Technological Change and Productivity Growth in the Agrarian Systems of New Zealand and Uruguay (1870–2010)

Author(s):  
Jorge Álvarez Scanniello
2018 ◽  
Vol 67 (9) ◽  
pp. 1792-1815 ◽  
Author(s):  
Joko Mariyono

PurposeThe purpose of this paper is to investigate the productivity of rice production by decomposing the growth of total factor productivity (TFP) into four components: technological change, scale effects, technical and allocative efficiencies.Design/methodology/approachThis study employed an econometric approach to decompose TFP growth into four components: technological change, technical efficiency, allocative efficiency and scale effect. Unbalanced panel data used in this study were surveyed in 1994, 2004 and 2014 from 360 rice farming operations. The model used the stochastic frontier transcendental logarithm production technology to estimate the technology parameters.FindingsThe results indicate that the primary sources of TFP growth were technological change and allocative efficiency effects. The contribution of technical efficiency was low because it grew sluggishly.Research limitations/implicationsThis study has several shortcomings, such as very lowR2and the insignificant elasticity of labour presented in the findings. Another limitation is the limited time period panel covering long interval, which resulted in unbalanced data.Practical implicationsThe government should improve productivity growth by allocating more areas for rice production, which enhances the scale and efficiency effects and adjusting the use of capital and material inputs. Extension services should be strengthened to provide farmers with training on improved agronomic technologies. This action will enhance technical efficiency performance and lead to technological progress.Social implicationsAs Indonesian population is still growing at a significant rate and the fact that rice is the primary staple food for Indonesian people, the productivity of rice production should increase continually to ensure social security at a national level.Originality/valueThe productivity growth is decomposed into four components using the transcendental logarithm production technology based on farm-level data. The measure has not been conducted previously in Indonesia, even in rice-producing countries.


2010 ◽  
Vol 16 (2) ◽  
pp. 273-285 ◽  
Author(s):  
Laurent Botti ◽  
Walter Briec ◽  
Nicolas Peypoch ◽  
Bernardin Solonandrasana

2003 ◽  
pp. 85-112
Author(s):  
James Reveley

This chapter details the introduction of containerism to the shipping industry and the tremendous effect of rapid technological change that it brought about within the industry and the running of ports. It documents the disputes over the use of new cargo-handling equipment and the subsequent nationwide agreement to accomodate container ships at New Zealand ports. The conclusion demonstrates that though watersiders managed to secure favourable terms during the process, the terms were inherently unsustainable and counter-productive to the efficiency, and lower labour requirements, of the container industry.


2003 ◽  
Vol 37 (1) ◽  
pp. 93-118 ◽  
Author(s):  
Rolf Färe ◽  
Shawna Grosskopf ◽  
Dimitri Margaritis

2003 ◽  
Vol 2 (4) ◽  
Author(s):  
Ross C. Hemphill ◽  
Mark E. Meitzen ◽  
Philip E. Schoech

We trace the development of incentive regulation in the U.S. telecommunications, electricity, and natural gas industries. Telecom has moved much more in the direction of pure price cap regulation. Incentive regulation in electricity and gas has generally not strayed far from rate-ofreturn regulation. Reasons for these differences include differences in regulatory commitment, industry concentration, technological change and productivity growth, service quality concerns, and externalities. We conclude that electricity and gas can evolve to purer forms of price caps as they gain more experience with incentive regulation, and if the unique features of these industries are considered in plan design.


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