| Literature DB >> 30596672 |
Puwadej Thanichanon1, Dietrich Schmidt-Vogt2, Michael Epprecht3, Andreas Heinimann3, Urs Wiesmann3.
Abstract
This study investigates the effects of improved market accessibility on agricultural land use and basic wellbeing, defined by income and rice sufficiency, in Xayaburi province, Lao PDR through a meso-scale and actor-oriented approach with data collection at both district and household level. It also investigates farmers' decision-making as it relates to regional markets. Increasing market accessibility in rural areas facilitates cash crop trade leading to agrarian change from subsistence to commercial agricultural systems. This transformation raises concerns about food security and vulnerability to market uncertainties as farmers are likely to grow cash crops intensively and in place of food crops, leading to lower food production. Meanwhile incomes from cash crop trade are highly vulnerable to market uncertainties. We found that farmers in the south of Xayaburi, where market accessibility is higher than in the north, primarily grow cash crops and do not suffer from rice insufficiency while farmers in the north, where market accessibility is lower, rely more on subsistence agriculture and have a lower level of basic wellbeing. The major factors of better basic wellbeing in the south include: (1) better market accessibility which can mitigate the risks of market uncertainty and create enough income to compensate for and overcome losses in rice production, (2) availability of more arable land due to a larger amount of level terrain which allows farmers to expand cash crop cultivation and continue growing rice at the same time, and (3) farmer strategy to keep a part of their land for growing rice to meet their minimum consumption needs and prevent the risks of rice insufficiency.Entities:
Mesh:
Year: 2018 PMID: 30596672 PMCID: PMC6312269 DOI: 10.1371/journal.pone.0209166
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Comparison of accessibility to agricultural markets at the district level.
| Districts | Percentage of villages that can be accessed by car | Number of trading companies | Number of marketplaces | Value of export crop products from trading companies | Average income from cash crops per household | Percentage of cash crop farmers | Average farm gate price of maize |
|---|---|---|---|---|---|---|---|
| Xayaburi (n) | 76 | 41 | 6 | 144 | 9,211 | 54 | 3.8 |
| Xaysathan (n) | 6 | 0 | 0 | 0 | 614 | 66 | n/a |
| Phiang (n) | 98 | 10 | 11 | 34 | 10,564 | 78 | 4.2 |
| Paklai (s) | 87 | 52 | 15 | 536 | 55,690 | 84 | 5.0 |
| Thongmixai (s) | 100 | 22 | 1 | 26 | 34,352 | 92 | 5.0 |
| Kentao (s) | 100 | 42 | 8 | 799 | 62,542 | 93 | 6.0 |
| Boten (s) | 100 | 17 | 7 | 24 | 21,023 | 86 | 5.0 |
Sources: researcher’s survey (2011–2012) and
* DOICs (2011)
** DPI (2008)
Note: (n) indicates districts in the north, (s) indicates districts in the south
Agricultural land use at the district level.
| Districts | Agri. area | Cash crop area | Percentage of cash crop area | Avg. crop area per hh. | Avg. paddy area per hh. (ha) |
|---|---|---|---|---|---|
| Xayaburi (n) | 14,424 | 5,499 | 39 | 0.78 | 0.32 |
| Xaysathan (n) | 1,657 | 51 | 3 | 0.86 | 0.02 |
| Phiang (n) | 11,154 | 4,213 | 38 | 0.66 | 0.52 |
| Paklai (s) | 33,182 | 25,300 | 76 | 2.05 | 0.44 |
| Thongmixai (s) | 4,128 | 2,758 | 67 | 1.51 | 0.68 |
| Kentao (s) | 25,584 | 18,949 | 74 | 2.48 | 0.56 |
| Boten (s) | 8,393 | 3,767 | 45 | 1.17 | 0.79 |
Source: DPIs (2008)
Note: (n) indicates districts in the north, (s) indicates districts in the south
Income and rice production at the district level.
