiparametric estimation, Australian economic performance

Measuring Regulatory Restrictions in Logistics Services

This study measures the extent of restrictions on trade in logistics services in the ASEAN+6 economies by constructing a logistics regulatory restrictiveness index for each economy that quantifies the extent of government regulations faced by logistics service providers. This is the first study of its kind to construct a regulatory index of the entire logistics sector, which includes the main modes of international transport and customs restrictions. The indices show that large differences exist in the logistics regulatory environment of ASEAN+6 economies. Many of these economies are open to trade in logistics services, while others are relatively restrictive. Malaysia, China, Indonesia, Lao PDR, the Philippines and Vietnam are the most restrictive economies of logistics services in this region. Relatively, Singapore and Australia are the most open economies for trade in logistics services, along with Japan and New Zealand. Preliminary investigations find evidence of negative relationships between logistics regulatory restrictiveness and logistics sector performance, as measured by the World Bank's Logistics Performance Index and its sub-components. These findings support that notion that a less restricted trade environment results in better performance for the logistics sector.Logistics, Transport, Government Regulation, Trade, East Asia

A Richer Understanding of Australia’s Productivity Performance in the 1990s: Improved estimates based upon firm-level panel data

Australia’s productivity performance is characterized by important differences across continuing firms, frequent entry of new firms, and substantial exit of firms which, for one reason or another, decide to cease production. These basic facts call into question the appropriateness of measuring productivity using an aggregate production function that is based upon a representative firm. This study relaxes the standard assumptions that industries are comprised of a set of homogeneous firms, the set of which are constant over time. Instead, we apply a semi-parametric production to continue production. The model controls for the relationship between productivity shocks and input choices and the inter-relationship between these and the decision to continue production. Using the Business Longitudinal Survey we estimate an improved set of production functions for twenty-five two-digit industries in Australia. We use these results to examine aggregate industry-level productivity performance. We use a new aggregation method in calculating these changes which allows us to separate productivity changes and output composition changes which sheds new light on industry-level productivity performance in Australia

A Richer Understanding of Australia’s Productivity Performance in the 1990s: Improved estimates based upon firm-level panel data

Australia’s productivity performance is characterized by important differences across continuing firms, frequent entry of new firms, and substantial exit of firms which, for one reason or another, decide to cease production. These basic facts call into question the appropriateness of measuring productivity using an aggregate production function that is based upon a representative firm. This study relaxes the standard assumptions that industries are comprised of a set of homogeneous firms, the set of which are constant over time. Instead, we apply a semi-parametric production to continue production. The model controls for the relationship between productivity shocks and input choices and the inter-relationship between these and the decision to continue production. Using the Business Longitudinal Survey we estimate an improved set of production functions for twenty-five two-digit industries in Australia. We use these results to examine aggregate industry-level productivity performance. We use a new aggregation method in calculating these changes which allows us to separate productivity changes and output composition changes which sheds new light on industry-level productivity performance in Australia

A Richer Understanding of Australia's Productivity Performance in the 1990s: Improved Estimates Based Upon Firm-level Panel Data

Australian industry is characterised by differences across firms, entry of new firms and exit of unsuccessful firms. These facts highlight the inappropriateness of measuring productivity using aggregate production functions based upon representative firms. In this study, we model heterogeneous firms which change over time. We model the interrelationship between productivity shocks, input choices and decisions to cease production. Firm-level data provides production function estimates for 25 two-digit Australian industries. A new aggregation method for industry-level data allows us to separate productivity changes from output composition changes. Our study sheds new light on the Australian productivity performance

Australia's Firm-level Productivity - a New Perspective

Not all firms contributed to Australia’s impressive productivity growth in the 1990s. Some performed better than others, and entrants arrived even as incumbents exited. If firms make decisions on input demand and liquidation based on their productivity, the latter known to them but unobserved by the econometrician, this gives rise to simultaneity and selection problems which bias the traditional estimators of production function coefficients. We apply a semiparametric technique that endogenises input choices and firm exit decisions to obtain production function estimates on Australian firms. Estimation is carried out using the Business Longitudinal Survey, Australia’s only business longitudinal micro-dataset which tracks firm entry and exit. We analyse over twenty industries at the 2-digit ANZSIC level. Results from production function estimation provide interesting insights on the micro processes at work within industries and the differences across industries. The relative contribution of continuing and entering/exiting firms to Total Factor Productivity growth is then assessed, using a recently proposed decomposition method that corrects for earlier methods’ failure to meet the property of monotonicity in their indicator of aggregate productivity change. This highlights the role of firm dynamics, and the forces of regulation, innovation and competition propelling them, as an indelible part of the bigger productivity improvement picture.production function, total factor productivity, semi-parametric estimation

Trade facilitation in ASEAN and ASEAN+1 FTAS: An analysis of provisions and progress

Regional trade agreements concluded in recent years have increasingly included provisions on trade facilitation. Although ASEAN 1 FTAs vary in their scope, specificity and depth of commitments on trade facilitation, they tend to cover several core areas and affirm the application of international agreements, standards and instruments. A review of trade facilitation performance through a constructed Core Trade Facilitation Index shows that there are great disparities among ASEAN countries and their FTA partners. In considering the treatment of trade facilitation in a regional comprehensive economic partnership between ASEAN and its dialogue partners, attention could be given to defining a consistent set of trade facilitation principles, adopting specific measures, monitoring performance, implementing capacity-building measures and keeping abreast of developments in multilateral negotiations on trade facilitation.Marie Isabelle Pellan & Marn-Heong Won