印度农场工资:趋势、增长动力及其与食品价格的联系

S. Saini, A. Gulati, Joachim von Braun, Lukas Kornher
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引用次数: 1

摘要

这项研究着眼于印度农场工资的趋势,分析了它们与食品价格的联系,并确定了推动其实际增长的因素。为此,我们采用定量和定性分析技术。使用向量误差修正模型(VECM)来确定农业工资通胀与食品通胀之间的联系,并使用混合平均组(PMG)估计方法(用于动态异质面板)来确定实际农业工资增长的驱动因素。在过去的20年里(1998-99年至2017-18年),印度农业劳动者的名义工资平均每年增长9.3%,实际工资增长3.2%。对于一名普通农业劳动者来说,日工资率从1998-99年的不到45印度卢比上升到2017-18年的229印度卢比左右。按实际价格计算(2004- 2005年价格),这一增幅从每天50印度卢比增加到大约90印度卢比。对月薪时间序列的实证分析发现,2007年1月出现了结构性断裂。具体来说,曲线在这个断点之前接近平坦,随后急剧上升。关于食品通胀与工资增长之间的关系,研究人员发现了食品工资螺旋式上升的证据,其中食品价格和农民工资的变化估计会相互影响。然而,食品通胀对工资的影响似乎强于工资通胀对食品通胀的影响,而且这种影响在2007-08年之后得到了加强。关于实际工资增长驱动因素的小组研究(1987-88年至2015-16年)是在2007年1月结构性断裂前后进行的。在此之前,实际工资的增长估计主要是由农业部门的增长推动的。在此期间,非农业部门(制造业和建筑业)的任何影响都不明显。然而,在休息之后,非农业(制造业和建筑业)和农业部门的增长解释了实际农业工资的急剧增长。大型公共农村就业方案MGNREGA(2005年推出)被确定为影响农村工资的第三种潜在力量;然而,除其他重要因素外,它对农业工资增长的贡献估计很低,而且有滞后性。基于这些发现的政策启示是,为了更快地提高实际农业工资,重点需要放在提高农业劳动生产率上。为了实现这一目标,中国需要领导农业改革,以加速农业gdp增长,并确保经济的其他部门,特别是制造业和建筑业,增长得更快,将劳动力从农业部门转移到制造业、建筑业,甚至服务业的生产率更高的工作岗位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indian Farm Wages: Trends, Growth Drivers and Linkages with Food Prices
This study looks at trends in Indian farm wages, analyses their linkage with food prices, and identifies factors which drove their growth in real terms. We employ quantitative and qualitative analysis techniques for this purpose. A vector-error correction model (VECM) is used to determine the linkage between farm wage inflation and food inflation, and a pooled mean group (PMG) estimation method, used for dynamic heterogeneous panels, is used to identify the drivers of growth in real farm wages. In last 20 years (1998-99 to 2017-18), wages of India’s farm labourers increased at an average annual rate of 9.3 per cent in nominal and 3.2 per cent in real terms. For an average agricultural labourer, the daily wage rates increased from less than INR 45 in 1998-99 to about INR 229 in 2017-18. In real terms (2004-05 prices), this increase was from INR 50 to about INR 90 per day. The empirical analysis of the monthly wage time series identified a structural break in January 2007. Specifically, the curve is near-flat before this break-point subsequent which it rises sharply. On the relation between food inflation and wage growth, evidence was found of a food-wage spiral where changes in food prices and farm wages were estimated to impact each other. However, the impact of food inflation emerged to be stronger on wages than vice-versa and this impact was observed to strengthen post 2007-08. The panel study (1987-88 to 2015-16) on the drivers of real wage growth was conducted around the January 2007 structural break. Before this break, growth in real wages was estimated to be mostly driven by growth in the agriculture sector. Any influence of non-agricultural sectors (manufacturing and construction) did not emerge significant during this period. However, post the break, the growth witnessed in both- non-agricultural (manufacturing and construction sectors) and agricultural sectors explained the sharp increases in real farm wages. The large public rural employment program, MGNREGA (introduced in 2005) was identified as a third potential force of influence on rural wages; however, among other significant factors, its contribution to farm wage growth was estimated to be low and with a lag. Policy implications based on these findings are that for faster growth in real farm wages, focus needs to be on augmenting labour productivity in agriculture. In order to pursue that, one needs to lead reforms in agriculture that can accelerate agri-GDP growth and ensure that the rest of the economy, especially the manufacturing and construction sector, grow much faster pulling labour out from the agricultural sector to higher productivity jobs in manufacturing, construction, and possibly also services.
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