arbiter
JournalsPricingAccount

STRUCTURAL CHANGE AND THE INTERSECTORAL TERMS OF TRADE: SOUTHEAST ASIAN EXPERIENCE

Richard Grabowski & Sharmistha Self

Journal of Economic Development2019https://doi.org/10.35866/caujed.2019.44.2.002article
ABDC C
Weight
0.32

What the paper says

In this paper it is hypothesized that premature deindustrialization is related to the intersectoral terms of trade between agriculture and manufacturing. Using a dualistic model it is shown that factors which raise the price of agricultural goods relative to manufactured goods slow the rate of structural change from agriculture to manufacturing. Data from a number of Southeast Asian countries is used to create a panel data set to test the hypothesis. Indeed a rise in the relative price of agricultural goods does indeed slow structural change and that on important factor raising this relative price ratio has been the elimination of policies which indirectly tax agriculture. The policy implication is that in order to avoid this unexpected consequence of policy reform government policy must be aimed at dramatically increasing productivity growth in agriculture.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.35866/caujed.2019.44.2.002

Or copy a formatted citation

@article{richard2019,
  title        = {{STRUCTURAL CHANGE AND THE INTERSECTORAL TERMS OF TRADE: SOUTHEAST ASIAN EXPERIENCE}},
  author       = {Richard Grabowski & Sharmistha Self},
  journal      = {Journal of Economic Development},
  year         = {2019},
  doi          = {https://doi.org/https://doi.org/10.35866/caujed.2019.44.2.002},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

STRUCTURAL CHANGE AND THE INTERSECTORAL TERMS OF TRADE: SOUTHEAST ASIAN EXPERIENCE

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.32

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.17 × 0.4 = 0.07
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.