Productivity growth on Finnish grain farms from 1976 2006: a parametric approach

Myyrä, Sami; Pihamaa, Pekka; Sipiläinen, Timo

doi:10.23986/afsci.5959

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…However, it is well known that plant breeding continuously improves grain varieties. Nevertheless, as noted by Peltonen-Sainio et al (2009), this increasing yield potential is not fully utilized on Finnish grain farms. The most important reason behind this is that cereal production has become less intensive due to the application of strict environmental programmes and also reduced economic incentives.…”

Section: The Stationarity Of Exogenous Crop Yieldsmentioning

confidence: 94%

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Farm-level crop yield distribution estimated from country-level crop damage

Myyrä

Jauhiainen

2012

Food Economics

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Commercial yield insurances are not available for Finnish farmers. However, local legislation and the Common Agricultural Policy (CAP) in the EU are moving towards commercial yield insurances. The crop damage compensation (CDC) programme implemented in Finland will expire within a few years and CAP rules suggest premium support of up to 65% for commercial yield insurances. Regardless of these major changes, Finnish insurance companies have not yet shown great interest in supplying insurance schemes. We strongly believe that this is due to uncertainty over the yields to be insured. Asymmetric information is a well-established phenomenon in the insurance industry. In yield insurances, it results from farmers having better knowledge of their yields than insurance companies. This paper estimates the unknown and latent farm-level crop yield distribution that is consistent with the indemnity frequency realized under the CDC programme implemented in Finland. The frequency of granted indemnity payments reveals the underlying yield density function interest among potential yield insurance companies. The estimated yield distribution is normalized to and compared with the aggregate level yield distribution as well as farm-level observations from various sources. The results reveal that no unambiguous answer exits for insurance company needs.

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Section: The Stationarity Of Exogenous Crop Yieldsmentioning

confidence: 94%

“…The annual variation is, however, noted as a significant explanatory variable in TFP (Myyrä et al, 2009). …”

Section: The Stationarity Of Exogenous Crop Yieldsmentioning

confidence: 97%

Farm-level crop yield distribution estimated from country-level crop damage

Myyrä

Jauhiainen

2012

Food Economics

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“…The small number of observations for organic farms poses a challenge for analyzing the organic technology separately. Earlier studies (e.g., Myyrä et al 2009) have shown that technical change has been relatively slow in Finnish crop farming, whereas the variation between consecutive years has been large. Inter-annual variation is mainly explained by weather fluctuations; Schlenker (2010) has recently shown that yields are particularly sensitive to weather in cold climates such as in Finland.…”

Section: Estimationmentioning

confidence: 96%

Opportunity costs of providing crop diversity in organic and conventional farming: would targeted environmental policies make economic sense?

Sipiläinen

Huhtala

2012

European Review of Agricultural Economics

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Opportunity costs of providing crop diversity in organic and conventional farming: Would targeted environmental policies make economic sense? Abstract Targeted environmental policies for farmlands may improve the cost-efficiency of conservation programs if one can identify the farms that produce public goods, or environmental outputs, with the least cost. We derive shadow values of producing crop diversity on conventional and organic crop farms to examine their opportunity costs of conservation. Non-parametric distance functions are estimated by applying data envelopment analysis to a sample of Finnish crop farms for the period 1994-2002. Our results show that there is variation in the shadow values between farms and the technologies adopted. The extent of cost heterogeneity and farms' potential for specialization in the production of environmental outputs determine whether voluntary programs such as auctions for conservation payments are economically reasonable.

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“…The TFPG can be affected by numerous factors, including social, economic, and natural factors, and technological progress has been widely acknowledged as a key factor. For example, Myyra, S. et al (2009) highlighted the nature of grain cultivation in Finland while also considering the overall trend of the TFP and the challenges and influencing factors faced due to annual changes [27]. Li, L. et al (2010) used a DEA to determine the changes in the TFP, the sources of growth, and the determinants at the farm level, and found that land terraces and access to credit greatly contributed to the TFP and technological growth [28].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatiotemporal Heterogeneity of Total Factor Productivity of Grain in the Yangtze River Delta, China

Wen

Lyu

Huang

2023

Land

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The total factor productivity of grain (TFPG) is critically important to secure food production, while its spatiotemporal heterogeneity in the urbanized area is largely ignored. Selecting 41 cities in the Yangtze River Delta, this study uses the data envelopment analysis (DEA) Malmquist index method to measure the TFPG in each city from 2012 to 2020 based on panel data, and explores the driving factors of the spatiotemporal evolution of the TFPG with the geographically and temporally weighted regression model. The results indicate the following: (1) Both the TFPG and technological progress varies in the same direction, indicating that technological progress dominates the TFPG in the studied region. The changes in technical efficiency, pure technical efficiency, and scale efficiency are relatively stable. (2) The spatial distribution of the TFPG shows a decentralized trend, with a pattern of high in the north and east areas and low in the south and west areas. (3) The driving factors, such as the development level of the grain economy, the amount of fertilizer used per unit area, and gross domestic product (GDP) per capita, have a restraining effect on the improvement of the TFPG, in which the amount of fertilizer used per unit area is the critical factor. (4) The scale of per capita labor operation, the proportion of the grain-growing population, and output of grain per hectare exert a promoting effect on the TFPG, in which both the proportion of the grain-growing population and output of grain per hectare are the critical factors. Finally, improving the efficiency of fertilizer use, expanding the production scale of the grain planting industry, and increasing the output of grain per hectare are proposed to improve the TFGP in the Yangtze River Delta.

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Productivity growth on Finnish grain farms from 1976 2006: a parametric approach

Cited by 6 publications

References 18 publications

Farm-level crop yield distribution estimated from country-level crop damage

Farm-level crop yield distribution estimated from country-level crop damage

Opportunity costs of providing crop diversity in organic and conventional farming: would targeted environmental policies make economic sense?

Spatiotemporal Heterogeneity of Total Factor Productivity of Grain in the Yangtze River Delta, China

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