diff --git a/python/pyarrow/table.pxi b/python/pyarrow/table.pxi
index 1abe4235c41..4aa2c56159d 100644
--- a/python/pyarrow/table.pxi
+++ b/python/pyarrow/table.pxi
@@ -555,8 +555,9 @@ cdef class ChunkedArray(_PandasConvertible):
                 "If using `np.array(obj, copy=False)` replace it with "
                 "`np.asarray(obj)` to allow a copy when needed"
             )
-        # 'copy' can further be ignored because to_numpy() already returns a copy
         values = self.to_numpy()
+        if copy is True:
+            return np.array(values, dtype=dtype, copy=True)
         if dtype is None:
             return values
         return values.astype(dtype, copy=False)
diff --git a/python/pyarrow/tests/test_table.py b/python/pyarrow/tests/test_table.py
index cb010f4387b..9637ae3e3aa 100644
--- a/python/pyarrow/tests/test_table.py
+++ b/python/pyarrow/tests/test_table.py
@@ -144,6 +144,16 @@ def test_chunked_array_to_numpy():
     assert np.array_equal(arr1, arr2)
 
 
+@pytest.mark.numpy
+def test_chunked_array_array_copy_true_is_writable():
+    data = pa.chunked_array([[1, 2, 3]])
+    result = data.__array__(copy=True)
+
+    assert result.flags.writeable
+    result[0] = 99
+    assert result.tolist() == [99, 2, 3]
+
+
 def test_chunked_array_mismatch_types():
     msg = "chunks must all be same type"
     with pytest.raises(TypeError, match=msg):