Evaluation of Economic Efficiency of Apple  Orchard Investments

Badiu, Dorin Emilian; Arion, Felix; Mureșan, Iulia C.; Lile, Ramona; Mitre, Viorel

doi:10.3390/su70810521

Cited by 40 publications

(23 citation statements)

References 15 publications

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“…4 x 2 m). Mean plot size was 1558 m, and the mean rootstock population was 194 rootstocks per plot. The age of the plots varied between 20 and 23 years.…”

Section: Methodsmentioning

confidence: 99%

“…As trees get depleted and production declines, the old orchard is terminated and a new one is replanted. Frequent turnover requires that orchard termination costs are minimized, so that they do not weigh too much on the financial performance of the operation . Hence, the strong interest in finding cost‐effective termination practices that may reduce the strain on farmer resources.…”

Section: Introductionmentioning

confidence: 99%

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Unearthing the hidden resource: biomass from rootstock recovery

Picchi

Pari²,

Scarfone³

et al. 2016

Biofuels Bioprod Bioref

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Termination of depleted orchards generates a large amount of residue, often turned into wood fuel. This operation is particularly diffi cult with rootstocks, which are laborious to extract and offer a very low-quality fuel. The authors tested a new technology, designed for effi cient rootstock extraction. Contrary to conventional excavator-based technology, the new technology is able to cut and lift rootstocks in one single pass. A side-by-side comparative test was conducted on 16 sample plots, in a pear orchard. Clean rootstock weight ranged between 3 and 7 kg, and sample plot yield varied from 4 to 9 t ha -1 fresh rootstocks, depending on varietal. The new technology was fi ve times more productive than the conventional technology, and allowed reduction of rootstock extraction cost by a factor of 3.8. The output-input energy balance was twice as favorable for the new technology, compared with the traditional one. No signifi cant changes were found for what concerned rootstock contamination: the weight of raw rootstocks consisted of over 50% of soil, which would require a separate cleaning operation. Adoption of the new technology described in this paper may dramatically increase the viability of root biomass supply.

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“…4 x 2 m). Mean plot size was 1558 m, and the mean rootstock population was 194 rootstocks per plot. The age of the plots varied between 20 and 23 years.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unearthing the hidden resource: biomass from rootstock recovery

Picchi

Pari²,

Scarfone³

et al. 2016

Biofuels Bioprod Bioref

View full text Add to dashboard Cite

show abstract

“…After %5 years, 'Honeycrisp' with TS (3230 trees/ha) on 'B.9' had a positive NPV in our study, whereas 9 years were needed when planting 539 trees/ha on 'M.M.111'. Similarly, in a study of Badiu et al (2015) in Romania, 4 years were reported to payback with high-density plantings (3175 trees/ha), whereas up to 10 years were needed for low densities (333 trees/ha); however, payback is not perfectly comparable with NPV because the former does not consider an investment recoup with interest.…”

Section: Discussionmentioning

confidence: 98%

Long-term Effects of Training Systems and Rootstocks on ‘McIntosh’ and ‘Honeycrisp’ Performance, a 20-year Study in a Northern Cold Climate—Part 2: Economic Analysis

Lordan¹,

Wallis²,

Francescatto³

et al. 2018

horts

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Orchard profitability relies on multiple factors such as cultivar, planting density, training system, rootstock, and fruit quality but is also strongly affected by growing climate and soil resources. To evaluate orchard profitability in a northern cold climate, a field trial was planted in Peru, Clinton County, NY, in 2002, with two apple cultivars (Honeycrisp and McIntosh), where we compared the Central Leader (CL) training system on ‘M.M.111’ rootstock; Slender Pyramid (SP) on ‘M.26’ and ‘Geneva® 30’ (‘G.30’); Vertical Axis (VA) on ‘M.9 (Nic® 29)’ (‘M.9’), ‘Budagovsky 9’ (‘B.9’), and ‘G.16’; SolAxe (SA) on ‘M.9’, ‘B.9’, and ‘G.16’; and Tall Spindle (TS) on ‘M.9’, ‘B.9’, and ‘G.16’. CL was planted at 539 trees/ha, SP at 1097 trees/ha, VA and SA at 1794 trees/ha, and TS at 3230 trees/ha. The aim of this study was to evaluate the economic profitability of ‘Honeycrisp’ and ‘McIntosh’ at a wide range of planting densities, training systems, and rootstocks for cold areas such as northern New York state. A secondary goal was to assess the effect of various economic factors on the net present value (NPV) of each combination of training system, rootstock, and density. High NPV was achieved with ‘Honeycrisp’ (≈$450,000/ha), whereas NPV was significantly lower with ‘McIntosh’ (≈$80,000/ha). Within ≈5 years, ‘Honeycrisp’ planted in a TS (3230 trees/ha) reached a positive NPV, whereas 9 years were needed when ‘Honeycrisp’ was planted in a CL system at 539 trees/ha. With ‘McIntosh’, break-even year to positive NPV (BYPNPV) was reached at 9 years for TS on ‘M.9’. Most of the other training system and rootstock combinations needed up to 11–13 years to show a positive NPV. The most important variables affecting orchard NPV in our trial were fruit price and yield. The best option for ‘Honeycrisp’ in northern New York State appears to be TS on either ‘B.9’ or ‘M.9’, whereas with ‘McIntosh’, the best option appears to be TS on ‘M.9’.

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“…Given that MOE are taken from early studies of performance evaluation, it is reasonable to point the discussion about this concept starting from Levis at MIT (Levis, 1986) and further such as Waltz and Llinas (Hall, 1992). The term MOE has more recently been used to indicate measures of performance (Green and Johnson, 2002;Badiu et al, 2015) as well as customer satisfaction or compliance (Laere, 2009). It has been also used anywhere in a system and at any level, insofar as a customer has corresponding requirements.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Integrated Effectiveness of Regional Development: Directions for Regional Government

Anna¹,

Malik²

2020

ERSJ

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Purpose: The purpose of the study is to identify the proper economic tools to evaluate the effectiveness and efficiency of a regional development policy. Design/Methodology/Approach: The proposed methodology consists of three stages. At the first stage, the indicators are analyzed, allowing pointing the level of particular development dimensions in the self government strategy. At the second stage, indicators characterizing the efficiency of Opolskie Regional Operating Programme (OROP) and Development Strategy of Opole Voivodeship are examined. The third final stage is the analysis of the integrated effectiveness of regional development policy. The research methodology is based on the use of the following methods: desk research, the method of grouping statistical data, and the method of effectiveness analysis. Findings: The proposed methodology let us to find the need of redefining the tool enabling the measure of the degree of imbalance as the result of leading the regional development policy, as well as the uneven development potentials. Practical Implications: The authors purpose a new approach to the regional development policy by defining the complementary tools for regional self government evaluation. Originality/Value: The authors propose the new approach to the regional development policy programming, especially by redefining regional needs included into regional strategies.

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Evaluation of Economic Efficiency of Apple Orchard Investments

Cited by 40 publications

References 15 publications

Unearthing the hidden resource: biomass from rootstock recovery

Unearthing the hidden resource: biomass from rootstock recovery

Long-term Effects of Training Systems and Rootstocks on ‘McIntosh’ and ‘Honeycrisp’ Performance, a 20-year Study in a Northern Cold Climate—Part 2: Economic Analysis

Measuring the Integrated Effectiveness of Regional Development: Directions for Regional Government

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