scholarly journals What Is ‘Value’ and How Can We Capture It from the Product Value Chain?

2016 ◽  
pp. 297-313 ◽  
Author(s):  
Jacquetta Lee ◽  
James R. Suckling ◽  
Debra Lilley ◽  
Garrath T. Wilson
Keyword(s):  
Value Chain ◽  
Product Value ◽  
Is Value

Effects of precommercial thinning on the forest value chain in northwestern New Brunswick: Part 4 – Lumber production, quality and value

2013 ◽  
Vol 89 (04) ◽  
pp. 474-489 ◽  
Author(s):  
Isabelle Duchesne ◽  
Doug G. Pitt ◽  
Francis Tanguay
Keyword(s):  
Value Chain ◽  
Positive Impact ◽  
Abies Balsamea ◽  
Basic Density ◽  
Production Quality ◽  
Balsam Fir ◽  
Appreciable Effect ◽  
Precommercial Thinning ◽  
Product Value ◽  
Negative Effect

Forty-eight years after application, three nominal precommercial thinning (PCT) spacings of 4 ft (1.2 m), 6 ft (1.8 m) and 8 ft (2.4 m) were compared to an unthinned control in six replicate, balsam fir (Abies balsamea [L.] Mill.)-dominated stands. Within three of these replicates chosen for clearcut harvest in 2008, a total of 150 trees were bucked into 479 sawlogs that produced 10 829 board feet of lumber. PCT had a positive impact on Premium lumber grade recovery per tree, increasing it from an average of 9 foot board measure (fbm) in the unthinned control plots, to 22 fbm in plots nominally spaced to 8 ft (p = 0.02). No. 2 & Better grade yields increased from 42 to 76 fbm/tree in these same sets of plots (p < 0.01). PCT to 6 ft and 8 ft increased the production of 2×4 and 2×6 lumber over the control (p ≤ 0.04). Stand-level gross total product value increased between 11% and 23% in thinned stands (estimated at +$3000 to +$6600 per ha, p < 0.01). PCT had no appreciable effect on sawn lumber wood density (p ≥ 0.26) or lumber stiffness (MOE; ≤-6.2%, p ≥ 0.11), but had a negative effect on lumber strength (MOR; ≤ -13.4%, p ≤ 0.03) and wood basic density at stump height (≤- 7%; p < 0.01). MDF panel properties were generally good, regardless of spacing. We recommend thinning young balsam fir stands to a maximum nominal spacing of 6 ft (1.2 m) to maintain satisfactory lumber mechanical properties and maximize product value per hectare.

scholarly journals Development of a Methodology to Analyze Energy and Resources Consumption Along the Product Value Chain

Procedia CIRP ◽  
2015 ◽  
Vol 33 ◽  
pp. 145-150 ◽  
Author(s):  
Andrea Luzi ◽  
Eugenia Marilungo ◽  
Michele Germani
Keyword(s):  
Value Chain ◽  
Product Value

scholarly journals Participative Innovation Platforms (PIP) for Upgrading NTFP Value Chains in East Africa

2020 ◽  
Vol 19 (4) ◽  
pp. 419-438
Author(s):  
Eckhard Auch ◽  
Jürgen Pretzsch
Keyword(s):  
Value Chain ◽  
Gum Arabic ◽  
Forest Product ◽  
Government Support ◽  
Value Chains ◽  
Learning Approach ◽  
Product Value ◽  
Innovation Platform ◽  
Poor Infrastructure

Abstract Improving forest product value chains is considered a means to solve forest-related challenges in the Global South. The ‘Participative Innovation Platform’ (PIP) instrument has been developed to design and to continually adapt solutions and strategies for effective cooperation amongst value chain actors. The instrument is rooted in the action-oriented and social learning approach, combined with the concept of innovation systems. This paper presents findings from three PIPs conducted for upgrading non-timber forest product value chains in Ethiopia (bamboo, natural gums) and Sudan (gum Arabic). A comparative analysis of highest ranked contents revealed similarities in the challenges: lack of government support, poor infrastructure, producers’ lack of knowledge and skills, and lack of market information. Priority upgrading measures focused on producers’ knowledge, skills, and capacity to engage in collective action and to lobby interests, and on capital resources to invest in processing technology. It is concluded that although the PIP instrument presents an innovative way to upgrade forest-based value chains, the instrument requires a long-term process with frequently held platform meetings, conducted by neutral institutions with skilled moderators. Crucial in this process is the need to consistently verify and ensure that all actor groups of the chain are represented, and are confident they will derive benefits from the value chain upgrading.

scholarly journals ANALISIS RANTAI NILAI TEPUNG KELAPA PADA PT. TROPICA COCOPRIMA

2018 ◽  
Vol 14 (1) ◽  
pp. 169
Author(s):  
Hamni ., Pisalemo ◽  
Nordy F. L. Waney ◽  
Lorraine W. Th. Sondak
Keyword(s):  
Value Chain ◽  
Sampling Method ◽  
Raw Materials ◽  
Secondary Data ◽  
Primary Data ◽  
Value Chain Analysis ◽  
Focal Firm ◽  
Chain Analysis ◽  
Secondary Data Sources ◽  
Is Value

This study aims to determine the value of coconut flour at PT. Tropica Cocoprima. This research has been conducted at PT. Tropica Cocoprima and actors in its supply chain located at Jalan Trans Sulawesi Lelema Village Tumpaan Subdistrict of South Minahasa Regency. The type of data used is primary data and secondary data. Sources of data were obtained through interviews using questionnaires containing questions related to this study. The sampling method is Purvosive Sampling and the sample is PT. Tropica Cocoprima as focal firm and suppliers of raw materials as many as 5 suppliers as well as coconut farmers as much as 2 farmers taken from each supplier. The method of analysis used in this research is value chain analysis with cost and margin approach. Based on the research results can be concluded that the value chain of coconut flour at PT. Tropica Cocoprima There are several actors involved in the process of value creation. The actors involved are coconut farmers and suppliers who bring raw materials to PT. Tropica Cocoprima. The actors involved in the value chain of coconut flour each earn a margin that corresponds to the effort that has been done. Coconut flour value chain at PT. Tropica Cocoprima from one, two and three actors experienced value increase is Rp.195.000.000. Margin received by PT. Tropica Cocoprima amounting to Rp.12.277.822 then the supplier obtained a margin of Rp.6,675,000 and the farmer earned a margin of Rp.100.102.700.

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