Installing python kernel in a Conda environment

I have just started using jupyter notebook for my development process. I started by creating a new python environment:

$ conda create -n testenv

Then I activate it:

$ source activate testenv

And install python kernel module:

$ pip install ipykernel

Now that's when the fuzziness begins. I want to create a new kernel specifically to my active environment only. Following documentation, I did:

$ python -m ipykernel install --user --name testenv --display-name "Python (testenv)"

With this I believe I have just created a new Python kernel for the testenv environment to be used within Jupyter Notebook. Now, I want to confirm this information and I check:

$ jupyter kernelspec listAvailable kernels:testenv   /home/{{user}}/.local/share/jupyter/kernels/testenvpython2   /home/{{user}}/miniconda2/share/jupyter/kernels/python2$ conda env list# conda environments:#base         /home/{{user}}/miniconda2testenv   *  /home/{{user}}/miniconda2/envs/testenv

I was expecting to see my kernel installed within the testenv environment, something like:

/home/{{user}}/miniconda2/envs/testenv/kernels/testenv

I am failing to see how do the environments and kernels tie together and how can I confirm this information.