| Districts | Avg. total income per person | Avg. income from cash crops per person | Per. of income from cash crops | Total rice production | Rice production per person (kg/year) | Per. of poor hhs. |
|---|---|---|---|---|---|---|
| Xayaburi (n) | 33,064 | 9,258 | 28 | 20,668 | 316 | 6 |
| Xaysathan (n) | 19,960 | 7,385 | 37 | 2,670 | 216 | 17 |
| Phiang (n) | 31,292 | 9,075 | 29 | 22,883 | 440 | 6 |
| Paklai (s) | 38,924 | 20,630 | 53 | 18,280 | 280 | 1 |
| Thongmixai (s) | 30,996 | 18,598 | 60 | 5,127 | 588 | 1 |
| Kentao (s) | 39,824 | 19,912 | 50 | 16,833 | 432 | 0 |
| Boten (s) | 39,868 | 16,745 | 42 | 8,024 | 450 | 1 |
Source: DPIs (2008)
Note: (n) indicates districts in the north, (s) indicates districts in the south
Agricultural land use at the household level.
| Region | No. of samples | Avg. agri. area | Avg. cash crop area | Avg. paddy area | Avg. upland rice area | Percentage of cash crop area | Percentage of food crop area |
|---|---|---|---|---|---|---|---|
| North | 56 | 2.7 (2.0) | 1.7 (1.7) | 0.6 (0.8) | 0.4 (0.6) | 62 | 38 |
| South | 65 | 4.0 (2.8) | 3.2 (2.5) | 0.7 (0.6) | 0.1 (0.3) | 80 | 20 |
Source: Researcher’s survey (2012)
Note: The value of standard deviation is provided in the brackets of each cell
Income and rice production at the household level.
| Region | Avg. total income | Avg. income from cash crops | Per. of income from cash crops | Avg. rice production |
|---|---|---|---|---|
| North | 86,000 | 31,000 | 46 | 2.7 |
| South | 116,000 | 87,000 | 76 | 2.3 |
Source: Researcher’s survey (2012)
Fig 1Location of Xayaburi Province, Lao PDR.
The figure is based on public domain data from Openstreet map and was produced on QGIS 2.16.
Fig 2Locations of district centers, main roads and border crossings in the study area.
The figure is based on public domain data from Openstreet map and was produced on QGIS 2.16.
The correlation between cash crop area and income and rice production at the village level.
| Variables | Agricultural Income | Total income | Rice production |
|---|---|---|---|
| % Cash crop area | 0.444 | 0.393 | 0.116 |
Note
** Correlation is significant at the 0.01 level
* Correlation is significant at the 0.05 level
The correlation between cash crop area and income and rice production at the household level.
| Variables | Agri. income | Total income | Wealth | Rice production |
|---|---|---|---|---|
| Cash crop area | 0.746 | 0.557 | 0.418 | 0.289 |
| % Cash crop area | 0.549 | 0.299 | 0.108 | - 0.191 |
Note
** Correlation is significant at the 0.01 level
* Correlation is significant at the 0.05 level
(-) Inverse relationship
Cross tabulation analysis between cash crop area and rice production at the household level.
| Cash crop area (ha) | Rice production (tons / year) | |||||
|---|---|---|---|---|---|---|
| < 1.0 | 1.0–1.9 | 2.0–2.9 | 3.0–3.9 | > 4.0 | Total | |
| < 1.0 | 12 | 13 | 1 | 3 | 6 | |
| 1.0–1.9 | 2 | 6 | 8 | 0 | 6 | |
| 2.0–2.9 | 3 | 3 | 8 | 3 | 2 | |
| 3.0–3.9 | 3 | 7 | 3 | 2 | 3 | |
| 4.0–4.9 | 2 | 2 | 1 | 3 | 3 | |
| > 5.0 | 1 | 2 | 1 | 0 | 12 | |
Cross tabulation analysis between agricultural area and rice production at the household level.
| Agricultural area (ha) | Rice production (tons / year) | |||||
|---|---|---|---|---|---|---|
| < 1.0 | 1.0–1.9 | 2.0–2.9 | 3.0–3.9 | > 4.0 | Total | |
| < 1.0 | 7 | 5 | 0 | 0 | 1 | |
| 1.0–1.9 | 6 | 10 | 2 | 3 | 5 | |
| 2.0–2.9 | 4 | 7 | 9 | 1 | 3 | |
| 3.0–3.9 | 3 | 2 | 3 | 3 | 5 | |
| 4.0–4.9 | 2 | 6 | 4 | 2 | 1 | |
| > 5.0 | 1 | 3 | 4 | 2 | 17 | |