A farmer’s lifesaver? Agricultural pro-poor growth in
Rwanda
If a country
solely focuses on overall rapid economic growth its inequality could increase
and the poorest among the poor could be negatively affected (Kuznets, 1055;
Shin, 2012). As an alternative and more balanced growth strategy, contemporary
development thinking has introduced the concept of pro-poor growth. Two general
definitions for pro-poor growth can be encountered in the recent literature.
One is mainly concerned with inequality and requires that the distribution of
growth favours the poor more than the rich (Baulch and McCullock, 2000; Kakwani
and Pernia, 2000). Concerning this definition, it should be noted that
contracting economies could also have “pro-poor” distributional effects; as
well, in expanding economies, even if the pro-rich benefit more than the pro-poor,
the later could have large absolute gains (Ravallion, 2004). Therefore,
Ravallion and Chen (2003) propose a pro-poor growth definition that only
focuses on the alleviation of poverty regardless of the distributional effects.
This definition states that pro-poor growth occurs if and only if overall
growth has positively favoured the poor.
Moreover, agriculture
is intrinsically related to poverty, as most of the poor have it as a primary
activity. Nonetheless, the impact of agriculture in development has been a
subject of continuous debate (Andersson and Rohne, 2017). Concerning pro-poor
growth and its relation to agriculture, researchers like Christiaensen, Demery,
and Kuhl (2010) used cross-country data and found that, in comparison to
non-agriculture sectors, agriculture is significantly more effective in
reducing poverty among the poorest of the poor. Nevertheless, Dorosh and
Thurlow (2016) found that the poverty growth elasticities for services and
manufacturing in agro-processing activities are similar to, and can sometimes surpass,
those of agriculture. Therefore, agricultural pro-poor growth should not only
be analysed through the direct impact of the agricultural sector, but also
through the sector’s linkages and multiplier effects. To provide a tangible
example, this paper will analyse agricultural pro-poor growth in Rwanda between
1995 and 2019 (the period after Rwanda’s civil war). Moreover, the essay will
answer the following research question:
Has agricultural
transformation generated pro-poor growth in Rwanda?
Rwanda is an
interesting country to study due to its rapid and unexpected recovery. During
the 1994 genocide, at 219.5$ (constant 2010 USD), Rwanda’s GDP per capita
became one of the lowest in Sub-Saharan Africa; however, between 1995 and 2019,
the country achieved an average annual GDP growth rate of 9.2%, one of the
highest in the region (World Bank, n.d.). Although, the agricultural sector’s
contribution has dropped from 89.1% in 1995 to 23.5% in 2019, during the same
time frame its nominal contribution increased by 357 % (World Bank, n.d.). Additionally,
the employment share of the sector remains high at 62.9% (World Bank, n.d.).
Considering the dimension of the sector, and the sector’s linkages and
multiplier effects (Haggblade, Hazell, and Dorosh, 2007; Schneider and Gugerty,
2011), it is evident that agriculture has played a relevant role in Rwanda’s
overall growth. Therefore, to analyse pro-poor growth in Rwanda, the paper will
first address the impact of overall economic growth into poverty, and then it
will specifically look into pro-poor growth of agricultural households.
If pro-poor
growth is analysed from the perspective of Ravallion and Chen (2003), it can be
stated that Rwanda’s growth has been pro-poor as it has been followed by a
reduction in monetary and non-monetary poverty. Between 2000 and 2016, the
poverty headcount ratio -at 1.90 $ a day- and the poverty gap respectively dropped
from 78% to 20.9% and from 38.9% to 20.9%; furthermore, the multidimensional
poverty headcount ratio dropped from 44.4% in 2010 to 28.7% in 2016 (World
Bank, n.d.). Nevertheless, regarding Baulch and McCullock (2000) and Kakwani
and Pernia (2000) approach, it should be noted that inequality has been
persistent, with income share variations of less than 1% for the bottom 50%,
middle 40%, top 10%, and top 1% groups (WID, n.d.) (See Figure 1).
Figure 1. Income Shares in Rwanda
Source: Author’s Elaboration with World Inequality
Database (n.d.) data
In addition
to traditional economic analysis, several tools have been developed to analyse
pro-poor growth. Some of the most relevant are the Growth Incidence Curve (GIC)
developed by Ravallion and Chen (2003), the Non-Income Growth Incidence Curve
(NIGIC) developed by Grosse, Harttgen and Klasen (2008), and the Opportunity
Curve (OC) developed by Ali and Son (2007). The GIC, NIGIC, and OC tools map
growth rates of households against household percentiles, but the GIC looks at
household income, the NIGIC addresses non-income dimensions of poverty such as
education and health, and the OC looks at the level of access to social
services.
