  We present the measurements of the small-scale clustering for the emission
line galaxy (ELG) sample from the extended Baryon Oscillation Spectroscopic
Survey (eBOSS) in the Sloan Digital Sky Survey IV (SDSS-IV). We use conditional
abundance matching method to interpret the clustering measurements from
$0.34h^{-1}\textrm{Mpc}$ to $70h^{-1}\textrm{Mpc}$. In order to account for the
correlation between properties of emission line galaxies and their environment,
we add a secondary connection between star formation rate of ELGs and halo
accretion rate. Three parameters are introduced to model the ELG [OII]
luminosity and to mimic the target selection of eBOSS ELGs. The parameters in
our models are optimized using Markov Chain Monte Carlo (MCMC) method. We find
that by conditionally matching star formation rate of galaxies and the halo
accretion rate, we are able to reproduce the eBOSS ELG small scale clustering
within 1$\sigma$ error level. Our best fit model shows that the eBOSS ELG
sample only consists of $\sim 12\%$ of all star-forming galaxies, and the
satellite fraction of eBOSS ELG sample is 19.3\%. We show that the effect of
assembly bias is $\sim20\%$ on the two-point correlation function and $\sim5\%$
on the void probability function at scale of $r\sim 20 h^{-1}\rm Mpc$.