Klasen and Reimers (2017), used the mentioned tools to analyse Rwandan pro-poor
growth in agricultural households. Exploring different dimensions of poverty -including
household expenditures, literacy, years of schooling, health problems, and access
to water- they found that poor agricultural households had grown at higher rates
than their counterparts (See Table 1). Moreover, as a central part of their
study, they proposed to examine pro-poor growth from a productivity
perspective. Thus, they estimated labour and land productivity increments in
each Rwandan household and found that, when compared to their productivity-rich
counterparts, productivity increased at a faster rate in productivity-poor
households(Note 1). In
the case of Rwanda, where over 70% of its population have subsistence farming
as one of their predominant activities (NISR, 2020); continuous pro-poor
productivity growth is vital to help people escape poverty as -through
exceeding production- it would allow farmers to transition from self-subsistence
agriculture into commercial agriculture.
Table 1. Rwanda pro-poor growth rates and growth rates in the
mean.
Source:
Adapted from Klasen and Reimers (2017)
Furthermore,
another relevant aspect of pro-poor growth is the implementation of development
policies. As Page (2006) states, one of the most efficient ways to achieve
pro-poor growth is through policies that promote engagement of the poor and guarantee
that they are actively participating and benefiting from the growth. In this regard, AGRA (2017) emphasizes that
Rwanda has carefully planned a national agenda that prioritizes agricultural
transformation by targeting specific value chains and providing platforms to channel
investments for smallholder farms. Similarly, ACET (2017) highlights that the
Rwanda government has implemented policies that have 1) improved land’s tenure
security through titling and mapping technologies, 2) enhanced land information
systems 3) reformed property law and 4) promoted women farmer-to-farmer
learning programs. Through these actions they have respectively increased credit
availability, facilitated land access, allowed women to legally own land, and
provided farming management education.
Financial and
market access opportunities are especially relevant for Rwandan smallholder
households, as only 16% of them have achieved food security and 60% are not
able to produce food of enough quality and quantity
(ICCO Cooperation, 2019). More capital would allow smallholders to invest
in purchasing better seeds, fertilizers, technology, and consequently increase
productivity and generate more income. Moreover, Carranza and Niles (2019)
examined four countries in SSA and found that in low-income countries
smallholder households do not only invest obtained credits in farming, but also
spend them in food, health, and education. Using credits to satisfy basic needs
is not necessarily an expense but could also be seen as a short-term and
long-term investment. A farmer that is well fed and with good health will in
turn be more productive, and a farmer that has better education will be more
capable of administering his own land.
To conclude, agriculture remains one of the main value-added sectors in Rwanda’s economy as well as the sector that employs most of the population. Agriculture is also the main economic activity for the poor in Rwanda. Despite income shares for the bottom 50%, middle 40%, top 10%, and top 1% groups have remained almost stagnant, overall monetary and non-monetary poverty declines demonstrate that Rwanda’s economic growth has substantially benefited the poor. As well, higher growth rates of the poorest agriculture households, in comparison to average households, provide further evidence of a pro-poor agricultural transformation in Rwanda. As previously explained, this higher growth rates have not only been experienced in household income, but also in other dimensions of poverty such as education, health, and access to services.
Moreover,
the reflected pro-poor growth tendency would have not been possible without
institutional support for development policies. In Rwanda, the government has
strategically prioritized agriculture with programs that have targeted specific
value chains, provided financial access to smallholder farmers, improved land
tenure security, reformed property rights for women, and provided farming
management training for the disadvantaged. Even though there is still room for
improvement, Rwanda’s experience is a good example of how traditional economic
growth can be accompanied by effective agricultural pro-poor growth strategies.
by Cesar Gonzalo Davila Novoa
Paper Presentation at Lund University (2021)
Notes
1. The faster increase in labour productivity-poor households was produced in relative but not absolute terms, while the land productivity-poor households had a faster increase in both aspects.
*The paper focuses in the positive aspects of agricultural pro-poor growth in Rwanda. There is a extensive debate about how effective the implemented policies have been. The author believes that, overall, the positive aspects outweigh the negative ones. However, he recognizes that there is room for discussion.
*Essay written for the "EKHT 41 – Agricultural Transformation in the Development Process" course at Lund University
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